Recurrent carbon footprint assessment and forecasting for conventional housing in tropical regions: A Malaysian case study

Almost all life cycle assessment methods of carbon footprint for conventional housing in tropical region have either ignored the impacts of recurrent carbon or considered based on random assumptions. To ensure the green and sustainable urban built environment, particularly in tropical regions, an ac...

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Main Authors: Shafiq, N., Gardezi, S.S.S., Nuruddin, M.F., Abdullah Zawawi, N.A.W.
Format: Article
Institution: Universiti Teknologi Petronas
Record Id / ISBN-0: utp-eprints.21719 /
Published: John Wiley and Sons Inc. 2018
Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85030091328&doi=10.1002%2fep.12708&partnerID=40&md5=3543c35a6ed776c3b993d310021909c9
http://eprints.utp.edu.my/21719/
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spelling utp-eprints.217192018-10-19T06:25:37Z Recurrent carbon footprint assessment and forecasting for conventional housing in tropical regions: A Malaysian case study Shafiq, N. Gardezi, S.S.S. Nuruddin, M.F. Abdullah Zawawi, N.A.W. Almost all life cycle assessment methods of carbon footprint for conventional housing in tropical region have either ignored the impacts of recurrent carbon or considered based on random assumptions. To ensure the green and sustainable urban built environment, particularly in tropical regions, an accurate monitoring and control of carbon footprint requires a comprehensive assessment of all phases of project life cycle, including maintenance. This article presents an innovative and dynamic approach of forecasting of carbon footprint including the recurrent carbon by combining a statistical (simple and multiple regression) and simulation (3D parametric prototyping) technique in a partial LCA (cradle to site) study for a tropical built environment. The developed multivariable regression model satisfied the statistical criteria of an efficient and consistent tool as the average percentage error of the predicted and observed values was found within the acceptable range. The average contribution of CO2 ranged from 2.0 tons to 40 tons for 25 to 100 year of service life span. Ceramic tiles, false ceiling, plaster and roof tiles remained the top materials. The model validation observed an acceptable average error range from (�) 3.24 to (+) 8. The study analyzed the factual recurrent carbon footprint impacts and justified the importance of its inclusion in preemptive mitigation toward sustainability concerns at very early stage of the housing project. © 2017 American Institute of Chemical Engineers Environ Prog, 37: 839�849, 2018. © 2017 American Institute of Chemical Engineers Environ Prog John Wiley and Sons Inc. 2018 Article PeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85030091328&doi=10.1002%2fep.12708&partnerID=40&md5=3543c35a6ed776c3b993d310021909c9 Shafiq, N. and Gardezi, S.S.S. and Nuruddin, M.F. and Abdullah Zawawi, N.A.W. (2018) Recurrent carbon footprint assessment and forecasting for conventional housing in tropical regions: A Malaysian case study. Environmental Progress and Sustainable Energy, 37 (2). pp. 839-849. http://eprints.utp.edu.my/21719/
institution Universiti Teknologi Petronas
collection UTP Institutional Repository
description Almost all life cycle assessment methods of carbon footprint for conventional housing in tropical region have either ignored the impacts of recurrent carbon or considered based on random assumptions. To ensure the green and sustainable urban built environment, particularly in tropical regions, an accurate monitoring and control of carbon footprint requires a comprehensive assessment of all phases of project life cycle, including maintenance. This article presents an innovative and dynamic approach of forecasting of carbon footprint including the recurrent carbon by combining a statistical (simple and multiple regression) and simulation (3D parametric prototyping) technique in a partial LCA (cradle to site) study for a tropical built environment. The developed multivariable regression model satisfied the statistical criteria of an efficient and consistent tool as the average percentage error of the predicted and observed values was found within the acceptable range. The average contribution of CO2 ranged from 2.0 tons to 40 tons for 25 to 100 year of service life span. Ceramic tiles, false ceiling, plaster and roof tiles remained the top materials. The model validation observed an acceptable average error range from (�) 3.24 to (+) 8. The study analyzed the factual recurrent carbon footprint impacts and justified the importance of its inclusion in preemptive mitigation toward sustainability concerns at very early stage of the housing project. © 2017 American Institute of Chemical Engineers Environ Prog, 37: 839�849, 2018. © 2017 American Institute of Chemical Engineers Environ Prog
format Article
author Shafiq, N.
Gardezi, S.S.S.
Nuruddin, M.F.
Abdullah Zawawi, N.A.W.
spellingShingle Shafiq, N.
Gardezi, S.S.S.
Nuruddin, M.F.
Abdullah Zawawi, N.A.W.
Recurrent carbon footprint assessment and forecasting for conventional housing in tropical regions: A Malaysian case study
author_sort Shafiq, N.
title Recurrent carbon footprint assessment and forecasting for conventional housing in tropical regions: A Malaysian case study
title_short Recurrent carbon footprint assessment and forecasting for conventional housing in tropical regions: A Malaysian case study
title_full Recurrent carbon footprint assessment and forecasting for conventional housing in tropical regions: A Malaysian case study
title_fullStr Recurrent carbon footprint assessment and forecasting for conventional housing in tropical regions: A Malaysian case study
title_full_unstemmed Recurrent carbon footprint assessment and forecasting for conventional housing in tropical regions: A Malaysian case study
title_sort recurrent carbon footprint assessment and forecasting for conventional housing in tropical regions: a malaysian case study
publisher John Wiley and Sons Inc.
publishDate 2018
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85030091328&doi=10.1002%2fep.12708&partnerID=40&md5=3543c35a6ed776c3b993d310021909c9
http://eprints.utp.edu.my/21719/
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score 11.62408