Can China's offshore wind power achieve grid parity in time?

被引:6
作者
Xiang, Chenxi [1 ]
Chen, Fei [2 ]
Wen, Fan [2 ]
Song, Feng [1 ]
机构
[1] Renmin Univ China, Sch Appl Econ, Beijing, Peoples R China
[2] State Grid Zhejiang Elect Power Co Ltd, Econ Res Inst, Hangzhou, Zhejiang, Peoples R China
关键词
Learning curve model; offshore wind power; grid parity; policy change; determining factors;
D O I
10.1080/15435075.2021.1897828
中图分类号
O414.1 [热力学];
学科分类号
摘要
Facing an increasing financial burden and declining costs, China plans to phase out supporting policies for renewable energy before 2030. In this context, whether offshore wind power can achieve grid parity by the time the subsidies are eliminated is a great concern for policy makers as well as potential investors. To address this issue, we employ the learning curve framework to analyze the critical conditions under which the key factors of offshore wind power technology should evolve to achieve grid parity in time. Ceteris paribus, to achieve grid parity in 2030, the learning rate needs to be as high as 12.0%, the annual deployment needs to be 5.9 GW, and the capacity factor needs to be improved to 40.7%. The feasibility of achieving these key conditions is discussed, and we conclude that the enhancement of innovative technologies is crucial for offshore wind power to improve its cost competitiveness in a finite time without policy support.
引用
收藏
页码:1219 / 1228
页数:10
相关论文
共 50 条
[21]   China Offshore Wind Power Costs and Environmental Impact Analysis [J].
Sun, Bo-yang ;
Yang, Xiao-hua ;
Huang, Jie-ting .
PROCEEDINGS OF THE 2ND 2016 INTERNATIONAL CONFERENCE ON SUSTAINABLE DEVELOPMENT (ICSD 2016), 2017, 94 :503-505
[22]   Study on Feasibility of Photovoltaic Power to Grid Parity in China Based on LCOE [J].
Lu, Zheng ;
Chen, Yunfei ;
Fan, Qiaoqiao .
SUSTAINABILITY, 2021, 13 (22)
[23]   A Review of the Development of Key Technologies for Offshore Wind Power in China [J].
Fan, Qixiang ;
Wang, Xin ;
Yuan, Jing ;
Liu, Xin ;
Hu, Hao ;
Lin, Peng .
JOURNAL OF MARINE SCIENCE AND ENGINEERING, 2022, 10 (07)
[24]   Complementarity of Brazil's hydro and offshore wind power [J].
Silva, Allan Rodrigues ;
Pimenta, Felipe Mendonca ;
Assireu, Arcilan Trevenzoli ;
Constantino Spyrides, Maria Helena .
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2016, 56 :413-427
[25]   Analysis of Interaction Between HVDC and Offshore Wind Power in Receiving End Grid [J].
Zhu, Ling ;
Hou, Yuqiang ;
Liu, Fusuo ;
Zhou, Qian ;
Zhang, Ningyu ;
Li, Wei ;
Zhang, Shuai .
2017 IEEE CONFERENCE ON ENERGY INTERNET AND ENERGY SYSTEM INTEGRATION (EI2), 2017,
[26]   Analysis of Maximum Output of Offshore Wind Power in ZS Power Grid Considering Voltage Stability [J].
Sun, Yikai ;
Zhang, Lijun ;
Zhang, Bo ;
Zhang, Jing ;
Zhagn, Xizhu ;
Wang, Jiawei ;
Liu, Xiaobo ;
Xue, Ancheng .
2019 9TH INTERNATIONAL CONFERENCE ON POWER AND ENERGY SYSTEMS (ICPES), 2019,
[27]   Research on the Comparison of Offshore Wind Power Management between China and UK [J].
Meng, Xue ;
Xu, Wei .
PROCEEDINGS OF THE 2016 INTERNATIONAL CONFERENCE ON CIVIL, TRANSPORTATION AND ENVIRONMENT, 2016, 78 :1380-1389
[28]   The influencing factors and hierarchical relationships of offshore wind power industry in China [J].
Yan Xu ;
Kun Yang ;
Guohao Zhao .
Environmental Science and Pollution Research, 2021, 28 :52329-52344
[29]   The influencing factors and hierarchical relationships of offshore wind power industry in China [J].
Xu, Yan ;
Yang, Kun ;
Zhao, Guohao .
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2021, 28 (37) :52329-52344
[30]   An overview on key technologies regarding power transmission and grid integration of large scale offshore wind power [J].
Chi Y. ;
Liang W. ;
Zhang Z. ;
Li Y. ;
Jin S. ;
Cai X. ;
Hu J. ;
Zhao S. ;
Tian W. .
Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering, 2016, 36 (14) :3758-3770