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Reliability-Based Optimization for Energy Refurbishment of a Social Housing Building

Author

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  • Marco Manzan

    (Department of Engineering and Architecture, University of Trieste, via A.Valerio 10, 34127 Trieste, Italy)

  • Giorgio Lupato

    (Department of Engineering and Architecture, University of Trieste, via A.Valerio 10, 34127 Trieste, Italy)

  • Amedeo Pezzi

    (Department of Engineering and Architecture, University of Trieste, via A.Valerio 10, 34127 Trieste, Italy)

  • Paolo Rosato

    (Department of Engineering and Architecture, University of Trieste, via A.Valerio 10, 34127 Trieste, Italy)

  • Alberto Clarich

    (ESTECO S.p.A, AREA Science Park, Padriciano 99, 34149 Trieste, Italy)

Abstract

This paper investigates the influence of a stochastic variation of both energy and economic parameters in an optimization loop applied to a refurbished social housing building. Usually, energy and economic optimization procedures rely on the results of an underlying numerical deterministic model which influences both energy gains and economic figures. However, an analyst must always face the random variation of input and parameter data. The unknown data can represent poor initial information or data that can change in a long time; this is the case of fuel cost and economic indexes in particular. This paper deals with both problems for building refurbishment optimization, the former related to the initial state of a building, and the latter to the energy cost variability. Reliability analysis considers a stochastic variation of parameters looking for solutions that incorporate a risk level; in this case, it deals with optimization objectives related to different impacts on economic, environmental and health aspects. The considered building represents a social house, and the energy reduction measures involve the application of internal insulation layers to the walls and the replacement of existing windows with more efficient ones.

Suggested Citation

  • Marco Manzan & Giorgio Lupato & Amedeo Pezzi & Paolo Rosato & Alberto Clarich, 2020. "Reliability-Based Optimization for Energy Refurbishment of a Social Housing Building," Energies, MDPI, vol. 13(9), pages 1-18, May.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:9:p:2310-:d:354573
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    References listed on IDEAS

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    1. William J. Baumol, 1963. "An Expected Gain-Confidence Limit Criterion for Portfolio Selection," Management Science, INFORMS, vol. 10(1), pages 174-182, October.
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    Cited by:

    1. Manzan Marco & Atlas Ramezani & Alex Buoite Stella & Amedeo Pezzi, 2023. "Climate Change and Building Renovation: Effects on Energy Consumption and Internal Comfort in a Social Housing Building in Northern Italy," Sustainability, MDPI, vol. 15(7), pages 1-14, March.
    2. Domenico Enrico Massimo & Vincenzo Del Giudice & Alessandro Malerba & Carlo Bernardo & Mariangela Musolino & Pierfrancesco De Paola, 2021. "Valuation of Ecological Retrofitting Technology in Existing Buildings: A Real-World Case Study," Sustainability, MDPI, vol. 13(13), pages 1-35, June.

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