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Model-based Dynamic Optimal Control of an Ejector Expansion CO2 Heat Pump Coupled with Thermal Storages

机译:基于模型的动态最佳控制,喷射器膨胀CO2热泵与热储存相结合

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This study presents 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 smart grid enabling option 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 are used as indicators in dynamic optimal control strategy.To optimize the overall performances during energy process,the transient performances are optimized by genetic algorithm based on dynamic model of system.Single-objective and multi-objective dynamic optimal control strategies were developed and applied for this system.Study results show that these two developed model-based dynamic optimal control strategies can optimize the overall performances of such coupled systems during energy charging.Compared with the control strategy with constant control parameters,these two dynamic optimal control strategies can be useful in the coordinative optimization of multiple control parameters,and multi-objective dynamic optimal control strategy is superior to the single-objective one.
机译:这项研究提出了一个双模CO2喷射扩张热泵,它可以作为一个高效率的智能电网能够在加热建筑物或选项与制冷服务冷热蓄热器的充电基于模型的动态优化策略该耦合系统的industry.The动态模型,作为在动态最佳控制指标冷热缸的Modelica.The出口水温开发strategy.To优化过程中的能源过程的整体性能,瞬态性能通过遗传算法优化的基于的system.Single目标和多目标动态优化控制策略动态模型进行了开发和应用于该system.Study结果表明,这两个发达基于模型的动态最佳控制策略可在优化这种耦合系统的整体性能能量charging.Compared与恒定控制参数的控制策略,这两个动态最优升控制策略可以是在多个控制参数的协调优化是有用的,和多目标动态优化控制策略优于单目标之一。

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