CO2 emissions of nuclear power and renewable energies: a statistical analysis of European and global data

Author:

Wagner FriedrichORCID

Abstract

AbstractIn this paper, we investigate the CO2 emissions caused by nuclear and renewable power generation. The knowledge of the share of coal, gas and oil in electricity generation permits the exact calculation of the related CO2 emissions. In addition, there is a second approach especially within the economic sciences, which applies statistical techniques for the study of the energy-related emissions. The background for these studies is the provision of general political advice and the expectation that political, cultural, or infrastructural considerations guide nations in the preference and choice of specific technologies. In this paper, we are applying both approaches and come to the certain conclusion, that nuclear power is as effective as renewable power in order to reduce the CO2 emissions. Our results are in complete contradiction to a recent publication (Sovacool et al. in Nat Energy 5:928–935, 2020. 10.1038/s41560-020-00696-3). The authors of this paper conclude that nuclear power does not reduce the CO2 emissions, but renewable power efficiently does. In addition, they argue that these two technologies crowd out each other. The possible reason for their claims may result from a specific conditioning of the data. In contrast, our analysis clearly confirms the adequacy of both nuclear and renewable power generation.

Funder

Max Planck Institute for Plasma Physics (IPP MPG)

Publisher

Springer Science and Business Media LLC

Subject

General Physics and Astronomy

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3