The Midwest is home to a wealth of fossil fuel and renewable resources, which vary considerably by state. How those resources are deployed will impact the region’s economy, landscape, environment, and public health. The Power Almanac is designed to allow the user to flexibly and dynamically explore the region’s electric resources, opportunities, and challenges. Zoom in to an individual coal mine or power plant, or zoom out to compare wind and solar resources in the Midwest to the rest of the United States.
To get started, click on “Map” or “Begin Exploring.” Explore specific energy resources or emissions by making a selection from our menu of options. Relevant map data, key questions, and facts and figures related to your selection will appear on the right side of the screen. Scroll through relevant charts in the panel at the bottom of the map. Click
for additional notes and explanations.
Click on “Key Questions” to learn more about the Midwest’s energy resources and emissions. The “References & Data” tab contains detailed information on the original data sources and methods used.
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Examine generation, fuel source, age, and other characteristics of existing power plants in the Midwest.Explore Power Plants ▶
Power Plants
Assess wind and solar resource potential in the Midwest and learn about how the region is currently capturing these resources for power generation.Explore Solar | Wind ▶
Renewable Resources
Examine the Midwest’s production and consumption of coal and natural gas for power generation, as well as estimates of fossil reserves in the region.Explore Coal | Natural Gas ▶
Fossil Resources
Assess the Midwest’s emissions from the power sector and learn about the policies in place to regulate those emissions.Explore CO2 | Hg | NOx | SO2 ▶
Emissions
Browse the list to the right to see answers to important questions regarding power sources, emissions, energy policies, and more.
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Power Generation▼
Why should I care about electricity generation in the Midwest?
The Midwest consumes nearly 800 million megawatt-hours (MWh) of electricity per year to power homes, schools, businesses, and industry. This amounts to about 22 percent of total electricity consumed in the United States and requires the operation of more than 1,800 power plants and tens of thousands of miles of high-voltage transmission lines. How much electricity is used and how it is produced impacts the region's economy, landscape, environment, and public health.
Coal is the leading source of electric generation in the Midwest, currently accounting for almost 70 percent of electricity generated in the region in 2010. The other 30 percent was primarily natural gas and nuclear. Meanwhile, renewable sources accounted for only 3 percent. That mix is subject to change, however, as at least one quarter of the Midwest's total generation is from coal-fired units that are more than 40 years old* (U.S. EPA eGRID and U.S. EPA CAMD). The question of what will be built in its place remains to be answered. The relative cost of different resources as well as a number of new state and federal regulations, such as state Renewable Portfolio Standards, federal mercury standards, and EPA's proposed greenhouse gas performance standards for new sources will influence these decisions.
The region is home to a wealth of fossil fuel and renewable resources. These resources vary considerably by state. States will need to decide how best to deploy these resources to meet their electricity needs.
*Note, in order to calculate the most recent estimate of coal-fired generation by age, we used EPA's eGRID and Clean Air Markets Database (CAMD). These databases were mapped to each other using the DOE/EIA ORIS plant or facility code and the Unit ID to associate each unit's generation listed in CAMD to the unit's age listed in eGRID. The age for roughly 7 percent of the generation listed in the CAMD database could not be identified.
Why should I care about electricity imports and exports?
Electricity does not know state boundaries. As such, electricity imports and exports reflect the degree to which electricity is generated locally. The transmission lines span states and regions, and electricity generated in one state may be exported to another state. The interconnectedness of the grid makes it impossible to trace where the electricity from a specific power plant ends up.
Electricity generated in state provides local economic activity, but it may also have environmental impacts. As discussed in the emissions sections, states have implemented policies to reduce emissions. However, when crafting these policies, state policymakers are often concerned about how to balance protection of public health and the environment with the ability of the state's electricity generators to compete against generators out of state.
The Almanac provides net import and export figures, which compare the amount of electricity produced in state with in-state demand for electricity. States that are able to meet their demand with electricity produced in state, in theory, keep more revenue in their state and have more control over the fuel mix and emissions associated with electricity production. However, states can also be affected by out-of-state pollution that is generated from power plants located upwind from the state over which they have no control.
What are some of the new policies that are driving change in the power sector?
A number of state and federal laws, regulations, and policies that either are forthcoming or have been adopted in recent years aim at promoting renewable power generation and energy efficiency, and controlling air emissions from power generation. These laws and regulations have the potential to help change the mix of electricity generation in coming years.
Some of the major federal policies include the following:
- Renewable Electricity Production Tax Credit (PTC) and Business Energy Investment Tax Credit (ITC). These tax credits are available to taxpayers to help finance renewable energy projects. The PTC is currently set to expire at the end of 2012 for wind projects and at the end of 2013 for all other eligible sources. The ITC is set to expire at the end of 2016. Note that large-scale wind projects are not eligible for the ITC.
- Mercury and Air Toxics Standards (MATS). These rules set technology-based emissions standards for mercury and other toxic air pollutants for large power plants. These rules were finalized in December 2011.
- Cross-State Air Pollution Rule (CSAPR). CSAPR reduces SO2 and NOx emissions from large power plants through a multistate cap-and-trade program. These rules were finalized in July 2011, but a December 2011 court ruling directed the U.S. Environmental Protection Agency (EPA) not to implement the rule pending judicial review. As of February 2012, this review had not yet been completed. Click here for the latest status of this rule.
- Cooling Water Rule. These rules establish standards to reduce injury and death of fish and other aquatic life caused by cooling water intake structures at power plants and factories. EPA issued proposed rules in July 2011, but as of February 2012 the rules have not yet been finalized. Click here for the latest status of this rule.
- Performance Standards for Greenhouse Gases. These rules will establish greenhouse gas emissions standards for new, modified, and existing power plants. Click here for the latest information on these rules.
Some of the major state policies include the following:
- Renewable Portfolio Standards. Renewable Portfolio Standards require utilities to use renewable energy or renewable energy credits or certificates (RECs) to account for a certain portion of their retail electricity sales or generating capacity. Specific resources eligible for these programs varies by state.
- Net Metering. Some states allow net metering, where some utility customers--typically residential and smaller commercial customers--may sell the excess electricity generated from qualifying resources (e.g., solar or combined heat and power) back to the grid. This allows the owner of the renewable or other desirable technology to more fully capture its benefits.
- Energy Efficiency Resource Standards. Some states set energy efficiency targets for utilities or for the state as a whole. Utilities typically design these programs to include financial incentives to customers who install energy-efficient equipment or otherwise make their homes, businesses, and industries more efficient, thereby reducing overall demand from the utility.
- A number of states also have their own pollution control policies. Select different emissions sources on the map to begin exploring these policies.
You can learn more about the above policies and others by selecting the appropriate 'resource' and 'emissions' in the selection menu on the map.
How old is the existing fleet of power plants in the Midwest? Does this matter?
Nearly one-half of the Midwest's total generation capacity has been built in the last 30 years. The majority of this new generation is natural-gas fired. Nearly one-third of the Midwest's total generating capacity is more than 40 years old, and one-fifth is more than 50 years old. Over 75 percent of the generation capacity more than 50 years of age is coal fired.
The older coal units are typically less efficient than more modern generators of the same size, meaning more coal needs to be consumed to produce the same amount of electricity. Over time these older generators will be replaced, and the question remains as to what will be installed. Between 2002 and 2010, roughly 52,000 MW of new generation capacity has been installed in the Midwest, which is 20 percent of total in-region capacity. The majority of the new generators are powered by natural gas (63 percent) and renewable sources (26 percent), with only 9 percent powered by coal. The remaining generation (2 percent) is powered by other fossil resources.
What are the job implications of different generation options (e.g., coal, wind, gas, etc.)?
According to a 2010 study by the Brookings Institute, roughly 1.3 million jobs directly supported the production of fossil fuel-based energy, related products, and required machinery in the United States in 2010 (Brookings Institute). Meanwhile they estimated that the wind industry employed 24,000 people, and the solar technology industry employed almost 30,000 people. Absolute employment numbers, while important, only tell a part of the story, as total renewable generation is much lower than total fossil-based generation; wind and solar represented only 2.3 percent of electricity generation nationwide in 2010. Several independent studies that looked at trends in the clean energy industry found that the renewable energy sector generates slightly more jobs per megawatt of power installed, per unit of energy produced, and per dollar of investment than the fossil fuel-based energy sector (Brookings Institute, U.S. BLS, U.S. EIA, WRI).
What are the emission rates of coal- and natural gas-fired units?
Coal and natural gas emit different levels of pollutants when burned to produce electricity. Natural gas is effectively free of mercury and sulfur dioxide (SO2) emissions, and in general, plants that are powered by gas emit less nitrogen oxides (NOx) and carbon dioxide (CO2) for each MWh of electricity produced than plants powered by coal. While the combustion of natural gas results in less CO2 emissions than combustion of coal per Btu, the production and distribution of natural gas also can lead to leakage of methane, a potent greenhouse gas. This leakage reduces its global warming benefits. Precisely how much is under debate.
Under the Clean Air Act, new units are required to meet a 1.0 pound per MWh standard for NOx emissions and a 1.4 pound per MWh standard for SO2 emissions. As seen in the chart below, an average fossil-fired unit does not meet these standards without pollution control technologies. By installing at least one type of pollution control, these units emit 91-99 percent less NOx and SO2. Several states have also enacted emission standards for CO2.
More information on where these emissions come from and how they can be reduced can be found in the Key Question section for the relevant emission.

Combined Heat & Power▼
Why should I care about CHP?
Conventional electricity generation wastes two-thirds of the input fuel's energy potential during combustion, and even the most efficient combined-cycle natural gas power plants waste about one-half of the energy. Combined heat and power (CHP, or cogeneration) systems capture this otherwise wasted heat energy and use it to generate electricity and/or useful thermal energy. Due to its utilization of waste heat, CHP uses approximately 40 percent less energy than conventional production of heat and electricity (Brown, et al.,2011). For a given amount of electricity and heat utilization, CHP is more efficient, cheaper, and less emissions intensive than conventional combustion systems. Installation of CHP can raise total system efficiency to more than 80 percent (U.S. EPA).
How does installation of CHP in the Midwest compare to the rest of the country and the world?
Although combined heat and power (also known as CHP, or cogeneration) is a proven technology, it remains underutilized in the United States and in the Midwest. The Oak Ridge National Laboratory estimated that CHP amounted to 8.6 percent of U.S. electricity generation capacity and 12.6 percent of total U.S. electricity generation in 2008. A dozen industrialized countries have greater levels of CHP utilization, including Denmark, where more than 50 percent of the country's electricity is generated by CHP systems (ORNL, 2008).
As of 2011, the Midwest region has 11 GW of installed CHP capacity, out of 84 GW nationally. Whereas CHP amounted to 8 percent of national electricity generation capacity in 2009, the Midwest CHP share was slightly less than 5 percent.
Within the Midwest, 78 percent of CHP capacity is deployed in manufacturing facilities, with the balance of CHP installations located at commercial facilities, such as schools or hospitals. By comparison, at the national level, manufacturing facilities account for 62 percent of total installed CHP.
What is the potential for CHP?
The figure below shows the breakdown of total installed combined heat and power (CHP) capacity and remaining technical potential among the 12 states of the Midwest. Technical potential is estimated on the basis of electric and thermal energy consumption data for various building types and industrial facilities. CHP potential was estimated per application based on facility employee and square footage data and remaining technical potential was calculated by subtracting existing CHP installations. For more information, see Hedman, 2010.

The status and rate of CHP utilization varies widely across the Midwest. Michigan and Indiana have the highest level of installed CHP capacity, while Illinois and Ohio have the largest remaining potential. Though some states stand out for having exceptional remaining CHP potential compared to currently installed capacity, every state in the Midwest has opportunities to reduce electricity and fuel costs through increased CHP deployment.
On a national level, a recent report from Georgia Tech found that increased CHP utilization could play a central role in reviving the American manufacturing sector.
Why hasn't the technical potential for CHP been achieved in the Midwest?
While a few Midwestern states continue to pursue new policy and financing mechanisms to increase combined heat and power (CHP) utilization, barriers (described below) have contributed to the fact that regional uptake remains comparatively low (ORNL, 2008).
The American Council for an Energy Efficient Economy (ACEEE) recently published a state-level assessment of CHP utilization in the United States, including detailed discussions on specific barriers to CHP deployment. Recent studies by the National Academies of Sciences (2010) and the Oak Ridge National Lab (2008) provide useful overview discussions of barriers to CHP deployment. The 2008 Industrial Technologies Market Report issued by the National Renewable Energy Laboratory offers a concise summary of the present U.S. situation:
'Regulatory, policy, and institutional barriers persist, in spite of successes at the state and regional level, and recent federal legislation boosting tax credits for CHP. For example, electric rate structures linking utility revenues and returns to the number of kilowatt-hours sold act as a disincentive for utilities to encourage customer-owned onsite generation. In addition, CHP technology applications are impeded by interconnection issues, sundry technical barriers, and environmental permitting regulations that focus on heat input and do not recognize the higher overall efficiency improvements offered by CHP' (NREL, 2009).
Source: National Renewable Energy Lab (NREL), 2009 (2008 Industrial Technologies Market Report).
What are the policy options for increasing CHP utilization?
To increase the uptake of combined heat and power (CHP) technologies, policy options generally include financial incentives to positively promote investment and measures to remove market barriers to CHP deployment. Common options include the following:
- Energy Portfolio Standards (EPS) and Energy Efficiency Resource Standards (EERS) . An EPS is a regulatory policy that includes financial incentives. These standards are being used increasingly to support clean and renewable electricity in many U.S. states. EPS policies typically require that a certain percentage of electricity sold by a utility (e.g., MWh) is generated from renewable or other 'alternative' energy resources. Similar to an EPS policy, EERS policies require utilities to meet energy efficiency targets, reducing the amount of electricity or gas consumed by utility customers through the use of energy efficiency. An EPS or EERS policy can support CHP investments in cases where CHP qualifies as an eligible resource (Naik-Dhungel, 2009), thus making electricity or captured waste heat eligible for valuable credits, which utilities may use to comply with the law.
- Investment Tax Credit. One financial incentive to promote CHP utilization is the 10 percent federal Investment Tax Credit. Financial incentives reduce the payback period for capital intensive CHP installations, thus in this case, encouraging private sector investments.
- Output-based emissions standards. Selecting the appropriate new policies to reduce barriers to CHP may depend on the existing regulatory environment. For example, one approach to environmental regulation that supports CHP is output-based emissions standards (OBSs). Traditional 'input-based' regulations set emission limits based on the amount of fuel used (e.g., pounds of pollutant per million Btus), which can effectively discourage the use of certain energy efficiency technologies. Alternatively, output-based standards expressed as emissions per unit of useful energy output (e.g., pounds per MWh), which rewards generators that have the highest 'output' of product (e.g., MWh of electricity) and the lowest 'output' of pollutants, thus encouraging efficient fuel combustion technologies, including CHP. To be maximally effective, output-based regulations must include thermal and electric output of CHP processes.
- Grid access. Grid access can be a very important issue for facilities that seek to install a CHP unit on site (Chittum and Kaufman, 2011). Interconnection standards specify the technical requirements and procedural process by which utility customers connect electricity generation units to the grid. Historically, U.S. electric utilities have favored large-scale centralized power generation assets, with little incentive to facilitate a more distributed power generation model. For decades, the lack of standardized interconnection rules has inhibited investments in a range of distributed generation technologies (NREL, 2000).
The interconnection issue has received increased attention in the past decade, with many state utility commissions adopting standards with common technical guidelines and even standard contracts (last decade, model interconnection standards were established through Federal Energy Regulatory Commission orders 2003 and 2006). Though implementation and enforcement will vary, the broader adoption of common interconnection standards should improve the investment environment for distributed generation technologies by reducing added costs, delays, and uncertainties. Most Midwestern states have adopted interconnection standards within the past few years that are technically comparable, though they often only apply to investor-owned utilities (Chittum and Kaufman, 2011).
To see what policies your state has adopted to promote CHP, visit ACEEE, or the Database of State Incentives for Renewables & Efficiency (DSIRE).
Coal▼
How much coal is produced and consumed in the Midwest?
One hundred twenty four million short tons of coal were produced by six Midwest states in 2010 from a combination of surface and underground mines. This amounts to about 12 percent of total U.S. coal production. The primary producers are Illinois, Indiana, North Dakota, and Ohio (U.S. EIA, 2011). Kansas and Missouri accounted for only a small fraction of the region's production, and other states in the region had no coal production. Underground and surface mining methods are each used to obtain about half of the coal produced in the Midwest. Illinois and Ohio primarily use underground mining methods while North Dakota and Indiana primarily use surface mining (U.S. EIA, 2011).
In 2010 the Midwest consumed roughly 390 million short tons of coal. The vast majority of that coal is used to generate electricity (89 percent) and in industrial facilities (10 percent) (U.S. EIA). Coal contributed almost 70 percent to total electricity generation in the Midwest in 2010 (see charts at the bottom of the Almanac power generation map).
Over the past decade, the Midwest consumed more than three times more coal than it produced. The majority of the coal imports came from Wyoming (59 percent). West Virginia and Montana were also major sources of coal, with both states contributing 6.3 and 5.5 percent, respectively, to the Midwest's total coal receipts from outside the region (U.S. EIA).



