100+ datasets found
  1. T

    Solar Energy Index - Price Data

    • tradingeconomics.com
    • tr.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Feb 1, 2001
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    TRADING ECONOMICS (2001). Solar Energy Index - Price Data [Dataset]. https://tradingeconomics.com/commodity/solar
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    xml, csv, json, excelAvailable download formats
    Dataset updated
    Feb 1, 2001
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Apr 15, 2008 - Jun 24, 2025
    Area covered
    World
    Description

    Solar Energy Index rose to 32.26 USD on June 24, 2025, up 0.31% from the previous day. Over the past month, Solar Energy Index's price has risen 1.00%, but it is still 23.41% lower than a year ago, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. This dataset includes a chart with historical data for Solar Energy Index.

  2. Solar power generation in the U.S. 2000-2024

    • statista.com
    Updated May 19, 2025
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    Statista (2025). Solar power generation in the U.S. 2000-2024 [Dataset]. https://www.statista.com/statistics/183447/us-energy-generation-from-solar-sources-from-2000/
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    Dataset updated
    May 19, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In 2024, net solar power generation in the United States reached its highest point yet at 218.5 terawatt hours of solar thermal and photovoltaic (PV) power. Solar power generation has increased drastically over the past two decades, especially since 2011, when it hovered just below two terawatt hours. The U.S. solar industry In the United States, an exceptionally high number of solar-related jobs are based in California. With a boost from state legislation, California has long been a forerunner in solar technology. In the second quarter of 2024, it had a cumulative solar PV capacity of more than 48 gigawatts. Outside of California, Texas, Florida, and North Carolina were the states with the largest solar PV capacity. Clean energy in the U.S. In recent years, solar power generation has seen more rapid growth than wind power in the United States. However, among renewables used for electricity, wind has been a more common and substantial source for the past decade. Wind power surpassed conventional hydropower as the largest source of renewable electricity in 2019. While there are major environmental costs often associated with the construction and operation of large hydropower facilities, hydro remains a vital source of electricity generation for the United States.

  3. T

    Solar Energy Index - Index Price | Live Quote | Historical Chart

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Jun 17, 2021
    + more versions
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    TRADING ECONOMICS (2021). Solar Energy Index - Index Price | Live Quote | Historical Chart [Dataset]. https://tradingeconomics.com/solarntr:ind
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    csv, excel, xml, jsonAvailable download formats
    Dataset updated
    Jun 17, 2021
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 2000 - Apr 22, 2025
    Description

    Prices for Solar Energy Index including live quotes, historical charts and news. Solar Energy Index was last updated by Trading Economics this April 22 of 2025.

  4. c

    Renewable energy; consumption by energy source, technology and application

    • cbs.nl
    • ckan.mobidatalab.eu
    • +3more
    xml
    Updated Jun 6, 2025
    + more versions
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    Centraal Bureau voor de Statistiek (2025). Renewable energy; consumption by energy source, technology and application [Dataset]. https://www.cbs.nl/en-gb/figures/detail/84917ENG
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    xmlAvailable download formats
    Dataset updated
    Jun 6, 2025
    Dataset authored and provided by
    Centraal Bureau voor de Statistiek
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    1990 - 2024
    Area covered
    The Netherlands
    Description

    This table expresses the use of renewable energy as gross final consumption of energy. Figures are presented in an absolute way, as well as related to the total energy use in the Netherlands. The total gross final energy consumption in the Netherlands (the denominator used to calculate the percentage of renewable energy per ‘Energy sources and techniques’) can be found in the table as ‘Total, including non-renewables’ and Energy application ‘Total’. The gross final energy consumption for the energy applications ‘Electricity’ and ‘Heat’ are also available. With these figures the percentages of the different energy sources and applications can be calculated; these values are not available in this table. The gross final energy consumption for ‘Transport’ is not available because of the complexity to calculate this. More information on this can be found in the yearly publication ‘Hernieuwbare energie in Nederland’.

