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The effects of CCUS combined with renewable energy penetration under the carbon peak by an SD-CGE model: Evidence from China

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  • Xiao, Kun
  • Yu, Bolin
  • Cheng, Lei
  • Li, Fei
  • Fang, Debin

Abstract

Carbon capture, utilization, and storage (CCUS) is identified as a critical decarbonization technology that is expected to be applied globally on a large scale, especially in a thermal power-dominated power system. To achieve a carbon peak in the power sector, assessing the environmental and economic effects, including the costs of CCUS application and the decarbonization efficiency, is essential for making a reasonable CCUS policy. However, there is still a research gap in identifying the proper CCUS application intensity considering the dynamic changing renewable energy percentage and power quantity. Therefore, this study constructs a “dynamic system- computable general equilibrium” (SD-CGE) model to reveal the industrial and macro impacts of CCUS application policies by comprehensively evaluating the social, economic, and environmental effects of CCUS application scenarios where different policy intensities are set. Using China as a typical case, the results show that, first, the policy of applying CCUS combined with renewable energy penetration will contribute to reaching the power sector’s carbon peak, however, building a new power system dominated by green power is a more challenging goal. Second, regarding the CCUS application intensity combined with renewable power penetration rate, it is proper to suggest setting the policy intensity as “medium-medium” for the optimal environmental and economic effects. Consequently, the power sector’s carbon peak year will be 2025, while green power will dominate the power supply in 2030. Third, through the model’s validation check, the models and results in this study are shown to be accurate and robust. This study provides policy support for constructing China’s new power system, is conducive to achieving the national carbon peak goal, and provides other countries with theoretical tools to study similar problems.

