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  • Life Cycle Inventory (LCI) Data Collection Template for the Reuse of Concrete Building Elements

    Description:
    This data collection template serves the purpose of collecting primary life cycle inventory (LCI) data for the life cycle assessment (LCA) of reuse concrete building elements from reuse practitioners and researchers conducting experimental work. The template aids in documenting building element specific energy and resource consumptions caused during the reuse process. The template was developed in the context of CRC 1683 by sub-project C02, responsible for the LCA of the building element reuse process. , About the CRC 1683: The German construction sector is responsible for a substantial resource and energy consumption, as well as high waste generation. CRC 1683 explores the possibility of a circular modular reuse of cast-in-place concrete load-bearing structures, to mitigate these environmental impacts. Divided into three project groups, the CRC researches all process steps necessary for the reuse, from the disassembly of source load-bearing structures, the characterisation of the reuse building elements properties and conditions, their refurbishment, and their connection and installation into new target structures. More information on CRC 1683 can be obtained from:  https://www.sfb1683.ruhr-uni-bochum.de/mru/index.html.en, and Sub-project C02: Sub-project C02 evaluates the environmental benefits of the reuse process developed in CRC 1683 by means of Life Cycle Assessment (LCA) on the building element, building, and national building stock levels. The template presented in this dataset was created to gather the necessary Life Cycle Inventory (LCI) data from sub-projects conducting experimental works for the LCA of the reuse process on the building element level.
    Keyword:
    LCA, Life Cycle Assessment, Circular Economy, CE, Construction, and Sustainability
    Publisher:
    Language:
    English
    Date Uploaded:
    2026-01-21
    Date Modified:
    2026-01-23
    License:
    Creative Commons BY Attribution 4.0 International
    Resource Type:
    Dataset