Suppr超能文献

评估可再生能源的可持续性:对选定的 18 个欧洲国家的实证分析。

Assessing the sustainability of renewable energy: An empirical analysis of selected 18 European countries.

机构信息

School of Economics and Management, China University of Petroleum (East China), Qingdao, Shandong 266580, People's Republic of China; Institute for Energy Economics and Policy, China University of Petroleum (East China), Qingdao, Shandong 266580, People's Republic of China.

School of Economics and Management, China University of Petroleum (East China), Qingdao, Shandong 266580, People's Republic of China; Institute for Energy Economics and Policy, China University of Petroleum (East China), Qingdao, Shandong 266580, People's Republic of China.

出版信息

Sci Total Environ. 2019 Nov 20;692:529-545. doi: 10.1016/j.scitotenv.2019.07.170. Epub 2019 Jul 16.

Abstract

There are many studies on the sustainability of renewable energy, mainly focusing on energy supply, economic, social, environmental and technological aspects, but there are few studies on the sustainability of renewable energy itself. This work focuses on the systematic and quantitative assessment of the sustainability of renewable energy itself by analyzing the sustainability of renewable energy in selected 18 European countries from 2007 to 2016. The consumption of renewable energy in these selected 18 countries accounts for ~95% of the consumption of renewable energy in the European Union. To scientifically evaluate the sustainability of renewable energy, 17 indicators are selected based on the energy-economy-environment theory. In order to deal with the high-dimensional, non-normal, and nonlinear complex data, and to assess the sustainability of renewable energy without standards, the projection pursuit algorithm and the real-coded accelerating genetic algorithm are combined to establish a comprehensive model to assess the sustainability of renewable energy. The results show that (i) the sustainability of renewable energy in Germany, the UK, France, and Italy is better than that in the other investigated countries; (ii) in the 17 indicators selected by the energy-economy-environment model, the factors of total energy demand, energy taxes, carbon dioxide emissions, sulfur oxides emissions, and nitrous oxides emissions exert a stronger impact on the sustainability of renewable energy; (iii) time-series analysis show that the general sustainable level is a wave of growth. Moreover, the proposed comprehensive model can effectively deal with the high-dimensional, non-normal, and nonlinear complex data, thus providing a feasible method for the quantitative analysis and evaluation of the sustainability of renewable energy.

摘要

有许多关于可再生能源可持续性的研究,主要集中在能源供应、经济、社会、环境和技术方面,但很少有研究关注可再生能源本身的可持续性。这项工作通过分析 2007 年至 2016 年间选定的 18 个欧洲国家的可再生能源可持续性,重点关注可再生能源本身的系统和定量评估。这些选定的 18 个国家的可再生能源消费占欧盟可再生能源消费的~95%。为了科学评估可再生能源的可持续性,根据能源-经济-环境理论选择了 17 个指标。为了处理高维、非正态和非线性复杂数据,并在没有标准的情况下评估可再生能源的可持续性,结合投影寻踪算法和实码加速遗传算法,建立了一个综合模型来评估可再生能源的可持续性。结果表明:(i)德国、英国、法国和意大利的可再生能源可持续性优于其他研究国家;(ii)在能源-经济-环境模型中选择的 17 个指标中,总能源需求、能源税、二氧化碳排放、硫氧化物排放和氮氧化物排放等因素对可再生能源的可持续性影响更大;(iii)时间序列分析表明,总体可持续水平呈增长趋势。此外,所提出的综合模型可以有效地处理高维、非正态和非线性复杂数据,从而为可再生能源可持续性的定量分析和评估提供了一种可行的方法。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验