How Will the Capital Cost Influence the Integration of CCS Coal Plants into the Chinese Low-carbon Optimal Power Expansion Plan by 2050?

DOI
  • Yi Ye
    Finished Ph.D program without the degree, Dep. of Nuclear Eng.& Mgmt., University of Tokyo
  • Gyanwali Khem
    Department of Mechanical Engineering, Institute of Engineering, Tribhuvan University
  • Komiyama Ryoichi
    Department of Nuclear Engineering and Management, the University of Tokyo
  • Fujii Yasumasa
    Department of Nuclear Engineering and Management, the University of Tokyo
  • Yamaguchi Akira
    Department of Nuclear Engineering and Management, the University of Tokyo

抄録

As the worldwide largest electricity producer and national highest CO2 emitting sector, the Chinese power sector is facing considerable challenges to meet the current tremendous and future growing electricity need, while addressing the emission issues. As the primary CO2 release source in the power system, coal-fired power dominates the capacity mix with 59% of the total in 2019. Therefore, it is urgent for the coal power industry to speed up reducing carbon emission. Carbon capture and storage (CCS) is a promising technology for coal power plants to mitigate CO2 release. However, considerable uncertainty exists in its capital cost because of the technical immaturity. This work models China’s optimal power expansion plan by 2050 under the 2℃ emission target with a dynamic high spatial-temporal model and investigates the capital-cost impacts on power planning. The result shows that: (1) CCS need to be applied, and its capital cost must be lowered to maintain coal-fired power capacity, otherwise, its capacity ratio will have to be reduced to 9.48% of the national total by 2050 (1700 $/kW scenario) to meet the 2℃ emission target; (2) renewables would dominate the power generation by 52.6%~62.8%, while their variability problem must be handled with increasing power transmission, flexible operation of ramp generators, pumped-hydro storage and power curtailment.

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詳細情報 詳細情報について

  • CRID
    1390571481509019136
  • NII論文ID
    130008115428
  • DOI
    10.24778/jjser.42.6_368
  • ISSN
    24330531
  • 本文言語コード
    en
  • データソース種別
    • JaLC
    • CiNii Articles
    • KAKEN
  • 抄録ライセンスフラグ
    使用不可

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