    Renewable energy is energy from wind, hydro power, the sun, the earth, heat from outdoor air and biomass. This is energy from natural processes that is replenished constantly.

    The figures are broken down into energy source/technique and into energy application (electricity, heat and transport).

    This table focuses on the share of renewable energy according to the EU Renewable Energy Directive. Under this directive, countries can apply an administrative transfer by purchasing renewable energy from countries that have consumed more renewable energy than the agreed target. For 2020, the Netherlands has implemented such a transfer by purchasing renewable energy from Denmark. This transfer has been made visible in this table as a separate energy source/technique and two totals are included; a total with statistical transfer and a total without statistical transfer.

    Figures for 2020 and before were calculated based on RED I; in accordance with Eurostat these figures will not be modified anymore. Inconsistencies with other tables undergoing updates may occur.

    Data available from: 1990

    Status of the figures: This table contains definite figures up to and including 2022, figures for 2023 are revised provisional figures and figures for 2024 are provisional.

    Changes as of june 2025: Figures for 2024 have been added.

    Changes as of January 2025 Renewable cooling has been added as Energy source and technique from 2021 onwards, in accordance with RED II. Figures for 2020 and earlier follow RED I definitions, renewable cooling isn’t a part of these definitions.
    The energy application “Heat” has been renamed to “Heating and cooling”, in accordance with RED II definitions. RED II is the current Renewable Energy Directive which entered into force in 2021

    Changes as of November 15th 2024 Figures for 2021-2023 have been adjusted. 2022 is now definitive, 2023 stays revised provisional. Because of new insights for windmills regarding own electricity use and capacity, figures on 2021 have been revised.

    Changes as of March 2024: Figures of the total energy applications of biogas, co-digestion of manure and other biogas have been restored for 2021 and 2022. The final energy consumption of non-compliant biogas (according to RED II) was wrongly included in the total final consumption of these types of biogas. Figures of total biogas, total biomass and total renewable energy were not influenced by this and therefore not adjusted.

    When will new figures be published? Provisional figures on the gross final consumption of renewable energy in broad outlines for the previous year are published each year in June. Revised provisional figures for the previous year appear each year in June.

    In November all figures on the consumption of renewable energy in the previous year will be published. These figures remain revised provisional, definite figures appear in November two years after the reporting year. Most important (expected) changes between revised provisional figures in November and definite figures a year later are the figures on solar photovoltaic energy. The figures on the share of total energy consumption in the Netherlands could also still be changed by the availability of adjusted figures on total energy consumption.

  5. Solar Footprints in California

    • catalog.data.gov
    • data.ca.gov
    • +5more
    Updated Nov 27, 2024
    + more versions
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    California Energy Commission (2024). Solar Footprints in California [Dataset]. https://catalog.data.gov/dataset/solar-footprints-in-california-6251a
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    Dataset updated
    Nov 27, 2024
    Dataset provided by
    California Energy Commissionhttp://www.energy.ca.gov/
    Area covered
    California
    Description

    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)

  6. T

    Mexico - Renewable Energy Consumption (% Of Total Final Energy Consumption)

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Jun 4, 2017
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    TRADING ECONOMICS (2017). Mexico - Renewable Energy Consumption (% Of Total Final Energy Consumption) [Dataset]. https://tradingeconomics.com/mexico/renewable-energy-consumption-wb-data.html
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    csv, xml, json, excelAvailable download formats
    Dataset updated
    Jun 4, 2017
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    Mexico
    Description

    Renewable energy consumption (% of total final energy consumption) in Mexico was reported at 13 % in 2021, according to the World Bank collection of development indicators, compiled from officially recognized sources. Mexico - Renewable energy consumption (% of total final energy consumption) - actual values, historical data, forecasts and projections were sourced from the World Bank on June of 2025.

