GIS Modeling of Solar Neighborhood Potential at a Fine Spatiotemporal Resolution

Buildings

Annie Chow²  Alan S. Fung¹ 

[1] Mechanical & Industrial Engineering, Ryerson University, 350 Victoria St., Toronto, ON, M5B 2K3, Canada; E-Mail:;Environmental Applied Science & Management, Ryerson University, 350 Victoria St., Toronto, ON, M5B 2K3, Canada

关键词: solar potential;    geographic information systems;    computer modeling;    photovoltaics;    renewable energy;    community design;   

DOI  :  10.3390/buildings4020195

来源: mdpi

【 摘 要 】

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.

【 授权许可】

CC BY   
© 2014 by the authors; licensee MDPI, Basel, Switzerland.