relation: https://khub.utp.edu.my/scholars/11082/
title: Operational carbon footprint prediction model for conventional tropical housing: a Malaysian prospective
creator: Gardezi, S.S.S.
creator: Shafiq, N.
description: The current work presents a Malaysian housing sector experience to develop an innovative prediction model for the operational carbon footprint at planning and design stage. Besides life-cycle assessment methodology, statistical technique of multiple regressions incorporated the effects of different identified variables. Three-dimensional parametric models of selected case studies were developed in a virtual environment using building information modeling (BIM). The emergence of multiple regressions, BIM and LCA, in an environmental assessment study for operational phase in a tropical region unlocked a new direction of research. The successful satisfaction and qualification of statistical criterion and tests ensured an efficient prediction model with an acceptable percentage error of ± 6 between the predicted and observed values. The study aims to contribute to pre-assessments of CO2 levels at an early stage of life-cycle studies for quick sustainable decisions and safe green social developments. © 2019, Islamic Azad University (IAU).
publisher: Center for Environmental and Energy Research and Studies
date: 2019
type: Article
type: PeerReviewed
identifier:   Gardezi, S.S.S. and Shafiq, N.  (2019) Operational carbon footprint prediction model for conventional tropical housing: a Malaysian prospective.  International Journal of Environmental Science and Technology, 16 (12).  pp. 7817-7826.  ISSN 17351472     
relation: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85064698738&doi=10.1007%2fs13762-019-02371-x&partnerID=40&md5=b8d7eab736fefca663fa83b0fc6c82fe
relation: 10.1007/s13762-019-02371-x
identifier: 10.1007/s13762-019-02371-x