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Analyzing the Effects of Governmental Policy and Solar Power on Facilitating Carbon Neutralization in the Context of Energy Transition: A Four-Party Evolutionary Game Study

Author

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  • Yuechao Chao

    (School of Energy and Power Engineering, Northeast Electric Power University, Jilin 132012, China)

  • Gang Wang

    (School of Energy and Power Engineering, Northeast Electric Power University, Jilin 132012, China)

Abstract

For achieving carbon neutralization and promoting the coordinated development of solar and coal-fired power generations in the context of energy transition, this paper develops a public–private partnership project including the government, carbon exchange enterprise, solar thermal power plant and a coal-fired thermal power plant. Using the four-party evolutionary game theory method, the evolutionary stable strategies are evaluated. The influence estimate results of key factors show that a higher carbon emission penalty and a green electricity subsidy as well as a lower carbon trading tax rate will be beneficial to the carbon trading market, as well as facilitate carbon neutralization. In most instances, the government and carbon exchange enterprise can hold acceptable participating intention. For relatively suitable reference value ranges, the carbon emission quota sale price range of the solar thermal power plant sold to the carbon exchange enterprise is 5.5~6.0 USD/t, that of the carbon exchange enterprise sold to the coal-fired thermal power plant is 5.0~6.5 USD/t, that of the solar thermal power plant sold to the coal-fired thermal power plant is 5.0~5.5 USD/t, that sold to the coal-fired thermal power plant by outside organizations is 9.0~10.5 USD/t, and the carbon trading tax rate range is 6.0~6.2%.

Suggested Citation

  • Yuechao Chao & Gang Wang, 2023. "Analyzing the Effects of Governmental Policy and Solar Power on Facilitating Carbon Neutralization in the Context of Energy Transition: A Four-Party Evolutionary Game Study," Sustainability, MDPI, vol. 15(6), pages 1-21, March.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:6:p:5388-:d:1100651
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    1. Fan, Ruguo & Dong, Lili, 2018. "The dynamic analysis and simulation of government subsidy strategies in low-carbon diffusion considering the behavior of heterogeneous agents," Energy Policy, Elsevier, vol. 117(C), pages 252-262.
    2. Fang, Juan & Liu, Qibin & Guo, Shaopeng & Lei, Jing & Jin, Hongguang, 2019. "Spanning solar spectrum: A combined photochemical and thermochemical process for solar energy storage," Applied Energy, Elsevier, vol. 247(C), pages 116-126.
    3. Angelo Antoci & Simone Borghesi & Gianluca Iannucci & Paolo Russu, 2020. "Emission permits, innovation and sanction in an evolutionary game," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 37(2), pages 525-546, July.
    4. Pengcheng Xue & Jiaxin Liu & Binbin Liu & Chuang Zhu, 2023. "Impact of Urbanisation on the Spatial and Temporal Evolution of Carbon Emissions and the Potential for Emission Reduction in a Dual-Carbon Reduction Context," Sustainability, MDPI, vol. 15(6), pages 1-14, March.
    5. 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).
    6. Wang, Gang & Wang, Shukun & Cao, Yong & Chen, Zeshao, 2022. "Design and performance evaluation of a novel hybrid solar-gas power and ORC-based hydrogen-production system," Energy, Elsevier, vol. 251(C).
    7. Zhao, Rui & Zhou, Xiao & Han, Jiaojie & Liu, Chengliang, 2016. "For the sustainable performance of the carbon reduction labeling policies under an evolutionary game simulation," Technological Forecasting and Social Change, Elsevier, vol. 112(C), pages 262-274.
    8. Benjamin Allen & Gabor Lippner & Yu-Ting Chen & Babak Fotouhi & Naghmeh Momeni & Shing-Tung Yau & Martin A. Nowak, 2017. "Evolutionary dynamics on any population structure," Nature, Nature, vol. 544(7649), pages 227-230, April.
    9. Wang, Gang & Wang, Fasi & Shen, Fan & Chen, Zeshao & Hu, Peng, 2019. "Novel design and thermodynamic analysis of a solar concentration PV and thermal combined system based on compact linear Fresnel reflector," Energy, Elsevier, vol. 180(C), pages 133-148.
    10. Wang, Gang & Zhang, Zhen & Chen, Zeshao, 2023. "Design and performance evaluation of a novel CPV-T system using nano-fluid spectrum filter and with high solar concentrating uniformity," Energy, Elsevier, vol. 267(C).
    11. Garcia, Humberto E. & Chen, Jun & Kim, Jong S. & Vilim, Richard B. & Binder, William R. & Bragg Sitton, Shannon M. & Boardman, Richard D. & McKellar, Michael G. & Paredis, Christiaan J.J., 2016. "Dynamic performance analysis of two regional Nuclear Hybrid Energy Systems," Energy, Elsevier, vol. 107(C), pages 234-258.
    12. Wang, Gang & Wang, Cheng & Chen, Zeshao & Hu, Peng, 2020. "Design and performance evaluation of an innovative solar-nuclear complementarity power system using the S–CO2 Brayton cycle," Energy, Elsevier, vol. 197(C).
    13. Singh, G.K., 2013. "Solar power generation by PV (photovoltaic) technology: A review," Energy, Elsevier, vol. 53(C), pages 1-13.
    14. Wang, Gang & Chao, Yuechao & Chen, Zeshao, 2021. "Promoting developments of hydrogen powered vehicle and solar PV hydrogen production in China: A study based on evolutionary game theory method," Energy, Elsevier, vol. 237(C).
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