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Journal Article Applicability evaluation of a temperature humidity index-controlled ventilation system in livestock using a building energy simulation model
Cited 7 time in scopus Download 207 time Share share facebook twitter linkedin kakaostory
Authors
Hakjong Shin, Sang-yeon Lee, Jun-gyu Kim, Dae-Heon Park, Seng-Kyoun Jo, Younghoon Kwak
Issue Date
2024-05
Citation
Case Studies in Thermal Engineering, v.57, pp.1-13
ISSN
2214-157X
Publisher
Elsevier BV
Language
English
Type
Journal Article
DOI
https://dx.doi.org/10.1016/j.csite.2024.104335
Abstract
In general, for livestock building, a simple system for controlling the HVAC system that is based only on the indoor air temperature is applied. This study evaluated the applicability of temperature humidity index (THI)-based ventilation systems installed in livestock buildings using a building energy simulation model. Based on the monitoring data of an actual pig house, the integrated predictive performance of the indoor temperature and humidity of the building energy simulation model was calibrated. Additionally, the indoor environment of the existing temperature-based control and THI-controlled ventilation systems was compared through simulations. The average THI and the section exceeding the THI threshold were both lower compared to the existing system. This was because the part load ratio of the fans of the THI-controlled ventilation system was higher than that of the existing system, indicating better ventilation. These results suggest that THI-based ventilation systems can overcome the limitations of existing temperature-based systems and effectively improve the thermal stress management of livestock buildings. This study portrays that the indoor environment can be improved by simply changing control variables, while presenting the field applicability and research value of THI-based control systems in the management of livestock environments.
KSP Keywords
Applicability evaluation, Control system, HVAC system, Indoor air temperature, Indoor environment, Livestock building, Monitoring data, Part Load Ratio(PLR), Pig house, Predictive performance, Simulation Model
This work is distributed under the term of Creative Commons License (CCL)
(CC BY NC ND)
CC BY NC ND