跨临界CO2喷射式热泵热电池控制优化

本文提出了一种基于跨临界CO2喷射式热泵热电池的单目标和多目标动态优化策略,该策略可应用于建筑或工业供冷热系统的高效储能优化。耦合系统为由Modelica语言开发的动力学模型,控制策略以冷热水箱的出水温度作为指标,并采用遗传算法对系统的瞬态性能进行优化。研究结果表明,以上两种基于模型的控制策略能优化系统在储能过程中的整体性能。与恒定控制参数下的控制策略相比,这两种控制策略在多控制参数的协调优化中是有效的,多目标控制策略优于单目标控制策略。

Simulation and optimization of transcritical CO_2 heat pump using ejector

This study presented a model-based dynamic optimization strategy for charging of hot and cold thermal storages with a dual-mode CO2 ejector expansion heat pump,which could be used as a high-efficiency energy-storage optimization strategy in heating and cooling services for buildings or industry. The dynamic model of this coupled system was developed by Modelica. The outlet water temperatures of hot and cold tanks were used as indicators in dynamic optimal control strategy,the transient performance of the system was optimized by genetic algorithm based on the dynamic model of the system. Single and multi-objective dynamic optimization control strategy was proposed and applied. The results show that two model-based dynamic optimization control strategies can optimize the overall performance of the system in the energy-storage process. Compared with the control strategy under constant control parameters,these dynamic optimal control strategies are effective in the coordination optimization of multi-control parameters,and the multi-objective dynamic optimal control strategy is superior to the single-object control strategy.