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A high-resolution geospatial assessment of the rooftop solar photovoltaic potential in the European Union

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  • Bódis, Katalin
  • Kougias, Ioannis
  • Jäger-Waldau, Arnulf
  • Taylor, Nigel
  • Szabó, Sándor

Abstract

Rooftop solar photovoltaic (PV) systems can make a significant contribution to Europe's energy transition. Realising this potential raises challenges at policy and electricity system planning level. To address this, the authors have developed a geospatially explicit methodology using up-to-date spatial information of the EU building stock to quantify the available rooftop area for PV systems. To do this, it combines satellite-based and statistical data sources with machine learning to provide a reliable assessment of the technical potential for rooftop PV electricity production with a spatial resolution of 100 m across the European Union (EU). It estimates the levelised cost of electricity (LCOE) using country-specific parameters and compares it to the latest household electricity prices. The results show that the EU rooftops could potentially produce 680 TWh of solar electricity annually (representing 24.4% of current electricity consumption), two thirds of which at a cost lower than the current residential tariffs. Country aggregated results illustrate existing barriers for cost-effective rooftop systems in countries with low electricity prices and high investment interest rates, as well as provide indications on how to address these.

Suggested Citation

  • Bódis, Katalin & Kougias, Ioannis & Jäger-Waldau, Arnulf & Taylor, Nigel & Szabó, Sándor, 2019. "A high-resolution geospatial assessment of the rooftop solar photovoltaic potential in the European Union," Renewable and Sustainable Energy Reviews, Elsevier, vol. 114(C), pages 1-1.
  • Handle: RePEc:eee:rensus:v:114:y:2019:i:c:40
    DOI: 10.1016/j.rser.2019.109309
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    References listed on IDEAS

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    1. Lukač, Niko & Seme, Sebastijan & Dežan, Katarina & Žalik, Borut & Štumberger, Gorazd, 2016. "Economic and environmental assessment of rooftops regarding suitability for photovoltaic systems installation based on remote sensing data," Energy, Elsevier, vol. 107(C), pages 854-865.
    2. Freitas, S. & Catita, C. & Redweik, P. & Brito, M.C., 2015. "Modelling solar potential in the urban environment: State-of-the-art review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 915-931.
    3. Cole, Wesley & Frew, Bethany & Gagnon, Pieter & Reimers, Andrew & Zuboy, Jarett & Margolis, Robert, 2018. "Envisioning a low-cost solar future: Exploring the potential impact of Achieving the SunShot 2030 targets for photovoltaics," Energy, Elsevier, vol. 155(C), pages 690-704.
    4. Hong, Taehoon & Koo, Choongwan & Park, Joonho & Park, Hyo Seon, 2014. "A GIS (geographic information system)-based optimization model for estimating the electricity generation of the rooftop PV (photovoltaic) system," Energy, Elsevier, vol. 65(C), pages 190-199.
    5. Khan, Jibran & Arsalan, Mudassar Hassan, 2016. "Estimation of rooftop solar photovoltaic potential using geo-spatial techniques: A perspective from planned neighborhood of Karachi – Pakistan," Renewable Energy, Elsevier, vol. 90(C), pages 188-203.
    6. Katalin Bódis & Ioannis Kougias & Nigel Taylor & Arnulf Jäger-Waldau, 2019. "Solar Photovoltaic Electricity Generation: A Lifeline for the European Coal Regions in Transition," Sustainability, MDPI, vol. 11(13), pages 1-14, July.
    7. Hagerman, Shelly & Jaramillo, Paulina & Morgan, M. Granger, 2016. "Is rooftop solar PV at socket parity without subsidies?," Energy Policy, Elsevier, vol. 89(C), pages 84-94.
    8. Byrne, John & Taminiau, Job & Kurdgelashvili, Lado & Kim, Kyung Nam, 2015. "A review of the solar city concept and methods to assess rooftop solar electric potential, with an illustrative application to the city of Seoul," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 830-844.
    9. Vardimon, Ran, 2011. "Assessment of the potential for distributed photovoltaic electricity production in Israel," Renewable Energy, Elsevier, vol. 36(2), pages 591-594.
    10. Talavera, D.L. & Pérez-Higueras, P. & Almonacid, F. & Fernández, E.F., 2017. "A worldwide assessment of economic feasibility of HCPV power plants: Profitability and competitiveness," Energy, Elsevier, vol. 119(C), pages 408-424.
    11. Ondraczek, Janosch & Komendantova, Nadejda & Patt, Anthony, 2015. "WACC the dog: The effect of financing costs on the levelized cost of solar PV power," Renewable Energy, Elsevier, vol. 75(C), pages 888-898.
    12. Andres Calcabrini & Hesan Ziar & Olindo Isabella & Miro Zeman, 2019. "A simplified skyline-based method for estimating the annual solar energy potential in urban environments," Nature Energy, Nature, vol. 4(3), pages 206-215, March.
    13. Thomas Huld & Ana M. Gracia Amillo, 2015. "Estimating PV Module Performance over Large Geographical Regions: The Role of Irradiance, Air Temperature, Wind Speed and Solar Spectrum," Energies, MDPI, vol. 8(6), pages 1-23, June.
    14. Ko, Li & Wang, Jen-Chun & Chen, Chia-Yon & Tsai, Hsing-Yeh, 2015. "Evaluation of the development potential of rooftop solar photovoltaic in Taiwan," Renewable Energy, Elsevier, vol. 76(C), pages 582-595.
    15. Hong, Taehoon & Lee, Minhyun & Koo, Choongwan & Jeong, Kwangbok & Kim, Jimin, 2017. "Development of a method for estimating the rooftop solar photovoltaic (PV) potential by analyzing the available rooftop area using Hillshade analysis," Applied Energy, Elsevier, vol. 194(C), pages 320-332.
    16. Kabir, Md. Humayun & Endlicher, Wilfried & Jägermeyr, Jonas, 2010. "Calculation of bright roof-tops for solar PV applications in Dhaka Megacity, Bangladesh," Renewable Energy, Elsevier, vol. 35(8), pages 1760-1764.
    17. Szabó, Sándor & Bódis, Katalin & Kougias, Ioannis & Moner-Girona, Magda & Jäger-Waldau, Arnulf & Barton, Gábor & Szabó, László, 2017. "A methodology for maximizing the benefits of solar landfills on closed sites," Renewable and Sustainable Energy Reviews, Elsevier, vol. 76(C), pages 1291-1300.
    18. La Monaca, Sarah & Ryan, Lisa, 2017. "Solar PV where the sun doesn’t shine: Estimating the economic impacts of support schemes for residential PV with detailed net demand profiling," Energy Policy, Elsevier, vol. 108(C), pages 731-741.
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