Optimization of Energy Use for Zero-Carbon Buildings Considering Intraday Source-Load Uncertainties
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...
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| Format: | Article |
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MDPI AG
2025-05-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/18/10/2582 |
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| author | Guiqing Feng Kun Yu Yuntian Zheng Le Bu Jinfan Chen Wenli Xu Xingying Chen |
| author_facet | Guiqing Feng Kun Yu Yuntian Zheng Le Bu Jinfan Chen Wenli Xu Xingying Chen |
| author_sort | Guiqing Feng |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-99e4ef19a66f4957a0796e7d42d3e311 |
| institution | OA Journals |
| issn | 1996-1073 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj-art-99e4ef19a66f4957a0796e7d42d3e3112025-08-20T01:56:28ZengMDPI AGEnergies1996-10732025-05-011810258210.3390/en18102582Optimization of Energy Use for Zero-Carbon Buildings Considering Intraday Source-Load UncertaintiesGuiqing Feng0Kun Yu1Yuntian Zheng2Le Bu3Jinfan Chen4Wenli Xu5Xingying Chen6SEC (Shenzhen) Innovation & Technology Co., Ltd., Shenzhen 518000, ChinaSchool of Electrical and Power Engineering, Hohai University, Nanjing 210024, ChinaSchool of Electrical and Power Engineering, Hohai University, Nanjing 210024, ChinaSchool of Electrical and Power Engineering, Hohai University, Nanjing 210024, ChinaSchool of Electrical and Power Engineering, Hohai University, Nanjing 210024, ChinaSchool of Electrical and Power Engineering, Hohai University, Nanjing 210024, ChinaSchool of Electrical and Power Engineering, Hohai University, Nanjing 210024, ChinaBuilding 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.https://www.mdpi.com/1996-1073/18/10/2582zero-carbon buildingssource-load uncertaintyfuzzy chance constraintsintraday energy optimization |
| spellingShingle | Guiqing Feng Kun Yu Yuntian Zheng Le Bu Jinfan Chen Wenli Xu Xingying Chen Optimization of Energy Use for Zero-Carbon Buildings Considering Intraday Source-Load Uncertainties Energies zero-carbon buildings source-load uncertainty fuzzy chance constraints intraday energy optimization |
| title | Optimization of Energy Use for Zero-Carbon Buildings Considering Intraday Source-Load Uncertainties |
| title_full | Optimization of Energy Use for Zero-Carbon Buildings Considering Intraday Source-Load Uncertainties |
| title_fullStr | Optimization of Energy Use for Zero-Carbon Buildings Considering Intraday Source-Load Uncertainties |
| title_full_unstemmed | Optimization of Energy Use for Zero-Carbon Buildings Considering Intraday Source-Load Uncertainties |
| title_short | Optimization of Energy Use for Zero-Carbon Buildings Considering Intraday Source-Load Uncertainties |
| title_sort | optimization of energy use for zero carbon buildings considering intraday source load uncertainties |
| topic | zero-carbon buildings source-load uncertainty fuzzy chance constraints intraday energy optimization |
| url | https://www.mdpi.com/1996-1073/18/10/2582 |
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