Research on the Operation Optimization of Public Building Systems in Extremely Cold Areas Based on Flexible Loads

Chuan Tian (), Shunli Jiang, Shuai Li, Guohui Feng and Bin Yu
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Chuan Tian: School of Municipal and Environmental Engineering, Shenyang Jianzhu University, Shenyang 110168, China
Shunli Jiang: School of Municipal and Environmental Engineering, Shenyang Jianzhu University, Shenyang 110168, China
Shuai Li: State Grid Liaoning Electric Power Company Limited, Economic Research Institute, Shenyang 110015, China
Guohui Feng: School of Municipal and Environmental Engineering, Shenyang Jianzhu University, Shenyang 110168, China
Bin Yu: School of Municipal and Environmental Engineering, Shenyang Jianzhu University, Shenyang 110168, China

Energies, 2024, vol. 17, issue 23, 1-23

Abstract: The heating energy consumption in public buildings in cold regions is notably significant, presenting substantial scope for energy savings and emission reductions. Flexible loads can actively participate in controlling the operation of the power grid, improving the energy utilization and the economy of the system. This study introduces flexible loads into the operation optimization of energy systems, establishing mathematical models for flexible thermal and electrical loads. A two-stage operation optimization method is proposed: the first stage simulates the starting and stopping control conditions of equipment at varying temperatures and times, selecting the optimal time period to regulate the thermal loads; the second stage employs a multi-objective particle swarm optimization algorithm to optimize the scheduling of the system’s electrical load. Finally, an empirical analysis is carried out in a public building in Shenyang City as an example, and the results indicate that optimal scheduling of flexible thermal and electrical loads reduces the daily operating cost of the energy supply system by RMB 124.12 and decreases carbon emissions by 22.7%.

Keywords: flexible load; building energy system optimization; public buildings; energy saving; emission reduction (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: 2024
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