Estimating potential photovoltaic yield with r.sun and the open source Geographical Resources Analysis Support System

被引:85
作者
Nguyen, H. T. [1 ]
Pearce, J. M. [1 ]
机构
[1] Queens Univ, Dept Mech & Mat Engn, Kingston, ON K7L 3N6, Canada
基金
加拿大自然科学与工程研究理事会;
关键词
GRASS GIS; Photovoltaic; Renewable energy; Solar energy; Solar irradiation modeling; SOLAR-RADIATION; REGULARIZED SPLINE; ENERGY; INTERPOLATION; SELECTION; CAPACITY; TENSION; MAPS;
D O I
10.1016/j.solener.2010.02.009
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
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 I square km. A case study using the algorithm developed here was performed on a North American region encompassing fourteen counties in South-eastern 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. (C) 2010 Elsevier Ltd. All rights reserved.
引用
收藏
页码:831 / 843
页数:13
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