Modeling and control for heating, ventilation and air conditioning system

The Heating, Ventilation and Air Conditioning (HVAC) system is designed to provide comfortable indoor temperature environment to occupants and research has shown that it contributed to almost 50% of total energy consumptions in buildings. Air Handling Unit (AHU) is a major component in HVAC that con...

Full description

Saved in:
Bibliographic Details
Main Author: Yeo, Hui Siong
Other Authors: Cai Wenjian
Format: Final Year Project
Language:English
Published: 2019
Subjects:
Online Access:http://hdl.handle.net/10356/77333
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-77333
record_format dspace
spelling sg-ntu-dr.10356-773332023-07-07T15:56:41Z Modeling and control for heating, ventilation and air conditioning system Yeo, Hui Siong Cai Wenjian Wang Youyi School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering The Heating, Ventilation and Air Conditioning (HVAC) system is designed to provide comfortable indoor temperature environment to occupants and research has shown that it contributed to almost 50% of total energy consumptions in buildings. Air Handling Unit (AHU) is a major component in HVAC that contributes to the overall ventilation performance and the chilled water supply (CHWS) in AHU affects the capability of supply air temperature response. To maintain the desired AHU temperature set point, we need to understand the AHU system responses from the valve modulation of CHWS unit. The First Order Plus Dead Time (FOPDT) model is a common empirical design used to derive the HVAC system. Due to the complexity of HVAC system, there are several approaches which can be proposed for local control of AHU supply air temperature. The model-based IMC-PI controllers was adopted to improve the set point responses and to effectively control the AHU air supply temperature. The IMC-PI controllers could be easily tuned with the advantage of a single tuning parameter. MATLAB’s Simulink was used in the simulations and evaluations of controllers. The resulted simulations of the IMC-PI controllers had shown fast responses and maintained its desired temperature set points. The evaluated controllers can be digitally implemented for the HVAC system and an AHU graphical user interface is designed to improve the convenience of remote monitoring and controls. Bachelor of Engineering (Electrical and Electronic Engineering) 2019-05-27T03:49:58Z 2019-05-27T03:49:58Z 2019 Final Year Project (FYP) http://hdl.handle.net/10356/77333 en Nanyang Technological University 74 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Electrical and electronic engineering
spellingShingle DRNTU::Engineering::Electrical and electronic engineering
Yeo, Hui Siong
Modeling and control for heating, ventilation and air conditioning system
description The Heating, Ventilation and Air Conditioning (HVAC) system is designed to provide comfortable indoor temperature environment to occupants and research has shown that it contributed to almost 50% of total energy consumptions in buildings. Air Handling Unit (AHU) is a major component in HVAC that contributes to the overall ventilation performance and the chilled water supply (CHWS) in AHU affects the capability of supply air temperature response. To maintain the desired AHU temperature set point, we need to understand the AHU system responses from the valve modulation of CHWS unit. The First Order Plus Dead Time (FOPDT) model is a common empirical design used to derive the HVAC system. Due to the complexity of HVAC system, there are several approaches which can be proposed for local control of AHU supply air temperature. The model-based IMC-PI controllers was adopted to improve the set point responses and to effectively control the AHU air supply temperature. The IMC-PI controllers could be easily tuned with the advantage of a single tuning parameter. MATLAB’s Simulink was used in the simulations and evaluations of controllers. The resulted simulations of the IMC-PI controllers had shown fast responses and maintained its desired temperature set points. The evaluated controllers can be digitally implemented for the HVAC system and an AHU graphical user interface is designed to improve the convenience of remote monitoring and controls.
author2 Cai Wenjian
author_facet Cai Wenjian
Yeo, Hui Siong
format Final Year Project
author Yeo, Hui Siong
author_sort Yeo, Hui Siong
title Modeling and control for heating, ventilation and air conditioning system
title_short Modeling and control for heating, ventilation and air conditioning system
title_full Modeling and control for heating, ventilation and air conditioning system
title_fullStr Modeling and control for heating, ventilation and air conditioning system
title_full_unstemmed Modeling and control for heating, ventilation and air conditioning system
title_sort modeling and control for heating, ventilation and air conditioning system
publishDate 2019
url http://hdl.handle.net/10356/77333
_version_ 1772828288962527232