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Estimation of Carbon Footprint of Residential Building in Warm Humid Climate of India through BIM

Rosaliya Kurian, Kishor Sitaram Kulkarni, Prasanna Venkatesan Ramani, Chandan Swaroop Meena, Ashok Kumar and Raffaello Cozzolino
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Rosaliya Kurian: School of Civil Engineering, VIT University, Vellore 632014, India
Kishor Sitaram Kulkarni: Architecture and Planning Division, CSIR-Central Building Research Institute, Roorkee 247667, India
Prasanna Venkatesan Ramani: School of Civil Engineering, VIT University, Vellore 632014, India
Chandan Swaroop Meena: Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, India
Ashok Kumar: Architecture and Planning Division, CSIR-Central Building Research Institute, Roorkee 247667, India
Raffaello Cozzolino: Department of Engineering, University of Rome Niccolò Cusano, 00166 Roma, Italy

Energies, 2021, vol. 14, issue 14, 1-16

Abstract: In recent years Asian Nations showed concern over the Life Cycle Assessment (LCA) of their civil infrastructure. This study presents a contextual investigation of a residential apartment complex in the territory of the southern part of India. The LCA is performed through Building Information Modelling (BIM) software embedded with Environmental Product Declarations (EPDs) of materials utilized in construction, transportation of materials and operational energy use throughout the building lifecycle. The results of the study illustrate that cement is the material that most contributes to carbon emissions among the other materials looked at in this study. The operational stage contributed the highest amount of carbon emissions. This study emphasizes variation in the LCA results based on the selection of a combination of definite software-database combinations and manual-database computations used. For this, three LCA databases were adopted (GaBi database and ecoinvent databases through One Click LCA software), and the ICE database was used for manual calculations. The ICE database showed realistic value comparing the GaBi and ecoinvent databases. The findings of this study are valuable for the policymakers and practitioners to accomplish optimization of Greenhouse Gas (GHG) emissions over the building life cycle.

Keywords: building information modeling; life cycle database; life cycle assessment; carbon footprint (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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