Dynamic Operational Optimization of Air Source Heat Pump Heating System with the Consideration of Energy Saving

Abstract

It is quite important to improve the energy saving of air source heat pump heating system through optimal operation and system engineering method. In this work, the nonlinear dynamic process of the heat pump heating process was established and the integral optimal objective function was then formulated to balance the control accuracy and energy saving. To solve the differential and algebraic optimization problems (DAOPs) efficiently, simultaneous method was used to discretize the problem by collocation of finite elements. Computing results show that potential energy saving of more than 16% can be achieved under permitted accuracy error of zone temperature control, and the ambient air temperature and electricity price have significant effect on the optimal operation and performance of the heat pump heating system. Base on the computing results and analysis of operational parameters, a strategy to dynamically adjust the weight of objective function to balance the control accuracy and energy cost was proposed for the propose of further energy saving, computing results show that: if we dynamically adjusted the weight of objective function with this method, about 4.7% of further energy cost saving can be obtained. Our research is of significant meaning for the optimal operation of heat pump heating system under dynamical conditions.