HVAC visual analytics

Ensuring thermal comfort is an important problem in any buildings. The predicted mean vote (PMV) model was widely used in assessing the thermal comfort. The thermal comfort was predicted based on a group of people. This model uses human dependent variables and thermal environment variables. Furtherm...

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Main Author: Chin, Hui Ting
Other Authors: Soh Yeng Chai
Format: Final Year Project
Language:English
Published: 2014
Subjects:
Online Access:http://hdl.handle.net/10356/61478
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-614782023-07-07T16:42:39Z HVAC visual analytics Chin, Hui Ting Soh Yeng Chai School of Electrical and Electronic Engineering DRNTU::Engineering Ensuring thermal comfort is an important problem in any buildings. The predicted mean vote (PMV) model was widely used in assessing the thermal comfort. The thermal comfort was predicted based on a group of people. This model uses human dependent variables and thermal environment variables. Furthermore, other models were looked into and the thermal comfort for other countries were also examined. In this project, two models will be used to analyse thermal comfort, namely PMV model and PMVSET model. The PMVSET model was proposed for hot-humid climate environment. Data that were needed for this project was collected by the use of sensors. The numerical values for thermal comfort will be computed using MATLAB software. A comparison will be made based on these two models. Bachelor of Engineering 2014-06-10T08:12:48Z 2014-06-10T08:12:48Z 2014 2014 Final Year Project (FYP) http://hdl.handle.net/10356/61478 en Nanyang Technological University 53 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
spellingShingle DRNTU::Engineering
Chin, Hui Ting
HVAC visual analytics
description Ensuring thermal comfort is an important problem in any buildings. The predicted mean vote (PMV) model was widely used in assessing the thermal comfort. The thermal comfort was predicted based on a group of people. This model uses human dependent variables and thermal environment variables. Furthermore, other models were looked into and the thermal comfort for other countries were also examined. In this project, two models will be used to analyse thermal comfort, namely PMV model and PMVSET model. The PMVSET model was proposed for hot-humid climate environment. Data that were needed for this project was collected by the use of sensors. The numerical values for thermal comfort will be computed using MATLAB software. A comparison will be made based on these two models.
author2 Soh Yeng Chai
author_facet Soh Yeng Chai
Chin, Hui Ting
format Final Year Project
author Chin, Hui Ting
author_sort Chin, Hui Ting
title HVAC visual analytics
title_short HVAC visual analytics
title_full HVAC visual analytics
title_fullStr HVAC visual analytics
title_full_unstemmed HVAC visual analytics
title_sort hvac visual analytics
publishDate 2014
url http://hdl.handle.net/10356/61478
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