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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Zhang et al. (2024) studied this question.
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