Life cycle cost optimization for schools energy retrofit under climate change: Methodological approach and analyses in five different climates

• LCC methodology was applied considering climate change impacts on energy performance. • Future weather files based on the AR6 Shared Socioeconomic Pathways (SSP) scenarios. • A single-objective optimisation was applied to select the best retrofit strategies. • The methodology was applied to a school building case study in five different climates. • Law compliant energy retrofit represents a good retrofit strategy. The energy renovation of existing schools has become a priority, to address which cost-effective retrofit strategies should be identified, considering the unavoidable climatic changes, to maximize the benefits during the whole service life. This paper presents a methodology useful for comparing different retrofit proposals by adopting a cost-optimal approach, in which the effects of future climate variations on energy needs were also considered. The methodology was applied to school buildings located in Italy, considering 5 different cities, with the aim of assessing whether an over-performing building − exceeding the minimum regulatory requirements − could provide economic benefits, considering future climatic evolutions and consequent energy needs variations. Different retrofit measures (active and passive) were identified, each of which was associated with different performance targets, starting with those required by the current national energy standard. Accordingly, 900 retrofit proposals were compared against a baseline retrofit option, that brings the building into compliance with current regulations. Optimal solutions were found through a single-objective optimization, performed combining Python and EnergyPlus, which aimed to minimise the global cost of the intervention over a 30-year time horizon. The evolution of climate conditions was also considered in this time interval, generating future weather files on the basis of the most recent SSP5-8.5 scenario. Results highlighted the importance of careful selection of retrofit measures, showing that exceeding regulatory standards does not automatically lead to economic benefits.

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Publication Details

Journal
Energy and Buildings
Published
2025-03-05
DOI
https://doi.org/10.1016/j.enbuild.2025.115561
Citations
6
Primary Topic
Building Energy and Comfort Optimization
Type
article
Field-Weighted Citation Impact
6.04
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article

Life cycle cost optimization for schools energy retrofit under climate change: Methodological approach and analyses in five different climates

Ludovica Maria Campagna, Francesco Carlucci, Francesco Fiorito
6 citations
Energy and Buildings
Building Energy and Comfort Optimization
6.04
article

Life cycle cost optimization for schools energy retrofit under climate change: Methodological approach and analyses in five different climates

Ludovica Maria Campagna, Francesco Carlucci, Francesco Fiorito
article en
6 citations

Abstract

• LCC methodology was applied considering climate change impacts on energy performance. • Future weather files based on the AR6 Shared Socioeconomic Pathways (SSP) scenarios. • A single-objective optimisation was applied to select the best retrofit strategies. • The methodology was applied to a school building case study in five different climates. • Law compliant energy retrofit represents a good retrofit strategy. The energy renovation of existing schools has become a priority, to address which cost-effective retrofit strategies should be identified, considering the unavoidable climatic changes, to maximize the benefits during the whole service life. This paper presents a methodology useful for comparing different retrofit proposals by adopting a cost-optimal approach, in which the effects of future climate variations on energy needs were also considered. The methodology was applied to school buildings located in Italy, considering 5 different cities, with the aim of assessing whether an over-performing building − exceeding the minimum regulatory requirements − could provide economic benefits, considering future climatic evolutions and consequent energy needs variations. Different retrofit measures (active and passive) were identified, each of which was associated with different performance targets, starting with those required by the current national energy standard. Accordingly, 900 retrofit proposals were compared against a baseline retrofit option, that brings the building into compliance with current regulations. Optimal solutions were found through a single-objective optimization, performed combining Python and EnergyPlus, which aimed to minimise the global cost of the intervention over a 30-year time horizon. The evolution of climate conditions was also considered in this time interval, generating future weather files on the basis of the most recent SSP5-8.5 scenario. Results highlighted the importance of careful selection of retrofit measures, showing that exceeding regulatory standards does not automatically lead to economic benefits.

Energy and BuildingsVol. 335
Polytechnic University of Bari (IT)
Climate action
Openalex Percentile: Top 4%
Building Energy and Comfort Optimization
6.04
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