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Environmental and economic multi-objective optimization of comprehensive energy industry: A case study

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  • Kong, Hui
  • Li, Zheng
  • Yu, Zhufeng
  • Zhang, Jun
  • Wang, Hongsheng
  • Wang, Jian
  • Gao, Dan

Abstract

Coal will continue to dominate the energy structure for a long time, however, the severe environmental issues require that coal should be cleanly and efficiently utilized. This work proposes to carry out integrated research on the optimization model of the coal and new energy-based industrial structure at the enterprise level. To meet the low-carbon requirements, a multi-objective superstructure optimization model of the coal and new energy-based energy structure under a variety of constraints is constructed, while the carbon emissions and total profits are selected as the objectives simultaneously. Then a case study is conducted with the industrial structure of a representative energy company as the study object. Via self-developed mixed programming to achieve the optimal solution of Pareto-frontier, this study analyzed the energy industry adjustment and layout optimization under three different scenarios. The turning point with the emission reduction rate of 2 % is recommended as the optimal choice under the baseline scenario, and new energy power generation has become a new growth point of the group's profits after adjusting the investment structure. Comparisons between the coal and new energy power generation prices will seriously affect the optimization and prediction results of the low-carbon scenario. The annual profit in 2020 will decrease significantly under the epidemic situation, but the change rules of emissions and profits are basically consistent with the baseline scenario. The research methods and quantitative results could be generalized for relevant comprehensive energy companies to adjust their strategic layout and make plans.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:energy:v:237:y:2021:i:c:s0360544221017825
    DOI: 10.1016/j.energy.2021.121534
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    References listed on IDEAS

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    1. Cui, Yunfei & Geng, Zhiqiang & Zhu, Qunxiong & Han, Yongming, 2017. "Review: Multi-objective optimization methods and application in energy saving," Energy, Elsevier, vol. 125(C), pages 681-704.
    2. Alarcon-Rodriguez, Arturo & Ault, Graham & Galloway, Stuart, 2010. "Multi-objective planning of distributed energy resources: A review of the state-of-the-art," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(5), pages 1353-1366, June.
    3. Laha, Priyanka & Chakraborty, Basab, 2021. "Low carbon electricity system for India in 2030 based on multi-objective multi-criteria assessment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
    4. Mu, Yaqian & Cai, Wenjia & Evans, Samuel & Wang, Can & Roland-Holst, David, 2018. "Employment impacts of renewable energy policies in China: A decomposition analysis based on a CGE modeling framework," Applied Energy, Elsevier, vol. 210(C), pages 256-267.
    5. Wu, Zhibin & Xu, Jiuping, 2013. "Predicting and optimization of energy consumption using system dynamics-fuzzy multiple objective programming in world heritage areas," Energy, Elsevier, vol. 49(C), pages 19-31.
    6. Ren, Hongbo & Gao, Weijun, 2010. "A MILP model for integrated plan and evaluation of distributed energy systems," Applied Energy, Elsevier, vol. 87(3), pages 1001-1014, March.
    7. Niknam, Taher & Narimani, Mohammad rasoul & Jabbari, Masoud & Malekpour, Ahmad Reza, 2011. "A modified shuffle frog leaping algorithm for multi-objective optimal power flow," Energy, Elsevier, vol. 36(11), pages 6420-6432.
    8. Kong, Hui & Kong, Xianghui & Wang, Jian & Zhang, Jun, 2019. "Thermodynamic analysis of a solar thermochemical cycle-based direct coal liquefaction system for oil production," Energy, Elsevier, vol. 179(C), pages 1279-1287.
    9. Kong, Hui & Hao, Yong & Jin, Hongguang, 2018. "Isothermal versus two-temperature solar thermochemical fuel synthesis: A comparative study," Applied Energy, Elsevier, vol. 228(C), pages 301-308.
    10. Suwal, Naresh & Huang, Xianfeng & Kuriqi, Alban & Chen, Yingqin & Pandey, Kamal Prasad & Bhattarai, Khem Prasad, 2020. "Optimisation of cascade reservoir operation considering environmental flows for different environmental management classes," Renewable Energy, Elsevier, vol. 158(C), pages 453-464.
    11. Khanali, Majid & Akram, Asadollah & Behzadi, Javad & Mostashari-Rad, Fatemeh & Saber, Zahra & Chau, Kwok-wing & Nabavi-Pelesaraei, Ashkan, 2021. "Multi-objective optimization of energy use and environmental emissions for walnut production using imperialist competitive algorithm," Applied Energy, Elsevier, vol. 284(C).
    Full references (including those not matched with items on IDEAS)

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    Cited by:

    1. 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.
    2. Kong, Hui & Wang, Jian & Zheng, Hongfei & Wang, Hongsheng & Zhang, Jun & Yu, Zhufeng & Bo, Zheng, 2022. "Techno-economic analysis of a solar thermochemical cycle-based direct coal liquefaction system for low-carbon oil production," Energy, Elsevier, vol. 239(PC).

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