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Architectural Retrofitting to Enhance Daylighting and Improve Energy Performance: A Food-Retail Case Study.

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Title: Architectural Retrofitting to Enhance Daylighting and Improve Energy Performance: A Food-Retail Case Study.
Authors: Forastiere, Simone1 (AUTHOR), Balocco, Carla1,2 (AUTHOR), Piselli, Cristina1 (AUTHOR) cristina.piselli@unifi.it, Sciurpi, Fabio1,2 (AUTHOR), Llaguno-Munitxa, Maider2 (AUTHOR)
Source: Energies (19961073). May2026, Vol. 19 Issue 9, p2097. 25p.
Subject Terms: *Retrofitting of buildings, *Daylighting, *Energy consumption, *Supermarkets, *Building information modeling, *Energy consumption of buildings, *Sustainable buildings
Abstract: Artificial lighting accounts for roughly 30% of total electricity use in supermarkets and significantly affects product perception, customer experience, and purchasing behavior. Increasing the availability of natural light, combined with appropriate architectural energy retrofitting strategies, offers a major opportunity to reduce electricity demand. This study proposes a data-driven framework for evaluating energy retrofit strategies in commercial buildings, integrating Building Information Modeling (BIM) and Building Energy Modeling (BEM). A parametric methodology is used to evaluate multiple architectural retrofitting scenarios aimed at enhancing daylighting and reducing artificial lighting demand, while improving energy efficiency and environmental performance. The scenarios investigated include variations in skylight geometry and orientation, glazing type, photovoltaic integration, and advanced lighting controls. Three Key Performance Indicators (KPIs)—real energy effectiveness, lighting control performance, and environmental impact—are used to assess how design modifications influence energy use, indoor lighting quality, and environmental performance. The methodology is applied to three real food-retail buildings in Italy. Results show that lighting energy consumption can be reduced by up to 60% in scenarios combining LED technology with smart control systems, while total building electricity savings vary across case studies depending on building characteristics and usage patterns. Environmental impact reductions of approximately 15–20% are achieved, reflecting both operational and life-cycle improvements. The study demonstrates the potential of parametric architectural retrofitting to support multi-criteria decision-making for sustainable refurbishment of food-retail environments. [ABSTRACT FROM AUTHOR]
Database: Energy & Power Source
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Header DbId: enr
DbLabel: Energy & Power Source
An: 193715993
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PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Architectural Retrofitting to Enhance Daylighting and Improve Energy Performance: A Food-Retail Case Study.
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  Data: <searchLink fieldCode="AR" term="%22Forastiere%2C+Simone%22">Forastiere, Simone</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Balocco%2C+Carla%22">Balocco, Carla</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Piselli%2C+Cristina%22">Piselli, Cristina</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> cristina.piselli@unifi.it</i><br /><searchLink fieldCode="AR" term="%22Sciurpi%2C+Fabio%22">Sciurpi, Fabio</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Llaguno-Munitxa%2C+Maider%22">Llaguno-Munitxa, Maider</searchLink><relatesTo>2</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Energies+%2819961073%29%22">Energies (19961073)</searchLink>. May2026, Vol. 19 Issue 9, p2097. 25p.
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  Data: *<searchLink fieldCode="DE" term="%22Retrofitting+of+buildings%22">Retrofitting of buildings</searchLink><br />*<searchLink fieldCode="DE" term="%22Daylighting%22">Daylighting</searchLink><br />*<searchLink fieldCode="DE" term="%22Energy+consumption%22">Energy consumption</searchLink><br />*<searchLink fieldCode="DE" term="%22Supermarkets%22">Supermarkets</searchLink><br />*<searchLink fieldCode="DE" term="%22Building+information+modeling%22">Building information modeling</searchLink><br />*<searchLink fieldCode="DE" term="%22Energy+consumption+of+buildings%22">Energy consumption of buildings</searchLink><br />*<searchLink fieldCode="DE" term="%22Sustainable+buildings%22">Sustainable buildings</searchLink>
– Name: Abstract
  Label: Abstract
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  Data: Artificial lighting accounts for roughly 30% of total electricity use in supermarkets and significantly affects product perception, customer experience, and purchasing behavior. Increasing the availability of natural light, combined with appropriate architectural energy retrofitting strategies, offers a major opportunity to reduce electricity demand. This study proposes a data-driven framework for evaluating energy retrofit strategies in commercial buildings, integrating Building Information Modeling (BIM) and Building Energy Modeling (BEM). A parametric methodology is used to evaluate multiple architectural retrofitting scenarios aimed at enhancing daylighting and reducing artificial lighting demand, while improving energy efficiency and environmental performance. The scenarios investigated include variations in skylight geometry and orientation, glazing type, photovoltaic integration, and advanced lighting controls. Three Key Performance Indicators (KPIs)—real energy effectiveness, lighting control performance, and environmental impact—are used to assess how design modifications influence energy use, indoor lighting quality, and environmental performance. The methodology is applied to three real food-retail buildings in Italy. Results show that lighting energy consumption can be reduced by up to 60% in scenarios combining LED technology with smart control systems, while total building electricity savings vary across case studies depending on building characteristics and usage patterns. Environmental impact reductions of approximately 15–20% are achieved, reflecting both operational and life-cycle improvements. The study demonstrates the potential of parametric architectural retrofitting to support multi-criteria decision-making for sustainable refurbishment of food-retail environments. [ABSTRACT FROM AUTHOR]
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=enr&AN=193715993
RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.3390/en19092097
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      – Code: eng
        Text: English
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        PageCount: 25
        StartPage: 2097
    Subjects:
      – SubjectFull: Retrofitting of buildings
        Type: general
      – SubjectFull: Daylighting
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      – SubjectFull: Energy consumption
        Type: general
      – SubjectFull: Supermarkets
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      – SubjectFull: Building information modeling
        Type: general
      – SubjectFull: Energy consumption of buildings
        Type: general
      – SubjectFull: Sustainable buildings
        Type: general
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      – TitleFull: Architectural Retrofitting to Enhance Daylighting and Improve Energy Performance: A Food-Retail Case Study.
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            NameFull: Forastiere, Simone
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            NameFull: Balocco, Carla
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            NameFull: Piselli, Cristina
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            NameFull: Sciurpi, Fabio
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            NameFull: Llaguno-Munitxa, Maider
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            – D: 01
              M: 05
              Text: May2026
              Type: published
              Y: 2026
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            – TitleFull: Energies (19961073)
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