CDFW BIOS GIS Dataset, Contact: CEC California Energy Commission (CEC), Description: Environmentally sensitive areas and areas with land uses/ownership that may restrict renewable energy project and transmission infrastructure development. From Black & Veatch consultants via the California Energy Commission for the RETI process.

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!

Discover the booming solar resource assessment software market! Our analysis reveals a $250 million market in 2025, growing at a 12% CAGR to 2033. Learn about key trends, leading companies like SolarGIS and Solargis, and regional market share data for North America, Europe, and more. Invest wisely in the renewable energy revolution.

From Databasin: https://drecp.databasin.org/datasets/c61b0e256e494fc5b6958d6c3999a19a/Development Focus Areas (DFAs). Designation on BLM-administered lands within which solar, wind, and geothermal renewable energy development and associated activities are allowable uses and that have been determined to be of low or lower resource conflict. The intent is to incentivize and streamline such development in these areas.Variance Process Lands (VPLs). Designation on BLM-administered lands that are available for solar, wind, and geothermal renewable energy development. Renewable energy projects on VPLs have minimal streamlining and must comply with a specific set of CMAs. Renewable energy applications in VPLs will follow the variance process described in the Western Solar Plan ROD.

Generation is from in-state renewable generators of at least 1 MW. Renewables include biomass, solar, wind, geothermal, and small hydro. Small hydro includes plants of 30 MW or less,(designated as renewable in California).Generation does not include imports from other states. End use does not include losses in transmission and distribution. Projection: WGS1984 Web Mercator (auxiliary sphere). Data source: California Energy Commission. Data is for2020 and current as of June 30, 2022. Contact Rebecca Vail at (916) 477-0738, or John Hingtgen at (916) 510-9747 for more information.

The transition to renewable energy is crucial for addressing pollution and greenhouse gas emissions from activities like electricity generation and transportation. However, the distribution of energy resources varies geographically and temporally, necessitating measurement and estimation to optimize production. While previous studies have examined renewable resources in isolation or as complementary, this paper uses a scoring system to evaluate renewable energy potential. Focusing on Northern Mexico, the paper assesses solar and wind power resources using data from the Servicio Meteorológico Nacional's automatic weather stations. Wind power density (WPD) was calculated from average wind speeds, and solar irradiance data were processed similarly to derive average values. Interpolation of resources availability was conducted using Inverse Distance Weighting (IDW), normalizing scores based on measured and maximum values. The study area includes Tamaulipas, Nuevo León, Coahuila, Chihuahua, and Sonora. Results show that northern Chihuahua and northwest Sonora have the highest WPD and solar irradiance, with central Nuevo León exhibiting the highest average irradiance. Overall, Chihuahua and Sonora scored highest in energy resource availability. This evaluation provides a valuable basis for policymakers and companies considering renewable energy projects in these regions.

Supplementary files for article "A whole island approach to scoping renewable energy sites and yields"Island communities are particularly vulnerable to climate change and energy in?security; renewable energy can counter both threats. This study takes a whole is?land approach to scoping wind and solar energy potential. The Isle of Man (IOM) was selected because of the limited development of renewables to date, plus high reliance on energy imports. Potential sites for renewables development were eval?uated using social, environmental, technical, economic and political factors in a combined Geographic Information System (GIS)-multi-criteria decision analy?sis (MCDA). We find that 9% of the island is highly suitable for onshore wind development, and 2% for solar photovoltaic. These areas could potentially yield 107MW from onshore wind and 150MW from solar. Roof top and floating solar could add a further 30MW, and offshore wind 497MW. The total wind and solar renewables potential of onshore and offshore sites of 784MW is much greater than the historical (85MW) and projected (131MW) demand by 2050. Hence, our first stage estimates suggest that combinations of renewables could signifi?cantly improve energy security and even support energy exports from the IOM. The demonstrated GIS-MCDA modelling offers a tool for scoping the resource potential of other energy-import dependent islands.© The Author(s). CC BY 4.0

MetadataThese data represent the offshore wind leases within the U.S. Outer Continental Shelf (OCS) - federally managed waters within the U.S. Exclusive Economic Zone (EEZ) - managed by the Bureau of Ocean Energy Management. State leases are managed by individual state leasing authorities. The data show Individual blocks and sub-blocks, commercial, research, and right of way lease areas. Leases are considered provisional after auction, prior to signatures from BOEM and the Lessee.

This dataset was developed by the National Renewable Energy Laboratory (NREL) for the U.S. Agency for International Development's (USAID) South Asia Regional Initiative for Energy Cooperation (SARI/E). The dataset contains Wind Power Density at 50-m Above Ground Level in the form of a GIS shapefile. The data were output in Geographic Information Systems (GIS) format and incorporated into a Geospatial Toolkit (GsT) which is provided in data resources. The GsT allows the user to examine the resource data in a geospatial context along with other key information relevant to renewable energy development, such as transportation networks, transmission corridors, existing power facilities, load centers, terrain conditions, and land use.

