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Model-based Optimal Control of Outdoor Air Flow Rate of an Air-Conditioning System with Primary Air-Handling Unit

机译:基于模型的带主空气处理机组的空调系统室外风量最优控制

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This paper presents a model-based outdoor air flow rate optimal control strategy for multi-zone variable air volume air-conditioning systems with the primary air-handling units. An adaptive optimisation algorithm is adopted for optimising the set point of the outdoor air flow rate to minimise the energy cost, which could compromise the energy consumption of the primary fan and the cooling energy saving by the cold outdoor air. The primary fan energy consumption can be predicted using a simplified incremental fan model and the main parameters of this model are identified online. The cooling energy saving by the outdoor air is estimated online using the enthalpies of the air streams. The lower limit of the outdoor air flow rate is determined by a CO_2-based adaptive demand-controlled ventilation strategy using the dynamic multi-space equation to maintain the satisfied indoor air quality (IAQ). Tests were conducted to evaluate the performance of the control strategy applied to a practical building system in simulation environment. The results show that the proposed optimal control strategy can reduce energy consumption significantly, while maintaining a satisfactory IAQ.
机译:本文提出了一种基于模型的室外空气流量最优控制策略,该策略用于具有主要空气处理单元的多区域可变风量空调系统。采用自适应优化算法来优化室外空气流量的设定点,以最大程度地降低能源成本,这可能会损害主风扇的能耗以及室外冷空气所节省的冷却能源。可以使用简化的增量风扇模型来预测主要风扇的能耗,并且可以在线识别该模型的主要参数。使用气流的焓值在线估算室外空气节省的冷却能源。室外空气流速的下限由基于CO_2的自适应需求控制通风策略使用动态多空间方程式确定,以维持满意的室内空气质量(IAQ)。进行了测试以评估应用于模拟环境中的实际建筑系统的控制策略的性能。结果表明,提出的最优控制策略可以显着降低能耗,同时保持令人满意的室内空气质量。

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