Research and Demonstration of Operation Optimization Method of Zero-Carbon Building’s Compound Energy System Based on Day-Ahead Planning and Intraday Rolling Optimization Algorithm

The compound energy system is an important component of zero-carbon buildings. Due to the complex form of the system and the difficult-to-capture characteristics of thermo-electric coupling interactions, the operation control of the zero-carbon building’s energy system is difficult in practical engineering. Therefore, it is necessary to carry out relevant optimization methods. This paper investigated the current research status of the control and scheduling of compound energy systems in zero-carbon buildings at home and abroad, selected a typical zero-carbon building as the research object, analyzed its energy system’s operational data, and proposed an operation scheduling algorithm based on day-ahead flexible programming and intraday rolling optimization. The multi-energy flow control algorithm model was developed to optimize the operation strategy of heat pump, photovoltaic, and energy storage systems. Then, the paper applied the algorithm model to a typical zero-carbon building project, and verified the actual effect of the method through the actual operational data. After applying the method in this paper, the self-absorption rate of photovoltaic power generation in the building increased by 7.13%. The research results provide a theoretical model and data support for the operation control of the zero-carbon building’s compound energy system, and could promote the market application of the compound energy system.

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Publication Details

Journal
Buildings
Published
2025-03-06
DOI
https://doi.org/10.3390/buildings15050836
Citations
3
Primary Topic
Energy Load and Power Forecasting
Type
article
Field-Weighted Citation Impact
2.19
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article

Research and Demonstration of Operation Optimization Method of Zero-Carbon Building’s Compound Energy System Based on Day-Ahead Planning and Intraday Rolling Optimization Algorithm

Fei Lu, Jiankai Dong, Wei Xu, Ji Li et al.
3 citations
Buildings
Energy Load and Power Forecasting
2.19
article

Research and Demonstration of Operation Optimization Method of Zero-Carbon Building’s Compound Energy System Based on Day-Ahead Planning and Intraday Rolling Optimization Algorithm

Fei Lu, Jiankai Dong, Wei Xu, Ji Li, Biao Qiao
article en
3 citations

Abstract

The compound energy system is an important component of zero-carbon buildings. Due to the complex form of the system and the difficult-to-capture characteristics of thermo-electric coupling interactions, the operation control of the zero-carbon building’s energy system is difficult in practical engineering. Therefore, it is necessary to carry out relevant optimization methods. This paper investigated the current research status of the control and scheduling of compound energy systems in zero-carbon buildings at home and abroad, selected a typical zero-carbon building as the research object, analyzed its energy system’s operational data, and proposed an operation scheduling algorithm based on day-ahead flexible programming and intraday rolling optimization. The multi-energy flow control algorithm model was developed to optimize the operation strategy of heat pump, photovoltaic, and energy storage systems. Then, the paper applied the algorithm model to a typical zero-carbon building project, and verified the actual effect of the method through the actual operational data. After applying the method in this paper, the self-absorption rate of photovoltaic power generation in the building increased by 7.13%. The research results provide a theoretical model and data support for the operation control of the zero-carbon building’s compound energy system, and could promote the market application of the compound energy system.

BuildingsVol. 15(5)
Harbin Institute of Technology (CN), China Academy of Building Research (CN)
Affordable and clean energy
Openalex Percentile: Top 13%
Energy Load and Power Forecasting
2.19
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Research and Demonstration of Operation Optimization Method of Zero-Carbon Building’s Compound Energy System Based on Day-Ahead Planning and Intraday Rolling Optimization Algorithm — Fei Lu, Jiankai Dong, et al. · Buildings (2025) | TGRS Research Map | TGRS