This dataset contains information about the biomass resources generated by county in the United States. It includes the following feedstock categories: crop residues, forest residues, primary mill residues, secondary mill residues, and urban wood waste. The estimates are based on county-level statistics and/or point-source data gathered from the U.S. Department of Agriculture (USDA), USDA Forest Service, EPA and other organizations, which are further processed using relevant assumptions and conversions.

Estimate the potential for producing hydrogen from key renewable resources (onshore wind, solar photovoltaic, and biomass) by county for the United States. This study was conducted to estimate the potential for producing hydrogen from key renewable resources (onshore wind, solar photovoltaic, and biomass) by county in the United States and to create maps that allow the reader to easily visualize the results. To accomplish this objective, the authors analyzed renewable resource data both statistically and graphically utilizing a state-of-the-art Geographic Information System (GIS), a computer-based information system used to create and visualize geographic information.

Land-use and environmental exclusions were applied to represent the most viable resources across the country. While wind, solar, and biomass are considered major renewable resources, other renewable energy resources could also be used for hydrogen production, thus contributing to hydrogen development locally and regionally. These additional resources include offshore wind, concentrating solar power, geothermal, hydropower, photoelectrochemical, and photobiological resources.

This study found that approximately 1 billion metric tons of hydrogen could be produced annually from wind, solar, and biomass resources in the United States. The greatest potential for producing hydrogen from these key renewable resources is in the Great Plains region. In addition, this research suggests that renewable hydrogen has the potential to displace gasoline consumption in most states if and when a number of technical and scientific barriers can be overcome.

License Info

This GIS data was developed by the National Renewable Energy Laboratory ("NREL"), which is operated by the Alliance for Sustainable Energy, LLC for the U.S. Department of Energy ("DOE"). The user is granted the right, without any fee or cost, to use, copy, modify, alter, enhance and distribute this data for any purpose whatsoever, provided that this entire notice appears in all copies of the data. Further, the user of this data agrees to credit NREL in any publications or software that incorporate or use the data.

Access to and use of the GIS data shall further impose the following obligations on the User. The names DOE/NREL may not be used in any advertising or publicity to endorse or promote any product or commercial entity using or incorporating the GIS data unless specific written authorization is obtained from DOE/NREL. The User also understands that DOE/NREL shall not be obligated to provide updates, support, consulting, training or assistance of any kind whatsoever with regard to the use of the GIS data.

THE GIS DATA IS PROVIDED "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL DOE/NREL BE LIABLE FOR ANY SPECIAL, INDIRECT OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER, INCLUDING BUT NOT LIMITED TO CLAIMS ASSOCIATED WITH THE LOSS OF DATA OR PROFITS, WHICH MAY RESULT FROM AN ACTION IN CONTRACT, NEGLIGENCE OR OTHER TORTIOUS CLAIM THAT ARISES OUT OF OR IN CONNECTION WITH THE ACCESS OR USE OF THE GIS DATA.

The User acknowledges that access to the GIS data is subject to U.S. Export laws and regulations and any use or transfer of the GIS data must be authorized under those regulations. The User shall not use, distribute, transfer, or transmit GIS data or any products incorporating the GIS data except in compliance with U.S. export regulations. If requested by DOE/NREL, the User agrees to sign written assurances and other export-related documentation as may be required to comply with U.S. export regulations.

All renewable energy developments in Argyll and Bute, by type (e.g. windfarms, hydro-electric, tidal, biomass, solar, etc.), scale, status and for a specific location.

Power plants with a capacity of at least 1 MW are included in totals. Counties with nosymbol have no utility-scale renewable electric generation. Distributed generation, such asrooftop 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 CaliforniaEnergy Commission's Quarterly Fuel and Energy Report and the Wind GenerationReporting System databases. Data provided is for the year 2024 and is current as of July1, 2025. For further inquiries contact John Hingtgen at john.hingtgen@energy.ca.gov.