Is Midwestern coal used locally? If not, where does it go?
In 2010, the Midwest produced 124 million short tons of coal. Three-quarters of that coal (74 percent) was consumed in Midwest states. Most of the exported coal was sent to southern states (30 million short tons). Among the Midwest coal destined for Midwest consumption, 84 percent is used to generate electricity. Other industrial facilities consume 15 percent of total Midwest coal, while commercial and coke plants consume very little of Midwest coal (EIA, 2011).


How much coal does a power plant burn in a year?
A 500 megawatt coal-fired plant running at 70 percent capacity will consume about 1.8 million short tons of coal each year in the Midwest. This equates to approximately 16,600 railcars of coal per year, or 45 railcars of coal each day.
*For purposes of these calculations, we assumed the plant is burning sub-bituminous coal and has a heat rate of 10,415 Btu per kWh (according to U.S. EIA this was the average heat rate for coal units in 2010). Also note that according to the Bureau of Transportation Statistics, a typical railcar holds 110 tons of coal.
How long can a coal plant run?
Coal plants do not have a clear lifespan. It was once thought that power plants would retire after 30 to 40 years of operation. However, for a variety of reasons, coal plant lives have been extended. The current average capacity-weighted age of a U.S. coal-fired power plant is almost 40 years (U.S. EIA-860). According to the U.S. EIA, over 50 percent of the U.S. electric generation capacity was more than 30 years old, as of 2010, and around 12 percent was more than 50 years of age.

What are the future projections for coal mining in the United States?
The Energy Information Agency (EIA) has projected future coal production for the United States out to 2035. Over the next 25 years, coal production in the United States is slated to increase roughly 25 percent (EIA, 2011).

What does it mean if there is a coal seam without an active mine? Will the coal be mined someday?
While there are potentially recoverable resources within every coal seam, several factors influence whether a particular seam gets developed or not. The type and thickness of the rock above and between coal beds, the coal thickness, the depth of the coal, the existence of natural aquifers and preexisting fault lines impact the feasibility of developing a particular seam. What federal, state and private land can be developed may also be limited based on environmental concerns, including protection of wildlife habitat, water supply and quality issues, air quality issues, and preexisting infrastructure (existing roads, towns, and power lines).
Source: USGS, 2001
Natural Gas▼
How much natural gas is consumed and produced in the Midwest?
According to Energy Information Agency (EIA) data from 2010, the 12 Midwest states consumed 5 trillion cubic feet (Tcf) of natural gas, which accounted for 21.1 percent of natural gas consumed in the United States. The largest users of natural gas were Illinois, Michigan, and Ohio, representing 49 percent of the region's total consumption. Natural gas contributed about 5 percent to total electricity generation in the Midwest in 2010 (see charts at the bottom of the Almanac power generation map; this use accounted for about 9 percent of the region's total natural gas consumption.
In 2010, the region produced 648,663 MMcf of natural gas, less than one-seventh of the total natural gas consumed in the Midwest. The largest producers were Kansas, Michigan, North Dakota, and Ohio (U.S. EIA, 2011). However, new natural gas drilling technologies (such as horizontal drilling and hydraulic fracturing) are leading to significant increases in U.S. production and could lead to increases in regional production.
The Midwest region traditionally received a large portion of its natural gas supply from the Southwest region (including Texas and Oklahoma) and Canada through an interstate pipeline network (see figure below). The Rockies Express Pipeline, completed in the fall of 2009, enables the Midwest region to receive natural gas from Colorado as well (Kinder Morgan).

Source: U.S. EIAThe majority of natural gas in the Midwest is consumed by residential and commercial users for heating and cooking, followed by industrial uses. Electricity generation represented 9 percent of the region's consumption. Natural gas vehicle fuel use represents the smallest consumptive use, with less than 1 percent of the total gas consumed in the 12 states (U.S. EIA Natural Gas Consumption, 2011)

Where does the natural gas produced in the Midwest go?
In 2010, 648,663 Mcf of natural gas was produced in Midwest states, representing 2.9 percent of the U.S. total (U.S. EIA, 2011). No reporting system is available for natural gas that tracks flows from producer to consumer, unlike for coal where data based on net receipts is publicly reported and provides clear information about flows from one state to another. While information is available on net pipeline flows, these flows often have more to do with movement of gas through a state than from producers or to consumers within the state. As illustrated in the map of the national pipeline network in the response to the previous question, gas generally flows from the major producing areas (Texas, Louisiana, Oklahoma, the Rockies, and western Canada) to the major population centers in the Midwest, along the Eastern Seaboard, and the West Coast.
Most of the Midwest natural gas production comes from Kansas, Michigan, North Dakota, and Ohio. Michigan and Ohio are the highest net consumers of natural gas, with consumption exceeding production by factors of approximately five and ten, respectively. The two net producers, Kansas and North Dakota, are situated along pipelines that generally flow to the core of the Midwest.
What is the difference between conventional and unconventional gas?
Natural gas is trapped underground under varying geologic circumstances. 'Conventional' natural gas is typically trapped beneath impermeable rock in more porous formations, such as sandstone, that are relatively easy to access and produce. 'Unconventional' gas is found in formations that are more difficult to produce, many of which were once thought to be uneconomic. These 'unconventional' sources of gas include:
- Tight gas: natural gas trapped in tight pores within a rock that has low porosity and permeability
- Coalbed methane: natural gas trapped in coals
- Shale gas: natural gas trapped in shales
What is hydraulic fracturing, or fracking?
Hydraulic fracturing, or fracking has been used since 1949 (Montgomery, 2010) to stimulate production from an oil or gas well. This technique is used in both shale gas and tight gas formations. Fracking fluids are injected underground at pressures that fracture the shale, allowing the gas to flow. In the early 2000s, developers began applying hydraulic fracturing together with horizontal drilling (first used in 1929, (Carr, 2001)). The combination of these two technologies has led to significant increases in recent and forecasted production of natural gas in the United States. For more information on hydraulic fracturing, see http://fracfocus.org/.
Is there shale gas production in the Midwest? Are these wells employing hydraulic fracturing, or fracking?
Shale gas plays underlie eight of the Midwestern states. These plays are contained in the Bakken shale in North Dakota, the Gammon shale in North Dakota and South Dakota; the Niobrara shale in Nebraska; the Excello-Mulkey shale in Kansas; the New Albany shale in Indiana; the Devonian, Marcellus, and Utica shale in Ohio; and the Antrim shale in Michigan. At this time, the primary form of capturing gas from these formations is through horizontal drilling and hydraulic fracturing (U.S. EIA, 2011). As of January 2012, the Bakken, the Niobrara, the New Albany, the Devonian, the Utica, and the Antrim are all being explored for commercial potential or in varying stages of commercial development in Midwestern states. Within the Niobrara, the Devonian, and the Utica, test wells have been drilled by several companies to evaluate geographic features and determine potential production levels. The Atrium shale has been developed since the 1930s with vertical drilling and lower-pressure hydraulic fracturing to obtain natural gas from the formation. However, companies and geologists are now exploring the potential of horizontal drilling and high-pressure hydraulic fracturing to increase production. The Bakken in North Dakota is producing gas and associated hydrocarbons through horizontal drilling and hydraulic fracturing (GWPC, 2009).

How much natural gas will be consumed in the Midwest in the future?
In their Annual Energy Outlook 2011 (AEO, 2011), the U.S. Energy Information Administration (EIA) projects that natural gas consumption will rise roughly 20 percent above 2008 levels by 2016 in the Midwest. Nationwide gas consumption is expected to only rise by 8 percent over the same time period.
In recent years, natural gas production in the United States has been spurred by an increase in shale gas drilling. In 2009, 13 percent of natural gas produced in the United States came from shale formations, growing by an average of 48 percent each year between 2006 and 2010. U.S. shale gas production is expected to see a threefold increase by 2035 according to the AEO 2011 reference case. The Midwest currently holds about 4 percent of total shale gas reserves in the United States (U.S. EIA). There is considerable uncertainty surrounding the amount of shale gas that could be potentially recovered, which in turn affects the quantity of natural gas estimated to be available for consumption. As shown below, the potential range of natural gas consumption in the Midwest in 2035 differs by 700 billion cubic feet between the highest and lowest estimates by the EIA (U.S. EIA).

Why do estimates of natural gas reserves change over time?
The U.S. Energy Information Administration (EIA) produces estimates of the recoverable natural gas resources that can be extracted from a given formation or region. The amount of this roughly projected recovery depends on a variety of factors, including but not limited to geological features of the source formation, current available technology, and the costs of extraction and final products. Estimates are likely to change when new information about these factors becomes available, such as additional detail about the specific geologic formations, often through increased exploration or development of different locations; new technological advancements to reach previously unattainable resources; or a change in technology that impacts the cost of extraction. It is not uncommon to see frequent readjustments for relatively new regions as more physical data becomes available.
The following are examples of recent causes for readjusted estimates:
- Increased technology. Large amounts of natural gas from shale sources have been introduced in the last decade due to advances in horizontal drilling and hydraulic fracking.
- Increased data. Michigan's remaining shale reserve estimates have decreased slightly in recent years in response to decreased production from wells in the Antrim formation.
Solar▼
Is solar energy viable in the Midwest?
The entire Midwest can generate electricity from photovoltaics (PV), and portions of Kansas, Nebraska, South Dakota, and North Dakota have sufficient solar resources for concentrating solar power (CSP). Electricity can be produced from PV panels at any solar intensity and through concentrated solar power (CSP) at resource levels greater than 5 kWh/m2/day. These geographic boundaries are shown in greater detail in the map titled Concentrating Solar Power Resource Potential.
The higher the solar resource level, the cheaper it is to produce electricity from PV or CSP. The Midwest does not have the highest solar resources in the United States. However, regions with comparable resources are moving ahead. According to NREL data, the Northeast has 17 percent (439 MW) of the total installed solar capacity in the United States (as of September 2011), while the Midwest has 2.0 percent (52.6MW) of total U.S. solar capacity.
Other countries throughout the world with either similar or lower solar resources (see figure below) have outpaced both the Midwest and the United States (2,660 MW). Germany, with solar resources similar to Alaska, has just over 17,000 MW of installed solar capacity. Spain, Italy, and Japan have between 3,500 and 4,300 MW installed.
Solar heating also has potential in the Midwest. Solar thermal technologies use sunlight to provide heat for domestic hot water, space heating, industrial process heat, and heating swimming pools (Minnesota Department of Commerce).

Source: NREL
How much does solar energy cost?
Photovoltaic (PV) costs in the Midwest tend to be higher than alternative sources of electricity. In 2010 the average cost of PV was around $6 per watt (for state-specific average costs see this LBNL study). This price is higher than wind- or fossil-based generation. However, it is worth noting that costs have dropped by almost 40 percent over the past decade (LBNL), and some have projected these cost reductions to continue. The average cost for a concentrated solar power (CSP) plant is lower. With federal incentives, and without storage, CSP is more than $4 per watt in the United States. As with PV, design improvements are expected to reduce this cost in the future (NREL).

What areas are suitable for solar deployment?
Concentrated solar arrays are typically large-scale projects that require about 10 square kilometers of flat land and access to water resources to cool the plant. These types of projects are typically not suitable for urban areas.
Photovoltaic (PV) panels can be installed in large arrays in fields or distributed in the built environment, such as on homes and businesses. The optimum location for PV installation is on a south-facing, shade-free roof. Panels can be installed on roofs that face southeast or southwest, but performance will be around 5 percent less. Eastern, western, and northern exposures are not recommended for solar PV systems. NREL's PVWatts and In My Backyard (IMBY) tool allows users to calculate the potential energy production and cost savings of grid-connected PV energy systems.
Are there state or federal policies to promote solar energy?
Two of the bigger policies that promote the development of solar-powered electricity generation are Renewable Portfolio Standards and net metering:
- Renewable Portfolio Standards (RPS). Renewable Portfolio Standards require utilities to use renewable energy or renewable energy credits (RECs) to account for a certain portion of their retail electricity sales or generating capacity according to a specific schedule. Sometimes these programs require that a percentage of the overall renewable requirement be met by specific technologies, such as solar. In the absence of such a solar 'carve out,' solar photovoltaics (PV) may not compete against wind power, which tends to cost less per unit of energy produced.
- Net metering. Solar energy, and thus electric production from PV, is strongest during the day when demand is at its highest. However, there may be a temporal mismatch between PV generation and electricity demand where the system is installed. For example, solar panels installed on a home will generate most of their electricity when a family is at work and the family's demand is low. Some states have net metering policies, which allow the excess electricity to be sold back to the grid when it isn't needed on-site. This allows the owner of the installed PV panels to fully capture their benefits.
DSIRE (Database of State Incentives for Renewables & Efficiency) has produced a comprehensive table listing all policies and incentives by state.
Wind▼
How much wind potential is there in the Midwest?
Based on analysis by the National Renewable Energy Laboratory (NREL), the Midwest could supply enough electricity to meet current demand in the region by covering less than 5 percent (55,000 km2) of available land with wind turbines. Such widespread installation may not be practical, and at this time there are other limits on how much electricity can be supplied by wind. Unlike fossil resources, wind is intermittent, and peak generation does not match peak demand. In addition, wind resources are also often far from electricity demand and require expansion of existing transmission infrastructure. NREL estimates that the Eastern Interconnection (covering most of the Midwest) could supply between 20 and 30 percent of projected electricity demand from wind resources by 2024 with upgrades and investment in transmission infrastructure. This is a substantial increase over the 3.4 percent provided in 2010. Wind could supply an even greater percentage of the region's electricity (and/or reduce the necessary transmission expansion) if there are significant advances in electric storage efficiency, or there is more widespread adoption of smart grid technologies that allow residents and businesses to adjust their consumption based on real-time electric production and pricing.
What are the future projections for wind energy in the Midwest?
The Midwest produced 33,000 GW-hours of electricity from about 14,000 MW of installed wind capacity in 2010. This was just over one-third of the total wind-powered electricity generated in the United States. However, it amounts to just 3.4 percent of the fuel mix for electricity generation in the Midwest. Moving forward it is expected that regional wind generation will increase in response to state Renewable Portfolio Standards (RPS). According to a study by the Midwest ISO, RPSes in the Midwest will lead to the production of just under 100,000 GW-hours of wind energy by 2027, a threefold increase from current levels. Additional wind generation is projected to come online as a result of the Kansas RPS (20 percent of peak demand capacity from renewable sources by 2020), which was not included in the study.
Are there state or federal policies that promote wind energy?
One of the primary state-level policy drivers of wind development has been Renewable Portfolio Standards (RPS), which aim to increase the amount of renewable energy is delivered in a state. An RPS is most often imposed as requirement on utilities that must either procure renewable energy or buy renewable energy credits/certificates (RECs) to account for a certain portion of their retail electricity sales or generating capacity.
Two of the major drivers of renewable development at the federal level are the Production Tax Credit (PTC) and the Investment Tax Credit (ITC).
The PTC is a per-kilowatt-hour tax credit for electricity generated by qualified energy resources, which includes wind. Originally enacted in 1992, the PTC has been renewed and expanded numerous times. Wind projects in service by December 31, 2012 receive 2.2¢ per kWh (2011$; note the payment is indexed to inflation).The PTC for wind projects is set to expire after this deadline, while the PTC for all other eligible projects is set to expire at the end of 2013. Without this incentive, the United States could see a dramatic decline in annual wind capacity installation. This result was seen before in 2000, 2002, and 2004 when the federal PTC was allowed to expire (see figure below). At that time, annual installation of wind capacity decreased between 73 percent and 93 percent.
The ITC is available for the installation of a variety of renewable technologies, including small wind turbines. This includes projects 100 kW or less, which are often installed at individual homes, farms, and small businesses. The credit is equal to 30 percent of expenditures and is set to expire at the end of 2016. There is no maximum credit for wind turbines. Under the American Recovery and Reinvestment Act of 2009 wind energy systems of all sizes qualify for the ITC through the December 31, 2012 PTC deadline.
However, a number of other state and federal policies and financial incentives promote the development of wind-powered electricity generation. DSIRE (Database of State Incentives for Renewables & Efficiency) has produced a comprehensive table listing all policies and incentives by state.

