Energy data and map are from the California Energy Commission and include utilityscale power plants. Plants of any type below 1 MW (e.g. residential solar) are notincluded. Values shown are as of the end of the year. Hydroelectric plants of 30 MWand less are considered renewable energy sources in California. Hydroelectric plantsover 30 MW are non-renewable. Counties without pie symbols had no utility scalerenewable energy generation for the year. Data is for 2023 and is current as of July 2,2024. Projection: NAD 1983 (2011) California (Teale) Albers (Meters). For moreinformation, contact John Hingtgen at john.hingtgen@energy.ca.gov.

In 2020, the Spanish-based Acciona was the leading electric utility based on renewable capacity worldwide. About ** percent of Acciona’s total capacity was derived from renewable sources in 2020. That year, it operated about *** gigawatts of renewable capacity, including wind, hydro, solar, and biomass.

Renewable energy capacity

Acciona, a Spanish infrastructure conglomerate, was originally a construction and engineering company but began to invest in renewable energies about 20 years ago. Companies with the lowest share of renewable capacity tend to be located in fossil fuel producing countries such as South Africa, Poland, the United States, and Indonesia. Globally, the share of renewable sources in energy consumption is increasing. In 2018, renewable energy accounted for **** percent of the primary energy consumption worldwide. Renewable energy technologies accounted for almost ** percent of the new capacities added in 2014.

Largest Chinese electrical utility

China General Nuclear (CGN), a Chinese electric utility, had one of the largest renewable capacities in the world in 2020, totaling ** gigawatts. Utilities in China held a few of the top ten spots in terms of global renewable capacity during this year, largely due to their expansive hydropower usage and its rapidly growing solar market. Many of the country’s largest energy utilities have also increased their investment into wind energies, despite some connection problems. China’s electricity consumption has increased in recent years, reaching a total of ***** terawatt hours in 2020.

This dataset, compiled by NREL using data from ABB, the Velocity Suite (http://energymarketintel.com/) and the U.S. Energy Information Administration dataset 861 (http://www.eia.gov/electricity/data/eia861/), provides average residential, commercial and industrial electricity rates with likely zip codes for both investor owned utilities (IOU) and non-investor owned utilities. Note: the files include average rates for each utility (not average rates per zip code), but not the detailed rate structure data found in the OpenEI U.S. Utility Rate Database (https://openei.org/apps/USURDB/).

The Geospatial Information Systems (GIS) market for energy and utilities is booming, projected to reach $28 billion by 2033 with an 8% CAGR. Driven by smart grids, renewable energy, and improved asset management, this report analyzes market trends, key players (Esri, Autodesk, Precisely), and regional growth opportunities. Learn more about GIS for energy & utilities!

This data packet contains supply curves, hourly generation profiles, and a composite siting exclusion TIFF for utility-scale PV across the contiguous United States. The supply curves offer comprehensive metrics such as capacity (MW), generation (MWh), levelized cost of energy (LCOE), levelized cost of transmission (LCOT), and more for each reV site (~60,000 sites). Hourly generation profiles are available for each reV site and can be matched to the available capacity in the supply curve (refer to the Jupyter Notebook). The composite exclusion TIFF is a single file that delineates areas where PV installations are permissible based on various siting assumptions. This data packet contains information for the Reference and Limited siting scenarios.

For further details and citation, please refer to the publication linked below: Lopez, Anthony, Pavlo Pinchuk, Michael Gleason, Wesley Cole, Trieu Mai, Travis Williams, Owen Roberts, Marie Rivers, Mike Bannister, Sophie-Min Thomson, Gabe Zuckerman, and Brian Sergi. 2024. Solar Photovoltaics and Land-Based Wind Technical Potential and Supply Curves for the Contiguous United States: 2023 Edition. Golden, CO: National Renewable Energy Laboratory. NREL/TP-6A20-87843.

This database contains utility-scale solar projects in Virginia, along with other relevant information, including company name, acreage, capacity, positive/negative media coverage, positive/negative organizations, etc.

In 2020, China Energy Investment was the leading utility worldwide based on renewable energy capacity, with more than ** gigawatts installed. State Power Investment ranked second, with almost ** gigawatts. At the time, six of the top ten renewable electricity utilities were located in China.

Global utilities in the renewable energy industry – additional information

In 2020, about ** percent of Spain’s Acciona’s electricity capacity was generated from renewable sources, making it one of the leaders among global electricity utilities. While Chinese companies led the ranking in terms of installed capacity, European companies had the largest renewable contribution to the power mix. China General Nuclear was the only Chinese company to make the top 10 that year, generating about ** percent of its total electricity capacity from renewables. China General Nuclear operates nuclear plants in several locations across the country, with more facilities planned for the near future. Despite its name, the utility is also increasing its operations in renewable energy industries, including wind, solar, and hydroelectricity.

