Thermal comfort prediction using normalised skin temperature of different age group as physiology parameter in the uniform air-conditioned space

By using the predicted thermal comfortability of individual inside the building, thermal comfort prediction could be a good tool for energy efficiency as well as to create the efficient cooling system in buildings. This study will be presenting on the Thermal State Prediction Model (PTS) by using th...

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Main Author: That, Htat Naing
Other Authors: Soh Yeng Chai
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2022
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Online Access:https://hdl.handle.net/10356/157864
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spelling sg-ntu-dr.10356-1578642023-07-07T19:03:29Z Thermal comfort prediction using normalised skin temperature of different age group as physiology parameter in the uniform air-conditioned space That, Htat Naing Soh Yeng Chai School of Electrical and Electronic Engineering EYCSOH@ntu.edu.sg Engineering::Electrical and electronic engineering By using the predicted thermal comfortability of individual inside the building, thermal comfort prediction could be a good tool for energy efficiency as well as to create the efficient cooling system in buildings. This study will be presenting on the Thermal State Prediction Model (PTS) by using the skin temperature and the skin temperature gradient as a factor as well as evaluate the thermal comfortability state based on different age group. By using the surface area of the body and clothing insulation, normalisations process was introduced in this study to solve the issue of different in each individuals. Experiments were carried out on different human and skin temperature and thermal sensation level were recorded at every minute throughout the experimental procedure. The experimental location was simulated with about 18°C to 27°C to create the cooling, cold to room (natural) environment. It was observed that the thermal comfortability/state is able to be established by the combination of skin temperature and skin temperature gradient. Support Vector Machine(SVM) and Extreme Learning Machine (ELM) were used to classify the data with four model input situation. Normalised skin temperature was able to predict with a higher accuracy than the non-normalised skin temperature. It was also observed in this study age could also affects the thermal comfortability and skin sensation. Bachelor of Engineering (Electrical and Electronic Engineering) 2022-05-24T12:13:31Z 2022-05-24T12:13:31Z 2022 Final Year Project (FYP) That, H. N. (2022). Thermal comfort prediction using normalised skin temperature of different age group as physiology parameter in the uniform air-conditioned space. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/157864 https://hdl.handle.net/10356/157864 en A1123-211 application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Electrical and electronic engineering
spellingShingle Engineering::Electrical and electronic engineering
That, Htat Naing
Thermal comfort prediction using normalised skin temperature of different age group as physiology parameter in the uniform air-conditioned space
description By using the predicted thermal comfortability of individual inside the building, thermal comfort prediction could be a good tool for energy efficiency as well as to create the efficient cooling system in buildings. This study will be presenting on the Thermal State Prediction Model (PTS) by using the skin temperature and the skin temperature gradient as a factor as well as evaluate the thermal comfortability state based on different age group. By using the surface area of the body and clothing insulation, normalisations process was introduced in this study to solve the issue of different in each individuals. Experiments were carried out on different human and skin temperature and thermal sensation level were recorded at every minute throughout the experimental procedure. The experimental location was simulated with about 18°C to 27°C to create the cooling, cold to room (natural) environment. It was observed that the thermal comfortability/state is able to be established by the combination of skin temperature and skin temperature gradient. Support Vector Machine(SVM) and Extreme Learning Machine (ELM) were used to classify the data with four model input situation. Normalised skin temperature was able to predict with a higher accuracy than the non-normalised skin temperature. It was also observed in this study age could also affects the thermal comfortability and skin sensation.
author2 Soh Yeng Chai
author_facet Soh Yeng Chai
That, Htat Naing
format Final Year Project
author That, Htat Naing
author_sort That, Htat Naing
title Thermal comfort prediction using normalised skin temperature of different age group as physiology parameter in the uniform air-conditioned space
title_short Thermal comfort prediction using normalised skin temperature of different age group as physiology parameter in the uniform air-conditioned space
title_full Thermal comfort prediction using normalised skin temperature of different age group as physiology parameter in the uniform air-conditioned space
title_fullStr Thermal comfort prediction using normalised skin temperature of different age group as physiology parameter in the uniform air-conditioned space
title_full_unstemmed Thermal comfort prediction using normalised skin temperature of different age group as physiology parameter in the uniform air-conditioned space
title_sort thermal comfort prediction using normalised skin temperature of different age group as physiology parameter in the uniform air-conditioned space
publisher Nanyang Technological University
publishDate 2022
url https://hdl.handle.net/10356/157864
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