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    Environmental Impact and Cost Assessment for Reusing Waste during End-of-Life Activities on Building Projects

    Source: Journal of Construction Engineering and Management:;2023:;Volume ( 149 ):;issue: 010::page 04023099-1
    Author:
    Fam Saeed
    ,
    Kareem Mostafa
    ,
    Christopher Rausch
    ,
    Tarek Hegazy
    DOI: 10.1061/JCEMD4.COENG-12943
    Publisher: ASCE
    Abstract: The construction industry contributes significantly to global environmental loads with massive amounts of construction and demolition waste (CDW) ending up in landfills. To address the need for efficient CDW management, this research proposes a new decision support framework for managing construction waste generated during end-of-life activities for building projects. The framework monetizes potential environmental savings from different recovery options (e.g., reuse, recycle, and so on) and uses multiobjective optimization to determine the optimal quantity of material to undergo each material recovery scenario. The framework uses parametric weights to consider stakeholders’ preferences and their appreciation of environmental benefits compared with costs. A case study of a renovation project in Waterloo, Ontario, Canada, is used to demonstrate how the proposed framework can divert concrete and glass waste from the landfill. For this particular project, savings of 200 GJ of embodied energy, 22  m3 of water, and over 12 t of greenhouse gases can be realized from optimal recovery planning using the proposed framework. This study concludes that decision support systems should be used well in advance of end-of-life activities to evaluate trade-offs for recovery planning activities effectively.
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      Environmental Impact and Cost Assessment for Reusing Waste during End-of-Life Activities on Building Projects

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4293414
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    contributor authorFam Saeed
    contributor authorKareem Mostafa
    contributor authorChristopher Rausch
    contributor authorTarek Hegazy
    date accessioned2023-11-27T23:15:05Z
    date available2023-11-27T23:15:05Z
    date issued7/31/2023 12:00:00 AM
    date issued2023-07-31
    identifier otherJCEMD4.COENG-12943.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4293414
    description abstractThe construction industry contributes significantly to global environmental loads with massive amounts of construction and demolition waste (CDW) ending up in landfills. To address the need for efficient CDW management, this research proposes a new decision support framework for managing construction waste generated during end-of-life activities for building projects. The framework monetizes potential environmental savings from different recovery options (e.g., reuse, recycle, and so on) and uses multiobjective optimization to determine the optimal quantity of material to undergo each material recovery scenario. The framework uses parametric weights to consider stakeholders’ preferences and their appreciation of environmental benefits compared with costs. A case study of a renovation project in Waterloo, Ontario, Canada, is used to demonstrate how the proposed framework can divert concrete and glass waste from the landfill. For this particular project, savings of 200 GJ of embodied energy, 22  m3 of water, and over 12 t of greenhouse gases can be realized from optimal recovery planning using the proposed framework. This study concludes that decision support systems should be used well in advance of end-of-life activities to evaluate trade-offs for recovery planning activities effectively.
    publisherASCE
    titleEnvironmental Impact and Cost Assessment for Reusing Waste during End-of-Life Activities on Building Projects
    typeJournal Article
    journal volume149
    journal issue10
    journal titleJournal of Construction Engineering and Management
    identifier doi10.1061/JCEMD4.COENG-12943
    journal fristpage04023099-1
    journal lastpage04023099-12
    page12
    treeJournal of Construction Engineering and Management:;2023:;Volume ( 149 ):;issue: 010
    contenttypeFulltext
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