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Research on Parameter Optimization and Control Strategy of Air Source Heat Pump Coupled with Thermal Energy Storage System

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Publicat a:Buildings vol. 15, no. 16 (2025), p. 2870-2896
Autor principal: Liu, Xuan
Altres autors: Chen, Wei, Li, Feng, Du Saisai, Yao Ge, Zhang, Pengfei, Xu Kaiwen, Wang, Zhihua
Publicat:
MDPI AG
Matèries:
Time of use electricity pricing
Electrical loads
Payback periods
Thermal energy
Heat pumps
Simulation models
Energy storage
Optimization
Water
Clean energy
Electric rates
Heat
Multiple objective analysis
Operating costs
Energy conservation
Optimal control
Electricity
Heat exchangers
Energy consumption
Climate change
Prediction models
Configurations
Efficiency
Electricity consumption
Machine learning
Air conditioning
Temperature
Neural networks
Objective function
Photovoltaic cells
Flexibility
Algorithms
Demand side management
Parameters
Accés en línia:Citation/Abstract
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Resum:The air source heat pump coupled with energy storage system is a key technology for flexibly utilizing clean energy. The capacity configuration parameters and control strategies of this coupled system are two important aspects that significantly affect its performance. In order to explore the methods of setting configuration parameters and provide reasonable operation strategies, a simulation model of the coupled system under a time-of-use electricity pricing strategy is established and verified with measured data. Through multi-objective optimization of the system, configuration schemes considering economy, energy saving, and flexibility are given. Subsequently, based on the load prediction model, an optimal control strategy is proposed with the objective function of minimizing the operating cost. The optimization amplitude of the schemes considering the three indicators reached 11.09%, 13.37%, and 29.03%, respectively. Under the proposed control strategies, the typical daily electricity consumption decreased by 14.65% to 24.06%, and the operating electricity cost is saved by approximately 17.32%. By reasonably designing the parameters of the coupled system, its economic, energy-saving performance, and flexibility can be improved by more than 11% compared to a system designed using traditional methods. By adopting the control strategy based on hourly load prediction, the operating cost can be reduced significantly.
ISSN:2075-5309
DOI:10.3390/buildings15162870
Font:Engineering Database