IDEAS home Printed from https://ideas.repec.org/a/eee/rensus/v209y2025ics1364032124008384.html
   My bibliography  Save this article

Evaluating cities' solar potential using geographic information systems: A review

Author

Listed:
  • Drozd, Paweł
  • Kapica, Jacek
  • Jurasz, Jakub
  • Dąbek, Paweł

Abstract

Current trends in the global energy market focus on gradually increasing the share of renewable energy sources in the overall energy mix. In recent years, there has been growing interest within the scientific community in assessing the suitability of cities for implementing solar energy solutions. This work discusses various research directions on the solar potential of urban areas, with a particular focus on the role of Geographic Information System (GIS) tools in support of spatial analyses. The main aim of the study was to update the current state of the research based on the analysis of previous works. An attempt was made to assess the role of GIS in research on the solar potential of cities in the context of the overall investigation process. A total of 201 case studies published between 1999 and 2024 (year to date) were analysed, among which articles from 2019–24 were examined in detail. The analysis revealed a wide variation in the approaches regarding the spatial scale of studies and the sources of key data, such as shading and solar radiation. It was shown that one of the key challenges in current analyses is the lack of universality of the methodologies used, leading to divergent, and sometimes challenging to compare final results. In the research aspect, a global urban solar potential was estimated for cities with more than 1 million inhabitants, which amounted to 33.7 PW h annually.

Suggested Citation

  • Drozd, Paweł & Kapica, Jacek & Jurasz, Jakub & Dąbek, Paweł, 2025. "Evaluating cities' solar potential using geographic information systems: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 209(C).
  • Handle: RePEc:eee:rensus:v:209:y:2025:i:c:s1364032124008384
    DOI: 10.1016/j.rser.2024.115112
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1364032124008384
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.rser.2024.115112?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Rediske, Graciele & Siluk, Julio Cezar M. & Michels, Leandro & Rigo, Paula D. & Rosa, Carmen B. & Cugler, Gilberto, 2020. "Multi-criteria decision-making model for assessment of large photovoltaic farms in Brazil," Energy, Elsevier, vol. 197(C).
    2. Žalik, Mitja & Mongus, Domen & Lukač, Niko, 2024. "High-resolution spatiotemporal assessment of solar potential from remote sensing data using deep learning," Renewable Energy, Elsevier, vol. 222(C).
    3. Job Taminiau & John Byrne & Jongkyu Kim & Min‐Hwi Kim & Jeongseok Seo, 2022. "Inferential‐ and measurement‐based methods to estimate rooftop “solar city” potential in megacity Seoul, South Korea," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 11(5), September.
    4. Hannes Koch & Stefan Lechner & Sebastian Erdmann & Martin Hofmann, 2022. "Assessing the Potential of Rooftop Photovoltaics by Processing High-Resolution Irradiation Data, as Applied to Giessen, Germany," Energies, MDPI, vol. 15(19), pages 1-17, September.
    5. Meskiana Boulahia & Kahina Amal Djiar & Miguel Amado, 2021. "Combined Engineering—Statistical Method for Assessing Solar Photovoltaic Potential on Residential Rooftops: Case of Laghouat in Central Southern Algeria," Energies, MDPI, vol. 14(6), pages 1-16, March.
    6. Özdemir, Samed & Yavuzdoğan, Ahmet & Bilgilioğlu, Burhan Baha & Akbulut, Zeynep, 2023. "SPAN: An open-source plugin for photovoltaic potential estimation of individual roof segments using point cloud data," Renewable Energy, Elsevier, vol. 216(C).
    7. Meryem Tahri & Mustapha Hakdaoui & Mohamed Maanan, 2015. "The evaluation of solar farm locations applying Geographic Information System and Multi-Criteria Decision-Making methods: Case study in southern Morocco," Post-Print hal-01185533, HAL.