Which locations are suitable for wind turbines?
Generally, areas designated with a wind resource of class 3 or greater are suitable for most utility-scale wind turbine applications, whereas class 2 areas are marginal for utility-scale applications but may be suitable for small wind turbine systems (100 kW capacity). Class 1 areas are generally not suitable, although a few locations (e.g., exposed hilltops) with adequate wind resource for wind turbine systems may exist in some class 1 areas. Wind class maps are only an estimate, however, and the suitability of any particular area requires an on-site wind assessment. Other factors that contribute to a site's feasibility for development of wind power include existing zoning codes, underlying geology, the location of local air traffic flight paths, and proximity to existing transmission lines.
What is the current status of wind turbine manufacturing in the Midwest, or my state?
Midwest
According to the American Wind Energy Association (AWEA), the Midwest is home to at least 188 companies contributing to the wind energy industry. These facilities include major wind technology manufacturers, as well as smaller companies that supply the industry with components necessary for wind turbine development.
Illinois
Three major wind industry manufacturers have invested in Illinois, including Trinity Structural Towers (a tower manufacturer) and Winergy (a gearbox manufacturer). At least 28 facilities in Illinois manufacture components for the wind energy industry as of mid-2011 (AWEA).
Indiana
Brevini (gearbox manufacturer) is constructing its first U.S.-based facility and investing more than $60 million in Muncie, Indiana. At least 14 other facilities located in Indiana currently manufacture components for the wind energy industry, with 4 new facilities announced as of mid-2011 (AWEA).
Iowa
Approximately $300 million has been invested at major wind energy industry manufacturing facilities in Iowa, including two turbine manufacturers, two major blade manufacturers, and a tower manufacturer. At least nine other manufacturers in Iowa are suppliers to the wind industry as of mid-2011 (AWEA).
Kansas
Michigan
In 2008, Global Wind Systems announced its intention to build a new $30 million turbine manufacturing facility in Novi, Michigan. In 2010, URV USA announced plans to open the first wind-dedicated foundry in the United States. At least 31 other facilities in Michigan are suppliers to the wind energy industry, with 6 additional facilities announced as of mid-2011 (AWEA).
Minnesota
Two major wind energy industry manufacturing facilities are located in Minnesota, including SMI & Hydraulics (a tower manufacturer), and Wind Turbine Industrial (a small wind turbine manufacturer). A third, Moventas (a gearbox manufacturer), also announced plans to open a facility in the state. At least 16 other facilities manufacture components for the wind energy industry as of mid-2011 (AWEA).
Missouri
At least seven facilities located in Missouri manufacture components for the wind energy industry, with two new facilities announced as of mid-2011 (AWEA).
Nebraska
Katina Summit, a major wind turbine tower manufacturer, opened a facility in Columbus, Nebraska in 2008 (AWEA).
North Dakota
Two major manufacturers for the wind energy industry are located in North Dakota, including LM Glasfiber (a blade manufacturer) and DMI Industries (a tower manufacturer) (AWEA).
Ohio
At least 50 companies are located in Ohio that manufacture components for the wind energy industry as of mid-2011 (AWEA).
South Dakota
Molded Fiber Glass (blade manufacturing) has opened a $40 million manufacturing facility in Aberdeen, South Dakota (AWEA).
Wisconsin
At least 22 facilities located in Wisconsin are suppliers to the wind energy industry, with 2 new facilities announced as of mid-2011 (AWEA).

Are electric grid transmission constraints limiting wind development in the region?
It is expected that regional wind generation will increase threefold from current levels by 2027 in response to state Renewable Portfolio Standards (RPS), adding at least 81,000 GWh of wind generation to the transmission grid. This is equivalent to around 28,000 MW of new capacity. However, a 2010 study of the Midwest Independent Transmission System Operator (MISO) transmission network determined that the network is constrained and additional transmission infrastructure is needed to meet current and near-term renewable energy requirements, ensure reliable operation of the transmission grid, and relieve current and projected areas of congestion. New transmission infrastructure will also help facilitate the interconnection queue process, which enables MISO to determine the necessary upgrades required to connect each proposed generation project to the transmission system. As of January 2012, the MISO interconnection queue had more than 40,000 MW of wind power capacity waiting for transmission access. As a result of its 2010 study, MISO identified three potential transmission expansion scenarios that meet current renewable energy mandates and the regional reliability needs.
Carbon Dioxide (CO2)▼
Why should I care about CO2 emissions?
CO2 is the predominant greenhouse gas (GHG) contributing to global climate change. Physicists have known for more than a century that greenhouse gases including CO2, have heat-trapping properties that affect the temperature of the Earth's atmosphere. An increase in GHG concentration in the atmosphere leads to atmospheric and surface warming globally (NASA, 2011).
The United States accounts for nearly one-fifth of worldwide greenhouse gas emissions (based on the global warming potential of the emissions) (CAIT). In the United States, CO2 accounts for 83 percent of U.S. GHG emissions by global warming potential (U.S. EPA, 2011). By 2005, the CO2concentration in the atmosphere had increased by 39 percent compared with pre-industrial revolution levels (rising from 280 to 390 parts per million, from preindustrial to modern times), and the average annual growth rate of CO2 concentrations has more than doubled since direct measurements began, in 1958 (NOAA, 2011).

This figure shows that rising concentrations of carbon dioxide in the atmosphere has grown steadily in concert with fossil fuel burning during the past two centuries (National Academy of Sciences).
The United States, like the rest of the world, is already experiencing the impacts of climate change. According to the National Academy of Sciences (NRC, 2011) and the Intergovernmental Panel on Climate Change, these include: more severe and more frequent heat waves, more intense precipitation events and severe droughts. Associated with these climatic shifts, we are seeing more severe flooding, crop failures, wildfires, and energy systems more prone to interruption (e.g., abundant water supplies are necessary for many forms of electricity generation). Sea level rise is already underway, which exacerbates the impacts of extreme weather events to coastal properties and infrastructure, as the intensity of storms is increasing (NRC, 2011). The U.S. Global Change Research Program provides more detail on region-specific climate change impacts on the Midwest and Great Plains.


Decades of air temperature measurements at locations around the globe tell the story of a warming world during the period from 1880 to 2011. This figure shows that scientists at NASA have estimated that air temperatures at the Earth's surface have risen by nearly 1 degree Celsius, since instrumental record keeping began more than a century ago.

This figure shows atmospheric concentrations of carbon dioxide over the last 10,000 years (large panel) and since 1750 (inset panel). Measurements are shown from ice cores (symbols with different colors for different studies) and atmospheric samples (red lines). The corresponding global warming effects, measured in terms of radiative forcings, are shown on the right axis of the large panel (IPCC). A positive forcing indicates warming while a negative forcing indicates cooling (MIT).
Where do CO2 emissions come from?
Carbon dioxide (CO2) is emitted from the burning of fossil fuels (oil, gas, and coal) and waste, industrial processes, and deforestation (U.S. EPA, 2011). The largest source of manmade CO2 emissions is fossil fuel combustion through power plants, automobiles, industrial facilities and other sources. The figure below displays U.S. emissions by source for 2009 (U.S. EPA, 2011). The CO2 section of the Almanac contains similar information on CO2emission sources for the Midwest.

