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Comprehensive Risk Management in Passive Buildings Projects

Author

Listed:
  • Maria Krechowicz

    (Faculty of Management and Computer Modelling, Kielce University of Technology, Al. 1000-Lecia Państwa Polskiego 7, 25-314 Kielce, Poland)

  • Jerzy Zbigniew Piotrowski

    (Faculty of Environmental, Geomatic and Energy Engineering, Al. 1000-Lecia Państwa Polskiego 7, 25-314 Kielce, Poland)

Abstract

Nowadays, we can observe a growing interest in passive buildings due to global climate change, environmental concerns, and growing energy costs. However, developing a passive building is associated with meeting many Passive House requirements, which results in their increased complexity as well as many challenges and risks which could threaten the successful completion of the project. Risk management is a key tool enabling meeting today’s challenging passive house project’s demands connected with quality, costs, deadlines, and legal issues. In this paper, a new model of risk management dedicated for passive buildings based is proposed, in which a novel Fuzzy Fault Tree integrated with risk response matrix was developed. We proposed 171 risk remediation strategies for all 16 recognized risks in passive buildings projects. We show how to apply the proposed model in practice on one passive building example. Thanks to applying the proposed risk management model an effective reduction of the risks of the basic event is enabled, leading to a significant reduction of the top event risk. The proposed model is useful for architects, installation designers, contractors, and owners who are willing to develop attainable and successful passive buildings projects that benefit all stakeholders.

Suggested Citation

  • Maria Krechowicz & Jerzy Zbigniew Piotrowski, 2021. "Comprehensive Risk Management in Passive Buildings Projects," Energies, MDPI, vol. 14(20), pages 1-25, October.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:20:p:6830-:d:659541
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    Citations

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    Cited by:

    1. Maria Krechowicz & Adam Krechowicz & Lech Lichołai & Artur Pawelec & Jerzy Zbigniew Piotrowski & Anna Stępień, 2022. "Reduction of the Risk of Inaccurate Prediction of Electricity Generation from PV Farms Using Machine Learning," Energies, MDPI, vol. 15(11), pages 1-21, May.
    2. Adam Krechowicz & Maria Krechowicz & Katarzyna Poczeta, 2022. "Machine Learning Approaches to Predict Electricity Production from Renewable Energy Sources," Energies, MDPI, vol. 15(23), pages 1-41, December.
    3. Anna Stepien & Jerzy Zbigniew Piotrowski & Sławomir Munik & Magdalena Balonis & Milena Kwiatkowska & Maria Krechowicz, 2022. "Sustainable Construction—Technological Aspects of Ecological Wooden Buildings," Energies, MDPI, vol. 15(23), pages 1-24, November.

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