3.9 Article

Climate Change Mitigation Potential of Wind Energy

期刊

CLIMATE
卷 9, 期 9, 页码 -

出版社

MDPI
DOI: 10.3390/cli9090136

关键词

wind turbines; temperature change; avoided emissions; greenhouse gas emissions; renewable energy

资金

  1. U.S. Department of Energy (DoE) [DESC0016605]

向作者/读者索取更多资源

Global wind resources are abundant and the cost of energy from wind turbines has decreased significantly, making wind energy an important renewable energy source for reducing greenhouse gas emissions. Countries and regions are planning to increase wind energy penetration to mitigate climate change.
Global wind resources greatly exceed current electricity demand and the levelized cost of energy from wind turbines has shown precipitous declines. Accordingly, the installed capacity of wind turbines grew at an annualized rate of about 14% during the last two decades and wind turbines now provide similar to 6-7% of the global electricity supply. This renewable electricity generation source is thus already playing a role in reducing greenhouse gas emissions from the energy sector. Here we document trends within the industry, examine projections of future installed capacity increases and compute the associated climate change mitigation potential at the global and regional levels. Key countries (the USA, UK and China) and regions (e.g., EU27) have developed ambitious plans to expand wind energy penetration as core aspects of their net-zero emissions strategies. The projected climate change mitigation from wind energy by 2100 ranges from 0.3-0.8 degrees C depending on the precise socio-economic pathway and wind energy expansion scenario followed. The rapid expansion of annual increments to wind energy installed capacity by approximately two times current rates can greatly delay the passing of the 2 degrees C warming threshold relative to pre-industrial levels. To achieve the required expansion of this cost-effective, low-carbon energy source, there is a need for electrification of the energy system and for expansion of manufacturing and installation capacity.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

3.9
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据