Multi-sensor information fusion based control for VAV systems using thermal comfort constraints
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Multi-sensor information fusion based control for VAV systems using thermal comfort constraints Research Article
Xu Zhu, Taotao Shi, Xinqiao Jin, Zhimin Du () School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
Abstract
Keywords
The conventional control methods of variable air volume (VAV) air conditioning systems usually assume that the indoor air is well mixed, and consider each building zone as one node with
coupled simulation,
homogeneous temperature distribution. The average temperature is subsequently used as the
multi-sensor information fusion,
controlled parameter in the VAV cascade control process, which might cause uneven temperature distribution and unsatisfactory thermal comfort. This paper presents a coupled simulation of
VAV control
computational fluid dynamics (CFD) and building energy simulation (BES) for the VAV system in an office building located in Shanghai for the purpose of simulating the building, the VAV control system, and indoor thermal environment simultaneously. An external interface is developed to integrate the CFD and BES models based on quasi-dynamic coupling approach. Based upon the
thermal comfort,
Article History Received: 19 April 2020 Revised: 23 August 2020 Accepted: 30 September 2020
developed co-simulation platform, the novel VAV control method is further proposed by fusing information from multiple sensors. By adding two temperature sensors to constrain the thermal
© Tsinghua University Press and
comfort of the occupied zone, the supply air temperature setpoint of the VAV terminal unit can be reset in real time. The novel control method is embedded into the co-simulation platform and
part of Springer Nature 2020
Springer-Verlag GmbH Germany,
compared with the conventional VAV control approach. The results illustrate that the temperature distribution under the proposed method is more uniform. At most times of the typical test day, the air diffusion performance indexes (ADPIs) for the proposed method are above 80%, while the ADPIs for the conventional control method are between 60% and 80%. Due to multi-sensor information fusion, the proposed VAV control approach has better ability to ensure the indoor thermal comfort.
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Introduction
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Building Systems and Components
Building performance simulation has become an increasingly important topic in the heating, ventilation and air conditioning (HVAC) system (Li et al. 2018; Yin et al. 2018; Chen et al. 2018). The application of building energy simulation (BES) is an effective approach to predict and analyze building energy efficiency (Crawley et al. 2008; Harish and Kumar 2016). To achieve higher building performance, a lot of popular BES programs such as TRNSYS (Asadi et al. 2012), EnergyPlus (Crawley et al. 2001), IDA-ICE (Del Hoyo Arce et al. 2018), ESP-r (Strachan et al. 2008) and DeST (Yan et al. 2008; Zhang et al. 2008) were used to simulate the energy usage of HVAC systems. The TRNSYS simulator of the HVAC system in an office building was
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