Operational carbon footprint prediction model for conventional tropical housing: a Malaysian prospective
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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.
KeywordsOperational emissions Carbon footprint Life-cycle assessment (LCA) Tropical region Housing sector
The authors acknowledge the support of CUST, Islamabad Pakistan, and UTP, Malaysia, for successful completion of this study.
Funding was provided by Ministry of Education (Higher Education Department), Malaysia (MyRA Incentive Grant (0153AB-J11)).
Compliance with ethical standards
Conflict of interest
The authors declare no conflict of interest.
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