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

Unofficial AI-generated summary based on the public title and abstract. Not an official translation.

🔬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.

全球城镇化正从增量扩张转向存量优化，老旧住宅小区已成为低碳转型的重要空间单元。然而，在既有建成环境中，传统的基于过程的清单方法面临实际制约，包括原始图纸缺失、场地条件复杂以及植被遮挡严重。因此，对建筑、景观和自然碳汇的系统核算仍然困难。本研究整合生命周期评价（LCA）、BIM逆向建模、三维点云、DesignBuilder模拟、基于清单的核算以及i-Tree Eco，构建了老旧住宅小区生命周期碳排放核算框架。该框架将现状数据重建、工程量提取、运行能耗模拟、景观清单核算和植被碳汇评估相衔接，并应用于合肥南苑新村，以量化社区尺度的碳源—碳汇结构。结果表明，南苑新村呈现明显的运行主导型排放模式，运行维护阶段占总正向排放的82.52%。在建筑工程中，运行维护占82.91%，而材料生产占13.28%。景观工程呈现更为混合的结构，运行维护占52.95%，材料生产占36.49%。植被碳汇分析表明，成熟乔木和灌木是主要的生态碳资产。年固碳量达到16.95 t-CO2e/a，乔木和灌木占植被总碳储量的92.85%。在现有植被条件下，年固碳量相当于年景观运行排放量的32.99%，表明具有可观的生态补偿潜力。基于上述发现，本研究提出四条优化路径：运行能耗降低、低碳材料替代、建筑垃圾回收利用以及成熟树木保护。这些路径为既有社区精细化碳管理和低碳更新提供了数据支撑。

AI 翻訳（deepseek-v4-flash）。 正確を期す場合は下の原文を参照してください。

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.

• openalex https://doi.org/10.3390/buildings16101988first seen 2026-05-20 05:17:25 · last seen 2026-06-17 07:04:51
• semanticscholar https://doi.org/10.3390/buildings16101988first seen 2026-06-29 07:22:50 · last seen 2026-09-22 05:12:58