  7. a

    Wildlife and Habitat Risk Map for Solar Energy Projects

    • hub.arcgis.com
    • gis-fws.opendata.arcgis.com
    Updated Sep 25, 2023
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    U.S. Fish & Wildlife Service (2023). Wildlife and Habitat Risk Map for Solar Energy Projects [Dataset]. https://hub.arcgis.com/maps/cd3c76e7ac694e46ad8444a9ac91e21f
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    Dataset updated
    Sep 25, 2023
    Dataset authored and provided by
    U.S. Fish & Wildlife Service
    Area covered
    Description

    In collaboration with the Mississippi Department of Wildlife, Fisheries, and Parks Natural Heritage Program, the U.S. Fish and Wildlife Service (Service) developed the Mississippi Solar Siting Tool to provide stakeholders the general guidance necessary to reduce potential adverse impacts to sensitive habitats and species in Mississippi when siting proposed solar energy projects. The purpose of the map is to assist solar energy developers in screening environmentally sensitive areas compared to areas where lower environmental impacts are anticipated. The decision framework is similar to that described in the Service’s 2012 Land-Based Wind Energy Guidelines (Land-Based Wind Energy Guidelines), particularly during Tiers 1 (Preliminary Site Evaluation) and 2 (Site Characterization); whereas Tiers 3-5 involve field studies to predict and monitor impacts. Environmental risks include direct impacts (e.g., from construction or clearing, loss, fragmentation, or degradation of habitat, displacement or behavioral changes), and indirect impacts (e.g., increased predator populations). The assigned risk categories and corresponding colors in the map represent the Service’s estimation of the relative environmental risk to species of concern and sensitive habitats within an area. Regardless of the environmental risk associated with a particular area, solar developers should coordinate with the Service and other appropriate Federal and State agencies and follow guidelines to inform the siting and development of any proposed solar energy project.

  8. Annual electricity generation from solar power in China 2013-2024

    • statista.com
    Updated Jun 13, 2025
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    Statista (2025). Annual electricity generation from solar power in China 2013-2024 [Dataset]. https://www.statista.com/statistics/673444/china-solar-power-generation-china/
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    Dataset updated
    Jun 13, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    China
    Description

    China's solar power generation reached nearly approximately *** terawatt hours in 2024. Compared to the previous year, solar power capacity in China increased by ** percent in 2023.

  9. U.S. Solar Energy

    • hub.arcgis.com
    Updated Dec 19, 2013
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    Esri Community Portal for GEOSS (2013). U.S. Solar Energy [Dataset]. https://hub.arcgis.com/datasets/9a8ea63b516149eab26006d547d1d79e
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    Dataset updated
    Dec 19, 2013
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri Community Portal for GEOSS
    Description

    Solar power plants of ten megawatts or more are shown atop a map of solar energy potential (ten megawatts can power about 10,000 houses). Many plants are in planning or construction phases; tap the buttons above to view them.Solar potential indicates the average annual amount of available energy. In much of the Southwest, solar panels covering a football field can potentially power more than 1,000 homes. This is roughly double the amount solar energy available in the Northeast.Solar power costs are high relative to fossil fuels because the sun's energy is diffuse and it varies with the seasons and weather conditions. Despite the relatively low solar potential on the eastern seaboard, a cluster of plants in the Northeast serves cities with high demand.Zoom into the map for satellite views. Some facilities are not visible due to recent construction and varying dates of imagery.Sources: Solar Energy Industries Association, Institute for Energy Research, National Renewable Energy Laboratory.This map was created with the Text and Legend template. See here for details.

  10. T

    Morocco - Renewable Energy Consumption (% Of Total Final Energy Consumption)...

