Utility Solar Generation and Capacity by Type and County Table: 2018

Utility Solar Generation and Capacity by Type and County Table: 2019

Map of 2019 Utility-Scale Solar Capacity by CountyThis map of California depicts the amount of utility scale solar generation capacity in each county (MW). This data is for 2019 and statewide totals are indicated.

Solar Footprints in CaliforniaThis GIS dataset consists of polygons that represent the footprints of solar powered electric generation facilities and related infrastructure in California called Solar Footprints. The _location of solar footprints was identified using other existing solar footprint datasets from various sources along with imagery interpretation. CEC staff reviewed footprints identified with imagery and digitized polygons to match the visual extent of each facility. Previous datasets of existing solar footprints used to locate solar facilities include: GIS Layers: (1) California Solar Footprints, (2) UC Berkeley Solar Points, (3) Kruitwagen et al. 2021, (4) BLM Renewable Project Facilities, (5) Quarterly Fuel and Energy Report (QFER)Imagery Datasets: Esri World Imagery, USGS National Agriculture Imagery Program (NAIP), 2020 SENTINEL 2 Satellite Imagery, 2023Solar facilities with large footprints such as parking lot solar, large rooftop solar, and ground solar were included in the solar footprint dataset. Small scale solar (approximately less than 0.5 acre) and residential footprints were not included. No other data was used in the production of these shapes. Definitions for the solar facilities identified via imagery are subjective and described as follows: Rooftop Solar: Solar arrays located on rooftops of large buildings. Parking lot Solar: Solar panels on parking lots roughly larger than 1 acre, or clusters of solar panels in adjacent parking lots. Ground Solar: Solar panels located on ground roughly larger than 1 acre, or large clusters of smaller scale footprints. Once all footprints identified by the above criteria were digitized for all California counties, the features were visually classified into ground, parking and rooftop categories. The features were also classified into rural and urban types using the 42 U.S. Code § 1490 definition for rural. In addition, the distance to the closest substation and the percentile category of this distance (e.g. 0-25th percentile, 25th-50th percentile) was also calculated. The coverage provided by this data set should not be assumed to be a complete accounting of solar footprints in California. Rather, this dataset represents an attempt to improve upon existing solar feature datasets and to update the inventory of "large" solar footprints via imagery, especially in recent years since previous datasets were published. This procedure produced a total solar project footprint of 150,250 acres. Attempts to classify these footprints and isolate the large utility-scale projects from the smaller rooftop solar projects identified in the data set is difficult. The data was gathered based on imagery, and project information that could link multiple adjacent solar footprints under one larger project is not known. However, partitioning all solar footprints that are at least partly outside of the techno-economic exclusions and greater than 7 acres yields a total footprint size of 133,493 acres. These can be approximated as utility-scale footprints. Metadata: (1) CBI Solar FootprintsAbstract: Conservation Biology Institute (CBI) created this dataset of solar footprints in California after it was found that no such dataset was publicly available at the time (Dec 2015-Jan 2016). This dataset is used to help identify where current ground based, mostly utility scale, solar facilities are being constructed and will be used in a larger landscape intactness model to help guide future development of renewable energy projects. The process of digitizing these footprints first began by utilizing an excel file from the California Energy Commission with lat/long coordinates of some of the older and bigger locations. After projecting those points and locating the facilities utilizing NAIP 2014 imagery, the developed area around each facility was digitized. While interpreting imagery, there were some instances where a fenced perimeter was clearly seen and was slightly larger than the actual footprint. For those cases the footprint followed the fenced perimeter since it limits