Incorporating Shading Losses in Solar Photovoltaic Potential Assessment at the Municipal Scale

Solar Energy 86(5), pp. 1245–1260 (2012).

23 Pages Posted: 5 Apr 2012

See all articles by Ha Nguyen

Ha Nguyen

Queen's University

Joshua M. Pearce

Michigan Technological University; Aalto University

Date Written: 2012

Abstract

Recently several algorithms have been developed to calculate the solar photovoltaic (PV) potential on the basis of 2.5D raster data that can capture urban morphology. This study provides a new algorithm that (i) incorporates both terrain and near surface shadowing effects on the beam component; (ii) scales down the diffuse components of global irradiation; and (iii) utilizes free and open source GRASS and the module r.sun in modeling irradiation. This algorithm is semi-automatic and easy to upgrade or correct (no hand drawn areas), open source, detailed and provides rules of thumb for PV system design at the municipal level. The workflow is pilot tested on LiDAR data for 100 buildings in downtown Kingston, Ontario. Shading behavior was considered and suitable roof sections for solar PV installations selected using a multi-criteria objective. At sub-meter resolution and small time steps the effect of occlusion from near object was determined. Annual daily horizontal irradiation values were refined at 0.55m resolution and were shown to be lower than those obtained at 90 m by 30%. The robustness of r.sun as capable of working with different levels of surface complexity has been confirmed. Finally, the trade off of each computation option (spatial resolution, time step and shading effect) has been quantified at the meso scale, to assist planners in developing the appropriate computation protocols for their regions.

Keywords: GIS, Photovoltaic, Renewable energy, Solar energy, Solar irradiation modeling, Shading

JEL Classification: Q42, Q48

Suggested Citation

Nguyen, Ha and Pearce, Joshua M., Incorporating Shading Losses in Solar Photovoltaic Potential Assessment at the Municipal Scale (2012). Solar Energy 86(5), pp. 1245–1260 (2012). , Available at SSRN: https://ssrn.com/abstract=2035096

Ha Nguyen

Queen's University ( email )

Kingston, Ontario K7L 3N6
Canada

HOME PAGE: http://www.appropedia.org/Category:Queens_Applied_Sustainability_Group

Joshua M. Pearce (Contact Author)

Michigan Technological University ( email )

Houghton, MI 49931
United States

HOME PAGE: http://www.mse.mtu.edu/~pearce/Index.html

Aalto University ( email )

P.O. Box 21210
Helsinki, 00101
Finland

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