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  4. BIM-based approach for analyzing carbon emissions of residential buildings in India
 
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BIM-based approach for analyzing carbon emissions of residential buildings in India

Journal
Innovative Infrastructure Solutions
Journal Volume
10
Journal Issue
4
ISSN
2364-4176
2364-4184
Date Issued
2025-04
Author(s)
Bhawesh Mishra
T Shanmugapriya
SHANG-HSIEN HSIEH  
Yun-Tsui Chang
Aritra Pal
DOI
10.1007/s41062-025-01950-x
URI
https://www.scopus.com/record/display.uri?eid=2-s2.0-105000865585&origin=resultslist
https://scholars.lib.ntu.edu.tw/handle/123456789/728939
Abstract
The rise in carbon emissions poses a critical threat to global climate, necessitating a comprehensive analysis of buildings' whole lifecycle carbon emissions. Since buildings typically have extensive lifespans, analyzing their operational carbon emissions—emissions produced during their use phase- is critical. Building Information Modeling (BIM) facilitates the organization and exchange of various building information within virtual models and is a valuable tool for such studies. This paper introduces a method for gathering, analyzing, and presenting data on the operational carbon emissions of a typical house in India by combining Building Information Modeling (BIM) with building performance analysis (BPA) tools. It aims to support design teams in identifying and addressing carbon emissions hotspots, ultimately working towards reducing total operational carbon emissions. The study utilizes Autodesk Revit and Green Building Studio (GBS) for energy simulations, focusing on the design phase to address operational CO₂ emissions. India is used as a case study, with analyses conducted across five diverse climates: Ahmedabad (Hot and dry), Delhi (Composite), Kolkata (Warm and humid), Srinagar (Cold), and Tumakuru (Temperate). The simulation results underscore the significant potential for carbon emissions reduction using BIM across all climates. While Kolkata yields the smallest potential reduction in operational carbon emissions (approximately 50.67%), Tumakuru showcases the most substantial decline (around 75.55%). This research provides a practical benchmark for similar buildings in comparable regions worldwide and offers valuable insights into effectively reducing operational carbon emissions in the future.
Subjects
Building information modeling
Carbon emissions
Design alternatives
Energy analysis
Green building studio
SDGs

[SDGs]SDG6

[SDGs]SDG7

[SDGs]SDG9

[SDGs]SDG11

[SDGs]SDG12

[SDGs]SDG13

[SDGs]SDG14

[SDGs]SDG15

Publisher
Springer Science and Business Media LLC
Type
journal article

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To permanently archive and promote researcher profiles and scholarly works, Library integrates the services of “NTU Repository” with “Academic Hub” to form NTU Scholars.

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