Indicators for the usability of solar energy in India for the development of Islanded microgrids

F. Robert, S. Gopalan
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引用次数: 3

Abstract

1.2 billion people all over the world lack access to electricity, among them, 240 million live in India. Islanded microgrids can be an efficient solution to power remote villages. Solar resources are abundant in India and solar microgrids can be implemented with minimal technical know-how. To design efficient policy for remote electrification programs, the assessment of resources is fundamental. The available solar resource maps of India focus on local annual and monthly average Global Horizontal Irradiance (GHI). This paper investigates whether the GHI average for the month with the lowest value (MinMonthlylr) is a more suitable parameter to describe the true usefulness of solar resources. Islanded solar microgrids were simulated for 30 sites spread all over India. The results show that the optimal microgrid design does not depend on MinMonthlyIr. Instead, the annual average GHI and the latitude have been found to be good predictors of the usefulness of solar energy resource, with an accuracy of more than 96.5% in predicting the cost of electricity, in 29 microgrids out of 30.
印度用于发展岛屿微电网的太阳能可用性指标
全世界有12亿人用不上电,其中2.4亿人生活在印度。孤岛微电网可以成为为偏远村庄供电的有效解决方案。印度太阳能资源丰富,太阳能微电网可以用最少的技术诀窍来实施。为了制定有效的远程电气化计划政策,资源评估是至关重要的。印度现有的太阳能资源图侧重于当地的年和月平均全球水平辐照度(GHI)。本文探讨了GHI最低值月份(MinMonthlylr)的平均值是否更适合描述太阳能资源的真实有用性。在印度各地的30个地点模拟了岛屿太阳能微电网。结果表明,微电网优化设计不依赖于MinMonthlyIr。相反,年平均GHI和纬度被发现是太阳能资源有用性的良好预测指标,在30个微电网中的29个微电网中,预测电力成本的准确性超过96.5%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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