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Jun 11, 2017
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    TRADING ECONOMICS (2017). Morocco - Renewable Energy Consumption (% Of Total Final Energy Consumption) [Dataset]. https://tradingeconomics.com/morocco/renewable-energy-consumption-wb-data.html
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    json, excel, csv, xmlAvailable download formats
    Dataset updated
    Jun 11, 2017
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    Morocco
    Description

    Renewable energy consumption (% of total final energy consumption) in Morocco was reported at 10.9 % in 2021, according to the World Bank collection of development indicators, compiled from officially recognized sources. Morocco - Renewable energy consumption (% of total final energy consumption) - actual values, historical data, forecasts and projections were sourced from the World Bank on June of 2025.

  11. Global solar energy production 2009-2022

    • statista.com
    • ai-chatbox.pro
    Updated Aug 5, 2024
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    Statista (2024). Global solar energy production 2009-2022 [Dataset]. https://www.statista.com/statistics/1031177/solar-energy-production-globally/
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    Dataset updated
    Aug 5, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    Since 2009, global solar energy production continuously rose to its peak, at over one petawatt hours in 2022. This represent an increase of roughly 25.6 percent from the previous year. Overall, figures increased by more than one petawatt hours in the period of consideration.

  12. S

    Sri Lanka Solar electricity generation - data, chart | TheGlobalEconomy.com

    • theglobaleconomy.com
    csv, excel, xml
    Updated Nov 7, 2018
    + more versions
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    Globalen LLC (2018). Sri Lanka Solar electricity generation - data, chart | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/Sri-Lanka/solar_electricity_generation/
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    excel, xml, csvAvailable download formats
    Dataset updated
    Nov 7, 2018
    Dataset authored and provided by
    Globalen LLC
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 31, 1980 - Dec 31, 2023
    Area covered
    Sri Lanka
    Description

    Sri Lanka: Solar electricity generation, billion kilowatthours: The latest value from 2023 is 0.8 billion kilowatthours, an increase from 0.72 billion kilowatthours in 2022. In comparison, the world average is 8.63 billion kilowatthours, based on data from 188 countries. Historically, the average for Sri Lanka from 1980 to 2023 is 0.08 billion kilowatthours. The minimum value, 0 billion kilowatthours, was reached in 1980 while the maximum of 0.8 billion kilowatthours was recorded in 2023.

  13. d

    Statewide Distributed Solar Projects: Beginning 2000

    • catalog.data.gov
    • data.ny.gov
    Updated May 17, 2025
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    data.ny.gov (2025). Statewide Distributed Solar Projects: Beginning 2000 [Dataset]. https://catalog.data.gov/dataset/statewide-solar-projects-beginning-2000
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    Dataset updated
    May 17, 2025
    Dataset provided by
    data.ny.gov
    Description

    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.

  14. Z

    ChinaPV: the spatial distribution of solar photovoltaic installation dataset...

    • data.niaid.nih.gov
    Updated Jun 14, 2024
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    Wang, Jinyue (2024). ChinaPV: the spatial distribution of solar photovoltaic installation dataset across China in 2015 and 2020 [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_11648325
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    Dataset updated
    Jun 14, 2024
    Dataset provided by
    Liu, Jing
    Li, Longhui
    Wang, Jinyue
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    China
    Description

    Solar energy is the most common renewable energy source that is clean, safe, and inexhaustible. Photovoltaic (PV) technology utilizes solar panels to convert solar energy into electricity. The number of PV installations has rapidly increased worldwide.

    In this study, we employed the random forest classifier to extracted PV installations throughout China in 2015 and 2020 using Landsat-8 imagery based on the Google Earth Engine platform. The classification results were further visually inspected and refined by morphological filtering, cavity filling as well as manual contour adjustment. Validation analysis revealed that the resulting dataset achieved an overall accuracy over 96% for both 2015 and 2020.

    "ChinaPV" contains the specific location as well as the size of each PV installation. This study generated two vectorized soloar PV installation maps in China for the year 2015 and 2020. It includes the location and size of each PV installation. ChinaPV is delivered in “ESRI Shapefile” formats in WGS-84 coordinate system. The attributes table of the PV polygons include the PV polygon ID, latitude and longitude coordinates of the centre point in each PV installation, the area (km2) and perimeter (km) of each PV, as well as the name of province this PV locates.

