Optimal scheduling of building integrated energy system considering the interaction of electric energy and heat energy

Abstract This research focuses on optimizing smart building energy systems to improve energy efficiency, lower operational costs, and support environmental sustainability. We’ve developed an intelligent energy management framework by integrating advanced control strategies and technologies. This framework spans energy generation, conversion, storage, and utilization, allowing for coordinated scheduling of electricity and thermal energy from various sources. Through mathematical modeling, we accurately describe the real-time operational characteristics of system devices. Our simulation experiments confirm the effectiveness of these optimization strategies, showing significant performance enhancements across diverse operating conditions. This study offers strong theoretical support for designing and managing smart building energy systems, contributing positively to the sector’s future development and sustainability.

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Publication Details

Journal
Journal of Physics Conference Series
Published
2024-08-01
DOI
https://doi.org/10.1088/1742-6596/2823/1/012011
Primary Topic
Integrated Energy Systems Optimization
Type
article
Field-Weighted Citation Impact
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Optimal scheduling of building integrated energy system considering the interaction of electric energy and heat energy

Huaxiao Yang, Gaoxiang Wu, Zhe Li, Qi Zhang et al.
Journal of Physics Conference Series
Integrated Energy Systems Optimization
article

Optimal scheduling of building integrated energy system considering the interaction of electric energy and heat energy

Huaxiao Yang, Gaoxiang Wu, Zhe Li, Qi Zhang, Jian Dai
article en

Abstract

Abstract This research focuses on optimizing smart building energy systems to improve energy efficiency, lower operational costs, and support environmental sustainability. We’ve developed an intelligent energy management framework by integrating advanced control strategies and technologies. This framework spans energy generation, conversion, storage, and utilization, allowing for coordinated scheduling of electricity and thermal energy from various sources. Through mathematical modeling, we accurately describe the real-time operational characteristics of system devices. Our simulation experiments confirm the effectiveness of these optimization strategies, showing significant performance enhancements across diverse operating conditions. This study offers strong theoretical support for designing and managing smart building energy systems, contributing positively to the sector’s future development and sustainability.

Journal of Physics Conference SeriesVol. 2823(1)
State Grid Corporation of China (China) (CN)
Affordable and clean energy
Openalex Percentile: Top 90%
Integrated Energy Systems Optimization
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