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The Economic Influence of Energy Storage Construction in the Context of New Power Systems

Author

Listed:
  • Qiujie Sun

    (Economics and Technology Research Institute, State Grid Zhejiang Electric Power Corporation, Hangzhou 310014, China)

  • Jingyu Zhou

    (Economics and Technology Research Institute, State Grid Zhejiang Electric Power Corporation, Hangzhou 310014, China)

  • Zhou Lan

    (Economics and Technology Research Institute, State Grid Zhejiang Electric Power Corporation, Hangzhou 310014, China)

  • Xiangyang Ma

    (College of Chemistry and Chemical Engineering, Xiamen University, Xiamen 361005, China)

Abstract

The increase in the proportion of renewable energy in a new power system requires supporting the construction of energy storage to provide support for a safe and stable power supply. In this paper, the computable general equilibrium (CGE) quantitative assessment model is used coupled with a carbon emission module to comprehensively analyze the benefits and costs of energy storage construction from a macro perspective. Taking Zhejiang Province as an example, the investment in and construction of energy storage under the new power system of the 14th Five-Year Plan will slow down the economic growth of Zhejiang Province to a slight extent, but this investment and construction can improve the income level of residents and further redistribute the income structure. At the same time, energy storage investment and construction are conducive to building a clean, low-carbon, and efficient power system. The construction of energy storage can smooth out changes in electricity demand, while enhancing the electricity consumption of the residential sector, making the core sector’s electricity consumption more efficient. In addition, the construction of energy storage in the new power system has a positive effect on carbon emission reduction in Zhejiang Province, with the CO 2 growth rate being significantly lower than the baseline scenario.

Suggested Citation

  • Qiujie Sun & Jingyu Zhou & Zhou Lan & Xiangyang Ma, 2023. "The Economic Influence of Energy Storage Construction in the Context of New Power Systems," Sustainability, MDPI, vol. 15(4), pages 1-16, February.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:4:p:3070-:d:1061523
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    References listed on IDEAS

