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来源类型 | Article |
规范类型 | 其他 |
DOI | 10.1016/j.enpol.2017.01.028 |
A techno-economic analysis of EU renewable electricity policy pathways in 2030. | |
del Río P; Resch G; Ortner A; Liebmann L; Busch S; Panzer C | |
发表日期 | 2017 |
出处 | Energy Policy 104: 484-493 |
出版年 | 2017 |
语种 | 英语 |
摘要 | The aim of this paper is to assess several pathways of a harmonised European policy framework for supporting renewable electricity (RES-E) in a 2030 horizon according to different criteria. The pathways combine two main dimensions: degrees of harmonisation and instruments and design elements. A quantitative model-based analysis with the Green-X model is provided. The results of the simulations show that there are small differences between the evaluated cases regarding effectiveness. All the policy pathways score similarly with respect to RES-E deployment, i.e., with different degrees of harmonisation and whether using a feed-in tariff, a feed-in premium, a quota system with banding or a quota without banding scheme. In contrast, the policy costs clearly differ across the pathways, but the differences can mostly be attributed to the instruments rather than to the degrees of harmonisation. This is also the case with other criteria (static and dynamic efficiency and the socioeconomic and environmental benefits in terms of CO2 emissions and fossil fuels avoided). Both the degree of harmonisation and the choice of instrument influence the distribution of support costs across countries. Finally, our findings suggest that keeping strengthened national support leads to similar results to other policy pathways. |
主题 | Transitions to New Technologies (TNT) |
关键词 | Renewable electricity Policy Model simulations Cost-effectiveness |
URL | http://pure.iiasa.ac.at/id/eprint/14372/ |
来源智库 | International Institute for Applied Systems Analysis (Austria) |
引用统计 | |
资源类型 | 智库出版物 |
条目标识符 | http://119.78.100.153/handle/2XGU8XDN/131099 |
推荐引用方式 GB/T 7714 | del Río P,Resch G,Ortner A,et al. A techno-economic analysis of EU renewable electricity policy pathways in 2030.. 2017. |
条目包含的文件 | 条目无相关文件。 |
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