ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences (May 2024)

Estimation of Photovoltaic Potential of Urban Buildings Considering a Solar Panel Arrangement Using a 3D City Model

  • R. Matsuoka,
  • T. Takemoto,
  • G. Takahashi,
  • T. Inazawa,
  • S. Sogo

DOI
https://doi.org/10.5194/isprs-annals-X-4-W4-2024-123-2024
Journal volume & issue
Vol. X-4-W4-2024
pp. 123 – 130

Abstract

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Photovoltaic (PV) power generation is one of most promising means to prevent global warming in the present Japan. Since solar panels mounted on building façades are expected to come into wide use in urban areas, accurate estimation of PV potential of building façades is necessary for urban energy management planning. Accordingly, we have developed a system to estimate PV potential of urban buildings using a 3D city model. The system has two significant features: rapid estimation of hourly solar irradiance of points densely distributed on a building surface, and more flexible estimation of PV potential considering an arrangement of solar panels on a building surface. The paper reports our newly developed method to estimate PV potential of urban buildings considering an arrangement of solar panels using dense solar irradiance distribution on a building surface. The rapid estimation of dense solar irradiance distribution on a building surface enables the system to handle more flexible arrangement of solar panels with providing width and height of a solar panel, and clearance around solar panels. Considering some restrictions such as minimum solar irradiance of a solar panel makes PV potential estimated by the system become more realistic. The paper reports experiments conducted in seven urban districts in Japan to investigate the flexibility of the method by using various settings of panel installing conditions. Experiment results indicate that our developed method can estimate PV potential flexibly considering an arrangement of solar panels corresponding to various settings of panel installing conditions such as size of a solar panel.