How can CO2 emissions be reduced from the power sector?
CO2 emissions from the power sector can be reduced through four main methods: employing demand-side energy efficiency and conservation practices; improving the efficiency of electric generation; using low-carbon or carbon-free energy resources; and the capture and storage of CO2 from the combustion of fossil fuels or directly from the atmosphere.
As a general matter, using less electricity through increased efficiency and conservation reduces the amount of time that power plants need to run and thus the amount of fossil fuel that is combusted. This can be done by using more efficient appliances and equipment.
Opportunities also exist to improve the efficiency of power generation itself, allowing plants to produce the same amount of electricity while consuming fewer fossil fuels and thus emitting less CO2.
Carbon dioxide emissions can also be reduced by employing lower-carbon and carbon-free energy resources in the production of electricity. For example, natural gas combustion emits roughly half of the CO2 as coal combustion, and residual oil emits roughly 20 percent less CO2 than coal (note that relative lifecycle emissions will differ). Biomass can be low carbon or even carbon-free on a lifecycle basis depending on the type used, the harvesting practices used, and the processes employed to covert feedstock to fuel. Switching from a higher-carbon fuel, such as coal or oil, to natural gas or biomass can reduce GHG emissions. Energy sources that generate carbon-free electricity include solar power, wind power, geothermal energy, hydropower, and nuclear power.
Finally, it is possible to capture the carbon dioxide generated from combustion at a power plant or other industrial facility and store it underground so that it cannot escape to the atmosphere. This process is commonly referred to as carbon dioxide capture and storage (CCS). See 'What is CCS?' below, for more information.
Are there state or federal policies to reduce CO2 emissions from power plants?
In 2007, the U.S. Supreme Court ruled that CO2 is an 'air pollutant' under the Clean Air Act (CAA) and found that EPA has the authority to regulate CO2 emissions. Following issuance of an endangerment finding in December 2009, EPA began to regulate CO2 emissions starting with standards for vehicles. These regulations were finalized in May 2010. Since that time, EPA has begun to move ahead with regulations for the power sector, as summarized below.
- Preconstruction permits- New power plants and substantially modified existing power plants that are large emitters of carbon dioxide must obtain preconstruction permits that meet Best Available Control Technology (BACT) requirements. New source preconstruction permitting is governed by Title I, Parts C & D of the Clean Air Act , 42 U.S.C. Sections 7470-7490 and 7501-7505 and the regulations at 40 CFR Sections 51.165 and 51.166. EPA's 'Tailoring Rule' limits applicability to new facilities that emit at least 100,000 tons of GHGs per year and to modified sources that increase their GHG emissions by at least 75,000 tons per year.
- Performance standards- On December 23, 2010, EPA entered into a settlement agreement to issue rules to address greenhouse gas emissions from fossil fuel-fired power plants. The agreement called for EPA to propose performance standards for new and modified units under Section 111(b) of the Clean Air Act, and mandatory guidelines for existing units under Section 111(d) of the Clean Air Act. The agreement calls for EPA to finalize standards for the power sector by May 26, 2012.
On March 27, 2012, EPA proposed performance standards for carbon dioxide emissions from new units. The proposed standards establish an output-based standard of 1,000 pounds of CO2 per megawatt-hour generated. Click here for a summary of the proposal, and click here for additional information related to the new power plant standards.
EPA has not yet proposed standards for carbon dioxide emissions from existing power plants. For an analysis of the level of reductions that could be achieved through GHG performance standards for new and existing power plants see, 'Reducing Greenhouse Gas Emissions in the United States Using Existing Federal Authorities and State Action.'
What is carbon dioxide capture and storage (CCS)? Is it viable?
Carbon dioxide capture and storage (CCS) is a broad term that encompasses the process of capturing CO2 from point sources (such as power plants and other industrial facilities); compressing it; transporting it mainly by pipeline to suitable locations; and injecting it into the deep subsurface geological formations for indefinite isolation from the atmosphere (WRI CCS Guidelines).
Although underground injection of CO2 for enhanced oil recovery (EOR) and enhanced gas recovery (EGR) is a long-standing practice, CO2 injection specifically for geologic storage involves potentially much larger volumes of CO2 and larger scale projects than in the past. Long-term storage also presents unique technical issues, such as monitoring requirements and post-closure stewardship (U.S. EPA and WRI CCS Guidelines).
CO2 is captured at oil and gas processing facilities and chemical production facilities as part of standard operating procedures. The captured CO2 is typically generated from chemical processes at the plant and must be captured to complete the process. Capturing CO2 from combustion is currently used at several power plants to coproduce food-grade CO2 (National Energy Technology Laboratory).
CO2 storage can take place in oil and gas reservoirs, saline formations, coal seams, basalts, and organic shale basins. However, storage sites must have the necessary characteristics to promote secure storage including a functional confining zone as well as the necessary injectivity and capacity (National Energy Technology Laboratory and WRI CCS Guidelines).
Although the components of CCS have been used by industry since the 1970s and there are examples of industrial large-scale integrated CCS projects in operation, the current cost, emerging status of the technology, and lack of climate policies that require reductions at the level where CCS would be necessary are barriers to its broader deployment. The cost of any one CCS project is highly dependent on the specific technologies chosen for capture and transport as well as the site-specific details of the local geology. In general, according to a 2011 report by the International Energy Agency titled 'Cost and Performance of Carbon Dioxide Capture from Power Generation,' the projected average cost of CO2 avoided is USD 58/ton of CO2 with a pulverized coal plant as the basis, $80 USD/ton of CO2 with a natural gas combined cycle power plant, and $43 USD/ton of CO2 with an coal-fired integrated gasification combined cycle power plant.
Are there limitations to where CCS can be deployed (e.g., seismic activity)?
Not all geologic formations have the criteria needed for geologic storage, and determining whether or not a site is suitable for carbon dioxide capture and storage (CCS) requires collecting site-specific geological information. Suitable target formations must have sufficient porosity and permeability to allow injection of the captured CO2 at the planned volumes as well as an overlying caprock that prevents the movement of CO2 outside the storage reservoir. Other factors such as existing land use, population, and seismicity also affect decisions regarding potential projects. For example, a CCS project might move forward in an area that is seismically active, but only if the risks are thoroughly assessed prior to the project and paired with appropriate measurement, monitoring, and verification tools. For a full description of the criteria necessary for CCS, see Guidelines for Carbon Dioxide Capture, Transport and Storage.
Are there state or federal policies that affect CCS?
EPA has finalized requirements for CO2 injection and geologic storage under the authority of the Safe Drinking Water Act's Underground Injection Control Program. See 40 CFR Parts 124, 144, 145, 146, and 147 (Final Rule, January 2010): Federal Requirements Under the Underground Injection Control (UIC) Program for Carbon Dioxide (CO2) Geologic Sequestration (GS) Wells. The UIC program regulations are designed to protect underground sources of drinking water and establish a new well class (Class VI) for the specific purpose of carbon dioxide capture and storage (CCS). The regulations include requirements to ensure that wells used for geologic sequestration are appropriately sited, constructed, tested, monitored, funded, and closed.
EPA has also finalized reporting requirements for reporting greenhouse gas emissions from CO2 storage under the authority of the Clean Air Act's Greenhouse Gas Reporting Program. See 40 CFR Part 98.440 (Final Rule, December 2010 with Proposed Technical Corrections August 2011): Mandatory Greenhouse Gas Reporting rule, Subparts RR-Geologic Sequestration of Carbon Dioxide and UU-Injection of Carbon Dioxide
The Mandatory Greenhouse Gas Reporting Rule includes provisions that outline how emissions from geologic storage and CO2 injection will be reported.
EPA has proposed an exemption for CCS-related CO2 streams under the existing hazardous waste rules. 'EPA concluded that the management of CO2 streams under the proposed conditions does not present a substantial risk to human health or the environment, and will encourage the deployment of carbon capture and storage (CCS) technologies' (U.S. EPA).
Midwest
A number of states in the Midwest have enacted laws that address many aspects of carbon dioxide capture and storage (CCS) (CCSReg, UCL Carbon Capture Legal Programme, and the Midwestern Governor's Association Regulatory Matrix).
Illinois
Illinois has established state laws on the following aspects of CCS:
- Portfolio standard and mandate;
- Accounting and reporting; and
- Project-specific liability and property-rights
Clean Coal FutureGen for Illinois Act (enacted in 2007)*: For the FutureGen project, the state assumes long-term liability associated with CO2 storage as well as any benefits or credits associated with storage. The bill also exempts the project from state tax.
SB 1592 Illinois Power Agency Act (enacted in 2007): Mandates electric utilities to charge a monthly fee creating a Renewable Energy Resources Trust Fund. A portion of this fund can be used for CCS. The bill authorizes the Illinois Power Agency to issue bonds for the construction of facilities that use Illinois coal with preference for projects that enable CCS and are in locations where the geology supports secure CO2storage.
SB 1987 Clean Coal Portfolio Standard Law (enacted in 2009): Mandates that future electricity used in the state include 25 percent from coal plants that employ CCS. The bill further stipulates that these facilities should capture at least 50 percent of the CO2, and 90 percent after 2017. Enhanced oil recovery (EOR) is included as a viable option for storage. The bill also requires accounting and reporting of CO2 captured, stored, and emitted.
HB 3854 Carbon Capture and Sequestration Legislation Commission Act (enacted in 2009, repealed 2011): Establishes a carbon sequestration legislation commission tasked with reporting to the general assembly by December 2010 on CCS legislation needs. The report was not produced, and the act was repealed January 2011.
SB 1533 Illinois Power Agency Act Amendment (enacted in 2011): Amends the Illinois Power Agency Act (SB 1987) to allow for inclusion of clean coal brownfield synthetic natural gas (SNG) projects, provided they use 50 percent coal as a feedstock and captures and stores at least 85 percent of the emissions that would otherwise be emitted.
*This bill was written based on the original configuration of the U.S. Department of Energy (DOE) FutureGen project and refers to building a first-of-a-kind research facility.
Iowa
Iowa does not have state-level laws pertaining to CCS.
Michigan
Although the Michigan legislature considered several bills impacting CCS in 2009, none have been enacted.
Minnesota
Minnesota has established state laws on the following aspect of CCS:
- Study of geologic storage capacity
SF 2096 (enacted in 2007): Omnibus environment, natural resources, energy and commerce appropriations. Appropriated $90,000 for the study of geologic CO2 storage capacity in Minnesota. The report was completed and is available online.
Missouri
Although the Missouri legislature considered a bill on CCS liability in 2010, none have been enacted.
North Dakota
North Dakota has established state laws on the following aspects of CCS:
- CO2 pipelines;
- Liability;
- Permitting;
- Accounting; and
- Tax incentives
NDCC 49-19-01 et. seq. (enacted in 2011): Common Pipeline Carrier: Establishes CO2 pipelines as common carriers, establishes eminent domain for CO2 pipelines, and regulates operation of CO2 pipelines.
SB 2034 (enacted in 2009): An Act to amend and reenact subsection 5 of Section 57-51.1-03 of the North Dakota Century Code, relating to exemption from oil extraction tax on tertiary recovery projects that use carbon dioxide: Exempts enhanced oil recovery (EOR) projects that use CO2 from the oil extraction tax, provided projects are certified as a qualified project.
SB 2095 (enacted in 2009): An Act to create and enact chapters 38-20 of the North Dakota Century Code, relating to the geologic storage of carbon dioxide; to repeal Section 38-08-24 of the North Dakota Century Code, relating to priorities in permitting carbon dioxide geologic storage projects; to provide a penalty; and to provide a continuing appropriation: This act calls for drafting of a state-level regulatory framework for CCS, including provisions for greenhouse gas accounting. It establishes eminent domain and unitization for CCS. The act also clarifies that the operator maintains liability for 10 years, establishes criteria for 'a certificate of completion,' and enables the transfer of long-term liability to the state. The act creates a CO2 trust fund to fund long-term management and monitoring.
SB 2139 (enacted in 2009): An Act to create and enact a new chapter to Title 47 of the North Dakota Century Code, relating to ownership of subsurface pore space; to provide for application; and to declare an emergency: Establishes that the owner of the surface property is also the owner of the subsurface pore space needed for CCS.
SB 2221 (enacted in 2009): An Act to create and enact a new subsection to Section 57-60-01 and Section 57-60-02.1 of the North Dakota Century Code, relating to a credit against privilege taxes on coal conversion facilities for carbon dioxide capture; to amend and reenact Section 57-60-03 of the North Dakota Century Code, relating to measurement and recording of carbon dioxide capture; and to provide an effective date: Establishes methodology for determining the percentage of CO2 captured from facilities, establishes a tax credit for CO2 capture and associated reporting requirements.
Ohio
Ohio does not have state-level laws pertaining to CCS.
South Dakota
South Dakota has established state laws on the following aspect of CCS:
- CO2 pipelines
HB 1129 (enacted in 2009): An Act to ensure the integrity of pipelines to be used for the transportation of carbon dioxide for the purpose of enhanced oil recovery or geologic carbon sequestration: Establishes regulatory oversight for CO2 pipelines by the Public Utilities Commission, defining CO2 as consisting of more than 90 percent CO2 and compressed to a supercritical state.
SB 60 (enacted in 2010): An Act to revise certain provisions regarding the siting of energy facilities by the Public Utilities Commission. Amends the language to include CO2 pipelines under regulations for transmission facilities.
Wisconsin
Wisconsin does not have state-level laws pertaining to CCS, although a September 2010 report outlines the potential for applying CCS to Wisconsin's coal fired power plants.
Who owns the CO2 that is injected?
Landowners, industry, and governments are interested in who owns the injected CO2 and receives any monetary benefit that comes with the ownership. In the United States, ownership of subsurface property differs from one state to the next. In general, surface owners also own the right to the geological pore space unless they have explicitly included carbon dioxide capture and storage (CCS) pore space in the lease or sale of any subsurface mineral rights or a state law declares CCS pore space a public good. Many states are taking legislative action to clarify pore space ownership rights for CCS (WRI, 2008). For example in the Midwest, North Dakota passed SB2139 in 2009, clarifying that the surface property owner does indeed also own the pore space needed for CCS.
The CO2 itself (as well as any credits associated with it) is owned by the entity that injects it, unless ownership has been legally transferred to the subsurface property owner or to another entity.
Mercury (Hg)▼
Why should I care about mercury emissions?
Exposure to mercury can cause harm to the nervous system, brain, heart, kidneys, lungs, and immune system. Mercury is a naturally occurring element that exists in several forms throughout the environment, including coal. When coal is burned, mercury is released into the atmosphere and eventually gets deposited on land or into water. Aquatic microorganisms convert mercury found in water systems to methylmercury, its most common organic compound. This pollutant then bioaccumulates, or builds up, in fish and shellfish and the humans and other animals that consume them. Young children and unborn babies are most sensitive to high levels of methlymercury, as damage to their developing nervous systems can lead to severe disabilities.
Source: U.S. EPA
Where do mercury emissions come from, and how can they be reduced?
The largest source of man-made mercury emissions is coal-fired power plants (50 percent). Industrial boilers, combustion of hazardous waste, and steelmaking furnaces also emit large quantities of mercury. Mercury emissions and other hazardous air pollutants (HAP) can be largely prevented through the use of existing control technologies. These include the following:
- Precombustion controls, such as fuel switching, coal switching, and coal cleaning;
- Combustion modification methods used to control NOx emissions;
- Flue gas cleaning technologies that can be used to control emissions of criteria pollutants and HAP; and
- Nontraditional controls, including demand-side management and energy conservation.
Source: U.S. EPA
Are there state or federal policies to reduce mercury emissions from power plants?
EPA lists mercury as a Hazardous Air Pollutant (HAP) under Section 112 of the federal Clean Air Act, 42 U.S.C. Section 7412. In December 2011, EPA finalized a rule that establishes emissions standards for power plants. EPA estimates that the rule will prevent 90 percent of the mercury in coal burned in power plants from being emitted to the air.
All standards established pursuant to CAA Section 112(d)(2) must reflect Maximum Achievable Control Technology (MACT), the maximum degree of reduction in emissions of air. For existing sources, MACT cannot be less stringent than the average emission limitation achieved by the best performing 12 percent of existing sources (for which the Administrator has emissions information) for categories and subcategories with 30 or more sources or the best performing 5 sources for subcategories with less than 30 sources. This requirement determines the MACT floor for existing electric generating units. EPA may not consider costs or other impacts in determining the MACT floor. EPA must consider cost, non-air quality health and environmental impacts, and energy requirements in connection with any standards that are more stringent than the MACT floor (beyond-the-floor controls) (Source: U.S. EPA).
Midwest
EPA's recently finalized mercury standards will establish minimum levels of control in all states. A number of states in the Midwest previously enacted regulations to reduce mercury emissions, including Illinois, Michigan, Minnesota, and Wisconsin. The state standards will remain in effect, but will only control in cases where they are more stringent than the federal standards. Information on those standards can be found here.
What are the projections for future mercury emissions?
In 1999, EPA estimated that existing pollution controls that limit emissions of particulate matter, SO2, and NOx at power plants prevented about 33 percent of the mercury burned in coal from being emitted into the atmosphere. Since 1999, mercury emissions have decreased by 41 percent in the United States and 37 percent in the Midwest due to the increased installation of these pollution controls. Additional reductions of mercury emissions are expected to result from EPA's Mercury and Air Toxics Standards (MATS), which was signed in December 2011. The rule will immediately affect new fossil-fuel generators, and will begin to affect existing fossil-fuel generators in December 2014. When fully implemented, the rule will prevent 90 percent of the mercury burned in coal from being emitted into the atmosphere.