    8. Abdullah Shaher & Saad Alqahtani & Ali Garada & Liana Cipcigan, 2023. "Rooftop Solar Photovoltaic in Saudi Arabia to Supply Electricity Demand in Localised Urban Areas: A Study of the City of Abha," Energies, MDPI, vol. 16(11), pages 1-24, May.
    9. Eltawil, Mohamed A. & Zhao, Zhengming, 2010. "Grid-connected photovoltaic power systems: Technical and potential problems--A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(1), pages 112-129, January.
    10. 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.
    11. Freitas, Sara & Santos, Teresa & Brito, Miguel C., 2018. "Impact of large scale PV deployment in the sizing of urban distribution transformers," Renewable Energy, Elsevier, vol. 119(C), pages 767-776.
    12. Tahri, Meryem & Hakdaoui, Mustapha & Maanan, Mohamed, 2015. "The evaluation of solar farm locations applying Geographic Information System and Multi-Criteria Decision-Making methods: Case study in southern Morocco," Renewable and Sustainable Energy Reviews, Elsevier, vol. 51(C), pages 1354-1362.
    13. Zhong, Qing & Nelson, Jake R. & Tong, Daoqin & Grubesic, Tony H., 2022. "A spatial optimization approach to increase the accuracy of rooftop solar energy assessments," Applied Energy, Elsevier, vol. 316(C).
    14. Mohajeri, Nahid & Assouline, Dan & Guiboud, Berenice & Bill, Andreas & Gudmundsson, Agust & Scartezzini, Jean-Louis, 2018. "A city-scale roof shape classification using machine learning for solar energy applications," Renewable Energy, Elsevier, vol. 121(C), pages 81-93.
    15. Gabriele Lobaccaro & Malgorzata Maria Lisowska & Erika Saretta & Pierluigi Bonomo & Francesco Frontini, 2019. "A Methodological Analysis Approach to Assess Solar Energy Potential at the Neighborhood Scale," Energies, MDPI, vol. 12(18), pages 1-28, September.
    16. Ren, Haoshan & Xu, Chengliang & Ma, Zhenjun & Sun, Yongjun, 2022. "A novel 3D-geographic information system and deep learning integrated approach for high-accuracy building rooftop solar energy potential characterization of high-density cities," Applied Energy, Elsevier, vol. 306(PA).
    17. Zhang, Chen & Li, Zhixin & Jiang, Haihua & Luo, Yongqiang & Xu, Shen, 2021. "Deep learning method for evaluating photovoltaic potential of urban land-use: A case study of Wuhan, China," Applied Energy, Elsevier, vol. 283(C).
    18. Wenjie Zhang & Yuqiang Zhao & Fengcheng Huang & Yongheng Zhong & Jianwei Zhou, 2021. "Forecasting the Energy and Economic Benefits of Photovoltaic Technology in China’s Rural Areas," Sustainability, MDPI, vol. 13(15), pages 1-22, July.
    19. Zhong, Teng & Zhang, Zhixin & Chen, Min & Zhang, Kai & Zhou, Zixuan & Zhu, Rui & Wang, Yijie & Lü, Guonian & Yan, Jinyue, 2021. "A city-scale estimation of rooftop solar photovoltaic potential based on deep learning," Applied Energy, Elsevier, vol. 298(C).
    20. Yildirim, Deniz & Büyüksalih, Gürcan & Şahin, Ahmet Duran, 2021. "Rooftop photovoltaic potential in Istanbul: Calculations based on LiDAR data, measurements and verifications," Applied Energy, Elsevier, vol. 304(C).
    21. Lukač, Niko & Mongus, Domen & Žalik, Borut & Štumberger, Gorazd & Bizjak, Marko, 2024. "Novel GPU-accelerated high-resolution solar potential estimation in urban areas by using a modified diffuse irradiance model," Applied Energy, Elsevier, vol. 353(PA).
