Simulation-based assessment of ASHRAE Guideline 36, considering energy performance, indoor air quality, and control stability

Simulation-based assessment of ASHRAE Guideline 36, considering energy performance, indoor air quality, and control stability
复制标题

DOI:
10.1016/j.buildenv.2023.110371
复制
发表时间:
2023-05
影响因子:
7.4
通讯作者:
Cary A. Faulkner;Robert Lutes;Sen Huang;W. Zuo;D. Vrabie
Cary A. Faulkner;Robert Lutes;Sen Huang;W. Zuo;D. Vrabie
中科院分区:
工程技术1区
文献类型:
--
作者:
Cary A. Faulkner;Robert Lutes;Sen Huang;W. Zuo;D. Vrabie

文献摘要

相似文献

本研究评估了美国采暖,制冷和空调工程师协会指南36(G36)与一个典型的中型办公楼。具体来说,这项研究采用了一个可变风量(VAV)系统的Modelica模型,该系统为这座建筑提供服务,其中包括代表室内病毒传播和过滤的组件。然后,它在Python中为水侧和空气侧设备实现了G36控制序列。之后,本研究使用建筑操作测试框架,通过共同模拟G36和Modelica模型进行评估。与现有的工作不同,这项工作有三个独特的特点:(1)它考虑了研究变风量系统的水侧和空气侧设备的控制序列之间的相互作用。(2)从室内空气品质的角度对G36的性能进行了评价。(3)研究了G36控制下建筑物的短期行为,以了解控制稳定性。该评估证实了G36的显著节能效果,主要是因为送风温度和热水控制之间的相互作用。它还揭示了通过需求控制通风来减缓病毒传播的能力和能量性能之间的权衡。最后,强调了在实施G36时调整局部反馈控制的必要性。
This study assesses American Society of Heating, Refrigerating and Air-Conditioning Engineers Guideline 36 (G36) with a typical medium office building. Specifically, this study employed a Modelica model of a variable air volume (VAV) system that serves this building, which includes components for representing indoor virus transmission and filtration. It then implemented the G36 control sequences for both water-side and air-side equipment in Python. After that, this study conducted the assessment by co-simulating G36 and the Modelica model using the Building Operations Testing Framework. Unlike existing works, this work has three unique features: (1) It considers the interactions between control sequences for water-side and air-side equipment of the studied VAV system. (2) It assesses the performance of G36 from the perspective of IAQ. (3) It examines the short-term behaviors of the studied building under G36 to understand the control stability. This assessment confirms significant energy savings from G36, largely because of the interaction between supply air temperature and hot water controls. It also reveals a trade-off between the ability to slow the spread of virus and the energy performance via demand controlled ventilation. Lastly, it emphasizes the necessity of tuning local feedback control when implementing G36.