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Simulation Study on the Energy Consumption Characteristics of Individual and Cluster Thermal Storage Electric Heating Systems

Author

Listed:
  • Bo Qu

    (School of Electrical Automation and Information Engineering, Tianjin University, Tianjin 300072, China
    China Electric Power Research Institute, Beijing 100192, China)

  • Hongjie Jia

    (School of Electrical Automation and Information Engineering, Tianjin University, Tianjin 300072, China)

  • Ling Cheng

    (School of Electrical Automation and Information Engineering, Tianjin University, Tianjin 300072, China
    China Electric Power Research Institute, Beijing 100192, China)

  • Xuming Wu

    (College of Materials Science and Engineering, Beijing University of Technology, Beijing 100124, China)

Abstract

This study investigates the energy consumption characteristics of individual and clustered thermal storage electric heating systems, focusing on their sustainability implications for regional load distribution and user energy consumption patterns. Simulation results show that thermal storage electric heating shifts peak energy demand from daytime to nighttime low-price hours, reducing electricity costs and optimizing grid load balancing. As the proportion of thermal storage electric heating increases from 10% to 30%, the daytime minimum load reduction rate rises from 7% to 22%, while the nighttime maximum load increase rate increases from 16% to 63%. This operational mode supports sustainable energy usage by alleviating daytime grid peak pressure and leveraging low-cost, off-peak electricity for heat storage. The findings highlight the potential of thermal storage electric heating to enhance energy efficiency, integrate renewable energy, and promote grid stability, contributing to a more sustainable energy system.

Suggested Citation

  • Bo Qu & Hongjie Jia & Ling Cheng & Xuming Wu, 2025. "Simulation Study on the Energy Consumption Characteristics of Individual and Cluster Thermal Storage Electric Heating Systems," Sustainability, MDPI, vol. 17(16), pages 1-17, August.
  • Handle: RePEc:gam:jsusta:v:17:y:2025:i:16:p:7548-:d:1729313
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    References listed on IDEAS

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    1. Bankel, Amanda & Mignon, Ingrid, 2022. "Solar business models from a firm perspective – an empirical study of the Swedish market," Energy Policy, Elsevier, vol. 166(C).
    2. Sommerfeldt, Nelson & Pearce, Joshua M., 2023. "Can grid-tied solar photovoltaics lead to residential heating electrification? A techno-economic case study in the midwestern U.S," Applied Energy, Elsevier, vol. 336(C).
    3. Wei, Zhichen & Calautit, John, 2023. "Predictive control of low-temperature heating system with passive thermal mass energy storage and photovoltaic system: Impact of occupancy patterns and climate change," Energy, Elsevier, vol. 269(C).
    4. Chen, Si-Yuan & Xue, Meng-Tian & Wang, Zhao-Hua & Tian, Xin & Zhang, Bin, 2022. "Exploring pathways of phasing out clean heating subsidies for rural residential buildings in China," Energy Economics, Elsevier, vol. 116(C).
    5. Brunner, Christoph & Deac, Gerda & Braun, Sebastian & Zöphel, Christoph, 2020. "The future need for flexibility and the impact of fluctuating renewable power generation," Renewable Energy, Elsevier, vol. 149(C), pages 1314-1324.
    6. Dahash, Abdulrahman & Ochs, Fabian & Tosatto, Alice, 2021. "Techno-economic and exergy analysis of tank and pit thermal energy storage for renewables district heating systems," Renewable Energy, Elsevier, vol. 180(C), pages 1358-1379.
    7. Bai, Chunyue & Zhan, Jinyan & Wang, Huihui & Yang, Zheng & Liu, Huizi & Liu, Wei & Wang, Chao & Chu, Xi & Teng, Yanmin, 2023. "Heating choices and residential willingness to pay for clean heating: Evidence from a household survey in rural China," Energy Policy, Elsevier, vol. 178(C).
    8. Lund, Peter D. & Lindgren, Juuso & Mikkola, Jani & Salpakari, Jyri, 2015. "Review of energy system flexibility measures to enable high levels of variable renewable electricity," Renewable and Sustainable Energy Reviews, Elsevier, vol. 45(C), pages 785-807.
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