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On the potential contribution of rooftop PV to a sustainable electricity mix: The case of Spain

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  • Gomez-Exposito, Antonio
  • Arcos-Vargas, Angel
  • Gutierrez-Garcia, Francisco

Abstract

This work evaluates on a large-scale basis the potential contribution of rooftop PV to the future electricity mix. First, based upon an estimation of the available urban rooftop surface, the maximum PV distributed capacity is calculated for each conurbation. Then, several sustainable scenarios are considered, each comprising different shares of centralized renewables, rooftop PV and storage. For each generation scenario, the storage capacity that balances the net hourly demand is determined, and the portfolio combination that minimizes the cost of supplying electricity is obtained. The analysis is applied to mainland Spain, using public information and detailed granular models, both in time (hourly resolution) and space (municipal level). For the Spanish case, when the flexibility of hydro and biomass generation is taken into account, the least-cost portfolio involves rather modest storage capacities, in the order of daily rather than seasonal values. This shows that a sustainable, almost emissions-free electricity system for Spain is possible, at a cost that can be even lower than current wholesale market prices.

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  • Gomez-Exposito, Antonio & Arcos-Vargas, Angel & Gutierrez-Garcia, Francisco, 2020. "On the potential contribution of rooftop PV to a sustainable electricity mix: The case of Spain," Renewable and Sustainable Energy Reviews, Elsevier, vol. 132(C).
  • Handle: RePEc:eee:rensus:v:132:y:2020:i:c:s1364032120303658
    DOI: 10.1016/j.rser.2020.110074
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    1. Kurdgelashvili, Lado & Li, Junli & Shih, Cheng-Hao & Attia, Benjamin, 2016. "Estimating technical potential for rooftop photovoltaics in California, Arizona and New Jersey," Renewable Energy, Elsevier, vol. 95(C), pages 286-302.
    2. Suomalainen, Kiti & Wang, Vincent & Sharp, Basil, 2017. "Rooftop solar potential based on LiDAR data: Bottom-up assessment at neighbourhood level," Renewable Energy, Elsevier, vol. 111(C), pages 463-475.
    3. Strzalka, Aneta & Alam, Nazmul & Duminil, Eric & Coors, Volker & Eicker, Ursula, 2012. "Large scale integration of photovoltaics in cities," Applied Energy, Elsevier, vol. 93(C), pages 413-421.
    4. Yushchenko, Alisa & de Bono, Andrea & Chatenoux, Bruno & Kumar Patel, Martin & Ray, Nicolas, 2018. "GIS-based assessment of photovoltaic (PV) and concentrated solar power (CSP) generation potential in West Africa," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 2088-2103.
    5. Yang, Yuqing & Bremner, Stephen & Menictas, Chris & Kay, Merlinde, 2018. "Battery energy storage system size determination in renewable energy systems: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 91(C), pages 109-125.
    6. Buffat, René & Grassi, Stefano & Raubal, Martin, 2018. "A scalable method for estimating rooftop solar irradiation potential over large regions," Applied Energy, Elsevier, vol. 216(C), pages 389-401.
    7. Leonard, Matthew D. & Michaelides, Efstathios E. & Michaelides, Dimitrios N., 2020. "Energy storage needs for the substitution of fossil fuel power plants with renewables," Renewable Energy, Elsevier, vol. 145(C), pages 951-962.
    8. de Sisternes, Fernando J. & Jenkins, Jesse D. & Botterud, Audun, 2016. "The value of energy storage in decarbonizing the electricity sector," Applied Energy, Elsevier, vol. 175(C), pages 368-379.
    9. Ordóñez, J. & Jadraque, E. & Alegre, J. & Martínez, G., 2010. "Analysis of the photovoltaic solar energy capacity of residential rooftops in Andalusia (Spain)," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(7), pages 2122-2130, September.
