Life Cycle Carbon Emission Accounting of an Old Residential Community Based on Digital Technologies: A Case Study of Nanyuan Xincun, Hefei
デジタル技術に基づく既存住宅団地のライフサイクル炭素排出会計:合肥市南苑新村の事例研究 (AI 翻訳)
Guanjun Huang, Can Zhou, Shaojie Zhang, Zhang Ren, Qiaoling Xu
🤖 gxceed AI 要約
日本語
本論文は、既存住宅団地のライフサイクル炭素排出を評価するための統合フレームワークを提案。BIM、3D点群、DesignBuilder、i-Tree Eco等のデジタル技術を組み合わせ、合肥市の事例に適用した。運用段階が排出の82.52%を占め、樹木・低木による炭素隔離が運用排出の32.99%を相殺可能であることを示した。
English
This paper proposes an integrated framework for life cycle carbon emission accounting of old residential communities using digital technologies such as BIM, 3D point clouds, DesignBuilder, and i-Tree Eco. Applied to a case in Hefei, it finds that the operation phase accounts for 82.52% of total emissions, and vegetation carbon sequestration offsets 32.99% of landscape operational emissions.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
日本でも既存団地の低炭素改修が課題となっており、本フレームワークはSSBJや有報のScope 1・2排出量算定にも応用可能。特に、デジタル技術による既存ストックの炭素管理手法は、日本の老朽化マンション・団地のGX推進に示唆を与える。
In the global GX context
This framework addresses a gap in carbon accounting for existing built environments, relevant to global disclosure standards (TCFD, ISSB) that require comprehensive Scope 1-3 reporting. The integration of LCA with digital tools offers a replicable methodology for urban renewal projects worldwide, though specific case data is from China.
👥 読者別の含意
🔬研究者:Demonstrates a novel combination of LCA, BIM, and ecological assessment for community-scale carbon accounting, useful for method development.
🏢実務担当者:Provides a practical workflow for assessing carbon emissions and sinks in old residential communities, aiding renovation and sustainability planning.
🏛政策担当者:Highlights the significant operational emissions in existing communities and the potential of green infrastructure, supporting low-carbon urban renewal policies.
📄 Abstract(原文)
Global urbanization is shifting from incremental expansion to stock optimization, and old residential communities have become important spatial units for low-carbon transition. However, in existing built environments, traditional process-based inventory methods face practical constraints, including missing original drawings, complex site conditions, and severe vegetation obstruction. As a result, systematic accounting of buildings, landscapes, and natural carbon sinks remains difficult. This study integrates life cycle assessment (LCA), BIM reverse modeling, 3D point clouds, DesignBuilder simulation, inventory-based accounting, and i-Tree Eco to construct a life cycle carbon emission accounting framework for old residential communities. The framework links current-condition data reconstruction, quantity take-off, operational energy simulation, landscape inventory accounting, and vegetation carbon sequestration assessment. It is applied to Nanyuan Xincun in Hefei to quantify the community-scale carbon source–sink structure. The results show that Nanyuan Xincun presents a clear operation-led emission pattern, with the operation and maintenance phase accounting for 82.52% of total positive emissions. Within architectural engineering, operation and maintenance accounts for 82.91%, while material production accounts for 13.28%. Landscape engineering shows a more mixed structure, with operation and maintenance accounting for 52.95% and material production accounting for 36.49%. Vegetation carbon sequestration analysis shows that mature trees and shrubs are the main ecological carbon assets. Annual sequestration reaches 16.95 t-CO2e/a, and trees and shrubs contribute 92.85% of total vegetation carbon storage. Under current vegetation conditions, annual sequestration is equivalent to 32.99% of annual landscape operation emissions, indicating considerable ecological compensation potential. Based on these findings, this study proposes four optimization pathways: operational energy reduction, low-carbon material substitution, construction and demolition waste recycling, and mature tree protection. These pathways provide data support for refined carbon management and low-carbon renewal in existing communities.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.3390/buildings16101988first seen 2026-05-20 05:17:25
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