    22. Kutlu, Elif Ceren & Durusoy, Beyza & Ozden, Talat & Akinoglu, Bulent G., 2022. "Technical potential of rooftop solar photovoltaic for Ankara," Renewable Energy, Elsevier, vol. 185(C), pages 779-789.
    23. Tian, Shuai & Yang, Guoqiang & Du, Sihong & Zhuang, Dian & Zhu, Ke & Zhou, Xin & Jin, Xing & Ye, Yu & Li, Peixian & Shi, Xing, 2024. "An innovative method for evaluating the urban roof photovoltaic potential based on open-source satellite images," Renewable Energy, Elsevier, vol. 224(C).
    24. Tsoutsos, Theocharis & Frantzeskaki, Niki & Gekas, Vassilis, 2005. "Environmental impacts from the solar energy technologies," Energy Policy, Elsevier, vol. 33(3), pages 289-296, February.
    25. Myeongchan Oh & Hyeong-Dong Park, 2019. "Optimization of Solar Panel Orientation Considering Temporal Volatility and Scenario-Based Photovoltaic Potential: A Case Study in Seoul National University," Energies, MDPI, vol. 12(17), pages 1-17, August.
    26. Lopez-Ruiz, Hector G. & Blazquez, Jorge & Vittorio, Michele, 2020. "Assessing residential solar rooftop potential in Saudi Arabia using nighttime satellite images: A study for the city of Riyadh," Energy Policy, Elsevier, vol. 140(C).
    27. Antonio Barragán-Escandón & Esteban Zalamea-León & Julio Terrados-Cepeda, 2019. "Incidence of Photovoltaics in Cities Based on Indicators of Occupancy and Urban Sustainability," Energies, MDPI, vol. 12(5), pages 1-26, February.
    28. Danial Mohabat Doost & Alessandra Buffa & Grazia Brunetta & Stefano Salata & Guglielmina Mutani, 2020. "Mainstreaming Energetic Resilience by Morphological Assessment in Ordinary Land Use Planning. The Case Study of Moncalieri, Turin (Italy)," Sustainability, MDPI, vol. 12(11), pages 1-25, May.
    29. Gómez-Navarro, Tomás & Brazzini, Tommaso & Alfonso-Solar, David & Vargas-Salgado, Carlos, 2021. "Analysis of the potential for PV rooftop prosumer production: Technical, economic and environmental assessment for the city of Valencia (Spain)," Renewable Energy, Elsevier, vol. 174(C), pages 372-381.
    30. Yang, Ying & Campana, Pietro Elia & Stridh, Bengt & Yan, Jinyue, 2020. "Potential analysis of roof-mounted solar photovoltaics in Sweden," Applied Energy, Elsevier, vol. 279(C).
    31. John Byrne & Job Taminiau & Jeongseok Seo & Joohee Lee & Soojin Shin, 2017. "Are solar cities feasible? A review of current research," International Journal of Urban Sciences, Taylor & Francis Journals, vol. 21(3), pages 239-256, September.
    32. Alhammami, Hasan & An, Heungjo, 2021. "Techno-economic analysis and policy implications for promoting residential rooftop solar photovoltaics in Abu Dhabi, UAE," Renewable Energy, Elsevier, vol. 167(C), pages 359-368.
    33. Zhang, Ji & Xu, Le & Shabunko, Veronika & Tay, Stephen En Rong & Sun, Huixuan & Lau, Stephen Siu Yu & Reindl, Thomas, 2019. "Impact of urban block typology on building solar potential and energy use efficiency in tropical high-density city," Applied Energy, Elsevier, vol. 240(C), pages 513-533.
    34. Shirazi, Ali Mohammad & Zomorodian, Zahra S. & Tahsildoost, Mohammad, 2019. "Techno-economic BIPV evaluation method in urban areas," Renewable Energy, Elsevier, vol. 143(C), pages 1235-1246.
