Department of Environmental Engineering, Democritus University of Thrace, Xanthi, Greece.
Waste Manag Res. 2023 Sep;41(9):1469-1479. doi: 10.1177/0734242X231155818. Epub 2023 Mar 13.
The construction sector in Europe is among the biggest waste generators, producing 370 million tonnes of construction and demolition waste (CDW) every year, which contain important secondary materials. Quantification of CDW is important from their circular management and environmental impact point of view. Thus, the overall objective of this study was to develop a modelling methodology for estimating demolition waste (DW) generation. The volumes (m) of individual construction materials contained in 45 residential buildings in Greece were accurately estimated using computer-aided design (CAD) software and the materials were classified according to European List of Waste. These materials will become waste upon demolition, with a total estimated generation rate of 1590 kg m of top view area and with concrete and bricks representing 74.5% of total. Linear regression models were developed to predict the total and individual amounts of 12 different building materials based on structural building characteristics. To test the accuracy of the models, the materials of two residential buildings were quantified and classified and the results were compared with the model predictions. Depending on the model used, the % differences between models' predictions and CAD estimates for total DW averaged 11.1% ± 7.4% for the first case study and 2.5% ± 1.5% for the second. The models can be used for accurate quantification of total and individual DW and their management within the framework of circular economy.
欧洲的建筑行业是最大的废弃物产生者之一,每年产生 3.7 亿吨建筑和拆除废物(CDW),其中包含重要的二次材料。从循环管理和环境影响的角度来看,对 CDW 进行量化非常重要。因此,本研究的总体目标是开发一种用于估算拆除废物(DW)产生量的建模方法。使用计算机辅助设计(CAD)软件准确估算了希腊 45 座住宅建筑中包含的 45 座住宅建筑中各个建筑材料的体积(m),并根据欧洲废物清单对材料进行了分类。这些材料在拆除时将成为废物,总估计产生率为 1590kg/m2 顶视图面积,其中混凝土和砖块占总量的 74.5%。开发了线性回归模型,以根据结构建筑特征预测 12 种不同建筑材料的总量和个别数量。为了测试模型的准确性,对两座住宅建筑的材料进行了量化和分类,并将结果与模型预测进行了比较。根据所使用的模型,第一个案例研究中,模型预测与 CAD 估算的 DW 总量之间的差异平均为 11.1%±7.4%,第二个案例研究中的差异为 2.5%±1.5%。这些模型可用于在循环经济框架内准确量化 DW 的总量和个别 DW,并对其进行管理。