Suggested Citation

  • Xiao, Kun & Yu, Bolin & Cheng, Lei & Li, Fei & Fang, Debin, 2022. "The effects of CCUS combined with renewable energy penetration under the carbon peak by an SD-CGE model: Evidence from China," Applied Energy, Elsevier, vol. 321(C).
    • Handle: RePEc:eee:appene:v:321:y:2022:i:c:s0306261922007346
    DOI: 10.1016/j.apenergy.2022.119396
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    as
    1. Fan, Jing-Li & Xu, Mao & Li, Fengyu & Yang, Lin & Zhang, Xian, 2018. "Carbon capture and storage (CCS) retrofit potential of coal-fired power plants in China: The technology lock-in and cost optimization perspective," Applied Energy, Elsevier, vol. 229(C), pages 326-334.
    2. Jiang, Jingjing & Ye, Bin & Liu, Junguo, 2019. "Research on the peak of CO2 emissions in the developing world: Current progress and future prospect," Applied Energy, Elsevier, vol. 235(C), pages 186-203.
    3. Burandt, Thorsten & Xiong, Bobby & Löffler, Konstantin & Oei, Pao-Yu, 2019. "Decarbonizing China’s energy system – Modeling the transformation of the electricity, transportation, heat, and industrial sectors," Applied Energy, Elsevier, vol. 255(C).
    4. Cheng, Yuanyuan & Yao, Xin, 2021. "Carbon intensity reduction assessment of renewable energy technology innovation in China: A panel data model with cross-section dependence and slope heterogeneity," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
    5. Zhu, Yongnan & Ke, Jing & Wang, Jianhua & Liu, He & Jiang, Shan & Blum, Helcio & Zhao, Yong & He, Guohua & Meng, Yuan & Su, Jian, 2020. "Water transfer and losses embodied in the West–East electricity transmission project in China," Applied Energy, Elsevier, vol. 275(C).
    6. Zhao, Tian & Liu, Zhixin, 2019. "A novel analysis of carbon capture and storage (CCS) technology adoption: An evolutionary game model between stakeholders," Energy, Elsevier, vol. 189(C).
    7. Pakere, Ieva & Gravelsins, Armands & Lauka, Dace & Bazbauers, Gatis & Blumberga, Dagnija, 2021. "Linking energy efficiency policies toward 4th generation district heating system," Energy, Elsevier, vol. 234(C).
    8. Fan, Jing-Li & Wei, Shijie & Yang, Lin & Wang, Hang & Zhong, Ping & Zhang, Xian, 2019. "Comparison of the LCOE between coal-fired power plants with CCS and main low-carbon generation technologies: Evidence from China," Energy, Elsevier, vol. 176(C), pages 143-155.
    9. Zhang, Tao & Ma, Ying & Li, Angfei, 2021. "Scenario analysis and assessment of China’s nuclear power policy based on the Paris Agreement: A dynamic CGE model," Energy, Elsevier, vol. 228(C).
    10. Andrew J. Palmer & Julie A. Campbell & Barbara de Graaff & Nancy Devlin & Hasnat Ahmad & Philip M Clarke & Mingsheng Chen & Lei Si, 2021. "Population norms for quality adjusted life years for the United States of America, China, the United Kingdom and Australia," Health Economics, John Wiley & Sons, Ltd., vol. 30(8), pages 1950-1977, August.
    11. Li, Wei & Jia, Zhijie & Zhang, Hongzhi, 2017. "The impact of electric vehicles and CCS in the context of emission trading scheme in China: A CGE-based analysis," Energy, Elsevier, vol. 119(C), pages 800-816.
    12. Shair, Jan & Li, Haozhi & Hu, Jiabing & Xie, Xiaorong, 2021. "Power system stability issues, classifications and research prospects in the context of high-penetration of renewables and power electronics," Renewable and Sustainable Energy Reviews, Elsevier, vol. 145(C).
    13. Zhou, Kaile & Yang, Shanlin & Shen, Chao & Ding, Shuai & Sun, Chaoping, 2015. "Energy conservation and emission reduction of China’s electric power industry," Renewable and Sustainable Energy Reviews, Elsevier, vol. 45(C), pages 10-19.
    14. Fan, Jing-Li & Shen, Shuo & Wei, Shi-Jie & Xu, Mao & Zhang, Xian, 2020. "Near-term CO2 storage potential for coal-fired power plants in China: A county-level source-sink matching assessment," Applied Energy, Elsevier, vol. 279(C).
    15. Chen, Zhewen & Wang, Yanjuan & Zhang, Xiaosong & Xu, Jinliang, 2020. "The energy-saving mechanism of coal-fired power plant with S–CO2 cycle compared to steam-Rankine cycle," Energy, Elsevier, vol. 195(C).
    16. Roussanaly, S. & Aasen, A. & Anantharaman, R. & Danielsen, B. & Jakobsen, J. & Heme-De-Lacotte, L. & Neji, G. & Sødal, A. & Wahl, P.E. & Vrana, T.K. & Dreux, R., 2019. "Offshore power generation with carbon capture and storage to decarbonise mainland electricity and offshore oil and gas installations: A techno-economic analysis," Applied Energy, Elsevier, vol. 233, pages 478-494.
    17. Yu, Bolin & Fang, Debin & Meng, Jingxuan, 2021. "Analysis of the generation efficiency of disaggregated renewable energy and its spatial heterogeneity influencing factors: A case study of China," Energy, Elsevier, vol. 234(C).
    18. Viebahn, Peter & Daniel, Vallentin & Samuel, Höller, 2012. "Integrated assessment of carbon capture and storage (CCS) in the German power sector and comparison with the deployment of renewable energies," Applied Energy, Elsevier, vol. 97(C), pages 238-248.
    19. Cui, Qi & He, Ling & Han, Guoyi & Chen, Hao & Cao, Juanjuan, 2020. "Review on climate and water resource implications of reducing renewable power curtailment in China: A nexus perspective," Applied Energy, Elsevier, vol. 267(C).
    20. Kumar, Sandeep & Muhuri, Pranab K., 2019. "A novel GDP prediction technique based on transfer learning using CO2 emission dataset," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
    21. Wang, Huan & Chen, Wenying, 2019. "Modelling deep decarbonization of industrial energy consumption under 2-degree target: Comparing China, India and Western Europe," Applied Energy, Elsevier, vol. 238(C), pages 1563-1572.
    22. Demetriou, E. & Hadjistassou, C., 2021. "Can China decarbonize its electricity sector?," Energy Policy, Elsevier, vol. 148(PB).
    23. Eguchi, Shogo & Takayabu, Hirotaka & Lin, Chen, 2021. "Sources of inefficient power generation by coal-fired thermal power plants in China: A metafrontier DEA decomposition approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 138(C).
    24. Lin, Boqiang & Wu, Wei, 2021. "The impact of electric vehicle penetration: A recursive dynamic CGE analysis of China," Energy Economics, Elsevier, vol. 94(C).
    25. Xu, Shengqing, 2021. "The paradox of the energy revolution in China: A socio-technical transition perspective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 137(C).
    26. Nong, Duy & Simshauser, Paul, 2020. "On energy and climate change policies: The impact of baseline projections," Applied Energy, Elsevier, vol. 269(C).
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    6. Yang Tang & Yifeng Liu & Weiqiang Huo & Meng Chen & Shilong Ye & Lei Cheng, 2023. "Optimal Allocation Scheme of Renewable Energy Consumption Responsibility Weight under Renewable Portfolio Standards: An Integrated Evolutionary Game and Stochastic Optimization Approach," Energies, MDPI, vol. 16(7), pages 1-22, March.
    7. Xin-gang, Zhao & Shuran, Hu & Hui, Wang & Haowei, Chen & Wenbin, Zhang & Wenjie, Lu, 2024. "Energy, economic, and environmental impacts of electricity market-oriented reform and the carbon emissions trading: A recursive dynamic CGE model in China," Energy, Elsevier, vol. 298(C).
    8. Yu, Bolin & Fang, Debin & Xiao, Kun & Pan, Yuling, 2023. "Drivers of renewable energy penetration and its role in power sector's deep decarbonization towards carbon peak," Renewable and Sustainable Energy Reviews, Elsevier, vol. 178(C).
    9. Raphael Souza de Oliveira & Meire Jane Lima de Oliveira & Erick Giovani Sperandio Nascimento & Renelson Sampaio & Aloísio Santos Nascimento Filho & Hugo Saba, 2023. "Renewable Energy Generation Technologies for Decarbonizing Urban Vertical Buildings: A Path towards Net Zero," Sustainability, MDPI, vol. 15(17), pages 1-19, August.
    10. Zhao, Congyu & Dong, Kangyin & Wang, Kun & Nepal, Rabindra, 2024. "How does artificial intelligence promote renewable energy development? The role of climate finance," Energy Economics, Elsevier, vol. 133(C).
    11. Liu, Feng & van den Bergh, Jeroen & Wei, Yihang, 2024. "Testing mechanisms through which China's ETS promotes a low-carbon transition," Energy Economics, Elsevier, vol. 132(C).
    12. Tang, Liwei & Luo, Mansi & Li, Ke & Zhang, Fan, 2024. "Driving factors and peaking of CO2 emissions: An empirical analysis of Hunan Province," Energy, Elsevier, vol. 289(C).

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