Wind power deployment and the impact of spatial planning policies

Jan-Niklas Meier, Paul Lehmann, Bernd Süssmuth, Stephan Wedekind
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Abstract

Spatio-environmental externalities of renewable energy deployment are mainly managed through spatial planning policies, like regional expansion goals, zoning designated areas, or setback distances. We provide a quantitative analysis of how effectively spatial planning policies can steer RES deployment, using the example of onshore wind power expansion in Germany. Based on a novel georeferenced dataset of wind turbines and spatial planning policies, we use a dynamic panel data model to explain yearly additions in wind power capacities. Most importantly, we find a strong positive impact of zoning specific land areas for wind power deployment. An additional square kilometer of designated area leads to an increase of 4.6% of yearly capacity additions per county. Not only the amount of designated area matters, but also the size and shape of each individual designated area. Small and elongated areas are, on average, associated with more wind power expansion than large and compact areas. Moreover, we find that in states with an expansion goal, capacity additions are 2.6% higher. In contrast, increasing the setback distance between turbine sites and settlements by 100 m is associated with reductions of yearly capacity additions by about 3.1%. Our findings show that policymakers can resort to spatial planning instruments in order to effectively arrange wind power deployment with other land uses.

Abstract Image

风力发电的部署和空间规划政策的影响
可再生能源部署的空间环境外部性主要通过空间规划政策来管理,如区域扩张目标、分区指定区域或后退距离。我们以德国陆上风电扩张为例,对空间规划政策如何有效引导可再生能源部署进行了定量分析。基于风力涡轮机和空间规划政策的新颖地理参照数据集,我们使用动态面板数据模型来解释风力发电能力的逐年增加。最重要的是,我们发现将特定土地区域划分为风力发电部署区具有很强的积极影响。指定区域每增加一平方公里,每个县的年新增发电量就会增加 4.6%。不仅指定区域的数量很重要,每个指定区域的大小和形状也很重要。平均而言,小而长的区域比大而紧凑的区域能带来更多的风电扩张。此外,我们还发现,在有扩张目标的州,新增发电量要高出 2.6%。与此相反,将涡轮机厂址与居民点之间的后退距离增加 100 米,每年的新增发电量就会减少约 3.1%。我们的研究结果表明,政策制定者可以借助空间规划手段,有效地将风电部署与其他土地利用结合起来。
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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