    35. Paulius Kozlovas & Saulius Gudzius & Jokubas Ciurlionis & Audrius Jonaitis & Inga Konstantinaviciute & Viktorija Bobinaite, 2023. "Assessment of Technical and Economic Potential of Urban Rooftop Solar Photovoltaic Systems in Lithuania," Energies, MDPI, vol. 16(14), pages 1-29, July.
    36. Victoria Stack & Lana L. Narine, 2022. "Sustainability at Auburn University: Assessing Rooftop Solar Energy Potential for Electricity Generation with Remote Sensing and GIS in a Southern US Campus," Sustainability, MDPI, vol. 14(2), pages 1-14, January.
    37. Chen, Zhe & Yang, Bisheng & Zhu, Rui & Dong, Zhen, 2024. "City-scale solar PV potential estimation on 3D buildings using multi-source RS data: A case study in Wuhan, China," Applied Energy, Elsevier, vol. 359(C).
    38. Huang, Zhaojian & Mendis, Thushini & Xu, Shen, 2019. "Urban solar utilization potential mapping via deep learning technology: A case study of Wuhan, China," Applied Energy, Elsevier, vol. 250(C), pages 283-291.
    39. Aleksandra Besser & Jan K. Kazak & Małgorzata Świąder & Szymon Szewrański, 2019. "A Customized Decision Support System for Renewable Energy Application by Housing Association," Sustainability, MDPI, vol. 11(16), pages 1-16, August.
    40. Aslani, Mohammad & Seipel, Stefan, 2022. "Automatic identification of utilizable rooftop areas in digital surface models for photovoltaics potential assessment," Applied Energy, Elsevier, vol. 306(PA).
    41. Babak Ranjgar & Alessandro Niccolai, 2023. "Large-Scale Rooftop Solar Photovoltaic Power Production Potential Assessment: A Case Study for Tehran Metropolitan Area, Iran," Energies, MDPI, vol. 16(20), pages 1-14, October.
    42. Sumit Kalyan & Qian (Chayn) Sun, 2022. "Interrogating the Installation Gap and Potential of Solar Photovoltaic Systems Using GIS and Deep Learning," Energies, MDPI, vol. 15(10), pages 1-21, May.
    43. Panwar, N.L. & Kaushik, S.C. & Kothari, Surendra, 2011. "Role of renewable energy sources in environmental protection: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(3), pages 1513-1524, April.
    44. Marcela Bindzarova Gergelova & Zofia Kuzevicova & Slavomir Labant & Stefan Kuzevic & Diana Bobikova & Jozef Mizak, 2020. "Roof’s Potential and Suitability for PV Systems Based on LiDAR: A Case Study of Komárno, Slovakia," Sustainability, MDPI, vol. 12(23), pages 1-22, November.
    45. Ural Kafle & Timothy Anderson & Sunil Prasad Lohani, 2023. "The Potential for Rooftop Photovoltaic Systems in Nepal," Energies, MDPI, vol. 16(2), pages 1-13, January.
    46. 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.
    47. Ghasemi, Golara & Noorollahi, Younes & Alavi, Hamed & Marzband, Mousa & Shahbazi, Mahmoud, 2019. "Theoretical and technical potential evaluation of solar power generation in Iran," Renewable Energy, Elsevier, vol. 138(C), pages 1250-1261.
    48. Vecchi, Francesca & Berardi, Umberto, 2024. "Solar analysis for an urban context from GIS to block-scale evaluations," Energy Policy, Elsevier, vol. 184(C).
    49. 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.
    50. Gastli, Adel & Charabi, Yassine, 2010. "Solar electricity prospects in Oman using GIS-based solar radiation maps," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(2), pages 790-797, February.
    51. Shiyu Jin & Hui Zhang & Xiaoxi Huang & Junle Yan & Haibo Yu & Ningcheng Gao & Xueying Jia & Zhengwei Wang, 2023. "Solar Energy Utilization Potential in Urban Residential Blocks: A Case Study of Wuhan, China," Sustainability, MDPI, vol. 15(22), pages 1-34, November.
    52. 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.
    53. Thebault, Martin & Desthieux, Gilles & Castello, Roberto & Berrah, Lamia, 2022. "Large-scale evaluation of the suitability of buildings for photovoltaic integration: Case study in Greater Geneva," Applied Energy, Elsevier, vol. 316(C).
    54. Pawita Bunme & Shuhei Yamamoto & Atsushi Shiota & Yasunori Mitani, 2021. "GIS-Based Distribution System Planning for New PV Installations," Energies, MDPI, vol. 14(13), pages 1-18, June.
    55. Oh, Myeongchan & Kim, Sung-Min & Park, Hyeong-Dong, 2020. "Estimation of photovoltaic potential of solar bus in an urban area: Case study in Gwanak, Seoul, Korea," Renewable Energy, Elsevier, vol. 160(C), pages 1335-1348.
    56. Miguel Centeno Brito & Paula Redweik & Cristina Catita & Sara Freitas & Miguel Santos, 2019. "3D Solar Potential in the Urban Environment: A Case Study in Lisbon," Energies, MDPI, vol. 12(18), pages 1-13, September.
    57. Arboit, M. & Diblasi, A. & Fernández Llano, J.C. & de Rosa, C., 2008. "Assessing the solar potential of low-density urban environments in Andean cities with desert climates: The case of the city of Mendoza, in Argentina," Renewable Energy, Elsevier, vol. 33(8), pages 1733-1748.
    58. Thai, Clinton & Brouwer, Jack, 2021. "Challenges estimating distributed solar potential with utilization factors: California universities case study," Applied Energy, Elsevier, vol. 282(PB).
    59. 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).
    60. Cheng, Liang & Zhang, Fangli & Li, Shuyi & Mao, Junya & Xu, Hao & Ju, Weimin & Liu, Xiaoqiang & Wu, Jie & Min, Kaifu & Zhang, Xuedong & Li, Manchun, 2020. "Solar energy potential of urban buildings in 10 cities of China," Energy, Elsevier, vol. 196(C).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Özdemir, Samed & Yavuzdoğan, Ahmet & Bilgilioğlu, Burhan Baha & Akbulut, Zeynep, 2023. "SPAN: An open-source plugin for photovoltaic potential estimation of individual roof segments using point cloud data," Renewable Energy, Elsevier, vol. 216(C).
    2. Sun, Tao & Shan, Ming & Rong, Xing & Yang, Xudong, 2022. "Estimating the spatial distribution of solar photovoltaic power generation potential on different types of rural rooftops using a deep learning network applied to satellite images," Applied Energy, Elsevier, vol. 315(C).
    3. Li, Qingyu & Krapf, Sebastian & Mou, Lichao & Shi, Yilei & Zhu, Xiao Xiang, 2024. "Deep learning-based framework for city-scale rooftop solar potential estimation by considering roof superstructures," Applied Energy, Elsevier, vol. 374(C).
    4. Lodhi, Muhammad Kamran & Tan, Yumin & Wang, Xiaolu & Masum, Syed Muhammad & Nouman, Khan Muhammad & Ullah, Nasim, 2024. "Harnessing rooftop solar photovoltaic potential in Islamabad, Pakistan: A remote sensing and deep learning approach," Energy, Elsevier, vol. 304(C).
    5. Ren, Haoshan & Xu, Chengliang & Ma, Zhenjun & Sun, Yongjun, 2022. "A novel 3D-geographic information system and deep learning integrated approach for high-accuracy building rooftop solar energy potential characterization of high-density cities," Applied Energy, Elsevier, vol. 306(PA).
    6. Liu, Jiang & Wu, Qifeng & Lin, Zhipeng & Shi, Huijie & Wen, Shaoyang & Wu, Qiaoyu & Zhang, Junxue & Peng, Changhai, 2023. "A novel approach for assessing rooftop-and-facade solar photovoltaic potential in rural areas using three-dimensional (3D) building models constructed with GIS," Energy, Elsevier, vol. 282(C).
