Building-information-modeling enabled life cycle assessment, a case study on carbon footprint accounting for a residential building in China

被引:177
作者
Yang, Xining [1 ]
Hu, Mingming [1 ,2 ]
Wu, Jiangbo [1 ]
Zhao, Bin [1 ]
机构
[1] Chongqing Univ, Sch Construct Management & Real Estate, Chongqing 400045, Peoples R China
[2] Leiden Univ, CML Inst Environm Sci, Einsteinweg 2, NL-2333 CC Leiden, Netherlands
基金
欧盟地平线“2020”;
关键词
Building information modeling; Life cycle assessment; Carbon footprint; Low carbon design; ENVIRONMENTAL IMPACTS; CONSTRUCTION MATERIALS; EMBODIED ENERGY; COST-ANALYSIS; CO2; EMISSION; LCA; DESIGN; BIM; SUSTAINABILITY; METHODOLOGY;
D O I
10.1016/j.jclepro.2018.02.070
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Building Information Modeling (BIM) is regarded as a potential vehicle to tremendously improve the information flow throughout the life cycle of a building. The integration of BIM and Life Cycle Assessment (LCA) has potential to reduce the time for life cycle inventory, and at the same time, substantially improve the representativeness of the LCA results for the specific building design. The latter merit is not trivial. For instance, due to time limit, most building LCA studies estimate the building materials and fuels consumed in construction phase quite roughly, which excludes the choices on a wide range of construction techniques, materials, specialties and machines, no need to mention the energy consumption in operation phase, which is usually estimated in an even bolder manner. The roughness of the LCA practice undermines its credibility and hinders its application as a decision supporting tool for low carbon design. Currently, China's Architecture, Engineering and Construction (AEC) sector is undergoing a smart transformation, steered by the increased use of BIM. This paper presents a BIM-enabled LCA method and illustrates how the method can be used to facilitate the low carbon design under the circumstance of the smart AEC transition in China. A case study on carbon footprint accounting for a residential building is conducted. In this study, various software tools and data sources are combined to enhance the data flow and interoperability between BIM models and LCA models. BIM tools are used to create the BIM model, calculate the inputs (materials, construction machines, energies, water and so on) of on-site construction process and simulate the energy consumption of building operation. The eBalance, a China's local LCA software tool is applied to build the LCA model. The Chinese Life Cycle Database is used as the main data source (72.73%) to calculate the carbon footprint of the given building while the Ecoinvent database and European Life Cycle Database act as supplementary. The results show that the carbon footprint of the building is 2993 kg CO(2)eq/m(2). The operation phase contributes to 69% of the total greenhouse gas (GHG) emission, while the building material production contributes to 24%. Concrete is the most used building material, which accounts for 82% of mass but contributes to only 44% of the material related GHG emission. Although steel and aluminum account for only 2.6% and 1.4% of mass, they contribute to 28% and 17% GHG emission, respectively. Through BIM-enable LCA modeling, the potential life cycle environmental performance of the buildings can be assessed in detail. This makes the LCA not only more accessible but also more credible for the AEC professionals to use it as a guide for the low carbon design of buildings. (C) 2018 Elsevier Ltd. All rights reserved.
引用
收藏
页码:729 / 743
页数:15
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