    10. Lee, Minhyun & Hong, Taehoon & Jeong, Kwangbok & Kim, Jimin, 2018. "A bottom-up approach for estimating the economic potential of the rooftop solar photovoltaic system considering the spatial and temporal diversity," Applied Energy, Elsevier, vol. 232(C), pages 640-656.
    11. Assouline, Dan & Mohajeri, Nahid & Scartezzini, Jean-Louis, 2018. "Large-scale rooftop solar photovoltaic technical potential estimation using Random Forests," Applied Energy, Elsevier, vol. 217(C), pages 189-211.
    12. 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.
    13. 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.
    14. 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.
    15. Xin-gang, Zhao & Zhen, Wang, 2019. "Technology, cost, economic performance of distributed photovoltaic industry in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 110(C), pages 53-64.
    16. Jacobson, Mark Z. & Howarth, Robert W. & Delucchi, Mark A. & Scobie, Stan R. & Barth, Jannette M. & Dvorak, Michael J. & Klevze, Megan & Katkhuda, Hind & Miranda, Brian & Chowdhury, Navid A. & Jones, , 2013. "Examining the feasibility of converting New York State’s all-purpose energy infrastructure to one using wind, water, and sunlight," Energy Policy, Elsevier, vol. 57(C), pages 585-601.
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    2. Elham Fakhraian & Marc Alier & Francesc Valls Dalmau & Alireza Nameni & Maria José Casañ Guerrero, 2021. "The Urban Rooftop Photovoltaic Potential Determination," Sustainability, MDPI, vol. 13(13), pages 1-18, July.
    3. Saez, R. & Boer, D. & Shobo, A.B. & Vallès, M., 2023. "Techno-economic analysis of residential rooftop photovoltaics in Spain," Renewable and Sustainable Energy Reviews, Elsevier, vol. 188(C).
    4. George Stamatellos & Olympia Zogou & Anastassios Stamatelos, 2021. "Energy Performance Optimization of a House with Grid-Connected Rooftop PV Installation and Air Source Heat Pump," Energies, MDPI, vol. 14(3), pages 1-23, January.
    5. Dupré la Tour, Marie-Alix, 2023. "Photovoltaic and wind energy potential in Europe – A systematic review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 179(C).
    6. Fuster-Palop, Enrique & Prades-Gil, Carlos & Masip, X. & Viana-Fons, Joan D. & Payá, Jorge, 2021. "Innovative regression-based methodology to assess the techno-economic performance of photovoltaic installations in urban areas," Renewable and Sustainable Energy Reviews, Elsevier, vol. 149(C).
    7. Dasí-Crespo, Daniel & Roldán-Blay, Carlos & Escrivá-Escrivá, Guillermo & Roldán-Porta, Carlos, 2023. "Evaluation of the Spanish regulation on self-consumption photovoltaic installations. A case study based on a rural municipality in Spain," Renewable Energy, Elsevier, vol. 204(C), pages 788-802.
    8. Gutierrez-Garcia, Francisco & Arcos-Vargas, Angel & Gomez-Exposito, Antonio, 2022. "Robustness of electricity systems with nearly 100% share of renewables: A worst-case study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 155(C).
    9. Georgiou, Giorgos S. & Rouvas, Constantinos & Nathanael, Demetris, 2022. "Enhancing expansion of rooftop PV systems through Mixed Integer Linear Programming and Public Tender Procedures," Renewable Energy, Elsevier, vol. 187(C), pages 347-361.
    10. Olivieri, Lorenzo & Caamaño-Martín, Estefanía & Sassenou, Louise-Nour & Olivieri, Francesca, 2020. "Contribution of photovoltaic distributed generation to the transition towards an emission-free supply to university campus: technical, economic feasibility and carbon emission reduction at the Univers," Renewable Energy, Elsevier, vol. 162(C), pages 1703-1714.
    11. Abbas Al-Refaie & Natalija Lepkova & Constantinos Hadjistassou, 2023. "Using System Dynamics to Examine Effects of Satisfaction with PV Systems, Advertising, and Competition on Energy Security and CO 2 Emissions in Jordan," Sustainability, MDPI, vol. 15(20), pages 1-25, October.
    12. Gassar, Abdo Abdullah Ahmed & Cha, Seung Hyun, 2021. "Review of geographic information systems-based rooftop solar photovoltaic potential estimation approaches at urban scales," Applied Energy, Elsevier, vol. 291(C).

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