wildlife movement through the area. In other instances, it was clear that the top soil had been scraped of any vegetation, even outside of the primary facility footprint. These footprints included the areas that were scraped within the fencing since, especially in desert systems, it has been near permanently altered. Other sources that guided the search for solar facilities included the Energy Justice Map, developed by the Energy Justice Network which can be found here:https://www.energyjustice.net/map/searchobject.php?gsMapsize=large&giCurrentpageiFacilityid;=1&gsTable;=facility&gsSearchtype;=advancedThe Solar Energy Industries Association’s “Project Location Map” which can be found here: https://www.seia.org/map/majorprojectsmap.phpalso assisted in locating newer facilities along with the "Power Plants" shapefile, updated in December 16th, 2015, downloaded from the U.S. Energy Information Administration located here:https://www.eia.gov/maps/layer_info-m.cfmThere were some facilities that were stumbled upon while searching for others, most of these are smaller scale sites located near farm infrastructure. Other sites were located by contacting counties that had solar developments within the county. Still, others were located by sleuthing around for proposals and company websites that had images of the completed facility. These helped to locate the most recently developed sites and these sites were digitized based on landmarks such as ditches, trees, roads and other permanent structures.Metadata: (2) UC Berkeley Solar PointsUC Berkeley report containing point _location for energy facilities across the United States.2022_utility-scale_solar_data_update.xlsm (live.com)Metadata: (3) Kruitwagen et al. 2021Abstract: Photovoltaic (PV) solar energy generating capacity has grown by 41 per cent per year since 2009. Energy system projections that mitigate climate change and aid universal energy access show a nearly ten-fold increase in PV solar energy generating capacity by 2040. Geospatial data describing the energy system are required to manage generation intermittency, mitigate climate change risks, and identify trade-offs with biodiversity, conservation and land protection priorities caused by the land-use and land-cover change necessary for PV deployment. Currently available inventories of solar generating capacity cannot fully address these needs. Here we provide a global inventory of commercial-, industrial- and utility-scale PV installations (that is, PV generating stations in excess of 10 kilowatts nameplate capacity) by using a longitudinal corpus of remote sensing imagery, machine learning and a large cloud computation infrastructure. We locate and verify 68,661 facilities, an increase of 432 per cent (in number of facilities) on previously available asset-level data. With the help of a hand-labelled test set, we estimate global installed generating capacity to be 423 gigawatts (−75/+77 gigawatts) at the end of 2018. Enrichment of our dataset with estimates of facility installation date, historic land-cover classification and proximity to vulnerable areas allows us to show that most of the PV solar energy facilities are sited on cropland, followed by arid lands and grassland. Our inventory could aid PV delivery aligned with the Sustainable Development GoalsEnergy Resource Land Use Planning - Kruitwagen_etal_Nature.pdf - All Documents (sharepoint.com)Metadata: (4) BLM Renewable ProjectTo identify renewable energy approved and pending lease areas on BLM administered lands. To provide information about solar and wind energy applications and completed projects within the State of California for analysis and display internally and externally. This feature class denotes "verified" renewable energy projects at the California State BLM Office, displayed in GIS. The term "Verified" refers to the GIS data being constructed at the California State Office, using the actual application/maps with legal descriptions obtained from the renewable energy company. https://www.blm.gov/wo/st/en/prog/energy/renewable_energy https://www.blm.gov/style/medialib/blm/wo/MINERALS_REALTY_AND_RESOURCE_PROTECTION_/energy/solar_and_wind.Par.70101.File.dat/Public%20Webinar%20Dec%203%202014%20-%20Solar%20and%20Wind%20Regulations.pdfBLM CA Renewable Energy Projects | BLM GBP Hub (arcgis.com)Metadata: (5) Quarterly Fuel and Energy Report (QFER) California Power Plants - Overview (arcgis.com)