One of the largest electric utilities in the United States is NextEra Energy, with a market value of roughly *** billion U.S. dollars as of April 2021. NextEra is one of the largest wind owners in the United States. In the U.S., many Midwest utilities are beginning to use power purchase agreements to increase their hold in the wind industry, however, these utilities still tend to rely heavily on local coal resources.

Power plants with a capacity of at least 1 MW are included in totals. Counties with no
symbol have no utility-scale renewable electric generation. Distributed generation, such as
rooftop solar, is not included. Data is classified using Jenks Natural Breaks method.
Projection is WGS 1984 California (Teale) Alberts (US Feet). Data sources are the California
Energy Commission's Quarterly Fuel and Energy Report and the Wind Generation
Reporting System databases. Data provided is for the year 2024 and is current as of July
1, 2025. For further inquiries contact John Hingtgen at john.hingtgen@energy.ca.gov.

All local authorities will receive planning applications for renewable energy sites. Some local authorities have provided us with such data, from which we have selected only approved and/ or operational sites. We have also received separate files of data showing renwable energy sites - both as point and polygon, and we have attempted to merge all of this data together to form a national dataset.

United States Renewable Energy Market Outlook 2031

The United States renewable energy market size was USD XX Billion in 2022 and is likely to reach USD XX Billion by 2031, expanding at a CAGR of 10.1% during the forecast period, 2023–2031. The growth of the market is attributed to government policies and initiatives to fulfil increased electricity demand using renewable energy sources have been praised.



In 2020, United States electricity generated through renewable energy sources (such as wind, hydropower, solar, biomass, and geothermal energy) a record 834 billion kilowatt-hours (kWh) accounting for around 21% of all electricity generated in the US.

In the United States in 2020, only natural gas (1,617 billion kWh) produced more power than renewables. For the first time in history, renewables outperformed nuclear (790 billion kWh) and coal (774 billion kWh). This result in 2020 was mostly owing to a major reduction in coal use in energy generation in the United States, as well as constantly increasing use of wind and solar.



In 2007, coal-fired electricity output in the United States reached a high of 2,016 billion kWh, although much of that capacity has since been replaced or converted to natural gas-fired power.



Until 2016 coal was the greatest source of electricity in the US, and by 2020 was the first year when renewables and nuclear power provided more electricity than coal (according to our data series that dates back to 1949). Because many nuclear power plants retired and other nuclear facilities suffered slightly more maintenance-related interruptions, nuclear electric generation dropped by Two percent from 2019 to 2020.



With a 42 % rise between 2010 and 2020, renewable energy is the rapidly growing energy source in the United States from 2000 to 2020, it increased by 90%.



In 2020, renewables accounted for about 20% of utility-scale energy generation in the United States, with hydropower <str

Utility Renewable Generation by Type and County: 2022 Energy generation data and map are from the California Energy Commission and include utility scale power plants. Plants of any type below 1 MW (e.g residential solar) are not included. Hydroelectric plant of 30 MW and less are considered renewable energy sources in California. Hydroelectric plants over 30MW are non-renewable. Counties without pie symbols has no utility scale renewable electric generation for the year. Data is for 2022 and is current as of August 4, 2023. Projection: NAD 1983 (2011) California (Teale) Albers (Meters). For more information, contact Gordon Huang at (916) 477-0738 or John Hingtgen at (916) 510-9747.

Energy And Utility Analytics Market size was valued at USD 3.07 Billion in 2023 and is projected to reach USD 10.41 Billion by 2031, growing at a CAGR of 16.5% from 2024 to 2031.

Global Energy And Utility Analytics Market Drivers:

Increasing Energy Demand and Consumption Patterns: With global energy consumption steadily rising due to population growth and industrial expansion, there is an increased demand for effective energy management. Energy and utility analytics assist utilities identify and predict usage patterns, allowing for more accurate demand forecasts. This leads to improved resource allocation, less energy waste, and more efficient production schedules. Advanced analytics make it easier to integrate renewable energy sources into the grid, resulting in a dependable and balanced energy supply that fulfills expanding demand while being environmentally friendly.

Integration of Renewable Energy Sources: Environmental concerns and regulatory regulations are driving the transition to renewable energy sources such as solar, wind, and hydropower. Integrating these variable energy sources into the regular system presents substantial hurdles. Energy analytics helps to handle these complications by projecting renewable energy generation, optimizing storage systems, and guaranteeing grid stability. By evaluating weather patterns and historical data, utilities can better estimate renewable energy output and integrate it into traditional power systems.

This data packet contains supply curves, hourly generation profiles, and a composite siting exclusion TIFF for utility-scale PV across the contiguous United States. The supply curves offer comprehensive metrics such as capacity (MW), generation (MWh), levelized cost of energy (LCOE), levelized cost of transmission (LCOT), and more for each reV site (~60,000 sites). Hourly generation profiles are available for each reV site and can be matched to the available capacity in the supply curve (refer to the Jupyter Notebook). The composite exclusion TIFF is a single file that delineates areas where PV installations are permissible based on various siting assumptions. This data packet contains information for the Reference and Limited siting scenarios. The PV system cost and parameters were obtained from the Annual Technology Baseline (ATB) 2023.

