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Optimization of a heat assisted air-conditioning system comprising membrane and desiccant technologies for applications in tropical climates

机译:优化用于膜片和干燥剂技术的热辅助空调系统,以用于热带气候

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Separating dehumidification and cooling loads in air-conditioning systems has been proven to be a potential strategy to reduce electricity consumption if the dehumidification of air is mostly performed by heat-powered system components. Referring to experimental experiences in Singapore, this paper presents a novel electricity-efficient air-conditioning system consisting of a membrane unit, an evaporatively cooled sorptive dehumidification system (called ECOS system) and a high-efficient conventional cooling unit. The dehumidification of air is performed by a combination of the membrane unit and the ECOS system, and the sensible cooling of air is accommodated by a high-efficiency conventional chiller and in part by the membrane device. In order to find an optimized balance of the three air-conditioning components, an optimization-based simulation approach using a genetic algorithm is developed. The optimization is based on a simple objective function that comprises operating and investment costs. The optimization results reveal that an integration of a relatively large membrane unit, a small ECOS unit and a chiller operating at an elevated evaporation temperature is the most cost effective combination meeting comfort criteria. The resulting optimized combination has potential to save more than 50% of the system's lifetime operating cost compared to conventional systems supplying 100% fresh air. (C) 2016 Elsevier Ltd. All rights reserved.
机译:如果空气的除湿主要由热力系统组件执行,则已经证明,将空调系统中的除湿和冷却负荷分开是减少电力消耗的潜在策略。参照新加坡的实验经验,本文提出了一种新型的节电空调系统,该系统由膜单元,蒸发冷却的吸湿除湿系统(称为ECOS系统)和高效的常规冷却单元组成。空气的除湿是通过膜单元和ECOS系统的组合来进行的,而对空气的显着冷却则由高效的常规冷却器(部分由膜装置)提供。为了找到三个空调组件的最佳平衡,开发了一种使用遗传算法的基于优化的仿真方法。该优化基于一个简单的目标函数,该函数包含运营和投资成本。优化结果表明,将较大的膜单元,较小的ECOS单元和在升高的蒸发温度下运行的冷却器集成在一起是符合舒适性标准的最具成本效益的组合。与供应100%新鲜空气的常规系统相比,所产生的优化组合具有节省超过50%的系统使用寿命的成本的潜力。 (C)2016 Elsevier Ltd.保留所有权利。

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