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A Decision Support System for Scenario Analysis in Energy Refurbishment of Residential Buildings

Author

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  • Alberto Giretti

    (Dipartimento di Ingegneria Civile, Edile e Architettura, Università Politecnica delle Marche, via Brecce Bianche, 60131 Ancona, Italy)

  • Alessandra Corneli

    (Dipartimento di Ingegneria Civile, Edile e Architettura, Università Politecnica delle Marche, via Brecce Bianche, 60131 Ancona, Italy)

  • Berardo Naticchia

    (Dipartimento di Ingegneria Civile, Edile e Architettura, Università Politecnica delle Marche, via Brecce Bianche, 60131 Ancona, Italy)

Abstract

The energy efficiency of buildings is a key condition in the implementation of national sustainability policies. Energy efficiency of the built heritage is usually achieved through energy contracts or renovation projects that are based on decisions often taken with limited knowledge and in short time frames. However, the collection of comprehensive and reliable technical information to support the decision process is a long and expensive activity. Approximate assessment methods based on stationary thermal models are usually adopted, often introducing unacceptable uncertainties for economically onerous contracts. Hence, it is important to develop tools that, by capitalizing on the operators’ experience, can provide support for fast and reliable assessments. The paper documents the development of a decision support system prototype for the management of energy refurbishment investments in the residential building sector that assists operators in the energy performance assessment, using a limited set of technical information. The system uses a Case Based paradigm enriched with probabilistic modelling to implement decision support within the corporate’s knowledge management framework.

Suggested Citation

  • Alberto Giretti & Alessandra Corneli & Berardo Naticchia, 2021. "A Decision Support System for Scenario Analysis in Energy Refurbishment of Residential Buildings," Energies, MDPI, vol. 14(16), pages 1-21, August.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:16:p:4738-:d:608422
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    References listed on IDEAS

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    1. Tian, Wei & Heo, Yeonsook & de Wilde, Pieter & Li, Zhanyong & Yan, Da & Park, Cheol Soo & Feng, Xiaohang & Augenbroe, Godfried, 2018. "A review of uncertainty analysis in building energy assessment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 93(C), pages 285-301.
    2. Diakaki, Christina & Grigoroudis, Evangelos & Kabelis, Nikos & Kolokotsa, Dionyssia & Kalaitzakis, Kostas & Stavrakakis, George, 2010. "A multi-objective decision model for the improvement of energy efficiency in buildings," Energy, Elsevier, vol. 35(12), pages 5483-5496.
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    Cited by:

    1. Piotr Michalak & Krzysztof Szczotka & Jakub Szymiczek, 2023. "Audit-Based Energy Performance Analysis of Multifamily Buildings in South-East Poland," Energies, MDPI, vol. 16(12), pages 1-21, June.
    2. Ana Martha Carneiro Pires de Oliveira & João Carlos Gonçalves Lanzinha & Andrea Parisi Kern, 2024. "Building Rehabilitation: A Sustainable Strategy for the Preservation of the Built Environment," Sustainability, MDPI, vol. 16(2), pages 1-15, January.

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