论文标题
数据质量对可再生能源潜在估计的影响
Impact of Data Quality on Renewable Energy Potential Estimations
论文作者
论文摘要
潜在的分析确定了可再生能源装置的可能位置,例如风力涡轮机和光伏阵列。但是,由于不同的假设,方法和数据集,先前潜在研究的结果并不一致。在这项研究中,我们比较了与区域和位置有关的常用土地使用数据源。与基础DLM和开放式街道地图相比,使用Corine土地覆盖物可高估典型的风电势分析中的潜在区域4.6和5.2。此外,我们基于土地资格分析,开发了陆上风,近海风和开放场光伏电势估计的方案,并使用3D建筑物数据计算屋顶光伏电势。例如,将在可自由访问的数据库TREP-DB中发布的所有行政级别的潜在能力和可能的位置,例如将其纳入能源系统模型。使用高分辨率的区域潜在分析对研究进行了验证,并针对文献中的其他研究进行了基准测试。立法者可以将文献的发现用于设计法规,由于所使用的数据集的差异,很少有可比性且一致。
Potential analyses identify possible locations for renewable energy installations, such as as wind turbines and photovoltaic arrays. The results of previous potential studies, however, are not consistent due to different assumptions, methods, and datasets. In this study, we compare commonly used land use data sources with regard to area and position. Using Corine Land Cover leads to an overestimation of the potential areas in a typical wind potential analysis by a factor of 4.6 and 5.2 in comparison to Basis-DLM and Open Street Map, respectively. Furthermore, we develop scenarios for onshore wind, offshore wind, and open-field photovoltaic potential estimations based on land eligibility analyses and calculate rooftop photovoltaic potential using 3D building data. The potential capacities and possible locations are published for all administrative levels in Germany in the freely accessible database trep-db, for example, to be incorporated into energy system models. The investigations are validated using high-resolution regional potential analyses and benchmarked against other studies in the literature. Findings from the literature, which can be used by legislators to design regulation, are rarely comparable and consistent due to differences in the datasets used.