Remote Sensing Technologies and Applications in Urban Environments 2016
DOI: 10.1117/12.2241407
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Assessing the urban solar energy resource potential of Davao City, Philippines, using LiDAR Digital Surface Model (DSM) and GRASS GIS

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Cited by 2 publications
(2 citation statements)
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“…); free government supported methods (e.g., NREL's System Advisor Model (SAM) [71] [74]); and open-source methods (e.g., r.sun/GRASS [75][76][77]) available for predicting; weather, solar flux and basic PV systems performance and modeling. This paper uses SAM for the performance and financial model designed to facilitate decision-making for the project considered.…”
Section: Solar Photovoltaic System Design Parametersmentioning
confidence: 99%
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“…); free government supported methods (e.g., NREL's System Advisor Model (SAM) [71] [74]); and open-source methods (e.g., r.sun/GRASS [75][76][77]) available for predicting; weather, solar flux and basic PV systems performance and modeling. This paper uses SAM for the performance and financial model designed to facilitate decision-making for the project considered.…”
Section: Solar Photovoltaic System Design Parametersmentioning
confidence: 99%
“…Such GIS software also derives raster representations of a hemispherical view shed, sun map, and sky map, which are used in the calculation of direct, diffuse, and global solar radiation [81]. A similar approach can be used for free with r.sun and GRASS [76,77,82]. Because of the direction of runways, the planes land and take off in both direction the runways.…”
Section: Available Surface Area For Photovoltaic Systemmentioning
confidence: 99%