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Research on the Structural Optimization of the Clean Energy Industry in the Context of Dual Carbon Strategy—A Case Study of Sichuan Province, China

Author

Listed:
  • Pan Jiang

    (School of Economics and Management, Southwest University of Science and Technology, Mianyang 621010, China
    These authors contributed equally to this work.)

  • Hanwen Zhang

    (School of Economics and Management, Mianyang City College, Mianyang 621000, China
    School of Economics, Xihua University, Chendu 610039, China
    These authors contributed equally to this work.)

  • Mengyue Li

    (School of Economics and Management, Southwest University of Science and Technology, Mianyang 621010, China)

  • Yuhan Zhang

    (School of Economics and Management, Southwest University of Science and Technology, Mianyang 621010, China)

  • Xiujuan Gong

    (School of Economics and Management, Southwest University of Science and Technology, Mianyang 621010, China)

  • Dong He

    (School of Economics, Xihua University, Chendu 610039, China)

  • Liang Liu

    (School of Economics and Management, Southwest University of Science and Technology, Mianyang 621010, China)

Abstract

As a major province for hydroelectric power in China, Sichuan Province has witnessed a great amount of seasonal characteristics in its hydroelectric power, endowing the clean energy industry in Sichuan with the characteristics of unstable supply in different seasons, strong power transmission capacity, and low production capacity of other non-fossil energy sources (except hydroelectric power). In this study, the mathematical model method was used to construct a structural optimization model of the clean energy industry in Sichuan Province, and to enable a quantitative analysis of the rationalization of the clean energy industrial structure in Sichuan Province. The results are proved from the cost-effectiveness of low carbon emission that hydroelectric power > wind power > photovoltaic power > natural gas > coal > oil. This study shall find the theoretical structure of the clean energy industry in Sichuan Province in 2030 with a prediction of Sichuan Province’s total future energy output and a constraint of its industrial structure model of clean energy. This paper suggests that Sichuan Province should give priority to the development of non-fossil energy sources, increase the development and utilization of power transmission channels in wet seasons, and develop clean energy and high energy consumption industries and the construction of pumped storage power stations, so as to reduce and avoid the waste of energy resources. It is also suggested that Sichuan Province should focus on developing clean energy with the capability of peak shaving, such as hydrogen energy and natural gas, while developing smart grid and long-distance transmission technology to strengthen energy conservation and emissions-reduced power generation. On this basis, Sichuan will focus on the development and utilization of natural gas as an alternative to high-carbon energy, with a view to optimizing its industrial structure of clean energy and helping China achieve the dual-carbon goals.

Suggested Citation

  • Pan Jiang & Hanwen Zhang & Mengyue Li & Yuhan Zhang & Xiujuan Gong & Dong He & Liang Liu, 2023. "Research on the Structural Optimization of the Clean Energy Industry in the Context of Dual Carbon Strategy—A Case Study of Sichuan Province, China," Sustainability, MDPI, vol. 15(4), pages 1-21, February.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:4:p:2993-:d:1060464
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    1. Wang, Xiong & Li, Jingyao & Ren, Xiaohang, 2022. "Asymmetric causality of economic policy uncertainty and oil volatility index on time-varying nexus of the clean energy, carbon and green bond," International Review of Financial Analysis, Elsevier, vol. 83(C).
    2. John Byrne & Job Taminiau & Kyung Nam Kim & Jeongseok Seo & Joohee Lee, 2016. "A solar city strategy applied to six municipalities: integrating market, finance, and policy factors for infrastructure‐scale photovoltaic development in Amsterdam, London, Munich, New York, Seoul, an," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 5(1), pages 68-88, January.
    3. Yingxue Rao & Min Zhou & Chunxia Cao & Shukui Tan & Yan Song & Zuo Zhang & Deyi Dai & Guoliang Ou & Lu Zhang & Xin Nie & Aiping Deng & Zhuoma Cairen, 2019. "Exploring the quantitive relationship between economic benefit and environmental constraint using an inexact chance-constrained fuzzy programming based industrial structure optimization model," Quality & Quantity: International Journal of Methodology, Springer, vol. 53(4), pages 2199-2220, July.
    4. He, Yong & Liao, Nuo & Lin, Kunrong, 2021. "Can China's industrial sector achieve energy conservation and emission reduction goals dominated by energy efficiency enhancement? A multi-objective optimization approach," Energy Policy, Elsevier, vol. 149(C).
    5. Xiongfeng Pan & Mengna Li & Chenxi Pu & Haitao Xu, 2021. "Study on the industrial structure optimization under constraint of energy intensity," Energy & Environment, , vol. 32(1), pages 134-151, February.
    6. Zhao, Jun & Jiang, Qingzhe & Dong, Xiucheng & Dong, Kangyin & Jiang, Hongdian, 2022. "How does industrial structure adjustment reduce CO2 emissions? Spatial and mediation effects analysis for China," Energy Economics, Elsevier, vol. 105(C).
    7. Yang, Zhenbing & Shi, Qingquan & Lv, Xiangqiu & Shi, Qi, 2022. "Heterogeneous low-carbon targets and energy structure optimization: Does stricter carbon regulation really matter?," Structural Change and Economic Dynamics, Elsevier, vol. 60(C), pages 329-343.
    8. Xu, Yue & Tian, Shu & Wang, Qingsong & Yuan, Xueliang & Ma, Qiao & Liu, Mengyue & Xu, Zhaopeng & Liu, Jixiang & Xu, Xiang & Liu, Chengqing, 2021. "Optimization path of energy-economy system from the perspective of minimum industrial structure adjustment," Energy, Elsevier, vol. 237(C).
    9. Liu, Yaqin & Zhang, Jingchao & Zhu, Zhishuang & Zhao, Guohao, 2019. "Impacts of the 3E (economy, energy and environment) coordinated development on energy mix in China: The multi-objective optimisation perspective," Structural Change and Economic Dynamics, Elsevier, vol. 50(C), pages 56-64.
    10. Liu, Yazhou & Bian, Jiacong & Li, Xiangmei & Liu, Shuyi & Lageson, David & Yin, Yingkai, 2020. "The optimization of regional industrial structure under the water-energy constraint: A case study on Hebei Province in China," Energy Policy, Elsevier, vol. 143(C).
    11. Ren, Boru & Lucey, Brian, 2022. "A clean, green haven?—Examining the relationship between clean energy, clean and dirty cryptocurrencies," Energy Economics, Elsevier, vol. 109(C).
    12. Kong, Hui & Li, Zheng & Yu, Zhufeng & Zhang, Jun & Wang, Hongsheng & Wang, Jian & Gao, Dan, 2021. "Environmental and economic multi-objective optimization of comprehensive energy industry: A case study," Energy, Elsevier, vol. 237(C).
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    2. Xiangxin Meng & Yakun Zhang & Zekun Wu & Wenzhe Tang, 2023. "Enhancing Operations Management of Pumped Storage Power Stations by Partnering from the Perspective of Multi-Energy Complementarity," Energies, MDPI, vol. 16(19), pages 1-19, October.

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