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Joshua M. Pearce >
Please use this identifier to cite or link to this item:
http://hdl.handle.net/1974/6432
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| Title: | Estimating Potential Photovoltaic Yield with r.sun and the Open Source Geographical Resources Analysis Support System |
| Authors: | Nguyen, H.T.
Pearce, J.M. |
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| Keywords: | GRASS GIS
GIS
photovoltaic
solar
renewable energy
solar energy
solar irradiation modeling
solar farm
r.sun
Geographical Resources Analysis Support System |
| Issue Date: | 2010 |
| Publisher: | Elsevier |
| Citation: | H.T. Nguyen and J.M. Pearce, “Estimating Potential Photovoltaic Yield with r.sun and the Open Source Geographical Resources Analysis Support System” Solar Energy 84, pp. 831-843, 2010. http://dx.doi.org/10.1016/j.solener.2010.02.009 |
| Abstract: | The package r.sun within the open source Geographical Resources Analysis Support System (GRASS) can be used to compute insolation including temporal and spatial variation of albedo and solar photovoltaic yield. A complete algorithm is presented covering the steps of data acquisition and
preprocessing to post simulation whereby candidate lands for incoming solar farms projects are identified. The optimal resolution to acquire reliable solar energy outputs to be integrated into PV
system design software was determined to be 1 square km. A case study using the algorithm developed here was performed on a North American region encompassing fourteen counties in Southeastern Ontario. It was confirmed for the case study that Ontario has a large potential for solar electricity. This region is found to possess over 935,000 acres appropriate for solar farm development, which could provide 90 GW of PV. This is nearly 60% of Ontario’s projected peak electricity demand in 2025. The
algorithm developed and tested in this paper can be generalized to any region in the world in order to foster the most environmentally-responsible development of large-scale solar farms. |
| URI: | http://hdl.handle.net/1974/6432 |
| Appears in Collections: | Joshua M. Pearce
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