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Analysis of Potential Distribution and Size of Photovoltaic Systems on Rural Rooftops A contribution to an optimized local energy storage system with a remote sensing and GIS-based approach in Swabia, Germany

机译:德国斯瓦比亚省遥感局部储存系统优化局部能量储存系统的潜在分布及大小分析及基于GIS的方法

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The present study as part of the joint research project "Smart-Power-Flow" (at Reiner Lemoine Institute for Renewable Energies) focuses on modelling PV systems' distribution in German rural communities. Although solar power energy systems in Germany have been increasing exponentially for the last 20 years (WRITH 2014), the majority of literature on PV potential has focused on rooftop PV systems in urban regions, and a small number of publications consider the typology of small rural communities. These areas, although less populated than cities, are where the highest PV potential in Germany is expected (DENA 2010), and, at the same time, where the availability of laser scanning data is highly incomplete, or not affordable for small administrations or projects. Several authors have used remotely-sensed imagery to quantify the PV potential on a regional scale, but only few authors (KJELLSSON 2000, BERGAMASCO & ASINARI 2011, JO & OTANICAR 2011) have attempted to use high-resolution images to quantify the suitable rooftop surface on a building basis, and none of them have addressed the particularities of rural communities.
机译:本研究作为联合研究项目的一部分“智能动力流”(Enver Lemoine Energies)(Reiner Lemoine Energies)侧重于德国农村社区的光伏系统分布。虽然德国的太阳能能源系统在过去的20年里一直在增加(2014年),但PV潜力的大多数文献都集中在城市地区的屋顶光伏系统,少数出版物考虑小型农村的类型社区。这些领域虽然填充少于城市,但德国最高光伏电位(Dena 2010),以及同时,激光扫描数据的可用性高度不完整,或者对于小型主管部门或项目而不能负担得起。几位作者使用了远程感测的图像来量化区域规模的光伏电位,但只有少数作者(Kjellsson 2000,Bergamasco&Asinari 2011,Jo&Otanicar 2011)已经尝试使用高分辨率图像量化合适的屋顶表面在建筑物的基础上,没有一个人已经解决了农村社区的特殊性。

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