Investigation on demand-based chiller optimization

Buildings in Singapore are one of the major contributor of carbon footprint. This sector in particular consumes large amount of electricity. Most of these electricity consumption are by air conditioning equipment which is essential in providing thermal comfort in the hot and humid climate region. As...

Full description

Saved in:
Bibliographic Details
Main Author: Ler, Han Qiang
Other Authors: Wong Yew Wah
Format: Final Year Project
Language:English
Published: 2014
Subjects:
Online Access:http://hdl.handle.net/10356/60987
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-60987
record_format dspace
spelling sg-ntu-dr.10356-609872023-03-04T18:32:46Z Investigation on demand-based chiller optimization Ler, Han Qiang Wong Yew Wah School of Mechanical and Aerospace Engineering DRNTU::Engineering::Mechanical engineering::Energy conservation Buildings in Singapore are one of the major contributor of carbon footprint. This sector in particular consumes large amount of electricity. Most of these electricity consumption are by air conditioning equipment which is essential in providing thermal comfort in the hot and humid climate region. As Singapore progressively pushes itself to decrease the nation’s carbon footprint, studies looking into reducing the main electricity consumers are necessary. Simulation tools such as TRNSYS are able to model after real buildings, Singapore’s weather and cooling equipment based on past data and mathematical models in the software. In this study, a typical 20-storey office building with a constant mixed air distribution water-cooled chilled water chiller plant is modelled. A parametric study of the chiller plant is then performed. Based on the simulations, savings of up to 19% is demonstrated as compared to conventional constant mixed air distribution water-cooled chilled water chiller plant system. Bachelor of Engineering (Mechanical Engineering) 2014-06-04T01:29:22Z 2014-06-04T01:29:22Z 2014 2014 Final Year Project (FYP) http://hdl.handle.net/10356/60987 en Nanyang Technological University 70 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::Mechanical engineering::Energy conservation
spellingShingle DRNTU::Engineering::Mechanical engineering::Energy conservation
Ler, Han Qiang
Investigation on demand-based chiller optimization
description Buildings in Singapore are one of the major contributor of carbon footprint. This sector in particular consumes large amount of electricity. Most of these electricity consumption are by air conditioning equipment which is essential in providing thermal comfort in the hot and humid climate region. As Singapore progressively pushes itself to decrease the nation’s carbon footprint, studies looking into reducing the main electricity consumers are necessary. Simulation tools such as TRNSYS are able to model after real buildings, Singapore’s weather and cooling equipment based on past data and mathematical models in the software. In this study, a typical 20-storey office building with a constant mixed air distribution water-cooled chilled water chiller plant is modelled. A parametric study of the chiller plant is then performed. Based on the simulations, savings of up to 19% is demonstrated as compared to conventional constant mixed air distribution water-cooled chilled water chiller plant system.
author2 Wong Yew Wah
author_facet Wong Yew Wah
Ler, Han Qiang
format Final Year Project
author Ler, Han Qiang
author_sort Ler, Han Qiang
title Investigation on demand-based chiller optimization
title_short Investigation on demand-based chiller optimization
title_full Investigation on demand-based chiller optimization
title_fullStr Investigation on demand-based chiller optimization
title_full_unstemmed Investigation on demand-based chiller optimization
title_sort investigation on demand-based chiller optimization
publishDate 2014
url http://hdl.handle.net/10356/60987
_version_ 1759856922306019328