Impact of energy certification on GHG Emissions

Energy benchmarking and certification programs are promising in identifying buildings with lower carbon footprint of greenhouse gas emission. It is necessary to examine and measure the reduction in greenhouse gas emissions for green certified building compared to non-certified buildings to ascertain...

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Bibliographic Details
Main Author: Lee, Jia Ying
Other Authors: Zhang Limao
Format: Final Year Project (FYP)
Language:English
Published: Nanyang Technological University 2019
Subjects:
Online Access:https://hdl.handle.net/10356/136514
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author Lee, Jia Ying
author2 Zhang Limao
author_facet Zhang Limao
Lee, Jia Ying
author_sort Lee, Jia Ying
collection NTU
description Energy benchmarking and certification programs are promising in identifying buildings with lower carbon footprint of greenhouse gas emission. It is necessary to examine and measure the reduction in greenhouse gas emissions for green certified building compared to non-certified buildings to ascertain the impact of certifications. This research documents both the impact of energy certification, and other property features and energy usage patterns on greenhouse gas emissions. A linear regression model for greenhouse gas emissions intensity is developed for the City of Seattle based on numerous explanatory variables like; location; property age, area and usage; and energy use types and intensity. Results from the Wilcoxon rank sum test indicates that greenhouse gas emissions for energy certified buildings is lower than non-certified buildings. Other important explanatory variables are also discussed and can be considered for further investigations.
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spelling ntu-10356/1365142019-12-23T02:22:24Z Impact of energy certification on GHG Emissions Lee, Jia Ying Zhang Limao School of Civil and Environmental Engineering limao.zhang@ntu.edu.sg Engineering Engineering::Civil engineering Energy benchmarking and certification programs are promising in identifying buildings with lower carbon footprint of greenhouse gas emission. It is necessary to examine and measure the reduction in greenhouse gas emissions for green certified building compared to non-certified buildings to ascertain the impact of certifications. This research documents both the impact of energy certification, and other property features and energy usage patterns on greenhouse gas emissions. A linear regression model for greenhouse gas emissions intensity is developed for the City of Seattle based on numerous explanatory variables like; location; property age, area and usage; and energy use types and intensity. Results from the Wilcoxon rank sum test indicates that greenhouse gas emissions for energy certified buildings is lower than non-certified buildings. Other important explanatory variables are also discussed and can be considered for further investigations. Bachelor of Engineering (Civil) 2019-12-23T02:22:24Z 2019-12-23T02:22:24Z 2019 Final Year Project (FYP) https://hdl.handle.net/10356/136514 en application/pdf Nanyang Technological University
spellingShingle Engineering
Engineering::Civil engineering
Lee, Jia Ying
Impact of energy certification on GHG Emissions
title Impact of energy certification on GHG Emissions
title_full Impact of energy certification on GHG Emissions
title_fullStr Impact of energy certification on GHG Emissions
title_full_unstemmed Impact of energy certification on GHG Emissions
title_short Impact of energy certification on GHG Emissions
title_sort impact of energy certification on ghg emissions
topic Engineering
Engineering::Civil engineering
url https://hdl.handle.net/10356/136514
work_keys_str_mv AT leejiaying impactofenergycertificationonghgemissions