Nitrogen Oxides (NOx)▼
Why should I care about NOx emissions?
The primary public health and environmental impacts from nitrogen oxides (NOx) are caused by their reaction in the atmosphere to form ground-level ozone, fine particulate matter, and acid rain. Exposure to nitrogen dioxide (NO2, one of the nitrogen oxides) can irritate the human respiratory system and exacerbate asthmatic symptoms.
NOx forms ground-level ozone by reacting with volatile organic compounds (VOCs) in the presence of sunlight. Exposure to ground-level ozone can lead to a variety of health impacts, such as inflammation of the lining of the lungs and reduced lung functioning. Permanent scaring of lung tissue may occur from repeated exposure.
Atmospheric NOx can react with other compounds in the atmosphere to form fine particles that can cause a variety of health effects, including reduced lung function, aggravated asthma, difficulty breathing, irregular heartbeat, nonfatal heart attacks, and death in people with heart or lung disease (U.S. EPA). Fine particles also lead to regional haze.
NOx also contributes to the formation of acid rain. Once in the atmosphere, NOx can travel downwind from where it was emitted and fall to the ground as acid rain. Once on the ground, acid rain mixes with soil and other water sources, affecting plants and animals that come in contact with it.
EPA has set National Ambient Air Quality Standards (NAAQS) for nitrogen dioxide, ground-level ozone, and fine particulate matter. As required by the Clean Air Act, the NAAQS are set at levels EPA believes to be protective of human health and the environment with an adequate margin of safety. At this time no area in the United States is considered to be in nonattainment with the NAAQS for NO2. Click here to see whether your area has been designated as non-attainment for ozone, and here to see whether your area has been designated as nonattainment for particulate matter.
Source: U.S. EPA.
Where do NOx emissions come from, and how can they be reduced?
According to the EPA, the power sector is the third-largest contributor of nitrogen oxides emissions, after on-road vehicles and nonroad equipment (such as construction equipment, marine vessels, and lawn and garden equipment). Industrial boilers and manufacturing processes also emit NOx.
NOx can form during combustion through the oxidation of nitrogen chemically bound to the fuel, and through the reaction of atmospheric nitrogen (N2) with excess oxygen (O2). For coal-fired power plants, oxidation of chemically bound nitrogen typically accounts for the majority of NOx that is formed. In contrast, fuel nitrogen is not a significant contributor to NOx emissions in natural gas-fired power plants (NETL).
There are several strategies for reducing nitrogen oxides emissions from power plants, including the following:
- Precombustion controls, such as fuel switching;
- Modified combustion, using technologies such as low-NOx burners;
- End-of-stack control technologies, such as selective catalytic reduction; and
- Demand-side management and other energy conservation measures.
Source: U.S. EPA.
Are there state or federal policies to reduce NOx emissions from power plants?
EPA has implemented numerous regulatory programs for the control of nitrogen oxides emissions.
State Implementation Plans (SIP)
- States are required to have state implementation plans that include measures to preserve air quality in counties that are in attainment of the National Ambient Air Quality Standards (NAAQS) and improve air quality in counties in nonattainment.
- Where nitrogen oxides emissions from power plants are concerned, state implementation plans most often consist of regulations to implement federal permitting requirements and apply federal new source performance standards.
- State SIPs are required by Section 110 of the federal Clean Air Act, 42 U.S.C. Section 7410.
Preconstruction Permits
- New power plants and substantially modified existing power plants that are large emitters of nitrogen oxides must obtain preconstruction permits that meet either Best Available Control Technology (BACT) requirements in attainment areas or Lowest Achievable Emissions Rate (LAER) in nonattainment areas.
- Preconstruction permitting for nitrogen oxides from power plants involves the imposition of an emissions limit tied to the Best Available Control Technology for a new plant in an area in attainment for ozone and NO2 and tied to the Lowest Achievable Emissions Rate (LAER) for a new plant in a nonattainment area for ozone.
- New source preconstruction permitting is governed by Title I, Parts C & D of the Clean Air Act, 42 U.S.C. Sections 7470-7490 and 7501-7505 and the regulations at 40 CFR Sections 51.165 & 51.166.
New Source Performance Standards
- Certain new power plants and substantially modified existing power plants must meet applicable new source performance standards prescribing emissions rates.
- New Source Performance Standards control emissions through the imposition of a maximum emissions rate for new boilers and turbines. These emissions rates are included in the operating permits of the power plants.
- New Source Performance Standards for power plants are promulgated under Section 111 of the Clean Air Act, 42 U.S.C. Section 7411 and are found at 40 CFR Part 60, Subparts Da and KKKK.
Cross-State Air Pollution Rule
- The Cross-State Air Pollution Rule also aims to reduce nitrogen oxides emissions through a multistate cap-and-trade program aimed at reducing cross-state ozone transport.
- The Cross-State Air Pollution Rule covers all fossil-fuel generating units with a nameplate capacity of 25 MW or greater. The program imposes an aggregate emissions cap covering the affected plants. EPA then issues emissions allowances equal to the cap. Every power plant subject to the program must monitor its emissions and report the emissions to EPA. At the end of each year, every plant must hold enough emissions allowances to cover all of its nitrogen oxides emissions.
- The Cross-State Air Pollution rules were created under Section 110(a)(2)(D) and were published in the federal register on August 8, 2011. A December 2011 court ruling directed EPA not to implement the rule pending judicial review. As of February 2012, this review had not yet been completed. Click here for the latest status of this rule.
In general, state regulation of nitrogen oxides from power plants takes place under the federal Clean Air Act through state implementation plans and through the state administration of federal permitting requirements.
What are the projections for future NOx emissions?
Since 2005, NOx emissions have decreased by 37 percent in the United States. Along with other final state and EPA actions, the Cross-State Air Pollution Rule (CSAPR) will further reduce power plant NOx emissions by 54 percent compared to 2005 levels by 2014 in the covered region (including most of the eastern United States). Midwestern states covered by CSAPR (all but North and South Dakota) are expected to see slightly higher reductions by 2014 (U.S. EPA).
Sulfur Dioxide (SO2)▲
Why should I care about SO2 emissions?
Sulfur dioxide (SO2) is a reactive air pollutant that can cause adverse respiratory impacts, especially for vulnerable groups such as children, the elderly, and asthmatics. Atmospheric SO2 reacts with other compounds in the atmosphere to form fine particles that can cause a variety of health effects, including reduced lung function, aggravated asthma, difficulty breathing, irregular heartbeat, nonfatal heart attacks, and death in people with heart or lung disease (U.S. EPA). Fine particles also lead to regional haze.
SO2 also contributes to the formation of acid rain, or acid deposition. Once in the atmosphere, SO2 can travel downwind from where it was emitted and fall to the ground as acid rain. Once on the ground, acid rain mixes with soil and other water sources, affecting plants and animals that come in contact with it.
EPA has set National Ambient Air Quality Standards (NAAQS) for SO2and particulate matter. As required by the Clean Air Act, EPA has established National Ambient Air Quality Standards for SO2and particulate matter at levels believed to be protect human health and the environment with an adequate margin of safety. The entire Midwestern region is in attainment with the SO2 NAAQS. Click here to see whether your area has been designated as non-attainment for particulate matter.
Source: U.S. EPA.
Where do SO2 emissions come from, and how can they be reduced?
Close to three-quarters of all sulfur dioxide emissions derive from fossil fuel combustion by power plants, and another one-fifth is attributable to industry (U.S. EPA). Coal has the greatest sulfur content, though the sulfur content various significantly based on the source of the coal. Certain fuel oils also contain high sulfur levels. There is little sulfur in natural gas.
Several possible strategies for lowering sulfur dioxide emissions from power plants exist, including the following:
- Pre-combustion controls, such as fuel switching, coal switching, and coal cleaning;
- End-of-stack control technologies, such as scrubbers; and
- Demand side management and other energy conservation measures and measures to conserve energy.
Source: U.S. EPA.
Are there state or federal policies to reduce SO2 emissions from power plants?
State Implementation Plans
- States are required to have state implementation plans that include measures to preserve air quality in counties that are in attainment of the National Ambient Air Quality Standards (NAAQS) and improve air quality in counties in nonattainment.
- Where sulfur dioxide emissions from power plants are concerned, State Implementation Plans (SIP) often consist of regulations to implement federal permitting requirements and apply federal new source performance standards.
- SIPs are required by Section 110 of the federal Clean Air Act, 42 U.S.C. Section 7410.
Preconstruction Permits
- New power plants and substantially modified existing power plants that are large emitters of sulfur dioxide must obtain preconstruction permits that meet either Best Available Control Technology (BACT) requirements in attainment areas or Lowest Achievable Emissions Rate (LAER) in nonattainment areas.
- For the entire Midwestern region, preconstruction permitting for sulfur dioxide emissions from power plants involves the imposition of an emissions limit tied to the BACT for the new plant.
- New source preconstruction permitting is governed by Title I, Parts C & D of the Clean Air Act, 42 U.S.C. Sections 7470-7490 and 7501-7505 and the regulations at 40 CFR Sections 51.165 and 51.166.
New Source Performance Standards
- Certain new power plants and substantially modified existing power plants must meet applicable new source performance standards prescribing emissions rates.
- New Source Performance Standards control emissions through the imposition of a maximum emissions rate for new boilers and turbines. These emissions rates are included in the operating permits of the power plants.
- New Source Performance Standards for power plants are promulgated under Section 111 of the Clean Air Act, 42 U.S.C. Section 7411 and are found at 40 CFR Part 60, Subparts Da and KKKK.
Acid Rain Program
- The Acid Rain Program is a federal cap-and-trade program that covers all fossil-fuel generating units with a nameplate capacity of 25 MW or greater. The program imposes an aggregate emissions cap covering the affected plants. EPA then issues emissions allowances equal to the cap. Every power plant subject to the program must monitor its emissions and report the emissions to EPA. At the end of each year, every plant must hold enough emissions allowances to cover all of its sulfur dioxide emissions.
- The Acid Rain Program was created under Title IV of the Clean Air Act and regulations are found at 40 CFR Parts 72 and 75.
Cross-State-Air Pollution Rule (CSAPR)
- The Cross-State Air Pollution Rule aims to reduce sulfur dioxide emissions through a multi-state cap-and-trade program that exists alongside the Acid Rain program, but the CSAPR achieves deeper reductions.
- The Cross-State Air Pollution rules were created under Section 110(a)(2)(D) and were published in the federal register on August 8, 2011. A December 2011 court ruling directed EPA not to implement the rule pending judicial review. As of February 2012, this review had not yet been completed. Click here for the latest status of this rule.
What are the projections for future SO2 emissions?
Since 2005, SO2 emissions have decreased by 48 percent in the United States. Along with other final state and EPA actions, the Cross-State Air Pollution Rule (CSAPR) will further reduce power plant SO2 emissions by 73 percent compared to 2005 levels by 2014 in the covered region, which includes most of the eastern United States. Midwestern states covered by CSAPR (all but North and South Dakota) are expected to see similar reductions by 2014 (U.S. EPA).
Browse the list to the right to see references and descriptions for all of the data shown in this tool, including geographical data, charts, facility locations, and more.
Click on a heading to see information on data in that category.
Print open references
Power Generation▼
Map Data: Facilities, 2009
eGRID2012 Version 1.0 contains electricity generation by fuel type and emissions (CO2, NO2, and SO2) data for U.S. power plants from 2009. Only plants with positive generation (MWh) and a capacity of 1 MW or greater will be shown on the map.
Source(s)
U.S. Environmental Protection Agency. eGRID2012 Version 1.0.
Map Data: Boilers, 2009
eGRID2012 Version 1.0 contains 1,456 boilers in the Midwest, their associated plant, location, emissions, installed control technology, and year they came online. The U.S. Environmental Protection Agency (EPA) Air Markets Program Data (AMPD) database does not include the year each boiler came on line, but does include generation (MWh) associated with most boilers. Some units report steam load instead of generation, which is not shown on our maps. In order to map these two databases together, a unique code was created that combined each boiler's DOE/EIA ORIS plant or facility code with its boiler ID, information which both datasets contain.
With these two combined datasets, we are able to illustrate the number of boilers and the amount of generation associated with boilers of a certain age that either have or do not have emission control technology installed on a map layer and in region or state-specific charts. Electric generation data was only available for boilers that served a generator 25 MW and greater. These boilers accounted for 70 percent of all boilers located in the Midwest and 77 percent of generation in 2009.
Source(s)
U.S. Environmental Protection Agency. eGRID2012 Version 1.0.U.S. Environmental Protection Agency. Air Markets Program Data.
Map Data: Net Trade (TWh), 2010
Net interstate trade of electricity depicts the amount of electricity imported or exported. Net interstate trade accounts for generation, use, and line losses from transmission and distribution.
Source(s)
Map Data: Net Trade as a Proportion of Consumption or Generation (%), 2010
Net interstate trade of electricity depicts the amount of electricity imported or exported. Net interstate trade accounts for generation, use, and line losses from transmission and distribution.
Source(s)
Map Data: ISO Operating Regions
An Independent System Operator (ISO) is an independent, Federally regulated entity established to coordinate regional transmission in a non-discriminatory manner and ensure the safety and reliability of the electric system (FERC). More information on the ISO regions displayed in the Almanac can be found below:
MISO
ISO New England
New York ISO
PJM Interconnection
Southwest Power Pool
Source(s)
Chart: Total Electricity Generation (TWh)
Data displayed includes generation from 'Total Electric Power Industry' for all fuels.
Source(s)
Chart: Total Electricity Generation (%), 2010
Data displayed includes generation from 'Total Electric Power Industry' for all fuels.
Source(s)
Chart: Electric Supply, Demand, and Net Trade (TWh)
Net interstate trade of electricity depicts the amount of electricity imported or exported. Net interstate trade accounts for generation, use, and line losses from transmission and distribution.
Source(s)
U.S. Energy Information Administration. Electric Power Annual. Net Generation by State by Type of Producer by Energy Source (EIA-906, EIA-920, and EIA-923).U.S. Energy Information Administration. State Electric Profiles. Table 10. Supply and Disposition of Electricity. 'Total Electric Industry Retail Sales' and 'Net Interstate Trade.'
Chart: Electricity Consumption by Sector (%), 2009
Includes data for the following sectors and applicable SEDS codes: Residential--ESRCP MSN; Commercial--ESCCP MSN; Industrial--ESICP MSN; Transportation--ESACP MSN.
Source(s)
U.S. Energy Information Administration. State Energy Data System (SEDS).
Chart: Electric Generating Capacity by In Service Year (GW)
Source(s)
U.S. Energy Information Administration. Form EIA-860 Annual Electric Generator Report.
Chart: Average Electricity Price (cents per kWh)
Source(s)
U.S. Energy Information Administration. State Energy Data System (SEDS).
Chart: U.S. Levelized Costs (2009 cents per kWh) for Plants Entering Service in 2016--High, Low, and Average Estimates
As with any projections, there is uncertainty about all these factors and their values can vary regionally and across time as technologies evolve.
Data include the average national levelized costs for generating technologies that are brought on line in 2016 as represented in the National Energy Modeling System (NEMS) as configured for the Annual Energy Outlook 2011 (AEO2011) reference case. The estimated minimum and maximum cost for each technology is represented by the whisker lines that overlap with each bar.
Levelized cost represents the present value of the total cost of building and operating a generating plant over an assumed financial life and duty cycle, converted to equal annual payments and expressed in terms of real dollars to remove the impact of inflation. Levelized cost reflects overnight capital cost, fuel cost, fixed and variable O&M cost, financing costs, and an assumed utilization rate for each plant type. For technologies such as solar and wind generation that have no fuel costs and relatively small O&M costs, levelized cost changes in rough proportion to the estimated overnight capital cost of generation capacity. For technologies with significant fuel cost, both fuel cost and overnight cost estimates significantly affect levelized cost. The availability of various incentives, including state or federal tax credits, can also impact the calculation of levelized cost. The values shown in the tables do not incorporate any such incentives.
Source(s)
Chart: Average Projected Electricity Prices (cents per kWh)
Data available by region; not available at the state level.
Source(s)
U.S. Energy Information Administration. 2011 Annual Energy Outlook.
Chart: Energy Consumption by Fuel Source (trillion Btu)
Source(s)
U.S. Energy Information Administration. State Energy Data System (SEDS).
Chart: Energy Production by Fuel Source (trillion Btu)
Source(s)
U.S. Energy Information Administration. State Energy Data System (SEDS).
Combined Heat & Power▼
Map Data: Industrial and Commercial Manufacturing Facilities
Facility locations show major manufacturing facilities with industrial boilers on-site. This map pulls from several data sources, which are listed below. Facility information was cross-checked with the boiler dataset used for the 'Industrial and Commercial Boilers' map layer. Wherever a boiler was not represented by a known facility, an additional facility location was created. Facility locations represent the most accurate address available and in most (85%) cases a full address or set of coordinates was provided. The remaining facility locations are based on more generalized information, such as road name, city, or zip code. Facility information is from the most recently available public data as of December 2011.
Source(s)
2008 AIST Directory of Iron and Steel Plants.U.S. Environmental Protection Agency. Facility Registry System (FRS).U.S. Environmental Protection Agency. Air Facility System (AFS). Ethanol Plant Locations.Renewable Fuel Association (RFA). Ethanol Plant Data.U.S. Environmental Protection Agency. Air Quality, Major Source Boiler Locations.