Many countries worldwide integrate renewable energy systems (RES) in their future energy plans to reduce the negative impacts of fossil fuel consumption and carbon emissions on the environment and have focused on sustainable energy options. The current need and challenges to use alternative energy sources are driven by the continued rise in fossil fuel prices, increasing population and migration, and energy demand, mainly in developing countries, such as South Africa. In addition, the continuous increase in energy demand, global warming, and other environmental problems related to the negative impact of using fossil fuels have raised severe global challenges. The solar, wind, hydro, and biomass resources and their potential to provide alternative energy sources have not been sufficiently utilised. As a result, RES is increasingly being considered as a potential solution for sustainable energy production and reduction of negative environmental impact. To obtain the suitable potentials, it is essential to assess, estimate, and model renewable energy resources in different locations to provide energy end-users, communities, the private sector, and decision makers with accurate, evaluated, and validated data to promote the construction of solar, wind, hydro, and biomass/bioenergy power plants. Furthermore, identifying suitable locations, the available capacity of renewable energy facilities, influencing factors of renewable energy development, and consumption play an essential role in planning renewable energy plants.The use of remote sensing (RS) technology and GIS tools enable detailed assessment, modelling, and quantification of RES distribution, abundance, and quality that yield an effective and efficient use of available potential. Therefore, determining the optimal locations, capacity and identifying the spatial influencing factors are essential in developing a scientific planning strategy with validated data. This research aims to create a GIS framework for evaluating alternative locations for wind, solar, biomass, biofuels, and hybrid power plants for suitable rural energy deployment. As renewable energy planning is essential, the model will be a valuable tool for decision support in spatial selection and explicit location planning strategies.In this study, the available energy potential measurements were developed using GIS and RS mappings as tools to assess renewable energy potentials in the Vhembe District Municipality from the perspective of spatial planning. The study's specific aims are to quantify and map the wind, solar, hydro, and bioenergy potential from a theoretical level, as well as environmental restrictions, and to analyse the suitability of the location for small power plants.For other regions, the proposed decision support methodology provides a multi-purpose approach for a complex exploration of RES potentials and their exploitation under specific environments and conditions. As a result, the methodology employed in this study can be used in other study areas to assess renewable energy potential in identifying new profitable regions based on the land suitability results that integrate spatial information from remote sensing. Lastly, from the results produced, the available potential can be used in the mapping process in other regions.

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.

Renewable Generation as a Fraction of Electricity End Use by CountyMap of Renewable Generation as a Fraction of Electricity End Use by County.

Power plants of at least 1 MW are required to report data. Counties in gray had no utility-scale (commercial) renewable electric generation. Distributed generation (for example,rooftop solar) is not included. Data is classified using the Jenk's Natural Breaks method.Projection: WGS 1984 California (Teale) Alberts (US Feet). Data Sources: California EnergyCommission. Energy production data is from the Quarterly Fuel and Energy Report, andthe Wind Performance Reporting System databases. Data is for 2020 and is current as ofNovember 8, 2021. For more information, please contact Rebecca Vail at (916) 477-0738or John Hingtgen at (916) 510-9747.

The Gas Insulated Switchgear (GIS) Terminal market is experiencing robust growth, driven by the increasing demand for reliable and efficient power transmission and distribution infrastructure globally. The expanding smart grid initiatives, coupled with the need for enhanced grid stability and resilience in the face of extreme weather events and growing energy consumption, are significant catalysts. The market's expansion is further fueled by the rising adoption of renewable energy sources, which often require advanced GIS technology for efficient integration into existing grids. Major players like Siemens, ABB, and Schneider Electric are actively investing in research and development, leading to technological advancements in GIS Terminals, including improved insulation materials, compact designs, and enhanced monitoring capabilities. This innovation drives cost-effectiveness and improved operational efficiency, making GIS Terminals a preferred choice for utilities and industrial applications. The market segmentation reveals a diverse landscape, with various terminal types catering to specific application needs. Regional variations in market growth are expected, influenced by factors such as infrastructure development plans, government policies promoting grid modernization, and the pace of renewable energy integration. While challenges remain, such as high initial investment costs and the need for specialized installation expertise, the long-term benefits of improved reliability, reduced maintenance, and enhanced safety outweigh these concerns. The forecast period (2025-2033) anticipates sustained growth, driven by continued investments in grid infrastructure and the ongoing global energy transition. Based on a reasonable estimation considering industry trends and the listed companies, the market is projected to reach approximately $15 Billion by 2033, showcasing a significant potential for growth and investment within the energy sector.

{"Abstract Background The transition to renewable energy is crucial for decarbonising the energy system but creates land-use competition. Whilst there is consensus on the need for local responsibility in achieving climate neutrality, debates continue over where to implement renewable energy plants. The Public Participation Geographic Information System (PPGIS) scenario approach can facilitate these debates and improve equity and procedural and distributive justice. Results The findings highlight the effectiveness of the PPGIS method in assessing the spatial impact of technologies on agriculture and landscapes. The approach was tested in a rural German municipality to help stakeholders and citizens recognise the potential for land-based solar energy even under strict constraints. These insights were shared to support decision-makers on land-use changes to increase renewable energy production. Conclusions The findings indicate that the PPGIS scenario approach is valuable for improving equity and mutual understanding in local decision-making processes. Incorporating stakeholders’ and citizens’ perspectives into renewable energy planning enhances the transparency, legitimacy, and acceptability of land-use decisions. The ability to visualise and quantitatively assess different scenarios makes PPGIS particularly useful for addressing the complexities of public debates on land-use requirements for renewable energy systems."}

The Bureau of Land Management continues its work on environmentally responsible development of utility-scale renewable energy projects on public lands as part of its effort to diversify the Nation's energy portfolio.