Embodied Carbon Reduction Performance in the Adaptive Reuse of Existing Public Buildings: A BIM-Based Life Cycle Assessment Framework

Adaptive reuse can preserve carbon-intensive building components while avoiding material production associated with demolition and reconstruction, but its carbon benefit depends on structural retention, retrofit intensity, and future replacement cycles. This study develops a BIM-based life cycle assessment framework for 20 existing public buildings evaluated under adaptive-reuse and demolition-and-reconstruction scenarios. Autodesk Revit 2025 and Dynamo 3.2 are used to construct element-level material inventories, and openLCA 2.4 with ecoinvent 3.10 quantifies emissions across A1–A5, B4, and C1–C4 over 50 years. Illustrative analytical results show that adaptive reuse decreases embodied carbon from 842.3 ± 78.6 to 470.0 ± 61.4 kg CO₂e/m², giving a mean saving of 44.1 ± 5.8%. Structural retention contributes 59.8 ± 7.1% of avoided emissions and is the strongest predictor of carbon saving performance (β = 0.671 ± 0.112, p < 0.001). Monte Carlo analysis produces a median saving rate of 42.8% with a 95% uncertainty interval of 31.6–53.7%. The framework provides a reproducible basis for carbon-informed public-building renewal decisions.

Authors

Institutions

Publication Details

Journal
Applied and Computational Engineering
Published
2026-10-27
DOI
https://doi.org/10.54254/2755-2721/2026.38358
Primary Topic
Environmental Impact and Sustainability
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Embodied Carbon Reduction Performance in the Adaptive Reuse of Existing Public Buildings: A BIM-Based Life Cycle Assessment Framework

Guoyu Ma
3 links
Applied and Computational Engineering
Environmental Impact and Sustainability
article

Embodied Carbon Reduction Performance in the Adaptive Reuse of Existing Public Buildings: A BIM-Based Life Cycle Assessment Framework

Guoyu Ma
article en

Abstract

Adaptive reuse can preserve carbon-intensive building components while avoiding material production associated with demolition and reconstruction, but its carbon benefit depends on structural retention, retrofit intensity, and future replacement cycles. This study develops a BIM-based life cycle assessment framework for 20 existing public buildings evaluated under adaptive-reuse and demolition-and-reconstruction scenarios. Autodesk Revit 2025 and Dynamo 3.2 are used to construct element-level material inventories, and openLCA 2.4 with ecoinvent 3.10 quantifies emissions across A1–A5, B4, and C1–C4 over 50 years. Illustrative analytical results show that adaptive reuse decreases embodied carbon from 842.3 ± 78.6 to 470.0 ± 61.4 kg CO₂e/m², giving a mean saving of 44.1 ± 5.8%. Structural retention contributes 59.8 ± 7.1% of avoided emissions and is the strongest predictor of carbon saving performance (β = 0.671 ± 0.112, p < 0.001). Monte Carlo analysis produces a median saving rate of 42.8% with a 95% uncertainty interval of 31.6–53.7%. The framework provides a reproducible basis for carbon-informed public-building renewal decisions.

Applied and Computational EngineeringVol. 278(1)
Chung-Ang University (KR)
Climate action, Sustainable cities and communities, Responsible consumption and production, Industry, innovation and infrastructure
Openalex Percentile: Top 22%
Environmental Impact and Sustainability
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon