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A scalable method for estimating rooftop solar irradiation potential over large regions

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Cited by:

  1. Hui Zhang & Xiaoxi Huang & Zhengwei Wang & Shiyu Jin & Benlin Xiao & Yanyan Huang & Wei Zhong & Aofei Meng, 2024. "An Estimation of the Available Spatial Intensity of Solar Energy in Urban Blocks in Wuhan, China," Energies, MDPI, vol. 17(5), pages 1-26, February.
  2. Kristian Skeie & Arild Gustavsen, 2021. "Utilising Open Geospatial Data to Refine Weather Variables for Building Energy Performance Evaluation—Incident Solar Radiation and Wind-Driven Infiltration Modelling," Energies, MDPI, vol. 14(4), pages 1-32, February.
  3. Bucher, Dominik & Buffat, René & Froemelt, Andreas & Raubal, Martin, 2019. "Energy and greenhouse gas emission reduction potentials resulting from different commuter electric bicycle adoption scenarios in Switzerland," Renewable and Sustainable Energy Reviews, Elsevier, vol. 114(C), pages 1-1.
  4. Sredenšek, Klemen & Štumberger, Bojan & Hadžiselimović, Miralem & Mavsar, Primož & Seme, Sebastijan, 2022. "Physical, geographical, technical, and economic potential for the optimal configuration of photovoltaic systems using a digital surface model and optimization method," Energy, Elsevier, vol. 242(C).
  5. Ammar Hamoud Ahmad Dehwah & Muhammad Asif & Ismail Mohammad Budaiwi & Adel Alshibani, 2020. "Techno-Economic Assessment of Rooftop PV Systems in Residential Buildings in Hot–Humid Climates," Sustainability, MDPI, vol. 12(23), pages 1-19, December.
  6. Buffat, René & Raubal, Martin, 2019. "Spatio-temporal potential of a biogenic micro CHP swarm in Switzerland," Renewable and Sustainable Energy Reviews, Elsevier, vol. 103(C), pages 443-454.
  7. Yagli, Gokhan Mert & Yang, Dazhi & Gandhi, Oktoviano & Srinivasan, Dipti, 2020. "Can we justify producing univariate machine-learning forecasts with satellite-derived solar irradiance?," Applied Energy, Elsevier, vol. 259(C).
  8. Li, Yue & Luo, Hao & Cai, Hua, 2023. "Photovoltaic-battery powered bike share stations are not necessarily energy self-sufficient," Applied Energy, Elsevier, vol. 348(C).
  9. Liu, Junling & Li, Mengyue & Xue, Liya & Kobashi, Takuro, 2022. "A framework to evaluate the energy-environment-economic impacts of developing rooftop photovoltaics integrated with electric vehicles at city level," Renewable Energy, Elsevier, vol. 200(C), pages 647-657.
  10. Suntiti Yoomak & Theerasak Patcharoen & Atthapol Ngaopitakkul, 2019. "Performance and Economic Evaluation of Solar Rooftop Systems in Different Regions of Thailand," Sustainability, MDPI, vol. 11(23), pages 1-20, November.
  11. You, Siming & Lim, Yu Jie & Dai, Yanjun & Wang, Chi-Hwa, 2018. "On the temporal modelling of solar photovoltaic soiling: Energy and economic impacts in seven cities," Applied Energy, Elsevier, vol. 228(C), pages 1136-1146.
  12. Martin, H. & Buffat, R. & Bucher, D. & Hamper, J. & Raubal, M., 2022. "Using rooftop photovoltaic generation to cover individual electric vehicle demand—A detailed case study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 157(C).
  13. Zheng, Jianan & Liu, Wenjun & Cui, Ting & Wang, Hanchun & Chen, Fangcai & Gao, Yang & Fan, Liulu & Ali Abaker Omer, Altyeb & Ingenhoff, Jan & Zhang, Xinyu & Liu, Wen, 2023. "A novel domino-like snow removal system for roof PV arrays: Feasibility, performance, and economic benefits," Applied Energy, Elsevier, vol. 333(C).
  14. 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).
  15. 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).
  16. Liao, Xuan & Zhu, Rui & Wong, Man Sing & Heo, Joon & Chan, P.W. & Kwok, Coco Yin Tung, 2023. "Fast and accurate estimation of solar irradiation on building rooftops in Hong Kong: A machine learning-based parameterization approach," Renewable Energy, Elsevier, vol. 216(C).
  17. Gupta, Rahul & Sossan, Fabrizio & Paolone, Mario, 2021. "Countrywide PV hosting capacity and energy storage requirements for distribution networks: The case of Switzerland," Applied Energy, Elsevier, vol. 281(C).
  18. 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).
  19. Edun, Ayobami S. & Perry, Kirsten & Harley, Joel B. & Deline, Chris, 2021. "Unsupervised azimuth estimation of solar arrays in low-resolution satellite imagery through semantic segmentation and Hough transform," Applied Energy, Elsevier, vol. 298(C).
  20. Maria. C. Bueso & José Miguel Paredes-Parra & Antonio Mateo-Aroca & Angel Molina-García, 2020. "A Characterization of Metrics for Comparing Satellite-Based and Ground-Measured Global Horizontal Irradiance Data: A Principal Component Analysis Application," Sustainability, MDPI, vol. 12(6), pages 1-18, March.
  21. 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).
  22. 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).
  23. 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).
  24. Ahmadipour, Masoud & Hizam, Hashim & Othman, Mohammad Lutfi & Radzi, Mohd Amran Mohd & Murthy, Avinash Srikanta, 2018. "Islanding detection technique using Slantlet Transform and Ridgelet Probabilistic Neural Network in grid-connected photovoltaic system," Applied Energy, Elsevier, vol. 231(C), pages 645-659.
  25. 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.
  26. Walch, Alina & Castello, Roberto & Mohajeri, Nahid & Scartezzini, Jean-Louis, 2020. "Big data mining for the estimation of hourly rooftop photovoltaic potential and its uncertainty," Applied Energy, Elsevier, vol. 262(C).
  27. 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).
  28. Primož Mavsar & Klemen Sredenšek & Bojan Štumberger & Miralem Hadžiselimović & Sebastijan Seme, 2019. "Simplified Method for Analyzing the Availability of Rooftop Photovoltaic Potential," Energies, MDPI, vol. 12(22), pages 1-17, November.
  29. 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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