Energy performance assessment of innovative building solutions coming from construction and demolition waste materials

Beatriz Fraga De Cal*, Antonio Garrido-Marijuan, Olaia Eguiarte, Beñat Arregi, Ander Romero-Amorrortu, Giulia Mezzasalma, Giovanni Ferrarini, Adriana Bernardi

*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    13 Citations (Scopus)
    3 Downloads (Pure)

    Abstract

    Prefabricated solutions incorporating thermal insulation are increasingly adopted as an energy conservation measure for building renovation. The InnoWEE European project developed three technologies from Construction and Demolition Waste (CDW) materials through a manufacturing process that supports the circular economy strategy of the European Union. Two of them consisted of geopolymer panels incorporated into an External Thermal Insulation Composite System (ETICS) and a ventilated façade. This study evaluates their thermal performance by means of monitoring data from three pilot case studies in Greece, Italy, and Romania, and calibrated building simulation models enabling the reliable prediction of energy savings in different climates and use scenarios. Results showed a reduction in energy demand for all demo buildings, with annual energy savings up to 25% after placing the novel insulation solutions. However, savings are highly dependent on weather conditions since the panels affect cooling and heating loads differently. Finally, a parametric assessment is performed to assess the impact of insulation thickness through an energy performance prediction and a cash flow analysis.

    Original languageEnglish
    Article number1226
    Pages (from-to)1-15
    Number of pages15
    JournalMaterials
    Volume14
    Issue number5
    DOIs
    Publication statusPublished - 5 Mar 2021

    Keywords

    • Building model calibration
    • Building retrofitting
    • Construction and demolition waste
    • Energy conservation measures

    Project and Funding Information

    • Project ID
    • info:eu-repo/grantAgreement/EC/H2020/723916/EU/InnoWEE
    • Funding Info
    • This research was funded by the European Union’s Horizon 2020 research and innovation program under grant agreement No. 723916 (Project H2020-EEB-2016 InnoWEE, G.A. 723916). This study reflects only the authors’ views and the Commission is not responsible for any use that may be made of the information contained therein

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