    Users can employ our ChinaPV dataset in 1) analysing the spatial and temporal patterns of PV installation across China and in different administrative provinces; (2) analysing the spatial and temporal patterns of PV installation over different land cover and land use types; (3) collecting PV samples to train a deep learning model; (4) estimating the generated electricity and carbon mitigation effect from solar PV; (5) evaluating the environmental impact of PV on hydrology and local climate.

  15. On-Site Solar Power Market Growth – Trends & Forecast 2025 to 2035

    • futuremarketinsights.com
    pdf
    Updated Apr 17, 2025
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    Future Market Insights (2025). On-Site Solar Power Market Growth – Trends & Forecast 2025 to 2035 [Dataset]. https://www.futuremarketinsights.com/reports/on-site-photovoltaic-solar-power-for-data-centers-market
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    pdfAvailable download formats
    Dataset updated
    Apr 17, 2025
    Dataset authored and provided by
    Future Market Insights
    License

    https://www.futuremarketinsights.com/privacy-policyhttps://www.futuremarketinsights.com/privacy-policy

    Time period covered
    2025 - 2035
    Area covered
    Worldwide
    Description

    The market is expected to 10 expand from USD 26,941.5 million in 2025 to USD 49,631.2 million by 2035, at a 11 CAGR of 6.3% over the forecast period. As edge computing continues to skyrocket and AI-driven workloads proliferate, energy efficiency and power autonomy have become increasingly vital touchpoints for the next generation of data centers. In response, operators are looking more and more to on-site solar systems commonly with battery storage that lock in stable energy costs and maximize grid independence, uptime.

    MetricValue
    Market Size (2025E)USD 26,941.5 million
    Market Value (2035F)USD 49,631.2 million
    CAGR (2025 to 2035)6.3%

    Country-wise Insights

    CountryCAGR (2025 to 2035)
    United States6.6%
    CountryCAGR (2025 to 2035)
    United Kingdom6.0%
    RegionCAGR (2025 to 2035)
    Europe6.2%
    CountryCAGR (2025 to 2035)
    Japan6.4%
    CountryCAGR (2025 to 2035)
    South Korea6.5%

    Segmentation Outlook - On-Site Photovoltaic Solar Power for Data Centers Market

    Sub-SegmentMarket Share (2025)
    Monocrystalline Silicon Photovoltaic Panels53.2%
    Sub-SegmentMarket Share (2025)
    On-Grid Connected61.5%

    Competitive Outlook

    Company NameEstimated Market Share (%)
    Trina Solar17-20%
    JA Solar Co., Ltd.15-18%
    SunPower Corporation12-15%
    Jinko Solar9-12%
    Canadian Solar8-10%
    Other Companies (combined)25-30%
  16. Thailand Solar Energy Market Demand, Size and Competitive Analysis | TechSci...

    • techsciresearch.com
    Updated Aug 10, 2023
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    TechSci Research (2023). Thailand Solar Energy Market Demand, Size and Competitive Analysis | TechSci Research [Dataset]. https://www.techsciresearch.com/report/thailand-solar-energy-market/15678.html
    Explore at:
    Dataset updated
    Aug 10, 2023
    Dataset authored and provided by
    TechSci Research
    License

    https://www.techsciresearch.com/privacy-policy.aspxhttps://www.techsciresearch.com/privacy-policy.aspx

    Area covered
    Thailand
    Description

    Thailand solar energy market is driven by the rising investment in renewable energy, and the growing usage of solar energy to reduce the usage of fossil fuels.

