eprintid: 11082
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/01/10/82
datestamp: 2023-11-10 03:25:38
lastmod: 2023-11-10 03:25:38
status_changed: 2023-11-10 01:14:27
type: article
metadata_visibility: show
creators_name: Gardezi, S.S.S.
creators_name: Shafiq, N.
title: Operational carbon footprint prediction model for conventional tropical housing: a Malaysian prospective
ispublished: pub
keywords: Architectural design; Emission control; Forecasting; Housing; Life cycle; Tropical engineering; Tropics; Virtual reality, Building Information Model - BIM; Efficient predictions; Environmental assessment; Housing sectors; Life Cycle Assessment (LCA); Statistical criterion; Statistical techniques; Tropical regions, Carbon footprint, carbon footprint; environmental assessment; housing; life cycle analysis; model; regression analysis; sustainability; tropical region, Malaysia
note: cited By 16
abstract: 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).
date: 2019
publisher: Center for Environmental and Energy Research and Studies
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85064698738&doi=10.1007%2fs13762-019-02371-x&partnerID=40&md5=b8d7eab736fefca663fa83b0fc6c82fe
id_number: 10.1007/s13762-019-02371-x
full_text_status: none
publication: International Journal of Environmental Science and Technology
volume: 16
number: 12
pagerange: 7817-7826
refereed: TRUE
issn: 17351472
citation:   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