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首页> 外文会议>International Conference on Enhanced Building Operations; 20061106-08; Shenzhen(CN) >Research on Fuzzy Regulation Strategies in the Constant Air Volume Air
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Research on Fuzzy Regulation Strategies in the Constant Air Volume Air

机译：恒定风量空气中的模糊调节策略研究

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摘要

The energy consumption of the constant air volume (CAV) system largely depends on the regulation strategies. Although some air conditioning systems are equipped with automatic regulation devices, others lack effective regulation strategies. To avoid wasting energy and presenting simple regulation methods, fuzzy regulation strategies for CAV systems are studied in this research. A CAV system of an office building is modeled and simulated with the Designer's Simulation Toolkit (DeST). The operating parameters are calculated based on the instantaneous load obtained from simulation. The operation of the system is divided into five stages according to different conception of "cold" or "hot" in different seasons. The relationship between the outdoor air temperature and the fresh air volume, and the supply air temperature is presented in the form of fuzzy rules. Then the building is simulated under different load conditions and the operating parameters are obtained from fuzzy reasoning. Finally, the effect of fuzzy strategies on energy consumption is analyzed and compared with the effects of the operating parameters obtained from simulation. The results show that energy consumption using a fuzzy regulation strategy is close to the energy consumption of knowing the exact load of the building, while the fuzzy regulation strategy can largely simplify the regulation of the air conditioning system.
机译：恒定风量（CAV）系统的能耗在很大程度上取决于调节策略。尽管某些空调系统配备了自动调节装置，但其他系统却缺乏有效的调节策略。为了避免浪费能量并提出简单的调节方法，本文研究了CAV系统的模糊调节策略。使用Designer的Simulation Toolkit（DeST）对办公楼的CAV系统进行建模和仿真。根据从仿真中获得的瞬时负载计算运行参数。根据不同季节中“冷”或“热”的概念，系统的运行分为五个阶段。室外空气温度与新鲜空气量之间的关系以及送风温度以模糊规则的形式表示。然后对建筑物在不同载荷条件下进行仿真，并从模糊推理中获得运行参数。最后，分析了模糊策略对能耗的影响，并将其与通过仿真获得的运行参数的影响进行了比较。结果表明，采用模糊调节策略的能耗接近于知道建筑物确切负荷的能耗，而模糊调节策略可以大大简化空调系统的调节。

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