    7. 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).
    8. Kapsalis, Vasileios & Maduta, Carmen & Skandalos, Nikolaos & Wang, Meng & Bhuvad, Sushant Suresh & D'Agostino, Delia & Ma, Tao & Raj, Uday & Parker, Danny & Peng, Jinqing & Karamanis, Dimitris, 2024. "Critical assessment of large-scale rooftop photovoltaics deployment in the global urban environment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 189(PB).
    9. 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.
    10. Aslani, Mohammad & Seipel, Stefan, 2022. "Automatic identification of utilizable rooftop areas in digital surface models for photovoltaics potential assessment," Applied Energy, Elsevier, vol. 306(PA).
    11. Jiang, Hou & Zhang, Xiaotong & Yao, Ling & Lu, Ning & Qin, Jun & Liu, Tang & Zhou, Chenghu, 2023. "High-resolution analysis of rooftop photovoltaic potential based on hourly generation simulations and load profiles," Applied Energy, Elsevier, vol. 348(C).
    12. Yang, Jinhao & Wu, Jinghua & Lu, Junjie & Peng, Xiangang & Yuan, Haoliang & Lai, Loi Lei, 2024. "A novel method for assessment rooftop PV potential based on remote sensing images," Renewable Energy, Elsevier, vol. 237(PC).
    13. Ding, Feng & Yang, Jianping & Zhou, Zan, 2023. "Economic profits and carbon reduction potential of photovoltaic power generation for China's high-speed railway infrastructure," Renewable and Sustainable Energy Reviews, Elsevier, vol. 178(C).
    14. Molnár, Gergely & Cabeza, Luisa F. & Chatterjee, Souran & Ürge-Vorsatz, Diana, 2024. "Modelling the building-related photovoltaic power production potential in the light of the EU's Solar Rooftop Initiative," Applied Energy, Elsevier, vol. 360(C).
    15. Zhang, Chen & Li, Zhixin & Jiang, Haihua & Luo, Yongqiang & Xu, Shen, 2021. "Deep learning method for evaluating photovoltaic potential of urban land-use: A case study of Wuhan, China," Applied Energy, Elsevier, vol. 283(C).
    16. Wei, Tianxi & Zhang, Yi & Zhang, Yuhang & Miao, Rui & Kang, Jian & Qi, He, 2024. "City-scale roof-top photovoltaic deployment planning," Applied Energy, Elsevier, vol. 368(C).
    17. Salim, Daniel Henrique Carneiro & de Sousa Mello, Caio César & Franco, Guilherme Gandra & de Albuquerque Nóbrega, Rodrigo Affonso & de Paula, Eduardo Coutinho & Fonseca, Bráulio Magalhães & Nero, Marc, 2023. "Unveiling Fernando de Noronha Island's photovoltaic potential with unmanned aerial survey and irradiation modeling," Applied Energy, Elsevier, vol. 337(C).
    18. Guglielmina Mutani & Valeria Todeschi, 2021. "Optimization of Costs and Self-Sufficiency for Roof Integrated Photovoltaic Technologies on Residential Buildings," Energies, MDPI, vol. 14(13), pages 1-25, July.
    19. Job Taminiau & John Byrne & Jongkyu Kim & Min‐Hwi Kim & Jeongseok Seo, 2022. "Inferential‐ and measurement‐based methods to estimate rooftop “solar city” potential in megacity Seoul, South Korea," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 11(5), September.
    20. Chen, Han & Chen, Wenying, 2021. "Status, trend, economic and environmental impacts of household solar photovoltaic development in China: Modelling from subnational perspective," Applied Energy, Elsevier, vol. 303(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:rensus:v:209:y:2025:i:c:s1364032124008384. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/600126/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.