CO2 based multizone demand-controlled ventilation

Ventilation systems which are part of Heating, Ventilating and Air Conditioning (HVAC) system must be designed and controlled properly, to reduce the amount of energy consumed by them without affecting the quality of air in a conditioned space. A new algorithm to control airflow rate in a multizo...

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Main Author: Nandhini, Ramakrishnan
Other Authors: Cai Wenjian
Format: Theses and Dissertations
Language:English
Published: 2018
Subjects:
Online Access:http://hdl.handle.net/10356/76336
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-763362023-07-04T15:40:27Z CO2 based multizone demand-controlled ventilation Nandhini, Ramakrishnan Cai Wenjian School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering Ventilation systems which are part of Heating, Ventilating and Air Conditioning (HVAC) system must be designed and controlled properly, to reduce the amount of energy consumed by them without affecting the quality of air in a conditioned space. A new algorithm to control airflow rate in a multizone Dedicated Outdoor Air System (DOAS) is proposed in this project to reduce the energy consumed by ventilation system in a building. A duct network of the HVAC system was modeled using Simscpae, a powerful MATLAB tool which enables creating models of physical systems and developing control systems within Simulink environment. Simscape was also used for analyzing performance of the designed system. The proposed algorithm obtained by cascading fuzzy-logic based feedforward control and PID-based feedback control, controls airflow rate in a conditioned space by monitoring carbon dioxide (CO2) during occupied hours and maintains a minimum flow to dilute contaminants released by Volatile Organic Compounds (VOC) inside a room, during unoccupied hours. Performance of the new control algorithm was verified and it was observed that the new algorithm achieves better performance than the standard PID control system, by maintaining CO2 levels at recommended standards and achieving thermal comfort. Master of Science (Computer Control and Automation) 2018-12-19T14:49:10Z 2018-12-19T14:49:10Z 2018 Thesis http://hdl.handle.net/10356/76336 en 54 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
Nandhini, Ramakrishnan
CO2 based multizone demand-controlled ventilation
description Ventilation systems which are part of Heating, Ventilating and Air Conditioning (HVAC) system must be designed and controlled properly, to reduce the amount of energy consumed by them without affecting the quality of air in a conditioned space. A new algorithm to control airflow rate in a multizone Dedicated Outdoor Air System (DOAS) is proposed in this project to reduce the energy consumed by ventilation system in a building. A duct network of the HVAC system was modeled using Simscpae, a powerful MATLAB tool which enables creating models of physical systems and developing control systems within Simulink environment. Simscape was also used for analyzing performance of the designed system. The proposed algorithm obtained by cascading fuzzy-logic based feedforward control and PID-based feedback control, controls airflow rate in a conditioned space by monitoring carbon dioxide (CO2) during occupied hours and maintains a minimum flow to dilute contaminants released by Volatile Organic Compounds (VOC) inside a room, during unoccupied hours. Performance of the new control algorithm was verified and it was observed that the new algorithm achieves better performance than the standard PID control system, by maintaining CO2 levels at recommended standards and achieving thermal comfort.
author2 Cai Wenjian
author_facet Cai Wenjian
Nandhini, Ramakrishnan
format Theses and Dissertations
author Nandhini, Ramakrishnan
author_sort Nandhini, Ramakrishnan
title CO2 based multizone demand-controlled ventilation
title_short CO2 based multizone demand-controlled ventilation
title_full CO2 based multizone demand-controlled ventilation
title_fullStr CO2 based multizone demand-controlled ventilation
title_full_unstemmed CO2 based multizone demand-controlled ventilation
title_sort co2 based multizone demand-controlled ventilation
publishDate 2018
url http://hdl.handle.net/10356/76336
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