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Distributed solar electricity generation across large geographic areas, Part Ⅰ: A method to optimize site selection, generation and storage

机译:跨大地理区域的分布式太阳能发电,第一部分:一种优化选址,发电和存储的方法

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Perhaps the greatest obstacle to large-scale solar energy generation is the intermittent nature of solar energy and the associated costly storage. This paper presents a method to optimize combinations of selected worldwide regions in different time zones with the surprising capability of providing sufficient electricity generation to overcome intermittency or reduce it to such an extent that substantially less storage and generation capacity are needed. The recent sharp drop in the cost of photovoltaic (PV) generation capability accompanied by worldwide increased investment in PV plants suggests a new economic base for cooperative efforts to sequentially combine day time insolation. The approach presented here optimizes two aspects, first, the selection of sites across large geographic areas, and second, the size and relative proportion of generation and storage capacity at each site. Our approach converts 20 years of daily insolation data by NASA Solar Sizer to hourly scale. The hourly data are used to assess and compare supranational distributed solar networks in different parts of the globe that have recently been proposed, and to subsequently optimize their generation capacity and storage. We show that linking regions in different time zones and on the two hemispheres can fully eliminate intermittency without the need for fuel and renewable energy other than solar.
机译:大规模太阳能生产的最大障碍也许是太阳能的间歇性和相关的昂贵存储。本文提出了一种方法,该方法可优化具有不同时区的世界范围内选定区域的组合,并具有令人惊讶的能力,即提供足够的发电量来克服间歇性或将其降低到需要更少的存储和发电量的程度。光伏(PV)发电能力成本的近期急剧下降,以及全球范围内对光伏电站投资的增加,为合作努力逐步整合日间日照提供了新的经济基础。这里介绍的方法优化了两个方面,第一,跨大地理区域的站点选择,第二,每个站点的发电量和存储容量的大小和相对比例。我们的方法将NASA Solar Sizer将20年的日照数据转换为小时刻度。每小时的数据用于评估和比较最近在全球不同地区提出的超国家分布式太阳能网络,并随后优化其发电能力和存储。我们表明,连接不同时区和两个半球的区域可以完全消除间歇性,而不需要除太阳能以外的燃料和可再生能源。

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