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Author:

Xu, J.-H. (Xu, J.-H..) | Lu, Y. (Lu, Y..) | Bai, G. (Bai, G..) | Chi, Y. (Chi, Y..) | Su, L. (Su, L..)

Indexed by:

EI Scopus SCIE

Abstract:

Transnational power cooperation contributes to promoting the large-scale use of renewable energies in Asia, but how to develop the structure of power transmission network deserves careful investigation. This paper thoroughly investigates the structure of power investment and transmission network in China and neighbouring countries, aiming to promote the large-scale use of renewable energies around Asia. Various power-generation and power-transmission technologies are considered in detail, and transnational power interconnection risk cost and carbon emission cost are embedded into a bottom-up optimization model. The future power-generation structures and networks installed under various policy scenarios are analysed in detail, and the corresponding economic, carbon emission reduction and renewable energy consumption benefits are evaluated. The results show that power transmission between China's internal regions and neighbouring countries can save $56.7 billion for the entire power system through the large-scale grid integration of renewable energy. The installed capacities of wind power, solar power, and hydropower renewable energy power generation could be increased by 141 GW, 163 GW, and 58 GW, respectively. The construction of transnational transmission lines from Central Asia to Northwest China, Mongolia to North China, the Russian Far East to Northeast China, and Northeast China to South Korea could effectively promote the utilization of renewable energy in the Russian Far East, Mongolia and Central Asia and further reduce carbon emissions in China, Japan and South Korea. © 2023

Keyword:

China and its neighbouring countries Transnational power interconnection Bottom-up optimization model Renewable energy Power investment

Author Community:

  • [ 1 ] [Xu J.-H.]Institutes of Science and Development (ISD), Chinese Academy of Sciences, Beijing, 100190, China
  • [ 2 ] [Lu Y.]Power Economic Research Institute of Jilin Electric Power Co., Ltd., Jilin, China
  • [ 3 ] [Bai G.]School of Economics and Management, Beijing University of Technology, Beijing, China
  • [ 4 ] [Chi Y.]School of Economics and Management, Beijing University of Technology, Beijing, China
  • [ 5 ] [Su L.]Institutes of Science and Development (ISD), Chinese Academy of Sciences, Beijing, 100190, China

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Source :

Journal of Cleaner Production

ISSN: 0959-6526

Year: 2023

Volume: 433

1 1 . 1 0 0

JCR@2022

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 2

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 6

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