Map Data: Industrial and Commercial Boilers
Boiler locations are based on the U.S. Environmental Protection Agency (EPA) Major Source Boiler Location database. Boilers and process heaters are classified as Major Sources if the facility has the potential to emit more than 10 tons per year of any single air toxic or more than 25 tons per year of any combination of air toxics. Only those boilers with known latitudes and longitudes and energy output used within industrial or commercial subsectors were included in the map layer. This dataset includes boilers that use coal, oil, and biomass and was supplemented with additional data for natural gas-fired boilers. The natural gas-fired boiler dataset does not include the energy output or age of each boiler, so this dataset is treated separately within the map layer. Boiler information is from the most recently available public data as of December 2011.
Source(s)
U.S. Environmental Protection Agency. Air Quality, Major Source Boiler Locations.
Map Data: Installed Capacity (MW)
While the EEA database is the most useful public source of U.S. CHP information, its validity cannot be fully verified by WRI at this time.
Source(s)
Map Data: Installed Capacity, % of Total Capacity
While the EEA database is the most useful public source of U.S. CHP information, its validity cannot be fully verified by WRI at this time.
Source(s)
Map Data: Total Technical Potential (MW)
Source(s)
Map Data: Industrial Technical Potential (MW)
Source(s)
Map Data: Commercial Technical Potential (MW)
Source(s)
Chart: CHP, Installed Capacity and Estimated Technical Potential (MW), 2010
While the EEA database is the most useful public source of U.S. CHP information, its validity cannot be fully verified by WRI at this time.
Source(s)
Hedman B. (ICF International). 2010. 'Effect of a 30 Percent Investment Tax Credit on the Economic Market Potential for Combined Heat and Power.'Energy and Environmental Analysis, Inc. (EEA). 2010. 'Combined Heat and Power Installation Database.'
Chart: CHP, Installed Capacity and Estimated Technical Potential in the Industrial Sector (MW), 2010
While the EEA database is the most useful public source of U.S. CHP information, its validity cannot be fully verified by WRI at this time.
Source(s)
Hedman B. (ICF International). 2010. 'Effect of a 30 Percent Investment Tax Credit on the Economic Market Potential for Combined Heat and Power.'Energy and Environmental Analysis, Inc. (EEA). 2010. 'Combined Heat and Power Installation Database.'
Chart: CHP, Installed Capacity and Estimated Technical Potential in the Commercial Sector (MW), 2010
While the EEA database is the most useful public source of U.S. CHP information, its validity cannot be fully verified by WRI at this time.
Source(s)
Hedman B. (ICF International). 2010. 'Effect of a 30 Percent Investment Tax Credit on the Economic Market Potential for Combined Heat and Power.'Energy and Environmental Analysis, Inc. (EEA). 2010. 'Combined Heat and Power Installation Database.'
Coal▼
Map Data: Coal Reserves
Existing surficial geology geospatial layers of the appropriate geologic age have been used as an approximation to depict the extent of coal-bearing areas in North America. Global surficial geology GIS data were created by the U.S. Geological Survey (USGS) for use in world petroleum assessments (Hearn and others, 2003). These USGS publications served as the major sources for the selection and creation of polygons to represent coal-bearing areas. Additional publications and maps by various countries and agencies were also used as sources of coal locations. GIS geologic polygons were truncated where literature or hardcopy maps did not indicate the presence of coal.
The depicted areas are not adequate for use in coal resource calculations, as they were not adjusted for geologic structure and do not include coal at depth. Data are not intended for use in resource assessments at any scale, but are best used for graphical display at scales smaller than 1:5,000,000.
Note, in order to provide the best user experience possible, most map layers were simplified using the Special Visvalingam method in the MapShaper editor tool. This resulted in reducing the detail in most resource map layers by 15-30% which may reduce its accuracy when viewing the map at a high zoom level. Users can access original map data from the reference links below.
Source(s)
Map Data: Coal Mine
The mine dataset lists all coal and metal/nonmetal mines under Mine Safety and Health Administration's (MSHA) jurisdiction since January 1, 1970.. All latitudinal/longitudinal entries are intended to represent the mine location, not an office. Each mine is designated as surface, underground, or facility, depending on the major activity that occurs at the site. Numerous sites labeled as 'facility' could have been mines at one point but are currently only involved in processing or transportation, or they are small mines that also process coal for other sites. This dataset is updated and available every Monday.
A layer was created in ArcGIS based on the latitude and longitude location of each mine; this layer was converted to a .kml file to view in Google Earth. The mine location dataset was checked against the U.S. Geological Survey (USGS) coal seams dataset and satellite imagery in Google Earth. Most points are located within the USGS defined seam boundaries and are located at a mine or very close to a mine.
Some mine sites are located outside of the seam boundaries but appear to be an active mining site in the satellite imagery. USGS acknowledges that the map represents a generalization, so that the boundaries are appropriate for a small-scale map of a large area like the United States but not necessarily for a large scale map for resolution of small features and details.
Because of this data limitation, mine sites were removed only if they were located on a body of water (Pacific, Atlantic, or Gulf of Mexico), or located visually far from the coal seam and when zoomed in on Google Earth, no mining activity could be seen. These mine locations were often more than 40 miles away from the USGS coal seams border, although a few were between 25-30 miles. Twenty-three mine locations were removed from the final dataset utilized in the Midwest Almanac. MSHA was notified of the Mine ID of each of these mines in order to improve their dataset.
Source(s)
Map Data: Railroads
Optional display with coal mine sites, coal seams, and urban areas.
These data are intended for geographic display and analysis at the national level and for large regional areas. The data should be displayed and analyzed at scales appropriate for 1:2,000,000 data.
Source(s)
Chart: Total Electricity Generated from Coal by State (TWh)
Source(s)
Chart: Total Electricity Generated from Coal (TWh)
Data displayed includes generation from 'Total Electric Power Industry' for all fuels.
Source(s)
Chart: Estimated Recoverable Coal Reserves by State (million short tons)
Source(s)
Chart: Estimated Recoverable Coal Reserves (million short tons)
Source(s)
Chart: Coal Production and Consumption (trillion Btu)
Source(s)
U.S. Energy Information Administration. State Energy Data System (SEDS).
Chart: Coal Consumption by Sector (%), 2010
Source(s)
U.S. Energy Information Administration. State Energy Data System (SEDS).
Chart: Projected Coal Consumption (quadrillion Btu)
Projections are only available at the regional level. Data represents coal consumption under the EIA's 2011 Annual Energy Outlook (AEO) baseline scenario.
Source(s)
U.S. Energy Information Administration. 2011 Annual Energy Outlook.
Chart: Average Coal Price (dollars per million Btu)
Source(s)
U.S. Energy Information Administration. State Energy Data System (SEDS).
Chart: U.S. Levelized Costs (2009 cents per kWh) for Plants Entering Service in 2016--High, Low, and Average Estimates
As with any projections, there is uncertainty about all these factors and their values can vary regionally and across time as technologies evolve.
Data include the average national levelized costs for generating technologies that are brought on line in 2016 as represented in the National Energy Modeling System (NEMS) as configured for the Annual Energy Outlook 2011 (AEO2011) reference case. The estimated minimum and maximum cost for each technology is represented by the whisker lines that overlap with each bar.
Levelized cost represents the present value of the total cost of building and operating a generating plant over an assumed financial life and duty cycle, converted to equal annual payments and expressed in terms of real dollars to remove the impact of inflation. Levelized cost reflects overnight capital cost, fuel cost, fixed and variable O&M cost, financing costs, and an assumed utilization rate for each plant type. For technologies such as solar and wind generation that have no fuel costs and relatively small O&M costs, levelized cost changes in rough proportion to the estimated overnight capital cost of generation capacity. For technologies with significant fuel cost, both fuel cost and overnight cost estimates significantly affect levelized cost. The availability of various incentives, including state or federal tax credits, can also impact the calculation of levelized cost. The values shown in the tables do not incorporate any such incentives.
Source(s)
Chart: Average Projected Coal Prices (dollars per million Btu)
Data available by region; not available at the state level.
Source(s)
U.S. Energy Information Administration. 2011 Annual Energy Outlook.
Chart: Coal-Fired Electricity Generation (%), 2010
Data displayed includes generation from 'Total Electric Power Industry' for coal resources.
Source(s)
Natural Gas▼
Map Data: Natural Gas Field
A cells polygon feature class was created by the U.S. Geological Survey (USGS) to illustrate the degree of exploration, type of production, and distribution of production in the United States. Each cell represents a square mile of the land surface, and the cells are coded to represent whether the wells included within the cell are predominantly oil producing, gas producing, both oil and gas producing, or the type of production of the wells located within the cell is unknown or dry. The well information was initially retrieved from IHS Inc.'s PI/Dwights PLUS Well Data on CD-ROM, which is a proprietary commercial database containing information for most oil and gas wells in the United States. Cells were developed as a graphic solution to overcome the problem of displaying proprietary well data. No proprietary data are displayed or included in the cell maps. The data are current through October 1, 2005.
The latest data available ('2000s_1sqmicg.shp' file) were chosen from the downloaded zip file. Natural gas fields were selected based on the value in the column 'CELLSYMB' of the attribute table:
2 = Cell contains at least one productive gas well, but no productive oil wells.
3 = Cell contains at least one productive oil well and at least one productive gas well or one well producing both oil and gas.
To reduce the file size, the selected natural gas fields layer was split into an 'east' layer that covered the Northeast, South Atlantic, and Midwest regions, and a 'west' layer that covered the South Central, Mountain, and Pacific regions. Both layers were also dissolved based on the 'CELLSYMB' attribute, which aggregated all cells that contained the same 'CELLSYMB' attribute.
Each cell contained in the layer represents a square mile on the land surface where natural gas is being produced, not the exact location of natural gas wells.
Source(s)
Map Data: Unconventional Natural Gas
In addition to showing each unconventional natural gas feature by type, all unconventional gas basins and plays were merged to create 'unconventional natural gas basins' and 'unconventional natural gas plays' layers so users can get a general sense of where all potential unconventional natural gas resources are located.
Note, in order to provide the best user experience possible, most map layers were simplified using the Special Visvalingam method in the MapShaper editor tool. This resulted in reducing the detail in most resource map layers by 15-30% which may reduce its accuracy when viewing the map at a high zoom level. Users can access original map data from the reference links below.
Source(s)
Map Data: Coalbed Methane
Coalbed methane field boundaries were last updated by the U.S. Energy Information Administration (EIA) in 2007 while coalbed methane basin boundaries were last updated by EIA in 2006. Note, in order to provide the best user experience possible, most map layers were simplified using the Special Visvalingam method in the MapShaper editor tool. This resulted in reducing the detail in most resource map layers by 15-30% which may reduce its accuracy when viewing the map at a high zoom level. Users can access original map data from the reference links below.
Source(s)
Map Data: Shale
Shale gas basin and play boundaries were last updated by the U.S. Energy Information Administration on May 9, 2011. Note, in order to provide the best user experience possible, most map layers were simplified using the Special Visvalingam method in the MapShaper editor tool. This resulted in reducing the detail in most resource map layers by 15-30% which may reduce its accuracy when viewing the map at a high zoom level. Users can access original map data from the reference links below.
Source(s)
Map Data: Tight Gas
Note, in order to provide the best user experience possible, most map layers were simplified using the Special Visvalingam method in the MapShaper editor tool. This resulted in reducing the detail in most resource map layers by 15-30% which may reduce its accuracy when viewing the map at a high zoom level. Users can access original map data from the reference links below.
Source(s)
Chart: Total Electricity Generated from Natural Gas by State (TWh)
Data displayed includes generation from 'Total Electric Power Industry' for all fuels.
Source(s)
Chart: Total Electricity Generated from Natural Gas (TWh)
Data displayed includes generation from 'Total Electric Power Industry' for all fuels.
Source(s)
Chart: Proved Natural Gas Reserves by State (billion cubic feet)
Source(s)
U.S. Energy Information Administration. Proved Reserves, Reserves Changes, and Production.
Chart: Proved Natural Gas Reserves (billion cubic feet)
Source(s)
U.S. Energy Information Administration. Proved Reserves, Reserves Changes, and Production.
Chart: Shale Reserves (billion cubic feet)
Source(s)
U.S. Energy Information Administration. Proved Reserves, Reserves Changes, and Production.
Chart: Coalbed Methane Reserves (billion cubic feet)
Source(s)
U.S. Energy Information Administration. Proved Reserves, Reserves Changes, and Production.
Chart: Natural Gas Production and Consumption (trillion Btu)
Source(s)
U.S. Energy Information Administration. State Energy Data System (SEDS).
Chart: Natural Gas Consumption by Sector (%), 2010
Source(s)
U.S. Energy Information Administration. State Energy Data System (SEDS).
Chart: Projected Natural Gas Consumption (quadrillion Btu)
Projections are only available at the regional level. The high range depicts the estimated consumption from the U.S. Energy Information Administration's (EIA) 2011 Annual Energy Outlook (AEO) high estimated ultimate recovery (EUR) scenario of shale gas while the low range depicts natural gas consumption under the AEO's low EUR scenario of shale gas.
Source(s)
U.S. Energy Information Administration. 2011 Annual Energy Outlook.
Chart: Average Natural Gas Price (dollars per million Btu)
Source(s)
U.S. Energy Information Administration. State Energy Data System (SEDS).
Chart: U.S. Levelized Costs (2009 cents per kWh) for Plants Entering Service in 2016--High, Low, and Average Estimates
As with any projections, there is uncertainty about all these factors and their values can vary regionally and across time as technologies evolve.
Data include the average national levelized costs for generating technologies that are brought on line in 2016 as represented in the National Energy Modeling System (NEMS) as configured for the Annual Energy Outlook 2011 (AEO2011) reference case. The estimated minimum and maximum cost for each technology is represented by the whisker lines that overlap with each bar.
Levelized cost represents the present value of the total cost of building and operating a generating plant over an assumed financial life and duty cycle, converted to equal annual payments and expressed in terms of real dollars to remove the impact of inflation. Levelized cost reflects overnight capital cost, fuel cost, fixed and variable O&M cost, financing costs, and an assumed utilization rate for each plant type. For technologies such as solar and wind generation that have no fuel costs and relatively small O&M costs, levelized cost changes in rough proportion to the estimated overnight capital cost of generation capacity. For technologies with significant fuel cost, both fuel cost and overnight cost estimates significantly affect levelized cost. The availability of various incentives, including state or federal tax credits, can also impact the calculation of levelized cost. The values shown in the tables do not incorporate any such incentives.
Source(s)
Chart: Average Projected Natural Gas Prices (dollars per million Btu)
Data available by region; not available at the state level.
Source(s)
U.S. Energy Information Administration. 2011 Annual Energy Outlook.
Chart: Natural Gas-Fired Electricity Generation (%), 2010
Data displayed includes generation from 'Total Electric Power Industry' for natural gas resources.
Source(s)
Solar▼
Map Data: Solar PV Resource Potential (kWh/m2/day)
National Renewable Energy Laboratory's (NREL) high-resolution photovoltaic (PV) resource maps contain the monthly average and annual average solar resources available as average daily total radiation (Wh/m2/day). Annual data for all layers was divided by 1,000 to obtain kWh/m2/day. Low-resolution data for the lower 48 states was merged with high-resolution data for Hawaii and broken down into six categories. Each category was assigned a value which was used to dissolve the layer and lower its size:
2.42-4.5 kWh/m2/day = 1
4.5-5 kWh/m2/day = 2
5-5.5 kWh/m2/day = 3
5.5-6 kWh/m2/day = 4
6-6.5 kWh/m2/day = 5
6.5-7 kWh/m2/day = 6
NREL also provides high-resolution data and maps, available from the link below.
Note, in order to provide the best user experience possible, most map layers were simplified using the Special Visvalingam method in the MapShaper editor tool. This resulted in reducing the detail in most resource map layers by 15-30% which may reduce its accuracy when viewing the map at a high zoom level. Users can access original map data from the reference links below.
Source(s)
Map Data: Solar PV Resource Potential with Areas Not Suitable for Installation Removed (kWh/m2/day)
To be consistent with the potential wind resource map, an 'exclusions' layer for solar photovoltaic (PV) potential was also created. Due to the size of PV technology, the only land types we defined as 'unsuitable' for PV development were:
1. 100% exclusion of National Park Service and Fish and Wildlife Service managed lands
2. 100% exclusion of federal lands designated as park, wilderness, wilderness study area, national monument, national battlefield, recreation area, national conservation area, wildlife refuge, wildlife area, wild and scenic river or inventoried roadless area
3. 100% exclusion of state and private lands equivalent to criteria 2 and 3, where geospatial data is available
4. 100% exclusion of wetlands and water areas
5. 100% exclusion of the 3 km surrounding criteria 1-4 (except water)
Since PV technology can be installed on the rooftops of buildings and houses found in urban areas as well as on top of airport terminals, these layers were not included in the 'exclusion' layer. The layers defined as 'unsuitable' were merged together and subtracted from the original resource potential map, resulting in a PV resource map with all unsuitable land areas removed.
Note, in order to provide the best user experience possible, most map layers were simplified using the Special Visvalingam method in the MapShaper editor tool. This resulted in reducing the detail in most resource map layers by 15-30% which may reduce its accuracy when viewing the map at a high zoom level. Users can access original map data from the reference links below.
Source(s)
National Renewable Energy Laboratory. Low Resolution (40km) / Lower 48 PV Low Resolution, Hawaii PV Low Resolution, Alaska PV Low Resolution.Streams and Waterbodies of the United States.Federal and Indian Lands.Conservation Biology Institute. PAD-US 1.1 (CBI Edition).ESRI & U.S. Forest Service. USFS Inventoried Roadless Areas for Contiguous U.S. (Data Basin Dataset).
