5 datasets found
  1. l

    Supplementary information files for article: 'The future scope of...

    • repository.lboro.ac.uk
    • figshare.com
    zip
    Updated May 30, 2023
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    Diane Palmer; Ralph Gottschalg; Tom Betts (2023). Supplementary information files for article: 'The future scope of large-scale solar in the UK: site suitability and target analysis' [Dataset]. http://doi.org/10.17028/rd.lboro.7461722.v1
    Explore at:
    zipAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    Loughborough University
    Authors
    Diane Palmer; Ralph Gottschalg; Tom Betts
    License

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

    Area covered
    United Kingdom
    Description

    Supplementary information files for article: 'The future scope of large-scale solar in the UK: site suitability and target analysis'.Abstract:This paper uses site suitability analysis to identify locations for solar farms in the UK to help meet climate change targets. A set of maps, each representing a given suitability criterion, is created with geographical information systems (GIS) software. These are combined to give a Boolean map of areas which are appropriate for large-scale solar farm installation. Several scenarios are investigated by varying the criteria, which include geographical (land use) factors, solar energy resource and electrical distribution network constraints. Some are dictated by the physical and technical requirements of large-scale solar construction, and some by government or distribution network operator (DNO) policy. It is found that any suitability map which does not heed planning permission and grid constraints will overstate potential solar farm area by up to 97%. This research finds sufficient suitable land to meet Future Energy Scenarios (UK National Grid outlines for the coming energy landscape).

  2. A

    Republic of the Congo - Solar irradiation and PV power potential maps

    • data.amerigeoss.org
    • cloud.csiss.gmu.edu
    Updated Jul 23, 2019
    + more versions
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    World Bank (2019). Republic of the Congo - Solar irradiation and PV power potential maps [Dataset]. https://data.amerigeoss.org/de/dataset/republic-congo-solar-irradiation-and-pv-power-potential-maps
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    Dataset updated
    Jul 23, 2019
    Dataset provided by
    World Bank
    License

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

    Area covered
    Republic of the Congo
    Description

    Map with solar irradiation and PV power potential in the Republic of the Congo. The GIS data stems from the Global Solar Atlas (http://globalsolaratlas.info). The link also provides a poster size (.tif) and midsize map (.png). The Global Solar Atlas is continuously updated. Provided GIS data layers include long-term yearly average of: (1) PVOUT – Photovoltaic power potential kWh/kWp GHI – Global horizontal irradiation kWh/m2 DIF – Diffuse horizontal irradiation kWh/m2 GTI – Global irradiation for optimally tilted surface kWh/m2 OPTA – Optimum tilt to maximize yearly yield ° DNI – Direct normal irradiation [kWh/m2]

  3. A

    Sri Lanka - Solar irradiation and PV power potential maps

    • data.amerigeoss.org
    • cloud.csiss.gmu.edu
    Updated Jul 23, 2019
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    World Bank (2019). Sri Lanka - Solar irradiation and PV power potential maps [Dataset]. https://data.amerigeoss.org/sr/dataset/sri-lanka-solar-irradiation-and-pv-power-potential-maps
    Explore at:
    Dataset updated
    Jul 23, 2019
    Dataset provided by
    World Bank
    License

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

    Area covered
    Sri Lanka
    Description

    Map with solar irradiation and PV power potential in Sri Lanka. The GIS data stems from the Global Solar Atlas (http://globalsolaratlas.info). The link also provides a poster size (.tif) and midsize map (.png). The Global Solar Atlas is continuously updated. Provided GIS data layers include long-term yearly average of: (1) PVOUT – Photovoltaic power potential kWh/kWp GHI – Global horizontal irradiation kWh/m2 DIF – Diffuse horizontal irradiation kWh/m2 GTI – Global irradiation for optimally tilted surface kWh/m2 OPTA – Optimum tilt to maximize yearly yield ° DNI – Direct normal irradiation [kWh/m2]

  4. Global export data of Used Solar Panel

    • volza.com
    csv
    Updated May 30, 2025
    + more versions
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    Volza FZ LLC (2025). Global export data of Used Solar Panel [Dataset]. https://www.volza.com/exports-united-kingdom/united-kingdom-export-data-of-used+solar+panel
    Explore at:
    csvAvailable download formats
    Dataset updated
    May 30, 2025
    Dataset provided by
    Volza
    Authors
    Volza FZ LLC
    License

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

    Variables measured
    Count of exporters, Sum of export value, 2014-01-01/2021-09-30, Count of export shipments
    Description

    135 Global export shipment records of Used Solar Panel with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

  5. Monthly average daily sun hours in the United Kingdom 2015-2024

    • statista.com
    Updated Jan 15, 2025
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    Statista (2025). Monthly average daily sun hours in the United Kingdom 2015-2024 [Dataset]. https://www.statista.com/statistics/322602/monthly-average-daily-sun-hours-in-the-united-kingdom-uk/
    Explore at:
    Dataset updated
    Jan 15, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2015 - Nov 2024
    Area covered
    United Kingdom
    Description

    The lowest average daily sun hours in the United Kingdom typically occur in January and December. The highest daily sun hours recorded since 2015 was in May 2020, at an average of 9.7 hours per day. In comparison, May 2024 saw 5.6 hours of daily sunshine. High levels of monthly sunlight in 2018 Since 2014, the pattern of total monthly hours of sunlight remained relatively similar up until 2018. That year there was a noticeable increase in sunlight hours in May, June and July – with May recording 241 hours of sunlight. The following year the pattern returned to normal, but a significant increase was again recorded in 2020. Annual sun hours The average annual number of daily sun hours in the UK has remained above four hours per day since 2001, but has not increased above five. Daily sun hours were highest in 2003 at 4.9 hours per day. The following years saw sun hours remain at a similar level, until figures increased again to 4.9 hours in 2022.

  6. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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Diane Palmer; Ralph Gottschalg; Tom Betts (2023). Supplementary information files for article: 'The future scope of large-scale solar in the UK: site suitability and target analysis' [Dataset]. http://doi.org/10.17028/rd.lboro.7461722.v1

Supplementary information files for article: 'The future scope of large-scale solar in the UK: site suitability and target analysis'

Explore at:
zipAvailable download formats
Dataset updated
May 30, 2023
Dataset provided by
Loughborough University
Authors
Diane Palmer; Ralph Gottschalg; Tom Betts
License

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

Area covered
United Kingdom
Description

Supplementary information files for article: 'The future scope of large-scale solar in the UK: site suitability and target analysis'.Abstract:This paper uses site suitability analysis to identify locations for solar farms in the UK to help meet climate change targets. A set of maps, each representing a given suitability criterion, is created with geographical information systems (GIS) software. These are combined to give a Boolean map of areas which are appropriate for large-scale solar farm installation. Several scenarios are investigated by varying the criteria, which include geographical (land use) factors, solar energy resource and electrical distribution network constraints. Some are dictated by the physical and technical requirements of large-scale solar construction, and some by government or distribution network operator (DNO) policy. It is found that any suitability map which does not heed planning permission and grid constraints will overstate potential solar farm area by up to 97%. This research finds sufficient suitable land to meet Future Energy Scenarios (UK National Grid outlines for the coming energy landscape).

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