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Multi-mode ventilation: An efficient ventilation strategy for changeable scenarios and energy saving

机译:多模式通风:一种有效的通风策略,可实现多变的场景并节省能源

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The advanced air distribution methods such as displacement ventilation and personalized ventilation attempt to seek a balance between better indoor air environment and energy efficiency. However, multiple demand scenarios including variable locations of occupants and indoor sources may exist in daily operation of the ventilation system. Most of existing airflow patterns are single mode and cannot always be efficient when responding to changeable scenarios. In this paper, a novel ventilation strategy, i.e., multi-mode ventilation (MMV), is proposed to address multiple scenarios. MMV is designed by the combination of several single airflow patterns and aims to utilize the individual advantages of each airflow pattern in controlling specific scenarios. The energy saving potential of MMV is demonstrated by numerical studies of a meeting room. An indexed local cooling load (LCL) is adopted to evaluate the performance of airflow patterns. As a key parameter in LCL calculation, the required supply temperature to maintain the set temperature at the target zone is determined by computational fluid dynamics (CFD) method. The results show that each single airflow pattern can only be efficient for part of 8 scenarios. MMV performs better by combining single airflow patterns 1 and 2 regardless of the changes of the location and magnitude of the occupied zone as well as the location of the heat source. MMV achieves a reduction rate of up to 56.8% in cooling load compared with airflow pattern 4. MMV may provide a reference for real projects in controlling temperature, humidity and contaminant concentration under changeable scenarios. (C) 2017 Elsevier Ltd. All rights reserved.
机译:诸如置换通风和个性化通风之类的先进空气分配方法试图在更好的室内空气环境和能源效率之间寻求平衡。然而,在通风系统的日常操作中可能存在多种需求场景,包括居住者和室内源的位置可变。现有的大多数气流模式都是单一模式,并且在响应多变的情况时不能总是高效的。本文提出了一种新颖的通风策略,即多模式通风(MMV),以解决多种情况。 MMV是由几种单一气流模式组合而成,旨在利用每种气流模式的独特优势来控制特定场景。通过会议室的数值研究表明了MMV的节能潜力。采用索引的局部冷却负荷(LCL)来评估气流模式的性能。作为LCL计算中的关键参数,通过计算流体力学(CFD)方法确定维持目标区域设定温度所需的供给温度。结果表明,每个单独的气流模式仅对8种情况的一部分有效。 MMV通过组合单个气流模式1和2表现更好,而不管占用区域的位置和大小以及热源的位置如何变化。与气流模式4相比,MMV的冷却负荷降低率高达56.8%。MMV可为在可变场景下控制温度,湿度和污染物浓度的实际项目提供参考。 (C)2017 Elsevier Ltd.保留所有权利。

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