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Coordinated demand-controlled ventilation strategy for energy-efficient operation in multi-zone cleanroom air-conditioning systems

机译:多区洁净室空调系统中节能运行的协调需求控制通风策略

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摘要

Cleanrooms can be 10-100 times as energy-intensive as typical office buildings. The causes of this are mainly high air change rates and counteraction (i.e. overcooling and reheating) processes in applications. Existing studies have addressed the design and control of outdoor and supply air ventilation systems separately without considering the interaction between them, which causes significant energy waste. This study therefore proposes a coordinated demand-controlled ventilation (CDCV) strategy to achieve energy-efficient operation in multi-zone cleanmom air-conditioning systems, by coordinating operation between outdoor and supply ventilation systems. The Lorenz curve and Gini index are introduced to quantify the demand diversity of multiple zones, and degrees of overcooling and overdrying are used to quantify the mismatch between cooling supply and demand. Cleanrooms in a pharmaceutical factory located in Hong Kong, a humid sub-tropical city, are selected to test and validate the effectiveness of the proposed strategy. Test results show that the optimization of supply air volume can alleviate the mismatch between cooling supply and demand, as well as affect the optimal outdoor air ventilation mode. The proposed strategy can achieve up to 89.6% of reheating and 63.3% of overall energy savings.
机译:洁净室可以是典型的办公楼的能量密集型10-100倍。这主要的原因主要是应用的高空气变化率和反应(即超级过冷和再加热)过程。现有研究已经解决了室外和供应空气通风系统的设计和控制,而不考虑它们之间的相互作用,这导致了显着的能量浪费。因此,本研究提出了一种协调的需求控制通气(CDCV)策略,通过协调室外和供应通风系统之间的协调操作来实现多区清洁空调系统中的节能操作。引入Lorenz曲线和基尼指数以量化多个区域的需求分集,并且过冷和过度的程度用于量化冷却供需之间的不匹配。选择在香港的制药厂的洁净室,是一个潮湿的潜水城市,选择测试并验证拟议策略的有效性。测试结果表明,供应空气量的优化可以缓解冷却供需之间的不匹配,以及影响最佳室外空气通风模式之间的不匹配。拟议的策略可达到再加热的89.6%,占总能源的63.3%。

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