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

Guiqing Feng (), Kun Yu, Yuntian Zheng, Le Bu, Jinfan Chen, Wenli Xu and Xingying Chen
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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

Energies, 2025, vol. 18, issue 10, 1-18

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.

Keywords: zero-carbon buildings; source-load uncertainty; fuzzy chance constraints; intraday energy optimization (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2025
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