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A model-based control of CO_2 concentration in multi-zone ACB air-conditioning systems

机译:多区ACB空调系统中CO_2浓度的基于模型控制

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Indoor Air Quality (IAQ) along with the call for energy-saving has become a hot research topic in recent years. Low ventilation rate consumes less energy but may result in poor air quality, causing health issues for occupants in the long run. Conventional ventilation strategies often result in imbalance in multiple zones served by one HVAC system considering different number of occupants in each zone. This paper presents a model-based control of CO_2 concentration for multi-zone ACB air-conditioning systems aiming at achieving a high IAQ level. A multi-zone CO_2 concentration model is established which takes into account the coupling between neighbour zones. Genetic Algorithm (GA) and Least Squares Method (LSM) are used for parameter identification of the CO_2 model. A control strategy is proposed for the intake airflow rate so that the desired level of the CO_2 concentration can be achieved in the presence of varying number of occupants. Simulations are given to validate the proposed control design.
机译:室内空气质量(IAQ)以及近年来节能的呼吁已成为一个热门的研究课题。低通风率消耗较少的能量,但可能导致空气质量差,从长远来看占用者的健康问题。传统的通风策略通常导致多个区域的不平衡,考虑每个区域中的不同数量的乘员。本文提出了一种基于模型的CO_2浓度控制,用于多区ACB空调系统,旨在实现高IAQ水平。建立多区CO_2浓度模型,该模型考虑了邻居区之间的耦合。遗传算法(GA)和最小二乘法(LSM)用于CO_2模型的参数识别。提出了一种用于进气气流速率的控制策略,使得可以在不同数量的乘员的存在下实现所需的CO_2浓度。给出了验证所提出的控制设计。

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