Comfort and living environment analysis in smart living environment

ASHRAE 55 standards have been used by many consultants and engineers to design an indoor space. Since the first publication in 1971, numerous editions have been made to continuously improve the standard. In ASHRAE 55 standard, the basic parameters identified by Fanger were used to identify thermal c...

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Main Author: Goh, Daryl Wee Ming
Other Authors: Soh Yeng Chai
Format: Final Year Project
Language:English
Published: 2017
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Online Access:http://hdl.handle.net/10356/70749
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-707492023-07-07T17:55:34Z Comfort and living environment analysis in smart living environment Goh, Daryl Wee Ming Soh Yeng Chai School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering ASHRAE 55 standards have been used by many consultants and engineers to design an indoor space. Since the first publication in 1971, numerous editions have been made to continuously improve the standard. In ASHRAE 55 standard, the basic parameters identified by Fanger were used to identify thermal comfort, which includes Temperature, Air Velocity, Humidity, Mean Radiant Temperature (MRT), clothing thermal insulation (clo) and metabolic rate (met). These basic parameters are being used to calculate the thermal comfort level in an indoor space. However, some of these parameters are harder to obtain due to numerous conditions or requirements that have to be met in order to select the correct formula. One example is the MRT parameter which has different ways of calculation involving different conditions. This report seeks to understand the comfort and living environment analysis in smart living environment. The objective of this final year report is to find a relationship between the body parameters of a human being and the basic parameters. 20 participants of ages between 20-30 years took part in an experiment which was conducted in a control environment to see how their body react to different conditions. Data of both the environment and the body parameters were being captured over the period of 40 minutes. These data will then be subjected to a machine learning algorithm that compares the body parameters and the basic parameters for similarities in percentages. Bachelor of Engineering 2017-05-09T09:03:48Z 2017-05-09T09:03:48Z 2017 Final Year Project (FYP) http://hdl.handle.net/10356/70749 en Nanyang Technological University 105 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
Goh, Daryl Wee Ming
Comfort and living environment analysis in smart living environment
description ASHRAE 55 standards have been used by many consultants and engineers to design an indoor space. Since the first publication in 1971, numerous editions have been made to continuously improve the standard. In ASHRAE 55 standard, the basic parameters identified by Fanger were used to identify thermal comfort, which includes Temperature, Air Velocity, Humidity, Mean Radiant Temperature (MRT), clothing thermal insulation (clo) and metabolic rate (met). These basic parameters are being used to calculate the thermal comfort level in an indoor space. However, some of these parameters are harder to obtain due to numerous conditions or requirements that have to be met in order to select the correct formula. One example is the MRT parameter which has different ways of calculation involving different conditions. This report seeks to understand the comfort and living environment analysis in smart living environment. The objective of this final year report is to find a relationship between the body parameters of a human being and the basic parameters. 20 participants of ages between 20-30 years took part in an experiment which was conducted in a control environment to see how their body react to different conditions. Data of both the environment and the body parameters were being captured over the period of 40 minutes. These data will then be subjected to a machine learning algorithm that compares the body parameters and the basic parameters for similarities in percentages.
author2 Soh Yeng Chai
author_facet Soh Yeng Chai
Goh, Daryl Wee Ming
format Final Year Project
author Goh, Daryl Wee Ming
author_sort Goh, Daryl Wee Ming
title Comfort and living environment analysis in smart living environment
title_short Comfort and living environment analysis in smart living environment
title_full Comfort and living environment analysis in smart living environment
title_fullStr Comfort and living environment analysis in smart living environment
title_full_unstemmed Comfort and living environment analysis in smart living environment
title_sort comfort and living environment analysis in smart living environment
publishDate 2017
url http://hdl.handle.net/10356/70749
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