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2019 | OriginalPaper | Chapter

Regression Model of Wet-Bulb Temperature in an HVAC System

Authors : Luping Zhuang, Xi Chen, Xiaohong Guan

Published in: Advancements in Smart City and Intelligent Building

Publisher: Springer Singapore

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Abstract

It can result in substantial energy saving in heating, ventilation, and air-conditioning (HVAC) system by improving the control strategy of heating, ventilation, and air-conditioning system. However, it is challenging to obtain the optimal control strategy of an HVAC system due to its model’s complexity. In this paper, a regression model is proposed for the wet-bulb temperature which is a key variable in cooling tower and fan coil unit. The proposed model avoids the iterative computing process of obtaining the value of the wet-bulb temperature and reduces the complexity of an HVAC system’s model. Numerical results show that the proposed model takes less than 7% computing time to get the value of wet-bulb temperature, and the relative deviations are less than 0.4%, compared to the original model.

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Metadata
Title
Regression Model of Wet-Bulb Temperature in an HVAC System
Authors
Luping Zhuang
Xi Chen
Xiaohong Guan
Copyright Year
2019
Publisher
Springer Singapore
DOI
https://doi.org/10.1007/978-981-13-6733-5_18