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An Operation Benefit Analysis and Decision Model of Thermal Power Enterprises in China against the Background of Large-Scale New Energy Consumption

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  • Xiaolong Yang

    (School of Economics and Management, North China Electric Power University, Beijing 102206, China
    School of Economics and Management, Northeast Electric Power University, Jilin 132012, China
    Beijing Key Laboratory of New Energy and Low-Carbon Development, Beijing 102206, China)

  • Dongxiao Niu

    (School of Economics and Management, North China Electric Power University, Beijing 102206, China
    Beijing Key Laboratory of New Energy and Low-Carbon Development, Beijing 102206, China)

  • Meng Chen

    (School of Economics and Management, North China Electric Power University, Beijing 102206, China
    Beijing Key Laboratory of New Energy and Low-Carbon Development, Beijing 102206, China)

  • Keke Wang

    (School of Economics and Management, North China Electric Power University, Beijing 102206, China
    Beijing Key Laboratory of New Energy and Low-Carbon Development, Beijing 102206, China)

  • Qian Wang

    (School of Economics and Management, Jilin University of Chemical Technology, Jilin 132022, China)

  • Xiaomin Xu

    (School of Economics and Management, North China Electric Power University, Beijing 102206, China
    Beijing Key Laboratory of New Energy and Low-Carbon Development, Beijing 102206, China)

Abstract

With the continuous increase in new energy installed capacity, the slowdown in the growth of social power consumption, the pressure created by high coal prices, and the reduction in on-grid electricity tariffs, the challenges facing the survival and development of thermal power generation enterprises are becoming more severe. Hence, based on the cost–benefit analysis method, this paper proposes a diversified operating benefit analysis and decision model for thermal power generation enterprises that includes four profit models: power sales, peak load regulation (without oil), peak load regulation (with oil), and generation right trading. The opportunity cost of peak load regulation and generation rights trading was considered, and six scenarios were designed. An empirical analysis was conducted by selecting a thermal power enterprise in Ningxia, Northwest China, as an example, using scenario and sensitivity analyses. The results show that under the diversified business model, thermal power generation enterprises can more effectively avoid the risks when the external environment changes and significantly improve its economic benefits. The consumption of new energy can be promoted, and positive social effects will be achieved. Therefore, the findings will help the thermal power generation enterprises to face these challenges.

Suggested Citation

  • Xiaolong Yang & Dongxiao Niu & Meng Chen & Keke Wang & Qian Wang & Xiaomin Xu, 2020. "An Operation Benefit Analysis and Decision Model of Thermal Power Enterprises in China against the Background of Large-Scale New Energy Consumption," Sustainability, MDPI, vol. 12(11), pages 1-19, June.
  • Handle: RePEc:gam:jsusta:v:12:y:2020:i:11:p:4642-:d:368099
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    References listed on IDEAS

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    1. Yinping Yang & Chao Qin & Yuan Zeng & Chengshan Wang, 2019. "Interval Optimization-Based Unit Commitment for Deep Peak Regulation of Thermal Units," Energies, MDPI, vol. 12(5), pages 1-21, March.
    2. He Huang & DaPeng Liang & Liang Liang & Zhen Tong, 2019. "Research on China’s Power Sustainable Transition Under Progressively Levelized Power Generation Cost Based on a Dynamic Integrated Generation–Transmission Planning Model," Sustainability, MDPI, vol. 11(8), pages 1-21, April.
    3. Alizadeh, M.I. & Parsa Moghaddam, M. & Amjady, N. & Siano, P. & Sheikh-El-Eslami, M.K., 2016. "Flexibility in future power systems with high renewable penetration: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 1186-1193.
    4. Huiru Zhao & Sen Guo, 2014. "Selecting Green Supplier of Thermal Power Equipment by Using a Hybrid MCDM Method for Sustainability," Sustainability, MDPI, vol. 6(1), pages 1-19, January.
    5. Orvika Rosnes, 2008. "The Impact of Climate Policies on the Operation of a Thermal Power Plant," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 1-22.
    6. Tang, Bao-Jun & Li, Ru & Li, Xiao-Yi & Chen, Hao, 2017. "An optimal production planning model of coal-fired power industry in China: Considering the process of closing down inefficient units and developing CCS technologies," Applied Energy, Elsevier, vol. 206(C), pages 519-530.
    7. Kopiske, Jakob & Spieker, Sebastian & Tsatsaronis, George, 2017. "Value of power plant flexibility in power systems with high shares of variable renewables: A scenario outlook for Germany 2035," Energy, Elsevier, vol. 137(C), pages 823-833.
    8. Xiaolong Yang & Yan Li & Dongxiao Niu & Lijie Sun, 2019. "Research on the Economic Benefit Evaluation of Combined Heat and Power (CHP) Technical Renovation Projects Based on the Improved Factor Analysis and Incremental Method in China," Sustainability, MDPI, vol. 11(19), pages 1-23, September.
    9. Xiaohua Song & Xiao Jiang & Xubei Zhang & Jinpeng Liu, 2018. "Analysis, Evaluation and Optimization Strategy of China Thermal Power Enterprises’ Business Performance Considering Environmental Costs under the Background of Carbon Trading," Sustainability, MDPI, vol. 10(6), pages 1-27, June.
    10. Ma, Xuejiao & Wang, Yong & Wang, Chen, 2017. "Low-carbon development of China's thermal power industry based on an international comparison: Review, analysis and forecast," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 942-970.
    11. Chunning Na & Jiahai Yuan & Yuhong Zhu & Li Xue, 2018. "Economic Decision-Making for Coal Power Flexibility Retrofitting and Compensation in China," Sustainability, MDPI, vol. 10(2), pages 1-22, January.
    12. Dianfa Wu & Zhiping Yang & Ningling Wang & Chengzhou Li & Yongping Yang, 2018. "An Integrated Multi-Criteria Decision Making Model and AHP Weighting Uncertainty Analysis for Sustainability Assessment of Coal-Fired Power Units," Sustainability, MDPI, vol. 10(6), pages 1-27, May.
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