Map Data: Concentrating Solar Power Resource Potential (kWh/m2/day)
High-resolution data was provided with monthly average and annual average solar resources available in Wh/m2/day. Annual data for all layers was divided by 1,000 to obtain kWh/m2/day. High-resolution data for the lower 48 states was merged with high-resolution data for Hawaii and broken down into six categories. Each category was assigned a value that was used to dissolve the layer and lower its size:
2.42-4.5 kWh/m2/day = 1
4.5-5 kWh/m2/day = 2
5-5.5 kWh/m2/day = 3
5.5-6 kWh/m2/day = 4
6-6.5 kWh/m2/day = 5
6.5-7 kWh/m2/day = 6
National Renewable Energy Laboratory (NREL) suggests using a minimum resource threshold of 5 kWh/m2/day, which is generally imposed on concentrated solar power (CSP) technologies. Therefore, only areas with a CSP potential of 5 kWh/m2/day were selected and converted to kml.
Note, in order to provide the best user experience possible, most map layers were simplified using the Special Visvalingam method in the MapShaper editor tool. This resulted in reducing the detail in most resource map layers by 15-30% which may reduce its accuracy when viewing the map at a high zoom level. Users can access original map data from the reference links below.
Source(s)
Map Data: CSP Resource Potential with Areas Not Suitable for Development Removed (kWh/m2/day)
To be consistent with the potential wind resource map, an 'exclusions' layer for concentrated solar power (CSP) potential was also created. Criteria include the following:
1. 100% exclusion of National Park Service and Fish and Wildlife Service managed lands
2. 100% exclusion of federal lands designated as park, wilderness, wilderness study area, national monument, national battlefield, recreation area, national conservation area, wildlife refuge, wildlife area, wild and scenic river or inventoried roadless area
3. 100% exclusion of state and private lands equivalent to criteria 2 and 3, where geospatial data is available
4. 100% exclusion of airfields, urban areas, wetlands, and water areas (except the Great Lakes and offshore areas)
5. 100% exclusion of 3 km surrounding criteria 1-4 (except water)
The layers defined as 'unsuitable' were merged together and subtracted from the original resource potential map, resulting in a CSP resource map with all unsuitable land areas removed.
Note, in order to provide the best user experience possible, most map layers were simplified using the Special Visvalingam method in the MapShaper editor tool. This resulted in reducing the detail in most resource map layers by 15-30% which may reduce its accuracy when viewing the map at a high zoom level. Users can access original map data from the reference links below.
Source(s)
National Renewable Energy Laboratory. High Resolution (10km) / Lower 48 DNI High Resolution, Hawaii CSP High Resolution.U.S. Geological Survey. Urban Areas of the United States.Streams and Waterbodies of the United States.Federal and Indian Lands.Conservation Biology Institute. PAD-US 1.1 (CBI Edition).ESRI & U.S. Forest Service. USFS Inventoried Roadless Areas for Contiguous U.S. (Data Basin Dataset).ESRI, Tele Atlas North America, NTAD, & AirNav LLC. USA Airport Hub Size.
Chart: Installed Solar Capacity (PV and CSP), 2010
Source(s)
Chart: U.S. Average PV Cost (2010 dollars per Watt)
Source(s)
Chart: U.S. Levelized Costs (2009 cents per kWh) for Plants Entering Service in 2016--High, Low, and Average Estimates
As with any projections, there is uncertainty about all these factors and their values can vary regionally and across time as technologies evolve.
Data include the average national levelized costs for generating technologies that are brought on line in 2016 as represented in the National Energy Modeling System (NEMS) as configured for the Annual Energy Outlook 2011 (AEO2011) reference case. The estimated minimum and maximum cost for each technology is represented by the whisker lines that overlap with each bar.
Levelized cost represents the present value of the total cost of building and operating a generating plant over an assumed financial life and duty cycle, converted to equal annual payments and expressed in terms of real dollars to remove the impact of inflation. Levelized cost reflects overnight capital cost, fuel cost, fixed and variable O&M cost, financing costs, and an assumed utilization rate for each plant type. For technologies such as solar and wind generation that have no fuel costs and relatively small O&M costs, levelized cost changes in rough proportion to the estimated overnight capital cost of generation capacity. For technologies with significant fuel cost, both fuel cost and overnight cost estimates significantly affect levelized cost. The availability of various incentives, including state or federal tax credits, can also impact the calculation of levelized cost. The values shown in the tables do not incorporate any such incentives.
Source(s)
Chart: Solar-Powered Electricity Generation (%), 2010
Data displayed includes generation from 'Total Electric Power Industry' for solar resources.
Source(s)
Wind▼
Map Data: Wind Resource Potential
In order to provide the best user experience, low resolution wind resource data from National Renewable Energy Laboratory (NREL) was used at the national scale. This wind power potential layer was dissolved based on the wind class attribute, which aggregated all cells that contained the same wind class. High-resolution wind class data is shown for select states. To obtain NREL's high-resolution data and maps, follow the link below.
Note, in order to provide the best user experience possible, most map layers were simplified using the Special Visvalingam method in the MapShaper editor tool. This resulted in reducing the detail in most resource map layers by 15-30% which may reduce its accuracy when viewing the map at a high zoom level. Users can access original map data from the reference links below.
Source(s)
National Renewable Energy Laboratory. Wind Data: Low Resolution 25-meter.
Map Data: Wind Resource Potential with Areas Not Suitable for Wind Turbine Development Removed
In order to show the full wind power potential across the United States, land areas that are not suitable to develop wind power were identified. Methods were adapted from National Renewable Energy Laboratory's (NREL) state wind resource potential study, the results from which will also appear in Power Almanac's charts. Criteria include the following:
1. 100% exclusion of National Park Service and Fish and Wildlife Service managed lands
2. 100% exclusion of federal lands designated as park, wilderness, wilderness study area, national monument, national battlefield, recreation area, national conservation area, wildlife refuge, wildlife area, wild and scenic river or inventoried roadless area
3. 100% exclusion of state and private lands equivalent to criteria 2 and 3, where geospatial data is available
4. 100% exclusion of airfields, urban areas, wetlands, and water areas (except the Great Lakes and offshore areas)
5. 100% exclusion of 3 km surrounding criteria 1-4 (except water)
All criteria were merged to create one 'exclusion' layer. This was subtracted from the original wind resource potential map, resulting in a wind resource map with all unsuitable land areas removed.
Note, in order to provide the best user experience possible, most map layers were simplified using the Special Visvalingam method in the MapShaper editor tool. This resulted in reducing the detail in most resource map layers by 15-30% which may reduce its accuracy when viewing the map at a high zoom level. Users can access original map data from the reference links below.
Source(s)
National Renewable Energy Laboratory. Wind Data: Low Resolution 25-meter.U.S. Geological Survey. Urban Areas of the United States.Streams and Waterbodies of the United States.Federal and Indian Lands.Conservation Biology Institute. PAD-US 1.1 (CBI Edition).ESRI & U.S. Forest Service. USFS Inventoried Roadless Areas for Contiguous U.S. (Data Basin Dataset).ESRI, Tele Atlas North America, NTAD, & AirNav LLC. USA Airport Hub Size.
Map Data: Great Lakes Offshore Wind Potential
High resolution data was used for the Great Lakes offshore area. However, these shapefiles only contained wind speed data measured at 90 meters. In order to display this dataset with the onshore wind resource map layer, the wind class was calculated using the wind profile power law, u2/u1 = (z2/z1)^P.
u2 = the wind speed at height z2.
u1 and z1 = the wind speed and height already known at a reference height.
P = a function of both the atmospheric stability in the layer over which P is determined to be valid and the underlying surface characteristics.
The above equation was applied to convert wind speed at 90 meters to wind speed at 50 meters over the same location. A value of 0.11 was used for the exponent P based on the results of Hsu et. al. (1995). National Renewable Energy Laboratory's (NREL) 'Classes of wind power density at 10 m and 50 m' was used to convert the wind speed at 50 meters to wind class.
Hsu, S.A., E.A. Meindel, D.B. Gilhousen. Determining the Power-Law Wind Profile Exponent under Near-Neutral Stability Conditions at Sea. American Meteorological Society, June 1994: 757-765.
NREL, Wind Energy Resource Atlas of the United States, 'Table A-8 Classes of wind power density at 10 m and 50 m.'
Note, in order to provide the best user experience possible, most map layers were simplified using the Special Visvalingam method in the MapShaper editor tool. This resulted in reducing the detail in most resource map layers by 15-30% which may reduce its accuracy when viewing the map at a high zoom level. Users can access original map data from the reference links below.
Source(s)
National Renewable Energy Laboratory. Wind Data: Low Resolution 25-meter.
Chart: Total Electricity Generated from Wind by State (TWh)
Data displayed includes generation from 'Total Electric Power Industry' for all fuels.
Source(s)
Chart: Total Electricity Generated from Wind (TWh)
Data displayed includes generation from 'Total Electric Power Industry' for all fuels.
Source(s)
Chart: Installed Wind Capacity by State (GW)
Source(s)
U.S. Department of Energy. Energy Efficiency & Renewable Energy. U.S. Installed Wind Capacity.
Chart: Installed Wind Capacity (GW)
Source(s)
U.S. Department of Energy. Energy Efficiency & Renewable Energy. U.S. Installed Wind Capacity.
Chart: Installed and Potential Wind Capacity (GW), 2010
National Renewable Energy Laboratory's (NREL) state wind resource potential study provides the total land area (in square kilometers) available for wind turbine development. The study assumed 5 MW of installed capacity for every available square kilometer. This was multiplied by 5 percent of the available land area in each state, and the result is shown in the chart. For a full list of NREL's assumptions, follow the link below.
Source(s)
U.S. Department of Energy. Energy Efficiency & Renewable Energy. U.S. Installed Wind Capacity.National Renewable Energy Laboratory. Estimates of Windy Land Area and Wind Energy Potential, by State for areas >= 30% capacity factor at 80m.
Chart: Current and Potential Wind Generation (GWh), 2010
National Renewable Energy Laboratory's (NREL) state wind resource potential study provides the total land area (in square kilometers) available for wind turbine development as well as the total electricity (MWh) that could be generated if wind turbines were installed throughout the available land area. These values were divided to calculate a MWh/square kilometer factor for each state. Five percent of the available land area for each state was multiplied by this factor, resulting in an estimate of the electricity that could be generated from wind resources on 5 percent of the land available for wind turbine development for each state. For a full list of NREL's assumptions, follow the link below.
Source(s)
Chart: U.S. Average Cumulative Wind Prices over Time (2010 cents/kWh)
Source(s)
Wiser, R., and M. Bolinger. 2010 Wind Technologies Market Report. LBNL-4820E. June 2011.
Chart: U.S. Levelized Costs (2009 cents per kWh) for Plants Entering Service in 2016--High, Low, and Average Estimates
As with any projections, there is uncertainty about all these factors and their values can vary regionally and across time as technologies evolve.
Data include the average national levelized costs for generating technologies that are brought on line in 2016 as represented in the National Energy Modeling System (NEMS) as configured for the Annual Energy Outlook 2011 (AEO2011) reference case. The estimated minimum and maximum cost for each technology is represented by the whisker lines that overlap with each bar.
Levelized cost represents the present value of the total cost of building and operating a generating plant over an assumed financial life and duty cycle, converted to equal annual payments and expressed in terms of real dollars to remove the impact of inflation. Levelized cost reflects overnight capital cost, fuel cost, fixed and variable O&M cost, financing costs, and an assumed utilization rate for each plant type. For technologies such as solar and wind generation that have no fuel costs and relatively small O&M costs, levelized cost changes in rough proportion to the estimated overnight capital cost of generation capacity. For technologies with significant fuel cost, both fuel cost and overnight cost estimates significantly affect levelized cost. The availability of various incentives, including state or federal tax credits, can also impact the calculation of levelized cost. The values shown in the tables do not incorporate any such incentives.
Source(s)
Chart: Wind-Powered Electricity Generation (%), 2010
Data displayed includes generation from 'Total Electric Power Industry' for wind resources.
Source(s)
Carbon Dioxide (CO2)▼
Map Data: CO2 Capture & Storage Projects, 2010
The database includes active, proposed, canceled, and terminated carbon dioxide capture and storage (CCS) projects worldwide. Information in the database regarding technologies being developed for capture, evaluation of sites for carbon dioxide (CO2) storage, estimation of project costs, and anticipated dates of completion is sourced from publicly available information. The CCS database provides the public with information regarding efforts by various industries, public groups, and governments toward development and eventual deployment of CCS technology. As of April 2011, the database contained 254 CCS projects worldwide. The 254 projects include 65 for capture, 61 for storage, and 128 for capture and storage in more than 27 countries across 6 continents. While most of the projects are still in the planning and development stage, or have recently been proposed, 20 are actively capturing and injecting CO2.
Only U.S. sites are shown; about two-thirds of site locations are approximate.
Source(s)
Map Data: Unmineable Coal Area (million short tons)
The NATCARB is administered by the U.S. Department of Energy (DOE) National Energy Technology Laboratory (NETL) and contains data provided by several Regional Carbon Sequestration Partnerships (RCSP). RCSPs originally developed the data per individual geologic storage resource, or as continuous surface models, and then converted these data into a 10 km X 10 km vector 'grid.'
The 'middle' storage potential estimate will be converted from metric tons CO2 to million tons CO2. In order to reduce file size, each range of CO2 storage was given a value as follows:
Million short tons CO2:
0-1 = 1
1-10 = 2
10-100 = 3
100-1,600 = 4
Each file was dissolved based on these ranges.
Note, in order to provide the best user experience possible, most map layers were simplified using the Special Visvalingam method in the MapShaper editor tool. This resulted in reducing the detail in most resource map layers by 15-30% which may reduce its accuracy when viewing the map at a high zoom level. Users can access original map data from the reference links below.
Source(s)
Map Data: Saline Formation (million short tons)
The NATCARB is administered by the U.S. Department of Energy (DOE) National Energy Technology Laboratory (NETL) and contains data provided by several Regional Carbon Sequestration Partnerships (RCSP). RCSPs originally developed the data per individual geologic storage resource, or as continuous surface models, and then converted these data into a 10 km X 10 km vector 'grid.'
The 'middle' storage potential estimate will be converted from metric tons CO2 to million tons CO2. In order to reduce file size, each range of CO2 storage was given a value as follows:
Million short tons CO2:
0-1 = 1
1- 10 = 2
10-100 = 3
100-1,600 = 4
Each file was dissolved based on these ranges.
Note, in order to provide the best user experience possible, most map layers were simplified using the Special Visvalingam method in the MapShaper editor tool. This resulted in reducing the detail in most resource map layers by 15-30% which may reduce its accuracy when viewing the map at a high zoom level. Users can access original map data from the reference links below.
Source(s)
Map Data: Oil & Gas Reservoir (million short tons)
The NATCARB is administered by the U.S. Department of Energy (DOE) National Energy Technology Laboratory (NETL) and contains data provided by several Regional Carbon Sequestration Partnerships (RCSP). RCSPs originally developed the data per individual geologic storage resource, or as continuous surface models, and then converted these data into a 10 km X 10 km vector 'grid'.
The 'middle' storage potential estimate will be converted from metric tons CO2 to million tons CO2. In order to reduce file size, each range of CO2 storage was given a value as follows:
Million short tons CO2:
0-1 = 1
1-10 = 2
10-100 = 3
100-1,600 = 4
Each file was dissolved based on these ranges.
Note, in order to provide the best user experience possible, most map layers were simplified using the Special Visvalingam method in the MapShaper editor tool. This resulted in reducing the detail in most resource map layers by 15-30% which may reduce its accuracy when viewing the map at a high zoom level. Users can access original map data from the reference links below.
Source(s)
Map Data: Federal & State Protected Land
The Federal Land areas map layer was combined with the State/GAP land stewardship management status map layer and the inventoried roadless areas map layer to create a generalized 'protected lands' overlay layer.
Note, in order to provide the best user experience possible, most map layers were simplified using the Special Visvalingam method in the MapShaper editor tool. This resulted in reducing the detail in most resource map layers by 15-30% which may reduce its accuracy when viewing the map at a high zoom level. Users can access original map data from the reference links below.
Source(s)
Federal and Indian Lands.Conservation Biology Institute. PAD-US 1.1 (CBI Edition).ESRI & U.S. Forest Service. USFS Inventoried Roadless Areas for Contiguous U.S. (Data Basin Dataset).
Map Data: National Seismic Hazard (% g)
This map represents a model showing the probability that ground motion will reach a certain level during an earthquake. The data show peak horizontal ground acceleration (the fastest measured change in speed for a particle at ground level that is moving horizontally because of an earthquake) with a 2 percent probability of exceedance in 50 years.
The seismic hazard map was initially divided into 18 categories. In order to create a map layer consistent with the map shown on the U.S. Geological Survey (USGS) map service, the categories contained within this layer and associated contour layer were grouped into 8 categories. The hazards layer was dissolved based on these categories in order to reduce its file size:
0-2
2-4
4-6
6-14
14-20
20-40
40-80
80+
Note, in order to provide the best user experience possible, most map layers were simplified using the Special Visvalingam method in the MapShaper editor tool. This resulted in reducing the detail in most resource map layers by 15-30% which may reduce its accuracy when viewing the map at a high zoom level. Users can access original map data from the reference links below.
Source(s)
Chart: CO2 Emissions from Electric Generation by State (million short tons)
Includes emissions from 'Total Electric Power Industry.' Data converted to short tons from metric tons for consistency between this dataset and the U.S. Environmental Protection Agency (EPA) eGRID dataset. The estimated CO2 emissions are determined by the type and quantity of fossil fuels consumed by power plants as well as the presence of pollution controls.