    as
    1. Das, Trishna & Krishnan, Venkat & McCalley, James D., 2015. "Assessing the benefits and economics of bulk energy storage technologies in the power grid," Applied Energy, Elsevier, vol. 139(C), pages 104-118.
    2. Jia, Zhijie, 2023. "The hidden benefit: Emission trading scheme and business performance of downstream enterprises," Energy Economics, Elsevier, vol. 117(C).
    3. Lin, Boqiang & Chen, Yu, 2020. "Will land transport infrastructure affect the energy and carbon dioxide emissions performance of China’s manufacturing industry?," Applied Energy, Elsevier, vol. 260(C).
    4. Lin, Boqiang & Wu, Wei, 2017. "Economic viability of battery energy storage and grid strategy: A special case of China electricity market," Energy, Elsevier, vol. 124(C), pages 423-434.
    5. Bao, Qin & Tang, Ling & Zhang, ZhongXiang & Wang, Shouyang, 2013. "Impacts of border carbon adjustments on China's sectoral emissions: Simulations with a dynamic computable general equilibrium model," China Economic Review, Elsevier, vol. 24(C), pages 77-94.
    6. Björn Nykvist & Måns Nilsson, 2015. "Rapidly falling costs of battery packs for electric vehicles," Nature Climate Change, Nature, vol. 5(4), pages 329-332, April.
    7. Berrada, Asmae & Loudiyi, Khalid & Zorkani, Izeddine, 2016. "Valuation of energy storage in energy and regulation markets," Energy, Elsevier, vol. 115(P1), pages 1109-1118.
    8. Jia, Zhijie & Lin, Boqiang, 2022. "CEEEA2.0 model: A dynamic CGE model for energy-environment-economy analysis with available data and code," Energy Economics, Elsevier, vol. 112(C).
    9. Rissman, Jeffrey & Bataille, Chris & Masanet, Eric & Aden, Nate & Morrow, William R. & Zhou, Nan & Elliott, Neal & Dell, Rebecca & Heeren, Niko & Huckestein, Brigitta & Cresko, Joe & Miller, Sabbie A., 2020. "Technologies and policies to decarbonize global industry: Review and assessment of mitigation drivers through 2070," Applied Energy, Elsevier, vol. 266(C).
    10. He, Y.X. & Zhang, S.L. & Yang, L.Y. & Wang, Y.J. & Wang, J., 2010. "Economic analysis of coal price-electricity price adjustment in China based on the CGE model," Energy Policy, Elsevier, vol. 38(11), pages 6629-6637, November.
    11. Saboori, Hedayat & Hemmati, Reza & Jirdehi, Mehdi Ahmadi, 2015. "Reliability improvement in radial electrical distribution network by optimal planning of energy storage systems," Energy, Elsevier, vol. 93(P2), pages 2299-2312.
    12. Rikun Wen & Shenjun Qi & Ahmad Jrade, 2016. "Simulation and Assessment of Whole Life-Cycle Carbon Emission Flows from Different Residential Structures," Sustainability, MDPI, vol. 8(8), pages 1-15, August.
    13. Lin, Boqiang & Chen, Yu, 2020. "Transportation infrastructure and efficient energy services: A perspective of China's manufacturing industry," Energy Economics, Elsevier, vol. 89(C).
    14. Han, Xiaojuan & Ji, Tianming & Zhao, Zekun & Zhang, Hao, 2015. "Economic evaluation of batteries planning in energy storage power stations for load shifting," Renewable Energy, Elsevier, vol. 78(C), pages 643-647.
    15. Lin, Boqiang & Wu, Wei, 2017. "Cost of long distance electricity transmission in China," Energy Policy, Elsevier, vol. 109(C), pages 132-140.
    16. Zhang, Lirong & Li, Yakun & Jia, Zhijie, 2018. "Impact of carbon allowance allocation on power industry in China’s carbon trading market: Computable general equilibrium based analysis," Applied Energy, Elsevier, vol. 229(C), pages 814-827.
    17. Lin, Boqiang & Wu, Wei, 2021. "The impact of electric vehicle penetration: A recursive dynamic CGE analysis of China," Energy Economics, Elsevier, vol. 94(C).
    18. Bradbury, Kyle & Pratson, Lincoln & Patiño-Echeverri, Dalia, 2014. "Economic viability of energy storage systems based on price arbitrage potential in real-time U.S. electricity markets," Applied Energy, Elsevier, vol. 114(C), pages 512-519.
    19. Dai, Hancheng & Fujimori, Shinichiro & Silva Herran, Diego & Shiraki, Hiroto & Masui, Toshihiko & Matsuoka, Yuzuru, 2017. "The impacts on climate mitigation costs of considering curtailment and storage of variable renewable energy in a general equilibrium model," Energy Economics, Elsevier, vol. 64(C), pages 627-637.
    20. Kebede, Abraham Alem & Kalogiannis, Theodoros & Van Mierlo, Joeri & Berecibar, Maitane, 2022. "A comprehensive review of stationary energy storage devices for large scale renewable energy sources grid integration," Renewable and Sustainable Energy Reviews, Elsevier, vol. 159(C).
    21. Cui, Qi & Liu, Yu & Ali, Tariq & Gao, Ji & Chen, Hao, 2020. "Economic and climate impacts of reducing China's renewable electricity curtailment: A comparison between CGE models with alternative nesting structures of electricity," Energy Economics, Elsevier, vol. 91(C).
    22. Heymans, Catherine & Walker, Sean B. & Young, Steven B. & Fowler, Michael, 2014. "Economic analysis of second use electric vehicle batteries for residential energy storage and load-levelling," Energy Policy, Elsevier, vol. 71(C), pages 22-30.
    23. Duomin Wang & Yubin Huangfu & Zuoji Dong & Yiqi Dong, 2022. "Research Hotspots and Evolution Trends of Carbon Neutrality—Visual Analysis of Bibliometrics Based on CiteSpace," Sustainability, MDPI, vol. 14(3), pages 1-27, January.
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