基于 BIM 的公共建筑地下工程碳减排分析与策略:中国陕西西安案例

Yuheng Han, Yue Wang, Liang Zhao, Tilian Li, Zhi Yang, Zixiao Wang, Haining Wang
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引用次数: 0

摘要

公共建筑的建设涉及大量的碳排放,尤其是在地下建筑的实体化阶段,碳排放释放速度快、强度大。针对这一问题,本研究旨在开发一种基于建筑信息模型(BIM)的方法,用于评估公共建筑地下工程实体化阶段的碳排放影响因素。为实现这一目标,我们建立了一种基于过程的定量和定性方法,以评估不同阶段的碳排放量,包括原材料提取和加工、建筑材料/设备生产、部件现场加工以及施工和安装。该方法可作为建筑设计初期选择设计方案的重要工具。通过分析中国西安 125 个实际案例,并利用碳排放计算模型,获得了准确的碳排放数据。研究结果表明,在所分析的案例中,体现碳排放量与地下空间面积之间存在相关性。具体而言,地下空间越大,地下工程的内含碳排放量就越高。此外,本研究还根据有无地下空间将案例分为两组,从而为无地下空间的案例确定了 16 个因素,为有地下空间的案例确定了 19 个因素。这些发现为理解和减轻公共建筑地下工程实体化阶段的碳排放影响提供了宝贵的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
BIM-Based Analysis and Strategies to Reduce Carbon Emissions of Underground Construction in Public Buildings: A Case on Xi’an Shaanxi, China
The construction of public buildings involves a significant amount of carbon emissions, particularly during the materialization phase of underground construction, which is characterized by a rapid and intense release of carbon emissions. In response to this issue, this study aims to develop a Building Information Modeling (BIM)-based method for assessing the factors influencing carbon emissions during the materialization phase of underground construction in public buildings. To achieve this goal, a process-based quantitative and qualitative method was established to evaluate carbon emissions at various stages, including raw material extraction and processing, building material/equipment production, and on-site processing of components, as well as construction and installation. The proposed method may serve as a valuable tool for selecting design schemes in the early stages of building design. By analyzing 125 actual cases in Xi’an, China and utilizing a carbon emission calculation model, accurate carbon emission data was obtained. This study’s findings indicate a correlation between the embodied carbon emissions and the area of underground space in the cases analyzed. Specifically, larger underground spaces were associated with higher embodied carbon emissions in underground engineering. Furthermore, this study categorized the cases into two groups based on the presence or absence of underground space, resulting in the identification of 16 factors for cases without underground space and 19 factors for cases with underground space. These findings provide valuable insights for understanding and mitigating the impact of carbon emissions during the materialization phase of underground construction in public buildings.
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