Geospatial characterization of building material stocks for the life cycle assessment of end-of-life scenarios at the urban scale

被引：108

作者：

Mastrucci, Alessio ^{[1
]}

Marvuglia, Antonino ^{[1
]}

Popovici, Emil ^{[1
]}

Leopold, Ulrich ^{[1
]}

Benetto, Enrico ^{[1
]}

机构：

[1] Luxembourg Inst Sci & Technol, Environm Res & Innovat ERIN Dept, 41 Rue Brill, L-4422 Belvaux, Luxembourg

来源：

RESOURCES CONSERVATION AND RECYCLING | 2017年 / 123卷

关键词：

Building material stock; Demolition waste treatment; Urban scale; Life cycle assessment; Geographical information systems; DEMOLITION WASTE MANAGEMENT; ENVIRONMENTAL PERFORMANCE; RESIDENTIAL BUILDINGS; ENERGY ANALYSIS; ASSESSMENT LCA; CONSTRUCTION; CHINA; MODEL; COMPONENTS; EMISSIONS;

D O I：

10.1016/j.resconrec.2016.07.003

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

Demolition waste represents a significant portion of the total generated waste and has a high importance from both a waste management and a resource efficiency perspective. The urban context is highly relevant to assess the environmental impact of the end-of-life stage of buildings and potential for future reduction to properly design corresponding demolition waste management strategies. The goal of this paper is the development of a framework for the characterization of building material stocks and the assessment of the potential environmental impact associated with the end-of-life of buildings at the urban scale to support decision on waste management strategies. The methodology combines a bottom-up material stock model based on geographical information systems (GIS) and a spatial temporal database with life cycle assessment (LCA) for the evaluation of end-of-life scenarios. The approach was tested for the city of Esch-sur-Alzette (Luxembourg) and provided significant results on the quantity and the composition of the housing material stock. Two alternative scenarios involving recycling rates of respectively 50% and 70% for inert materials were assessed and an average reduction potential of 25.6% on abiotic depletion potential and 9.2% on global warming potential was estimated. (C) 2016 Elsevier B.V. All rights reserved.

引用

页码：54 / 66

页数：13