Source(s)
Chart: CO2 Emissions (million short tons)
Includes emissions from 'Total Electric Power Industry'; converted to short tons from metric tons for consistency between this dataset and the U.S. Environmental Protection Agency (EPA) eGRID dataset. The estimated CO2 emissions are determined by the type and quantity of fossil fuels consumed by power plants as well as the presence of pollution controls.
Source(s)
Chart: Projected CO2 Emissions from Total Electric Generation (million short tons)
Projections are only available at the regional level. Data represents estimated emissions under the EIA's 2011 Annual Energy Outlook (AEO) baseline scenario.
Source(s)
U.S. Energy Information Administration. 2011 Annual Energy Outlook.
Chart: CO2 Emissions from Electric Generation by Type of Producer (%), 2010
Includes emissions from each sector (electric generation, independent power producers, industrial, and commercial). Data converted to short tons from metric tons for consistency between this dataset and the U.S. Environmental Protection Agency (EPA) eGRID dataset. The estimated CO2 emissions are determined by the type and quantity of fossil fuels consumed by power plants.
Source(s)
Chart: CO2 Emissions by Sector (million short tons), 2010
Includes emissions from each sector (electric generation, independent power producers, industrial, and commercial). Data converted to short tons from metric tons for consistency between this dataset and the U.S. Environmental Protection Agency (EPA) eGRID dataset. The estimated CO2 emissions are determined by the type and quantity of fossil fuels consumed by power plants.
Source(s)
Chart: CO2e Emissions by Sector (%), 2009
Includes total greenhouse gas (CO2e) emissions from energy consumption (i.e., electric utility, industry, commercial, residential, transportation, and fugitive), industrial processes, agriculture, and waste. Data converted to short tons from metric tons for consistency between this dataset and the U.S. Environmental Protection Agency (EPA) eGRID dataset. The 2007 data are the latest year available for state-level emission estimates.
Source(s)
Chart: CO2 Emissions Intensity (lbs CO2 per MWh of electricity generation)
To calculate emissions intensity, CO2 emissions were divided by the amount of total electricity generated in each state or region.
Source(s)
U.S. Energy Information Administration. Electric Power Annual. Net Generation by State by Type of Producer by Energy Source (EIA-906, EIA-920, and EIA-923).U.S. Energy Information Administration. Electric Power Annual. U.S. Electric Power Industry Estimated Emissions by State (EIA-767, EIA-906, EIA-920, and EIA-923).
Chart: CO2 Emissions Intensity (lbs CO2 per MWh of fossil fuel-fired electric generation)
To calculate emissions intensity, CO2 emissions were divided by the amount of fossil fuel-fired electricity generated in each state or region.
Source(s)
U.S. Energy Information Administration. Electric Power Annual. Net Generation by State by Type of Producer by Energy Source (EIA-906, EIA-920, and EIA-923).U.S. Energy Information Administration. Electric Power Annual. U.S. Electric Power Industry Estimated Emissions by State (EIA-767, EIA-906, EIA-920, and EIA-923).
Chart: Potential CO2 Storage (million tons)
Source provides CO2 storage potential for the following formations: unmineable coal areas, saline formations, and oil and gas reservoirs. If a low and high estimate was given, a 'middle' estimate was calculated based on the average of the low and high value.
Source(s)
Mercury (Hg)▼
Map Data: Emissions, 2010 (tons)
The 2010 data, titled 'Nationwide Emission Estimates' can be found at U.S. Environmental Protection Agency's (EPA) Air Toxic Standards for Utilities, under Technical Support Documents for March 21, 2011; Emissions data is found in column L, by state.
Source(s)
U.S. Environmental Protection Agency Technology Transfer Network. Air Toxic Standards for Utilities.
Chart: Mercury Emissions by State (tons)
Source(s)
U.S. Environmental Protection Agency Technology Transfer Network. 5/31/06 Summary Deposition Table: 1999 Mercury Emissions.U.S. Environmental Protection Agency Technology Transfer Network. 2005 National Emissions Inventory Data & Documentation.U.S. Environmental Protection Agency Technology Transfer Network. Air Toxic Standards for Utilities.
Chart: Mercury Emissions (tons)
Source(s)
U.S. Environmental Protection Agency Technology Transfer Network. 5/31/06 Summary Deposition Table: 1999 Mercury Emissions.U.S. Environmental Protection Agency Technology Transfer Network. 2005 National Emissions Inventory Data & Documentation.U.S. Environmental Protection Agency Technology Transfer Network. Air Toxic Standards for Utilities.
Chart: Mercury Emissions Intensity (lbs Hg per GWh of electric generation)
To calculate emissions intensity, mercury emissions were divided by the amount of total electricity generated in each state or region.
Source(s)
U.S. Energy Information Administration. Electric Power Annual. Net Generation by State by Type of Producer by Energy Source (EIA-906, EIA-920, and EIA-923).U.S. Environmental Protection Agency Technology Transfer Network. 5/31/06 Summary Deposition Table: 1999 Mercury Emissions.U.S. Environmental Protection Agency Technology Transfer Network. 2005 National Emissions Inventory Data & Documentation.U.S. Environmental Protection Agency Technology Transfer Network. Air Toxic Standards for Utilities.
Chart: Mercury Emissions Intensity (lbs Hg per GWh of coal- and oil-fired electric generation)
To calculate emissions intensity, mercury emissions were divided by the amount of coal- and oil-fired electricity generated in each state or region.
Source(s)
U.S. Energy Information Administration. Electric Power Annual. Net Generation by State by Type of Producer by Energy Source (EIA-906, EIA-920, and EIA-923).U.S. Environmental Protection Agency Technology Transfer Network. 5/31/06 Summary Deposition Table: 1999 Mercury Emissions.U.S. Environmental Protection Agency Technology Transfer Network. 2005 National Emissions Inventory Data & Documentation.U.S. Environmental Protection Agency Technology Transfer Network. Air Toxic Standards for Utilities.
Nitrogen Oxides (NOx)▼
Chart: NOx Emissions from Electric Generation by State (thousand short tons)
Chart shows U.S. Environmental Protection Agency (EPA) Air Transport state budget levels under the Cross-State Air Pollution Rule (CSAPR) for NOx emissions. Historical data include emissions from 'Total Electric Power Industry.' The estimated NOx emissions are determined by the type and quantity of fossil fuels consumed by power plants as well as the presence of pollution controls.
Source(s)
U.S. Energy Information Administration. Electric Power Annual. U.S. Electric Power Industry Estimated Emissions by State (EIA-767, EIA-906, EIA-920, and EIA-923).U.S. Environmental Protection Agency. Cross-State Air Pollution Rule (CSAPR) Resources for Implementation: Budgets, Variability Limits and State Assurance Levels.
Chart: NOx Emissions (thousand short tons)
Chart shows U.S. Environmental Protection Agency (EPA) Air Transport state budget levels under the Cross-State Air Pollution Rule (CSAPR) for NOx emissions. Historical data include emissions from 'Total Electric Power Industry.' The estimated NOx emissions are determined by the type and quantity of fossil fuels consumed by power plants as well as the presence of pollution controls.
Source(s)
U.S. Energy Information Administration. Electric Power Annual. U.S. Electric Power Industry Estimated Emissions by State (EIA-767, EIA-906, EIA-920, and EIA-923).U.S. Environmental Protection Agency. Cross-State Air Pollution Rule (CSAPR) Resources for Implementation: Budgets, Variability Limits and State Assurance Levels.
Chart: NOx Emissions Intensity (lbs NOx per MWh of electric generation)
To calculate emissions intensity, NOx emissions were divided by the amount of total electricity generated in each state or region.
Source(s)
U.S. Energy Information Administration. Electric Power Annual. Net Generation by State by Type of Producer by Energy Source (EIA-906, EIA-920, and EIA-923).U.S. Energy Information Administration. Electric Power Annual. U.S. Electric Power Industry Estimated Emissions by State (EIA-767, EIA-906, EIA-920, and EIA-923).
Chart: NOx Emissions Intensity (lbs NOx per MWh of fossil fuel- and biomass-fired electric generation)
To calculate emissions intensity, SO2 emissions were divided by the amount of coal- and oil-fired electricity generated in each state or region.
Source(s)
U.S. Energy Information Administration. Electric Power Annual. Net Generation by State by Type of Producer by Energy Source (EIA-906, EIA-920, and EIA-923).U.S. Energy Information Administration. Electric Power Annual. U.S. Electric Power Industry Estimated Emissions by State (EIA-767, EIA-906, EIA-920, and EIA-923).
Sulfur Dioxide (SO2)▲
Chart: SO2 Emissions from Electric Generation by State (thousand short tons)
Chart shows U.S. Environmental Protection Agency (EPA) Air Transport state budget levels under the Cross-State Air Pollution Rule (CSAPR) for NOx emissions. Historical data include emissions from 'Total Electric Power Industry.' The estimated NOx emissions are determined by the type and quantity of fossil fuels consumed by power plants as well as the presence of pollution controls.
Source(s)
U.S. Energy Information Administration. Electric Power Annual. U.S. Electric Power Industry Estimated Emissions by State (EIA-767, EIA-906, EIA-920, and EIA-923).U.S. Environmental Protection Agency. Cross-State Air Pollution Rule (CSAPR) Resources for Implementation: Budgets, Variability Limits and State Assurance Levels.
Chart: SO2 Emissions (thousand short tons)
Chart shows U.S. Environmental Protection Agency (EPA) Air Transport state budget levels under the Cross-State Air Pollution Rule (CSAPR) for NOx emissions. Historical data include emissions from 'Total Electric Power Industry.' The estimated NOx emissions are determined by the type and quantity of fossil fuels consumed by power plants as well as the presence of pollution controls.
Source(s)
U.S. Energy Information Administration. Electric Power Annual. U.S. Electric Power Industry Estimated Emissions by State (EIA-767, EIA-906, EIA-920, and EIA-923).U.S. Environmental Protection Agency. Cross-State Air Pollution Rule (CSAPR) Resources for Implementation: Budgets, Variability Limits and State Assurance Levels.
Chart: SO2 Emissions Intensity (lbs SO2 per MWh of electric generation)
To calculate emissions intensity, SO2 emissions were divided by the amount of total electricity generated in each state or region.
Source(s)
U.S. Energy Information Administration. Electric Power Annual. Net Generation by State by Type of Producer by Energy Source (EIA-906, EIA-920, and EIA-923).U.S. Energy Information Administration. Electric Power Annual. U.S. Electric Power Industry Estimated Emissions by State (EIA-767, EIA-906, EIA-920, and EIA-923).
Chart: SO2 Emissions Intensity (lbs SO2 per MWh of coal- and oil-fired electric generation)
To calculate emissions intensity, NOx emissions were divided by the amount of fossil fuel- and biomass-fired electricity generated in each state or region.
Source(s)
U.S. Energy Information Administration. Electric Power Annual. Net Generation by State by Type of Producer by Energy Source (EIA-906, EIA-920, and EIA-923).U.S. Energy Information Administration. Electric Power Annual. U.S. Electric Power Industry Estimated Emissions by State (EIA-767, EIA-906, EIA-920, and EIA-923).
Browse the list to the right to see answers to frequently asked questions about how to use the Power Almanac and the content it contains.
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General ▼
How often will the Almanac be updated?
The Power Almanac is a work in progress, and we have already identified additional data and functionality that we are excited to provide to our users in the future. We will also revise the existing content on the site as new information or updated versions of the data we use become available. Check back regularly for updates.
How do I print or save a part of the Almanac?
Many parts of the Power Almanac are printable or can be saved by using the "Print to PDF" function available on many computers. For best results when saving or printing the map, use the printer icons that you see on the Map, Key Questions, and References & Data pages. Remember, you may want to adjust your default print settings to improve the final result – maps, for example, print best in landscape orientation.
How can I share a suggestion for an improvement to the Power Almanac?
We look forward to hearing your thoughts and suggestions for the Power Almanac. Share them by sending us an email.
Map ▼
Why does the Almanac focus on certain power sources?
The power plant snapshot depicted when you select "All Sources" shows all power plants in the region greater than 25 MW regardless of their fuel type (the filtering options allow you to view all power plants down to 1 MW – see the next question for more information). Additional information can be found on the coal, combined heat and power, natural gas, solar, and wind resources in the region. Over time we intend to include detailed information on other sources, such as biomass.
I know there’s a power plant (or industrial facility, coal mine, etc.) at a certain location. Why isn’t it on the map?
There are a few reasons why the map may not show a particular facility. The facility that you do not see may be too new to have been included in the relevant data set (see "How recent is the data contained in the Almanac?"). Some data sets are also filtered by default. For example, when the Midwest or United States are selected, the map initially only shows power plants over 25 MW in capacity, the level at which many federal regulations affecting power generation begin to apply. You can see all power plants above 1MW of generating capacity by clicking on "More Options" in the Map Options menu and adjusting the "Generating Capacity" slider.
How can I get site-specific information on power plants, coal mines, CO2 storage sites, and other point data?
You can obtain additional information about individual power plants, coal mines, CO2 storage sites, and other point data by clicking on their location on the map. This will display a box with additional information on that particular site. To close this box, click on
in the top left corner of the box or click on another site.
Why can't I view certain different types of map data at the same time?
The Almanac provides several datasets that show a variety of information on the map for each resource or emission category. Most related data can be viewed at the same time (e.g., solar PV resource potential can be viewed along with PV installations).The Almanac, however, does not permit this for all data sets in order to enhance the user experience. For example, natural gas fields cannot be viewed with shale basins and plays in order to maximize the clarity and accuracy of the data on the map at any given time. If there are specific sets of map data that you think it would be helpful to show at the same time, please let us know.
I want to see just a portion of the data initially displayed for a given map selection. How do I change what is displayed?
Once you’ve made a selection in the exploration menu at the top of the map, the data you see can be controlled multiple ways. First, individual sets of map data can be turned on or off by checking or unchecking the boxes in the "Map Options" menu to the right of the map. Second, certain data sets allow for more fluid manipulation of what is displayed. Click "More Options" to see these additional filtering options for metrics such as generating capacity, facility age, and emissions. Note that these selections will not affect the charts displayed at the bottom of the map or the data in the "Facts and Figures" display.
How do I obtain more information about map data?
Clicking on
next to each entry in the "Map Options" menu will display notes describing the map and its data sources. Click on any of the data sources for a full description, including a link to the original data and the methods we used to prepare the data for the Almanac.
Can I change the background map like on a Google Map?
The Almanac is built on Google Maps, so you can use many of the map backgrounds you may be familiar with. Change the background by selecting an alternative scheme from the drop down menu in the top left corner of the map. The default is a gray map that provides high contrast with the Almanac’s map data. Other choices include Google Maps’ basic colored map scheme, a terrain map, and satellite images.
What does the "opacity" scrolling bar at the bottom of the Map Options box do?
This feature allows you to change the transparency of the map layers you’ve selected. Slide the bar to the right to make the map layers completely opaque, or slide the bar left to increase transparency and view map information (such as cities and roads) underneath. Data represented by an icon or circle, such as power plants and coal mines, are not affected by this transparency setting.
Charts ▼
How do I view charts for a specific resource or emission, or for a particular region or state?
The Almanac dynamically displays data on the map, the facts and figures display, and the scrolling charts bar based on your selections in the exploration menu located at the top of the map. Thus, the data displayed will reflect your selections for geographic region, energy source, and emissions. Most data is available at the state level, and will change based on the geographic selection. Where state data is not available, charts will continue to display regional or national-level data even when a state is selected. Each chart will indicate the relevant geographic area in its title.
When will the data in the charts be updated?
Please see the question "How often will the Almanac be updated?"
How do I switch between charts?
To close a chart, click on
at the top of each chart, or simply click anywere outside of the chart area, such as another chart, the exploration menu, or the map options menu.
Can I see the value of a data point shown in the charts?
Move your mouse over the section of the chart you are interested in or the relevant legend item to reveal the underlying data.
Where can I find more information about the charts, including their data sources?
At the bottom of each chart, you will find explanatory notes, as well as a list of the chart’s data sources. Click on any of the data sources for a full description, including a link to the original data and the methods we used to prepare the data for the Almanac.
Can I print charts?
Currently, printing of charts is not available. However, we do hope to provide this feature in the future. If this is a function you would find valuable, please let us know. For now, many of the charts you see on the map are also available as images on the Key Questions page. Right click on any of these images and select "Save as" to save one of these charts.
Key Questions ▼
How do I view the answer to a key question displayed on the Map Options bar?
To view the answer to a key question, click on the question you are interested in. You will be taken directly to the answer on the Key Questions page. The answers to all key questions contained in the Almanac are listed here for browsing by resource and emission categories.
When will the answers to the Key Questions be updated?
Please see the question "How often will the Almanac be updated?"
References & Data ▲
Where does the Power Almanac’s data come from? Can I download the data that are used on the site?
Data for the Power Almanac come from a variety of sources, primarily government agencies and laboratories such as the U.S. Environmental Protection Agency, the U.S. Department of Energy, the U.S. Geological Survey, and the National Renewable Energy Laboratory. In most cases, the same data we use on the site are publicly available for download, although we have sometimes filtered and collated that data. Full descriptions of our data sources and our methods for preparing the data for use in the Almanac are available on the References & Data page, along with links to the data sources.
How recent is the data that is displayed in the Almanac?
The Power Almanac pulls data from approximately 50 sources. Each of these sources is updated with different frequencies and at different times throughout the year. WRI and the Great Plains Institute will make every effort to update these sources as more recent data becomes available. If you know of alternative or more recent sources than those that are currently displayed, please let us know.