Literature DB >> 21835602

A web-based Decision Support System for the optimal management of construction and demolition waste.

G Banias1, Ch Achillas, Ch Vlachokostas, N Moussiopoulos, I Papaioannou.   

Abstract

Wastes from construction activities constitute nowadays the largest by quantity fraction of solid wastes in urban areas. In addition, it is widely accepted that the particular waste stream contains hazardous materials, such as insulating materials, plastic frames of doors, windows, etc. Their uncontrolled disposal result to long-term pollution costs, resource overuse and wasted energy. Within the framework of the DEWAM project, a web-based Decision Support System (DSS) application - namely DeconRCM - has been developed, aiming towards the identification of the optimal construction and demolition waste (CDW) management strategy that minimises end-of-life costs and maximises the recovery of salvaged building materials. This paper addresses both technical and functional structure of the developed web-based application. The web-based DSS provides an accurate estimation of the generated CDW quantities of twenty-one different waste streams (e.g. concrete, bricks, glass, etc.) for four different types of buildings (residential, office, commercial and industrial). With the use of mathematical programming, the DeconRCM provides also the user with the optimal end-of-life management alternative, taking into consideration both economic and environmental criteria. The DSS's capabilities are illustrated through a real world case study of a typical five floor apartment building in Thessaloniki, Greece.
Copyright © 2011 Elsevier Ltd. All rights reserved.

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Year:  2011        PMID: 21835602     DOI: 10.1016/j.wasman.2011.07.018

Source DB:  PubMed          Journal:  Waste Manag        ISSN: 0956-053X            Impact factor:   7.145


  4 in total

1.  Characterizing the environmental impact of metals in construction and demolition waste.

Authors:  Danfeng Yu; Huabo Duan; Qingbin Song; Xiaoyue Li; Hao Zhang; Hui Zhang; Yicheng Liu; Weijun Shen; Jinben Wang
Journal:  Environ Sci Pollut Res Int       Date:  2018-03-06       Impact factor: 4.223

2.  Development of a Prediction Model for Demolition Waste Generation Using a Random Forest Algorithm Based on Small DataSets.

Authors:  Gi-Wook Cha; Hyeun Jun Moon; Young-Min Kim; Won-Hwa Hong; Jung-Ha Hwang; Won-Jun Park; Young-Chan Kim
Journal:  Int J Environ Res Public Health       Date:  2020-09-24       Impact factor: 3.390

3.  Analysis of the socio-economic and environmental impacts of construction waste and management practices.

Authors:  Shitaw Tafesse; Yidnekachew Esayas Girma; Eliyas Dessalegn
Journal:  Heliyon       Date:  2022-03-26

4.  Managerial Areas of Construction and Demolition Waste: A Scientometric Review.

Authors:  Jianguo Chen; Yangyue Su; Hongyun Si; Jindao Chen
Journal:  Int J Environ Res Public Health       Date:  2018-10-24       Impact factor: 3.390

  4 in total

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