five

Input and output data for the paper "Evaluating the German onshore wind auction programme: An analysis based on individual bids"

收藏
NIAID Data Ecosystem2026-05-01 收录
下载链接:
https://zenodo.org/record/8021172
下载链接
链接失效反馈
官方服务:
资源简介:
Batz Liñeiro, T., Müsgens, F., (2023). Energy Policy https://doi.org/10.1016/j.enpol.2022.113317 ABSTRACT Auctions are a highly demanded policy instrument for the promotion of renewable energy sources. Their flexible structure makes them adaptable to country-specific conditions and needs. However, their success depends greatly on how those needs are operationalised in the design elements. Disaggregating data from the German onshore wind auction programme into individual projects, we evaluated the contribution of auctions to the achievement of their primary (deployment at competitive prices) and secondary (diversity) objectives and have highlighted design elements that affect the policy's success or failure. We have shown that, in the German case, the auction scheme is unable to promote wind deployment at competitive prices, and that the design elements used to promote the secondary objectives not only fall short at achieving their intended goals but create incentives for large actors to game the system. Description The data package offered in this publication comprises input, processing, and output files, accompanied by the corresponding R-codes used for data processing at different stages. Among the various data outputs, the "Auctions" sheet within the file "3 Auction Realizations Onshore Wind" holds particular significance for users. Within this sheet, users can identify the realized projects, their respective IDs, and the reported individual bid values (BV). However, it is recommended to refer to the attached publication to gain a comprehensive understanding of the bid-value identification process. For users seeking to update the results, the input files can be easily updated by referring to partner publications that share the same file names. These partner publications include the UnitRegister, PaymentRegister, and TariffRegister datasets.
创建时间:
2023-06-11
二维码
社区交流群
二维码
科研交流群
商业服务