Dynamic LCA framework for environmental impact assessment of buildings

被引:101
作者
Su, Shu [1 ]
Li, Xiaodong [1 ]
Zhu, Yimin [2 ]
Lin, Borong [3 ]
机构
[1] Tsinghua Univ, Sch Civil Engn, Dept Construct Management, Beijing 100084, Peoples R China
[2] Louisiana State Univ, Dept Construct Management, Baton Rouge, LA 70803 USA
[3] Tsinghua Univ, Sch Architecture, Dept Bldg Sci, Beijing 100084, Peoples R China
基金
美国国家科学基金会;
关键词
Building Environmental impact assessment (EIA); Dynamic LCA (DLCA); Technological progress; Occupancy behaviors; IMMERSIVE VIRTUAL ENVIRONMENTS; HOUSEHOLD ENERGY-CONSUMPTION; CYCLE ASSESSMENT FRAMEWORK; OCCUPANT BEHAVIOR; METHODOLOGICAL CHALLENGES; RESIDENTIAL BUILDINGS; BIOGENIC CARBON; SIMULATION; PERFORMANCE; QUALITY;
D O I
10.1016/j.enbuild.2017.05.042
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Traditional life cycle assessment (LCA) methods are used to conduct building environmental impact assessment (EIA) with little consideration of influential factors that vary in time and of variation in occupancy behaviors. Because the life cycle of a building is quite long, such details have significant influence on the accuracy of evaluation results. To fill in this gap and extend the LCA system, this paper developed a dynamic assessment framework based on LCA principles after reviewing the research progress of DLCA (dynamic LCA). The new framework identified four dynamic building properties (i.e., technological progress, variation in occupancy behavior, dynamic characteristic factors, and dynamic weighting factors) and considered them in corresponding assessment steps to realize real-time EIA. In addition, residential occupancy profiles were described at personal level, family level, and social level; and three potential quantification methods were introduced to explore the relationship between occupancy profiles and household energy consumption. The DLCA framework expands the connotation of the LCA system from a dynamic perspective, making it possible to present time-varying Els of buildings over their long life cycle and guide occupancy behavior in time. This framework has the potential to be base for developing a useful tool for conducting forecast evaluation and promoting sustainability. (C) 2017 Elsevier B.V. All rights reserved.
引用
收藏
页码:310 / 320
页数:11
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