中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Impact of turbine technology on wind energy potential and CO2 emission reduction under different wind resource conditions in China

文献类型:期刊论文

作者Liu, Fa1; Sun, Fubao1,2,3,4; Wang, Xunming1,4
刊名APPLIED ENERGY
出版日期2023-10-15
卷号348页码:10
ISSN号0306-2619
关键词Wind power Low wind speed regions Carbon neutrality Land use
DOI10.1016/j.apenergy.2023.121540
通讯作者Liu, Fa(liufa@igsnrr.ac.cn)
英文摘要Comprehensive knowledge about wind energy potential is critical for decision-making to achieve carbon neutrality and shape future energy pathways. Wind turbine technology advances (e.g., higher hub-heights, larger rotor diameters and rated power) can better support wind energy harvesting and alter wind energy potential. This study established an integrated model to evaluate the impact of wind turbine technology advances on onshore wind energy potentials under different wind resource conditions by using China as a case study. We found that technological advances of wind turbine can significantly impact wind energy potential. Compared with land-based 1.5-MW turbines, the onshore wind energy potential using newer generation turbines (landbased 2.5-MW turbines) would increase by 43% to 14.8 PWh (i.e., 2.0 times the electricity consumption of China in 2020). Importantly, advances in wind turbine technology can significantly increase capacity factor in poor wind resource regions, and thus enable economically viable generation in more areas. This can significantly increase wind energy potential in poor wind resource regions with large electrical load (e.g., Central, South and East China). Moreover, in contrast to the wind production of 0.46 PWh in 2020, China's wind energy potential is projected to hit 20.1 PWh by 2030 under the assumption of developed turbine technology in line with the trends of the past decade. The corresponding potential CO2 emission reduction would range from 12.6 Gt in 2020 to 21.7 Gt in 2030. These values are 1.3 and 2.2 times higher than China's CO2 emissions in 2020, respectively. To enhance wind energy contribution toward China's carbon neutrality goal, we recommend that the conversion of wind turbines to be accelerated, especially in poor wind resource regions with large electrical load.
WOS关键词ONSHORE WIND ; LAND-USE ; POWER ; SOLAR ; ELECTRICITY ; GENERATION ; COST
资助项目National Natural Science Foundation of China[42025104] ; National Natural Science Foundation of China[42101011] ; Program for the Kezhen-Bingwei Youth Talents[2021RC002] ; Key Frontier Program of Chinese Academy of Sciences[QYZDJSSW-DQC043] ; National Key Research and Development Program of China[2019YFA0606903]
WOS研究方向Energy & Fuels ; Engineering
语种英语
出版者ELSEVIER SCI LTD
WOS记录号WOS:001148157200001
资助机构National Natural Science Foundation of China ; Program for the Kezhen-Bingwei Youth Talents ; Key Frontier Program of Chinese Academy of Sciences ; National Key Research and Development Program of China
源URL[http://ir.igsnrr.ac.cn/handle/311030/202228]  
专题中国科学院地理科学与资源研究所
通讯作者Liu, Fa
作者单位1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China
2.Chinese Acad Sci, Xinjiang Inst Ecol & Geog, State Key Lab Desert & Oasis Ecol, Urumqi 830011, Peoples R China
3.Akesu Natl Stn Observat & Res Oasis Agroecosyst, Akesu 843017, Xinjiang, Peoples R China
4.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100039, Peoples R China
推荐引用方式
GB/T 7714
Liu, Fa,Sun, Fubao,Wang, Xunming. Impact of turbine technology on wind energy potential and CO2 emission reduction under different wind resource conditions in China[J]. APPLIED ENERGY,2023,348:10.
APA Liu, Fa,Sun, Fubao,&Wang, Xunming.(2023).Impact of turbine technology on wind energy potential and CO2 emission reduction under different wind resource conditions in China.APPLIED ENERGY,348,10.
MLA Liu, Fa,et al."Impact of turbine technology on wind energy potential and CO2 emission reduction under different wind resource conditions in China".APPLIED ENERGY 348(2023):10.

入库方式: OAI收割

来源:地理科学与资源研究所

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