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Spatially-explicit models should consider real-world diffusion of renewable electricity: Solar PV example in Switzerland

机译:空间明晰模型应考虑可再生能源在现实世界中的扩散:瑞士的太阳能光伏示例

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Spatially-explicit bottom-up energy models with detailed renewable energy representation are increasingly developed. In order to inform such models, we investigate spatial diffusion patterns of solar PV projects in 2'222 Swiss municipalities. Using a dataset of feed-in tariff and one-time subsidy recipients in 2016, we show that PV diffusion was spatially uneven throughout Switzerland in terms of four indicators: the number of PV projects per municipality, per 1'000 inhabitants, per unit of municipal electricity demand, and per unit of municipal land area. Urban-rural divide and exploitable solar PV potential are the key, but not the only predictors of the spatial heterogeneity in PV diffusion. The structure of the municipal economy, socio-demographic characteristics, regional spillover effects, and additional differences in local contexts, such as local policies, matter as well. Spatial diffusion patterns to some extent structurally differ across sub-national regions too, indicating that such empirical investigations are valuable in order to understand what can be generalized. We conclude with recommendations for developing and validating spatially-resolved energy models so that they capture realistic patterns of solar PV diffusion: gather, maintain and analyze spatial data on PV projects and develop robust modelling functions that do not only rely on PV potential. (C) 2019 Elsevier Ltd. All rights reserved.
机译:具有详细的可再生能源表示的空间明晰的自下而上的能源模型正在不断发展。为了告知此类模型,我们调查了2'222瑞士各市太阳能光伏项目的空间扩散模式。使用2016年的上网电价和一次性补贴接收者的数据集,我们显示出瑞士的光伏扩散在四个指标上在空间上是不均匀的:每个市政当局,每1000名居民,每单位人口的光伏项目数量市政用电需求,以及每单位市政用地面积。城乡差距和可利用的太阳能光伏潜力是关键,但并不是光伏扩散空间异质性的唯一预测因素。市政经济的结构,社会人口特征,区域溢出效应以及当地情况(如地方政策)中的其他差异也很重要。不同地区之间的空间扩散模式在结构上也有所不同,这表明这种经验研究对于理解可以概括的内容是有价值的。我们以开发和验证空间分辨能量模型的建议作为结尾,以便它们捕获太阳能PV扩散的现实模式:收集,维护和分析PV项目的空间数据,并开发不仅依赖于PV潜力的强大建模功能。 (C)2019 Elsevier Ltd.保留所有权利。

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