The Urban Rooftop Photovoltaic Potential Determination

被引:16
|
作者
Fakhraian, Elham [1 ]
Alier, Marc [2 ]
Valls Dalmau, Francesc [3 ]
Nameni, Alireza [1 ]
Casan Guerrero, Maria Jose [2 ]
机构
[1] Univ Politecn Cataluna, Inst Sustainabil, Barcelona 08034, Spain
[2] Univ Politecn Cataluna, Dept Serv & Informat Syst Engn ESSI, Barcelona 08034, Spain
[3] Univ Politecn Cataluna, Dept Architectural Representat, Barcelona 08028, Spain
关键词
rooftop photovoltaic potential; solar photovoltaics; urban solar potential; LIDAR; GIS; machine learning; SURFACE-AREA; LIDAR DATA; PV; CITY; BUILDINGS; METHODOLOGY; PERFORMANCE; SELECTION; SYSTEMS; IMPACT;
D O I
10.3390/su13137447
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Urban areas can be considered high-potential energy producers alongside their notable portion of energy consumption. Solar energy is the most promising sustainable energy in which urban environments can produce electricity by using rooftop-mounted photovoltaic systems. While the precise knowledge of electricity production from solar energy resources as well as the needed parameters to define the optimal locations require an adequate study, effective guidelines for optimal installation of solar photovoltaics remain a challenge. This paper aims to make a complete systematic review and states the vital steps with their data resources to find the urban rooftop PV potential. Organizing the methodologies is another novelty of this paper to create a complete global basis for future studies and improve a more detailed degree in this particular field.
引用
下载
收藏
页数:18
相关论文
共 50 条
  • [21] Carbon offset potential of rooftop photovoltaic systems in China
    Chen, Wanlin
    Yang, Shiyu
    Lai, Joseph H. K.
    SOLAR ENERGY, 2024, 274
  • [22] Spatial power fluctuation correlations in urban rooftop photovoltaic systems
    Elsinga, Boudewijn
    van Sark, Wilfried
    PROGRESS IN PHOTOVOLTAICS, 2015, 23 (10): : 1390 - 1397
  • [23] Application of Satellite Data for Estimating Rooftop Solar Photovoltaic Potential
    Sander, Leon
    Schindler, Dirk
    Jung, Christopher
    REMOTE SENSING, 2024, 16 (12)
  • [24] A data mining approach to estimating rooftop photovoltaic potential in the US
    Phillips, Caleb
    Elmore, Ryan
    Melius, Jenny
    Gagnon, Pieter
    Margolis, Robert
    JOURNAL OF APPLIED STATISTICS, 2019, 46 (03) : 385 - 394
  • [25] A method to estimate the potential of rooftop photovoltaic power generation for a region
    Yuan, Jihui
    Farnhama, Craig
    Emura, Kazuo
    Lu, Siqiang
    URBAN CLIMATE, 2016, 17 : 1 - 19
  • [26] Review of geographic information systems-based rooftop solar photovoltaic potential estimation approaches at urban scales
    Gassar, Abdo Abdullah Ahmed
    Cha, Seung Hyun
    APPLIED ENERGY, 2021, 291
  • [27] Evaluation Method for Hosting Capacity of Rooftop Photovoltaic Considering Photovoltaic Potential in Distribution System
    Xu, Yilin
    He, Jie
    Liu, Yang
    Li, Zilu
    Cai, Weicong
    Peng, Xiangang
    ENERGIES, 2023, 16 (22)
  • [28] Potential Estimation and Implementation Strategies for Solar Rooftop Photovoltaic in Delhi
    Garg, Mayank
    Shankar, Sai B.
    Bansal, Hari Om
    2014 6TH IEEE POWER INDIA INTERNATIONAL CONFERENCE (PIICON), 2014,
  • [29] Prediction of Rooftop Photovoltaic Solar Potential Using Machine Learning
    Mukilan, K.
    Thaiyalnayaki, K.
    Dwivedi, Yagya Dutta
    Isaac, J. Samson
    Poonia, Amarjeet
    Sharma, Arvind
    Al-Ammar, Essam A.
    Wabaidur, Saikh Mohammad
    Subramanian, B. B.
    Kassa, Adane
    INTERNATIONAL JOURNAL OF PHOTOENERGY, 2022, 2022
  • [30] Accurate modelling of the bifacial gain potential of rooftop solar photovoltaic systems
    Ernst, M.
    Liu, X.
    Asselineau, C. -A.
    Chen, D.
    Huang, C.
    Lennon, A.
    ENERGY CONVERSION AND MANAGEMENT, 2024, 300