 Solar resource assessment of modern parking machines in an urban environmentNaveed ur Rehman, Milad Katebi, Faraz Shaikh and Miftah Al Karim Renewable Energy, 2020, vol. 149, issue C, 1406-1413 Abstract: This study presents a methodology for assessing the potential solar resource available at solar-powered parking machines installed in a typical city center. It is based on capturing fisheye images through an appropriate camera/lens. These images are then processed to classify the sky and non-sky pixels using a semi-automated sky detection method, also developed in this study. The processed images are then used to calculate the diffuse and beam solar potential of the site by estimating the visible fraction of the sky and the hours of the year during which the sun can be seen from the site, respectively. For the case study, 15 existing parking machines were analyzed in the central business district of Auckland (New Zealand). It was found that most of these machines were able to capture less than 50% of the available solar potential. Only two machines crossed the yearly irradiation threshold that represents the criterion for solar panel installation. If modern high-power solar-powered machines are used, selecting suitable locations for installation is crucial. Keywords: Solar potential; Solar parking; Parking meter; Fisheye image; Sky detection; Sky view factor (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:149:y:2020:i:c:p:1406-1413 DOI: 10.1016/j.renene.2019.10.131 Access Statistics for this article Renewable Energy is currently edited by Soteris A. Kalogirou and Paul Christodoulides More articles in Renewable Energy from Elsevier |
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