    Pages70
    Market Size
    Forecast Market Size
    CAGR
    Fastest Growing Segment
    Largest Market
    Key Players

  17. Renewable energy capacity worldwide 2024, by country

    • statista.com
    • ai-chatbox.pro
    Updated Apr 2, 2025
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    Statista (2025). Renewable energy capacity worldwide 2024, by country [Dataset]. https://www.statista.com/statistics/267233/renewable-energy-capacity-worldwide-by-country/
    Explore at:
    Dataset updated
    Apr 2, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    Worldwide
    Description

    The leading countries for installed renewable energy in 2024 were China, the United States, and Brazil. China was the leader in renewable energy installations, with a capacity of around 1,827 gigawatts. The U.S., in second place, had a capacity of around 428 gigawatts. Renewable energy is an important step in addressing climate change and mitigating the consequences of this phenomenon. Renewable energy capacity and productionRenewable power capacity is defined as the maximum generating capacity of installations that use renewable sources to generate electricity. The share of renewable energy in the world’s power production has increased in recent years, surpassing 30 percent in 2023. Renewable energy consumption varies from country to country. The leading countries for renewable energy consumption are China, the United States, and Canada.Renewable energy sourcesThere are various sources of renewable energy used globally, including bioenergy, solar energy, hydropower, and wind energy, to name a few. Globally, China and Brazil are the top two countries in terms of generating the most energy through hydropower. Regarding solar power, China, the United States, and Japan boast the highest installed capacities worldwide.

  18. T

    Pakistan - Renewable Energy Consumption (% Of Total Final Energy...

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Jun 1, 2017
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    TRADING ECONOMICS (2017). Pakistan - Renewable Energy Consumption (% Of Total Final Energy Consumption) [Dataset]. https://tradingeconomics.com/pakistan/renewable-energy-consumption-wb-data.html
    Explore at:
    excel, xml, json, csvAvailable download formats
    Dataset updated
    Jun 1, 2017
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    Pakistan
    Description

    Renewable energy consumption (% of total final energy consumption) in Pakistan was reported at 41.6 % in 2021, according to the World Bank collection of development indicators, compiled from officially recognized sources. Pakistan - Renewable energy consumption (% of total final energy consumption) - actual values, historical data, forecasts and projections were sourced from the World Bank on June of 2025.

  19. Solar Panels Market Analysis APAC, Europe, North America, Middle East and...

    • technavio.com
    Updated Mar 15, 2025
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    Technavio (2025). Solar Panels Market Analysis APAC, Europe, North America, Middle East and Africa, South America - US, China, Japan, Germany, India, UK, South Korea, France, Italy, Canada - Size and Forecast 2025-2029 [Dataset]. https://www.technavio.com/report/solar-panels-market-industry-analysis
    Explore at:
    Dataset updated
    Mar 15, 2025
    Dataset provided by
    TechNavio
    Authors
    Technavio
    Time period covered
    2021 - 2025
    Area covered
    Global
    Description

    Snapshot img

    Solar Panels Market Size 2025-2029

    The solar panels market size is forecast to increase by USD 60.1 billion, at a CAGR of 8.2% between 2024 and 2029.

    The market is witnessing significant growth, driven by increasing investments in the renewable energy sector. This trend is fueled by governments and businesses worldwide seeking to reduce carbon emissions and promote sustainable energy solutions. Another key driver is the continuous advancements in thin-film solar photovoltaic (PV) modules, making solar energy more cost-effective and accessible. However, the intermittent nature of solar power poses a significant challenge. Solar energy production depends on sunlight availability, which can be unpredictable. This variability necessitates efficient energy storage solutions and smart grid management systems to ensure a consistent energy supply. Companies in the market must focus on developing innovative technologies to address this challenge and capitalize on the growing demand for renewable energy. By investing in research and development, collaborating with energy storage providers, and optimizing solar panel designs, companies can effectively navigate this market landscape and seize opportunities for growth.

    What will be the Size of the Solar Panels Market during the forecast period?

    Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
    Request Free SampleThe market continues to evolve, driven by technological advancements and expanding applications across various sectors. Off-grid systems, once a niche application, are increasingly gaining traction as an alternative power solution. Thin-film solar panels, with their flexibility and lower manufacturing costs, are finding new uses in solar powered appliances and buildings. Silicon wafer technology, a mainstay in solar panel manufacturing, faces competition from emerging alternatives. Solar powered refrigeration systems are revolutionizing cold storage solutions, while solar tracking systems optimize panel efficiency. Commercial solar adoption is on the rise, with businesses recognizing the cost savings and sustainability benefits. Solar panel warranty and performance degradation are key considerations for investors and consumers alike. Solar panel manufacturing processes are continuously improving, with a focus on reducing costs and increasing efficiency. Solar energy storage and solar energy policy are crucial components of the renewable energy landscape. Industrial solar applications are expanding, from powering factories to providing clean energy for heavy industry. Solar panel maintenance and cleaning are essential for maximizing system performance and longevity. Battery energy storage and net metering are transforming the way we store and distribute solar energy. Solar farm development and ground-mounted solar installations are shaping the future of utility-scale solar. Solar powered electronics, from calculators to smartphones, are becoming increasingly common. Solar powered homes and solar powered buildings are the future of sustainable living. The market is a dynamic and evolving landscape, with endless possibilities.

    How is this Solar Panels Industry segmented?

    The solar panels industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments. End-userPower utilitiesCommercialResidentialTypeCrystalline panelThin-film panelConnectivityOn-gridOff-gridTechnologySolar PVConcentrated solar power (CSP)GeographyNorth AmericaUSCanadaEuropeFranceGermanyItalyUKAPACChinaIndiaJapanSouth KoreaRest of World (ROW).

    By End-user Insights

    The power utilities segment is estimated to witness significant growth during the forecast period.The solar panel market experienced significant growth in 2024, with the power utility segment leading the way. Utility-scale solar power plants continued to expand, contributing to the reduction of carbon emissions and the generation of clean energy. According to the International Energy Agency (IEA), renewable capacity additions reached record levels in 2024, with solar photovoltaics (PV) accounting for around 80% of the growth in renewable electricity capacity. China, the US, Germany, Japan, and India were among the major contributors to the utility segment. For instance, China installed 277 GW of solar capacity in 2024, as reported by the National Energy Administration (NEA). Residential solar installations also gained traction, with homeowners seeking to save on energy costs and reduce their carbon footprint. Solar panel financing options, such as leasing and power purchase agreements, made solar adoption more accessible. Solar panel costs continued to decline, making solar energy a cost-effective solution for both

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

    • catalog.data.gov
    • data.ca.gov
    • +4more
    Updated Nov 27, 2024
    + more versions
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    California Energy Commission (2024). Utility Solar Generation and Capacity by Type and County Table: 2018 [Dataset]. https://catalog.data.gov/dataset/utility-solar-generation-and-capacity-by-type-and-county-table-2018-33a1a
    Explore at:
    Dataset updated
    Nov 27, 2024
    Dataset provided by
    California Energy Commissionhttp://www.energy.ca.gov/
    Description

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

Share
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TRADING ECONOMICS (2001). Solar Energy Index - Price Data [Dataset]. https://tradingeconomics.com/commodity/solar

Solar Energy Index - Price Data

Solar Energy Index - Historical Dataset (2008-04-15/2025-06-24)

Explore at:
xml, csv, json, excelAvailable download formats
Dataset updated
Feb 1, 2001
Dataset authored and provided by
TRADING ECONOMICS
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Time period covered
Apr 15, 2008 - Jun 24, 2025
Area covered
World
Description

Solar Energy Index rose to 32.26 USD on June 24, 2025, up 0.31% from the previous day. Over the past month, Solar Energy Index's price has risen 1.00%, but it is still 23.41% lower than a year ago, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. This dataset includes a chart with historical data for Solar Energy Index.

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