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Buildings 2014, 4(2), 195-206; doi:10.3390/buildings4020195
Article

GIS Modeling of Solar Neighborhood Potential at a Fine Spatiotemporal Resolution

1,* , 2
 and 3
Received: 13 March 2014; in revised form: 11 April 2014 / Accepted: 14 May 2014 / Published: 21 May 2014
(This article belongs to the Special Issue Building Performance Analysis and Simulation)
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Abstract: This research presents a 3D geographic information systems (GIS) modeling approach at a fine spatiotemporal resolution to assess solar potential for the development of smart net-zero energy communities. It is important to be able to accurately identify the key areas on the facades and rooftops of buildings that receive maximum solar radiation, in order to prevent losses in solar gain due to obstructions from surrounding buildings and topographic features. A model was created in ArcGIS, in order to efficiently compute and iterate the hourly solar modeling and mapping process over a simulated year. The methodology was tested on a case study area located in southern Ontario, where two different 3D models of the site plan were analyzed. The accuracy of the work depends on the resolution and sky size of the input model. Future work is needed in order to create an efficient iterative function to speed the extraction process of the pixelated solar radiation data.
Keywords: solar potential; geographic information systems; computer modeling; photovoltaics; renewable energy; community design solar potential; geographic information systems; computer modeling; photovoltaics; renewable energy; community design
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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MDPI and ACS Style

Chow, A.; Fung, A.S.; Li, S. GIS Modeling of Solar Neighborhood Potential at a Fine Spatiotemporal Resolution. Buildings 2014, 4, 195-206.

AMA Style

Chow A, Fung AS, Li S. GIS Modeling of Solar Neighborhood Potential at a Fine Spatiotemporal Resolution. Buildings. 2014; 4(2):195-206.

Chicago/Turabian Style

Chow, Annie; Fung, Alan S.; Li, Songnian. 2014. "GIS Modeling of Solar Neighborhood Potential at a Fine Spatiotemporal Resolution." Buildings 4, no. 2: 195-206.


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