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Temperature sensor placement optimization for VAV control using CFD-BES co-simulation strategy

机译：使用CFD-BES协同仿真策略进行VAV控制的温度传感器放置优化

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摘要

The popular optimal control approaches in the heating, ventilation and air conditioning (HVAC) system just focus on the energy consumption mostly. It usually simplifies the thermal comfort issue through using an indoor average temperature, which may result in the improper indoor temperature distribution. The co-simulation technology, which integrates the building energy simulation (BES) and computational fluid dynamics (CFD), can provide a possible solution to avoid the false optimization in the control process. In this paper, a simple co-simulation strategy is presented to integrate the BES and CFD techniques for the HVAC system. The energy simulation and thermal comfort calculation are coupled together and the indoor temperature distribution is embedded into the VAV control process. The CFD -BES co-simulation method is validated in the HVAC simulator of an office building located in Shanghai. With the CFD-BES co-simulation strategy, the indoor temperature sensor placement is optimized though considering the energy consumption and predicted mean vote (PMV) simultaneously. The results show that the commonly selected sensor position of indoor temperature is not always the best solution for the VAV terminal control.
机译：供暖，通风和空调（HVAC）系统中流行的最佳控制方法仅集中于能耗。它通常通过使用室内平均温度来简化热舒适性问题，这可能会导致室内温度分布不正确。集成了建筑能耗模拟（BES）和计算流体动力学（CFD）的协同仿真技术可以提供一种可能的解决方案，以避免控制过程中的错误优化。本文提出了一种简单的联合仿真策略，以将BES和CFD技术集成到HVAC系统中。能量模拟和热舒适性计算结合在一起，室内温度分布被嵌入到VAV控制过程中。 CFD -BES协同仿真方法已在上海某办公楼的HVAC仿真器中得到验证。通过CFD-BES协同仿真策略，可以同时考虑能耗和预测平均投票（PMV）来优化室内温度传感器的位置。结果表明，通常选择的室内温度传感器位置并非始终是VAV终端控制的最佳解决方案。

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  • 来源
    《Building and Environment》 |2015年第2期|104-113|共10页
  • 作者

    Zhimin Du; Peifan Xu; Xinqiao Jin; Qiaoling Liu;

  • 作者单位

    School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China;

    School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China;

    School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China;

    School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Co-simulation; Sensor placement; Optimization; VAV control; HVAC;

    机译：协同仿真;传感器放置;优化;VAV控制;暖通空调;

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