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http://dx.doi.org/10.5762/KAIS.2020.21.3.556

Digital Surface Model based Proper Installation Site Analysis for Soundproof Wall Integrated Phtovoltaic System  

Youn, Junhee (Korea Institute of Civil Engineering and Building Technology)
Publication Information
Journal of the Korea Academia-Industrial cooperation Society / v.21, no.3, 2020 , pp. 556-563 More about this Journal
Abstract
Most of a BIPVS (Building Integrated Photovoltaic System) is installed on the rooftop or wall of a building. Therefore, the main factor to consider for selecting the installation site is the shadow effects produced by the surrounding buildings. On the other hand, when the photovoltaic was installed on soundproof walls, shadow effects were produced by not only surrounding buildings but also the surrounding trees. Therefore, a different data model and algorithm with the BIPVS case are essential for proper installation sites selection of a SIPVS (Soundproof wall Integrated Photovoltaic System). This paper deals with the DSM (Digital Surface Model)-based proper installation site analysis for SIPVS. First, the solar incident and altitude angles of the installation candidate sites (solar panel) during the year were calculated. Second, the shadow effects (shadowed or unshadowed) were determined for the candidate sites at each time with the DSM. Third, the amount of solar radiation was calculated with the incident angle for the candidate sites at an unshadowed period. The proper installation site of the SIPVS could then be selected by comparing the accumulated annual solar radiation for each candidate. The proposed algorithm was implemented as a prototype (Java program). From the experiment, the order of the installation suitability was determined among the nine candidates. The proposed algorithm could be used for proper BIPVS installation site analysis aimed at the lower part of a building and calculation of the expected power production.
Keywords
Digital Surface Model; SIPVS; Proper Installation Site; Shadow Effect; Solar Radiation;
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Times Cited By KSCI : 2  (Citation Analysis)
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