Solar photovoltaic (PV) energy is a large component of meeting New Jersey's clean energy goals. With more than 3.3 gigawatts (GW) of installed solar PV capacity, New Jersey is currently ranked in the top 10 nationwide. This interactive dashboard was created by the NJDEP’s Bureau of Climate Change & Clean Energy and provides a summary of solar PV installations in New Jersey's counties. For each county, the following data is available in the dashboard:Total number of solar installationsTotal installed capacityBreakdown of installation type (i.e. Residential, Non-Residential, and Grid Supply) Percentage of installed solar capacity (total, residential, non-residential, and grid supply)For an in depth analysis of the installed solar PV in each county, one or more counties can be selected in the map (using the select tool) or by clicking the corresponding county or counties in the bar graph. Doing so will filter all of the widgets in the dashboard based on the user's selection. The underlying data for this dashboard is published monthly via the New Jersey Board of Public Utilities Solar Activity Reports. Visit the NJBPU's Clean Energy Program website for more information on programs to increase clean energy and/or improve the energy efficiency of your home or business.

Solar photovoltaic (PV) energy is a large component of meeting New Jersey's clean energy goals. With more than 3.2 gigawatts (GW) of installed solar PV capacity, New Jersey is currently ranked in the top 10 nationwide. This interactive dashboard was created by the NJDEP’s Bureau of Climate Change & Clean Energy and provides a summary of solar PV installations in New Jersey's counties. For each county, the following data is available in the dashboard:Total number of solar installationsTotal installed capacityBreakdown of installation type (i.e. Residential, Non-Residential, and Grid Supply) Percentage of installed solar capacity (total, residential, non-residential, and grid supply)For an in depth analysis of the installed solar PV in each county, one or more counties can be selected in the map (using the select tool) or by clicking the corresponding county or counties in the bar graph. Doing so will filter all of the widgets in the dashboard based on the user's selection. The underlying data for this dashboard is published monthly via the New Jersey Board of Public Utilities Solar Activity Reports. Visit the NJBPU's Clean Energy Program website for more information on programs to increase clean energy and/or improve the energy efficiency of your home or business.

Energy generation data and map are from the Quarterly Fuel and Energy Reporting Form CEC-1304B and the California Energy Commission. Map depicts distributed solar photovoltaic capacity (with nameplate capacity of 1,000 kW or less). Data is from December 2021 and is current as of August 18, 2022. Projection: NAD 1983 (2011) California (Teale) Albers (Meters). For more information, contact Rebecca Vail at (916) 477-0738 or John Hingtgen at (916) 510-9747.

This map shows the count and percentage of occupied housing units that is heated mostly by solar energy (i.e., percent of non-vacant housing units that use heat provided by sunlight that is collected, stored, and actively distributed to most of the rooms). Map opens in Hawaii and California at county-level, but zoom in for tract-level map / zoom out for state-level. Breakdown by owner/renter in pop-up:Map has national coverage. If a county or tract has an estimated 0 households using solar, that county/tract is filtered out from appearing in the map.This map uses these hosted feature layers containing the most recent American Community Survey data. These layers are part of the ArcGIS Living Atlas, and are updated every year when the American Community Survey releases new estimates, so values in the map always reflect the newest data available.

This dataset is based on solar interconnection data drawn from the publicly posted inventories of New York State’s electric utilities. This dataset represents the most comprehensive source of installed distributed solar projects, including projects that did not receive State funding, for all of New York State since 2000. This dataset does not include utility-scale projects that participate in the NYISO wholesale market. The interactive map at https://www.nyserda.ny.gov/All-Programs/Programs/NY-Sun/Solar-Data-Maps/Statewide-Projects provides information on Statewide Distributed Solar Projects since 2000 by county. 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.

This dataset identifies counties and municipalities that had a solar energy ban or moratorium as of April 2022. A TIF data file and a PNG map of the data are provided, showing areas where solar energy bans or moratoriums exist across the contiguous United States. 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.

Solar electrical generation data is reported for commercial power plants: those with a nameplate capacity of 1 MW or more. Counties in gray reported no generation in 2020. San Bernardino and Riverside county had solar thermal electric generation. Map and data from the California Energy Commission. Data is classified using the Jenk’s Natural Break’s method. Data is current as of November 22, 2021. Contact Rebecca Vail at (916)651- 0477 or John Hingtgen at (916) 510-9747 with questions.

United States Solar Energy Panel Market was valued at USD 18.5 billion in 2023 and is anticipated to project robust growth in the forecast period with a CAGR of 20.7% through 2029.

Pages	86
Market Size	USD 18.5 Billion
Forecast Market Size	USD 57.72 Billion
CAGR	20.7%
Fastest Growing Segment	Commercial
Largest Market	West US
Key Players	1. First Solar, Inc. 2. SunPower Corporation 3. Sunrun Inc. 4. Canadian Solar Inc. 5. JinkoSolar Holding Co., Ltd. 6. Trina Solar Limited 7. Hanwha Q CELLS Co., Ltd. 8. LONGi Solar Technology Inc.

