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Co-simulation of fuzzy control in buildings and the HVAC system using BCVTB

机译:基于BCVTB的建筑物和HVAC系统模糊控制的联合仿真

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摘要

The present study investigates the use of fuzzy logic in Heating Ventilation and Air Conditioning (HVAC) control as means of enhancing thermal comfort provision for the building occupants while maintaining or improving the resulting energy consumption of the building's HVAC system. In order to assess the application of fuzzy logic on HVAC control, a single zone building model along with an HVAC model are created using EnergyPlus software and Transient System Simulation Tool, respectively. In addition a HVAC fuzzy logic controller along with a conventional on-off controller, both thermal comfort based, were developed using Simulink. The latter simulation models, implemented via different software, were coupled using the Building Control Virtual Test Bed platform as a middleware. The simulation outcomes of the on-off controller were used as a benchmark for the evaluation of the fuzzy HVAC controller. In terms of the provided thermal comfort to the building occupants the fuzzy HVAC controller appeared superior, as it managed to reduce the annual mean percentage of dissatisfied occupants by 33% as well as the non-comfort hours by more than 50%. In terms of energy consumption the simulation results suggested that the two controllers perform almost on par.
机译:本研究调查了在加热通风和空调(HVAC)控制中使用模糊逻辑,以增强建筑物居住者的热舒适性,同时保持或改善建筑物HVAC系统的能耗。为了评估模糊逻辑在HVAC控制中的应用,分别使用EnergyPlus软件和瞬态系统仿真工具创建了一个单区域构建模型以及一个HVAC模型。此外,还使用Simulink开发了HVAC模糊逻辑控制器和常规的开关控制器(均基于热舒适性)。通过建筑软件虚拟测试平台作为中间件,可以将通过不同软件实现的后一个仿真模型进行耦合。开关控制器的仿真结果用作评估模糊HVAC控制器的基准。就为建筑物居住者提供的热舒适性而言,模糊HVAC控制器表现出优越性,因为它设法使不满意居住者的年平均百分比降低了33%,非舒适时间减少了50%以上。在能耗方面,仿真结果表明这两个控制器的性能几乎相同。

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