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INDOOR HUMAN THERMAL COMFORT OPTIMAL CONTROL WITH DESICCANT WHEEL COOLING SYSTEM

机译:室内人体热舒适最优控制与干燥裤轮冷却系统

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Human thermal comfort is an important concern in the energy management of commercial buildings. Human thermal comfort research focuses mostly on the temperature control or the humidity control while based on human thermal comfort index control is ignored. In this paper, an optimal human thermal comfort control model (OHTCM) for a desiccant wheel cooling system is presented for the dehumidification and cooling of a commercial building in summer seasons. The OHTCM has two objectives. The first objective of the OHTCM is to minimize the predicted percentage of dissatisfied (PPD) which is the human thermal comfort index, and the second objective is to minimize the power consumption of the desiccant wheel cooling system. Model predictive control (MPC) strategy has the ability to handle constraints, being able to use simple models and to change controls dynamically in terms of temperature, humidity and air velocity changes, which makes it very practical to use in indoor human thermal comfort control problem. Therefore, MPC strategy is applied to implement the optimal operation of the desiccant wheel cooling system during working hours of the commercial building. To illustrate the practical applications of the MPC strategy, the optimization of the desiccant wheel cooling system in a commercial building of South Africa is studied.
机译:人类热舒适性是商业建筑能源管理中的一个重要关注。人类热舒适性研究主要忽略了忽略了人类热舒适指数控制的温度控制或湿度控制。本文介绍了用于干燥剂轮冷却系统的最佳人体热舒适控制模型(OHTCM),用于夏季商业建筑的除湿和冷却。 OHTCM有两个目标。 OHTCM的第一个目的是最小化是人热舒适指数的不满(PPD)的预测百分比,第二个目的是最小化干燥剂轮冷却系统的功耗。模型预测控制(MPC)策略具有处理约束的能力,能够在温度,湿度和空气速度变化方面使用简单的模型和改变控制,这使得在室内人类热舒适控制问题中非常实用。因此,应用MPC策略以在商业建筑的工作时间内实现干燥剂轮冷却系统的最佳操作。为了说明MPC策略的实际应用,研究了南非商业建筑中干燥的车轮冷却系统的优化。

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