Global Solar Panels Market was valued at USD 163.08 billion in 2023 and is anticipated to project robust growth in the forecast period with a CAGR of 27.19% through 2029.

Pages	181
Market Size	2023: USD 163.08 Billion
Forecast Market Size	2029: USD 696.64 Billion
CAGR	2024-2029: 27.19%
Fastest Growing Segment	On-Grid
Largest Market	Asia Pacific
Key Players	1. LONGi Green Energy Technology Co. Ltd 2. JinkoSolar Holding Co., Ltd. 3. First Solar, Inc. 4. Canadian Solar Inc. 5. Trina Solar Co. Ltd. 6. JA Solar Holdings Co., Ltd. 7. Hanwha Q CELLS Co., Ltd. 8. SunPower Corporation 9. GCL Technology Holdings Ltd. 10. Renhe Commercial Holdings Co., Ltd.

The Global Solar Energy Glass Market was valued at USD 5.07 Billion in 2024 and is expected to reach USD 10.82 Billion by 2030 with a CAGR of 13.30% during the forecast period.

Pages	188
Market Size	2024: USD 5.07 Billion
Forecast Market Size	2030: USD 10.82 Billion
CAGR	2025-2030: 13.30%
Fastest Growing Segment	Tempered Glass
Largest Market	North America
Key Players	1. Onyx Solar Group LLC 2. Shenzhen Topray Solar Co., Ltd 3. Borosil Group 4. Trinasolar Co., Ltd. 5. JA Solar Holdings Co., Ltd. 6. Sharp Corporation 7. Bright Solar Limited 8. Suntech Power Holdings Co., Ltd. 9. GruppoSTG 10. Polysolar Ltd

This scatter chart displays lowest price against opening price. The data is filtered where the stock is SOLAR-B.CO and the date is the 21st of March 2025. The data is about stocks per day.

The global solar district heating market is projected to grow from USD 3.06 billion in 2025 to USD 5.5 billion by 2035, reflecting a CAGR of 6.1% over the forecast period.

Metric	Value
Industry Size (2025E)	USD 3.06 billion
Industry Value (2035F)	USD 5.5 billion
CAGR (2025 to 2035)	6.1%

Analyzing Solar District Heating Market by Top Investment Segments

System Segment	CAGR (2025 to 2035)
Large Systems	6.5%

Configuration Segment	CAGR (2025 to 2035)
Centralized	6.4%

Application Segment	CAGR (2025 to 2035)
Residential	6.6%

Capacity Segment	CAGR (2025 to 2035)
Large Scale	6.7%

This document features a map of California that contains a pie-chart for each county depicting the proportion of each renewable energy resource used to generate electricity for utility purposes. The types of renewable energy are biomass, geothermal, small hydropower, solar photovoltaic, solar thermal and wind. The same data, along with the total electrical generation (gigawatt hours) of each county, is presented in tabular format on the second page of the document. The statewide total electrical generation from renewable resources is given, as well as the totals for each energy type.

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.

The Fixed Tilt Solar PV Market was valued at USD 2.34 Billion in 2024 and is expected to reach USD 4.35 Billion by 2030 with a CAGR of 10.74%.

Pages	180
Market Size	2024: USD 2.34 Billion
Forecast Market Size	2030: USD 4.35 Billion
CAGR	2025-2030: 10.74%
Fastest Growing Segment	Commercial
Largest Market	North America
Key Players	1. First Solar, Inc. 2. WTWH Media, LLC 3. JUWI GmbH 4. Wuxi Suntech Power Co., Ltd. 5. Activ Solar GmbH 6. Sharp Corporation 7. JinkoSolar Holding Co., Ltd. 8. Trinasolar 9. Yingli Solar 10. UNIRAC Inc.

Map of 2019 Utility-Scale Solar Generation by County

This map of California depicts the amount of solar Utility-Scale Solar Generation by county (GWh). This data is for 2019 and statewide totals are indicated.