Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1016/j.enpol.2019.110921 |
Sustainability efficiency assessment of the electricity mix of the 28 EU member countries combining data envelopment analysis and optimized projections | |
Zurano-Cervello, Patricia1; Pozo, Carlos2; Maria Mateo-Sanz, Josep1; Jimenez, Laureano1; Guillen-Gosalbez, Gonzalo3 | |
2019-11-01 | |
发表期刊 | ENERGY POLICY |
ISSN | 0301-4215 |
EISSN | 1873-6777 |
出版年 | 2019 |
卷号 | 134 |
文章类型 | Article |
语种 | 英语 |
国家 | Spain; England; Switzerland |
英文摘要 | Assessing the sustainability level of the power sector can aid the transition towards a sustainable energy system. In this contribution, we propose a novel approach to compare and optimize electricity mixes according to sustainability criteria and apply it to the 28 EU members. Our method combines life cycle assessment, data envelopment analysis (DEA) and rigorous mathematical programming tools in three main steps. Firstly, DEA is applied to assess the efficiency level of electricity mixes of EU member countries considering the three dimensions of sustainability. Then, electricity portfolios of inefficient countries are optimized by solving a model that seeks to attain the targets provided by DEA while simultaneously considering the technical aspects governing electricity generation. This model, which constitutes the cornerstone of our approach, complements standard DEA by ensuring realistic and meaningful targets. In the third step, we evaluate the electricity portfolios optimized previously by running DEA again. Our results suggest that energy policies in the EU should favor the deployment of hydropower, wind and solar, while simultaneously displacing non-renewable sources and bioenergy. The deployment of carbon capture and storage is also a potential alternative that could be incentivized via policies worded in terms of carbon intensity targets. |
英文关键词 | Sustainability Data envelopment analysis (DEA) Electricity mix Eco-efficiency Optimization Energy systems |
领域 | 气候变化 |
收录类别 | SCI-E ; SSCI |
WOS记录号 | WOS:000498307500027 |
WOS关键词 | DEA ENVIRONMENTAL ASSESSMENT ; LIFE-CYCLE ASSESSMENT ; ECO-EFFICIENCY ; UNDESIRABLE OUTPUTS ; HEALTH IMPACTS ; ENERGY ; GENERATION ; PRODUCTIVITY ; BENCHMARKING ; INDICATORS |
WOS类目 | Economics ; Energy & Fuels ; Environmental Sciences ; Environmental Studies |
WOS研究方向 | Business & Economics ; Energy & Fuels ; Environmental Sciences & Ecology |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/224513 |
专题 | 环境与发展全球科技态势 |
作者单位 | 1.Univ Rovira & Virgili, Dept Engn Quim, Av Paisos Catalans 26, E-43007 Tarragona, Spain; 2.Imperial Coll London, Dept Chem Engn, Ctr Proc Syst Engn, London SW7 2AZ, England; 3.Swiss Fed Inst Technol, Dept Chem & Appl Biosci, Inst Chem & Bioengn, Vladimir Prelog Weg 1, CH-8093 Zurich, Switzerland |
推荐引用方式 GB/T 7714 | Zurano-Cervello, Patricia,Pozo, Carlos,Maria Mateo-Sanz, Josep,et al. Sustainability efficiency assessment of the electricity mix of the 28 EU member countries combining data envelopment analysis and optimized projections[J]. ENERGY POLICY,2019,134. |
APA | Zurano-Cervello, Patricia,Pozo, Carlos,Maria Mateo-Sanz, Josep,Jimenez, Laureano,&Guillen-Gosalbez, Gonzalo.(2019).Sustainability efficiency assessment of the electricity mix of the 28 EU member countries combining data envelopment analysis and optimized projections.ENERGY POLICY,134. |
MLA | Zurano-Cervello, Patricia,et al."Sustainability efficiency assessment of the electricity mix of the 28 EU member countries combining data envelopment analysis and optimized projections".ENERGY POLICY 134(2019). |
条目包含的文件 | 条目无相关文件。 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论