Optimal Control Method of Variable Air Volume Terminal Unit System

This study reviewed the existing studies on the types of variable air volume (VAV) terminal units, control and operation methods, prediction models, and sensor calibration methods. As a result of analyzing the existing research trends on the system type, characteristics, and control method of VAV te...

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Autores principales:	Hyo-Jun Kim, Young-Hum Cho
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	variable air volume system terminal unit optimal control prediction model sensor calibration Technology T
Acceso en línea:	https://doaj.org/article/54e38e985fb446cfa4df523f7bae5222
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spelling	oai:doaj.org-article:54e38e985fb446cfa4df523f7bae52222021-11-25T17:26:20ZOptimal Control Method of Variable Air Volume Terminal Unit System10.3390/en142275271996-1073https://doaj.org/article/54e38e985fb446cfa4df523f7bae52222021-11-01T00:00:00Zhttps://www.mdpi.com/1996-1073/14/22/7527https://doaj.org/toc/1996-1073This study reviewed the existing studies on the types of variable air volume (VAV) terminal units, control and operation methods, prediction models, and sensor calibration methods. As a result of analyzing the existing research trends on the system type, characteristics, and control method of VAV terminal units studies such as theoretical verification and energy simulation were conducted to improve the existing control methods, reset the set value using a mathematical model, and add a monitoring sensor for the application of control methods. The mathematical model used in the study of VAV terminal unit control methods was used to derive set values for minimum air volume, supply temperature, ventilation requirements, and indoor comfort. The mathematical model has a limitation in collecting input information for professional knowledge and model development, and development of a building environment prediction model using a black box model is being studied. The VAV terminal unit system uses a sensor to control the device, and when an error occurs in the sensor, indoor comfort problems and energy waste occur. To solve this problem, sensor calibration techniques have been developed using statistical models, mathematical models, and Bayesian statistical models. The possibility of developing a method for calibrating the variable air volume terminal unit sensor using the prediction model was confirmed. In conclusion, the VAV terminal unit system is one of the most energy efficient systems. The energy saving potential of current VAV systems can still be improved through control methods, the use of predictive models, and sensor calibration methods.Hyo-Jun KimYoung-Hum ChoMDPI AGarticlevariable air volume systemterminal unitoptimal controlprediction modelsensor calibrationTechnologyTENEnergies, Vol 14, Iss 7527, p 7527 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	variable air volume system terminal unit optimal control prediction model sensor calibration Technology T
spellingShingle	variable air volume system terminal unit optimal control prediction model sensor calibration Technology T Hyo-Jun Kim Young-Hum Cho Optimal Control Method of Variable Air Volume Terminal Unit System
description	This study reviewed the existing studies on the types of variable air volume (VAV) terminal units, control and operation methods, prediction models, and sensor calibration methods. As a result of analyzing the existing research trends on the system type, characteristics, and control method of VAV terminal units studies such as theoretical verification and energy simulation were conducted to improve the existing control methods, reset the set value using a mathematical model, and add a monitoring sensor for the application of control methods. The mathematical model used in the study of VAV terminal unit control methods was used to derive set values for minimum air volume, supply temperature, ventilation requirements, and indoor comfort. The mathematical model has a limitation in collecting input information for professional knowledge and model development, and development of a building environment prediction model using a black box model is being studied. The VAV terminal unit system uses a sensor to control the device, and when an error occurs in the sensor, indoor comfort problems and energy waste occur. To solve this problem, sensor calibration techniques have been developed using statistical models, mathematical models, and Bayesian statistical models. The possibility of developing a method for calibrating the variable air volume terminal unit sensor using the prediction model was confirmed. In conclusion, the VAV terminal unit system is one of the most energy efficient systems. The energy saving potential of current VAV systems can still be improved through control methods, the use of predictive models, and sensor calibration methods.
format	article
author	Hyo-Jun Kim Young-Hum Cho
author_facet	Hyo-Jun Kim Young-Hum Cho
author_sort	Hyo-Jun Kim
title	Optimal Control Method of Variable Air Volume Terminal Unit System
title_short	Optimal Control Method of Variable Air Volume Terminal Unit System
title_full	Optimal Control Method of Variable Air Volume Terminal Unit System
title_fullStr	Optimal Control Method of Variable Air Volume Terminal Unit System
title_full_unstemmed	Optimal Control Method of Variable Air Volume Terminal Unit System
title_sort	optimal control method of variable air volume terminal unit system
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/54e38e985fb446cfa4df523f7bae5222
work_keys_str_mv	AT hyojunkim optimalcontrolmethodofvariableairvolumeterminalunitsystem AT younghumcho optimalcontrolmethodofvariableairvolumeterminalunitsystem
_version_	1718412350012260352

Optimal Control Method of Variable Air Volume Terminal Unit System

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