地理空间技术支撑建筑全生命周期碳核算的研究进展2

Research Progress of Geospatial Technologies Supporting Carbon Accounting for the Whole Life Cycle of Buildings

  • 摘要: 建筑全生命周期碳排放涉及材料生产、施工、运营、维护更新和拆除处置等多阶段活动,传统核算方法难以充分反映建筑活动的空间异质性及其跨阶段联系。基于Web of Science Core Collection、Scopus和中国知网,检索2015—2026年相关文献,经去重和多阶段筛选后,对66篇核心样本开展文献计量和内容综合。研究首先分析利用地理空间技术进行建筑碳排放核算在发表时间、研究地区、空间尺度、技术类型和数据来源上的发展特征,继而系统梳理在建筑隐含碳、运营碳和全生命周期碳核算中的应用案例。结果表明,相关研究在2022年后快速增长,以中国大陆、美国和意大利等地区的城市与区域尺度研究为主,研究重心集中于运营碳和建筑能耗核算,对建筑隐含碳和全生命周期核算关注度较少。地理信息空间技术为建筑属性匹配和空间单元组织提供基础;遥感、街景、无人机、LiDAR和三维城市模型等技术可补充建筑形态、材料存量、围护特征、微气候和能源活动数据。在隐含碳核算中,空间数据主要与材料存量模型、MFA和LCA耦合,用于核算材料存量、建设拆除排放及回收潜力;在运营碳核算中,主要与BEM/UBEM和机器学习模型耦合,用于核算能耗、运营碳和碳热点;在全生命周期核算中,用于连接材料、能源、改造和拆除活动,并开展空间化情景比较。研究可为构建建筑级时空碳数据库、完善动态全生命周期核算和支撑城市更新减碳决策提供参考。

     

    Abstract: Whole-life carbon emissions from buildings involve multiple stages, including material production, construction, operation, maintenance and renovation, and demolition and disposal. Conventional accounting methods cannot adequately capture the spatial heterogeneity of building activities or their linkages across life-cycle stages. Relevant literature published between 2015 and 2026 was retrieved from the Web of Science Core Collection, Scopus, and China National Knowledge Infrastructure. After deduplication and multi-stage screening, bibliometric and content analyses were conducted on 66 core studies. The study first examines the development patterns of geospatial technologies for carbon accounting in terms of publication time, study regions, spatial scales, technology types, and data sources, and then systematically reviews their applications in embodied-carbon, operational-carbon, and whole-life-carbon accounting for buildings. The results show that related research has grown rapidly since 2022, with urban- and regional-scale studies concentrated in China’s mainland, the United States, Italy, and other regions. Research has primarily focused on operational carbon and building energy estimation, whereas embodied-carbon and whole-life-carbon assessment have received comparatively less attention. GIS provides the basis for matching building attributes and organizing spatial units, while remote sensing, street-view imagery, unmanned aerial vehicles, LiDAR, and 3D city models supplement data on building form, material stocks, envelope characteristics, microclimates, and energy activities. In embodied-carbon accounting, spatial data are mainly coupled with material stock models, material flow analysis, and life-cycle assessment to estimate material stocks, construction and demolition emissions, and recycling potential. In operational-carbon accounting, they are coupled with building energy models, urban building energy models, and machine-learning models to estimate energy use, operational carbon, and carbon hotspots. In whole-life-carbon accounting, they are used to connect material, energy, renovation, and demolition activities and to conduct spatially explicit scenario comparisons. This study provides a reference for developing building-level spatiotemporal carbon databases, improving dynamic whole-life carbon accounting, and supporting low-carbon urban renewal decisions.

     

/

返回文章
返回