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Evaluation of photovoltaic potential application in urban environments using GIS-based method: the particular case of Baghdad / Iraq
Author(s) -
Israa Fadhil Ibraheem,
Mamoon A A Al-Jaafari
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1105/1/012083
Subject(s) - roof , shadow (psychology) , lidar , photovoltaic system , remote sensing , digital surface , situated , environmental science , computer science , geographic information system , orientation (vector space) , viewshed analysis , ranging , position (finance) , meteorology , civil engineering , geography , engineering , artificial intelligence , mathematics , telecommunications , psychology , electrical engineering , geometry , psychotherapist , finance , economics
This paper aims to develop a multi-criteria technique that originated in Geo-Information Systems ( GIS), horizontal radiation data and Light Detection and Ranging (LIDAR) to discover the installation potential of photovoltaic systems in an urban area and assess the output of yearly generation of electricity. In a small area in the center of Baghdad (Iraq), data that were obtained from LIDAR provide a precise representation of the urban environments through the development of a Digital Surface Model (DSM) that was utilized for computing the degree of the roofs of building local inclination and orientation using the impact of shadow for the different elements (other construction and trees). The paper introduces the possibility of distinguishing two forms of roof: for the first one, PV panels were situated parallel with the roofs, while for the second, the optimum position was obtained through the utilization of the structures to mount them. For the second case, the self-shading was considered. Incident radiation on the surface of panels is computed using a geometric technique that depends on horizontal radiation per hour, including direct and diffuse components. Finally, the evaluation of the effective production also includes panels efficiency and various sources of waste, particularly temperature.

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