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Optimization of Energy Use for Zero-Carbon Buildings Considering Intraday Source-Load Uncertainties

Author

Listed:
  • Guiqing Feng

    (SEC (Shenzhen) Innovation & Technology Co., Ltd., Shenzhen 518000, China)

  • Kun Yu

    (School of Electrical and Power Engineering, Hohai University, Nanjing 210024, China)

  • Yuntian Zheng

    (School of Electrical and Power Engineering, Hohai University, Nanjing 210024, China)

  • Le Bu

    (School of Electrical and Power Engineering, Hohai University, Nanjing 210024, China)

  • Jinfan Chen

    (School of Electrical and Power Engineering, Hohai University, Nanjing 210024, China)

  • Wenli Xu

    (School of Electrical and Power Engineering, Hohai University, Nanjing 210024, China)

  • Xingying Chen

    (School of Electrical and Power Engineering, Hohai University, Nanjing 210024, China)

Abstract

Building operational energy consumption accounts for a significant share of global energy consumption, and it is crucial to promote renewable energy self-sufficiency and operational optimization for zero-carbon buildings. However, scheduling strategies relying on day-ahead forecasts have limitations, and ignoring the ambiguity of short-term source-load forecasts is prone to the risk of scheduling failures. To address this issue, this study proposes an intraday optimization method for zero-carbon buildings under the source-load fuzzy space, which innovatively constructs a fuzzy chance constraint model of Photovoltaic (PV) output and load demand, enforces energy self-sufficiency as a constraint, and establishes a multi-objective optimization framework with thermal comfort as the main objective and power adjustment balance as the sub-objective, so as to quantify the decision risk through intraday energy optimization. Experiments show that the proposed method quantifies the decision-maker’s risk preference through fuzzy opportunity constraints, balances conservatism and aggressive strategies, and improves thermal comfort while safeguarding energy independence, providing a risk-controllable scheduling paradigm for the decarbonized operation of buildings.

Suggested Citation

  • Guiqing Feng & Kun Yu & Yuntian Zheng & Le Bu & Jinfan Chen & Wenli Xu & Xingying Chen, 2025. "Optimization of Energy Use for Zero-Carbon Buildings Considering Intraday Source-Load Uncertainties," Energies, MDPI, vol. 18(10), pages 1-18, May.
  • Handle: RePEc:gam:jeners:v:18:y:2025:i:10:p:2582-:d:1657512
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    References listed on IDEAS

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    4. Anna Eingartner & Steffi Naumann & Philipp Schmitz & Karl Worthmann, 2024. "Adjustable Robust Energy Operation Planning under Uncertain Renewable Energy Production," Energies, MDPI, vol. 17(8), pages 1-14, April.
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