For further details and citation, please refer to the publication linked below: Lopez, Anthony, Gabe Zuckerman, Pavlo Pinchuk, Michael Gleason, Marie Rivers, Owen Roberts, Travis Williams, Donna Heimiller, Sophie-Min Thomson, Trieu Mai, and Wesley Cole. 2025. Renewable Energy Technical Potential and Supply Curves for the Contiguous United States: 2024 Edition. Golden, CO: National Renewable Energy Laboratory. NREL/TP-6A20-91900.

The global clean energy market for utilities is booming, projected to reach $800 billion in 2025 and grow at a 7% CAGR through 2033. Discover key trends, leading companies, and regional market shares in this comprehensive analysis of renewable energy's impact on the utility sector.

The map depicts the amount of renewable energy production (gigawatt hours) for each county of California. The state-wide total is also given. The table depicts the amount of renewable energy production for each energy type for every county and a total summation is given. All data is for 2018 and for utility-scale purposes.

This data packet contains hourly generation profiles (representative profiles) for utility-scale PV across the contiguous United States. Hourly representative generation profiles are available for each reV supply curve site (~60,000 sites) which represents about 11.5 KM x 11.5 KM square envelope area. It contains capacity factor power profiles (AC) that can be linked directly to the capacity available in the supply curve. This data packet contains information for the reference scenario.

For further details and citation, please refer to the publication linked below: Lopez, Anthony, Gabriel R. Zuckerman, Pavlo Pinchuk, Michael Gleason, Marie Rivers, Owen Roberts, Travis Williams, Donna Heimiller, Sophie-Min Thomson, Trieu Mai, and Wesley Cole. Renewable Energy Technical Potential and Supply Curves for the Contiguous United States: 2024 Edition, Golden, CO: National Renewable Energy Laboratory (NREL), 2024. NREL/TP-6A20-91900

Global renewable energy certificate market was valued at US$ 15.38 Billion in 2024 and is set to reach US$ 233.81 Billion by 2034 at a CAGR of about 28.2%.

This map outlines the total renewable electrical generation in gigawatt-hours (GWh) for all counties in California for 2019. Sources below 1 megawatt (MW) were not included in this map. Counties without a symbol had no utility-scale (commercial) renewable electric generation installed. The table depicts the amount of renewable energy production for each energy type for every county. Data obtained from Quarterly Fuel and Energy Reports (QFER) and the Wind Performance Reporting System (WPRS) databases.

Electricity: Installed Capacity: Utilities: Renewable Energy Resources: Himachal Pradesh: Central data was reported at 1.000 MW in May 2026. This stayed constant from the previous number of 1.000 MW for Apr 2026. Electricity: Installed Capacity: Utilities: Renewable Energy Resources: Himachal Pradesh: Central data is updated monthly, averaging 0.000 MW from Jan 2008 (Median) to May 2026, with 221 observations. The data reached an all-time high of 1.000 MW in May 2026 and a record low of 0.000 MW in Jul 2025. Electricity: Installed Capacity: Utilities: Renewable Energy Resources: Himachal Pradesh: Central data remains active status in CEIC and is reported by Central Electricity Authority. The data is categorized under India Premium Database’s Energy Sector – Table IN.RBB: Electricity: Installed Capacity: Utilities: by State and Sector: Renewable Energy Resources.

The Utility Energy Registry (UER) is a database platform that provides streamlined public access to aggregated community-scale energy data. The UER is intended to promote and facilitate community-based energy planning and energy use awareness and engagement. On April 19, 2018, the New York State Public Service Commission (PSC) issued the Order Adopting the Utility Energy Registry under regulatory CASE 17-M-0315, and updated the protocol in a modification order on August 12, 2021. The order requires utilities and CCA administrators under its regulation to develop and report community energy use data to the UER. This dataset includes electricity and natural gas usage data reported at the city, town, and village level. Other UER datasets include energy use data reported at the county and ZIP code level.

Data in the UER can be used for several important purposes such as planning community energy programs, developing community greenhouse gas emissions inventories, and relating how certain energy projects and policies may affect a particular community. It is important to note that the data are subject to privacy screening and fields that fail the privacy screen are withheld.

The New York State Energy Research and Development Authority (NYSERDA) offers objective information and analysis, innovative programs, technical expertise, and support to help New Yorkers increase energy efficiency, save money, use renewable energy, and reduce reliance on fossil fuels. To learn more about NYSERDA’s programs, visit nyserda.ny.gov or follow us on X, Facebook, YouTube, or Instagram.