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Assessment of the Incentive Rate to Favor the Energy Retrofit of Public Buildings: A Comprehensive Approach for an Italian University Facility

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  • Giuseppe Aruta

    (Department of Industrial Engineering, Università Degli Studi di Napoli Federico II, Piazzale Tecchio 80, 80125 Napoli, Italy)

  • Fabrizio Ascione

    (Department of Industrial Engineering, Università Degli Studi di Napoli Federico II, Piazzale Tecchio 80, 80125 Napoli, Italy)

  • Nicola Bianco

    (Department of Industrial Engineering, Università Degli Studi di Napoli Federico II, Piazzale Tecchio 80, 80125 Napoli, Italy)

  • Teresa Iovane

    (Department of Industrial Engineering, Università Degli Studi di Napoli Federico II, Piazzale Tecchio 80, 80125 Napoli, Italy)

  • Margherita Mastellone

    (Department of Architecture, Università Degli Studi di Napoli Federico II, Via Forno Vecchio 36, 80134 Napoli, Italy)

Abstract

The Renovation Wave for Europe highlighted the role of the public building stock for which Directive 2012/27/EU has set an annual renewal rate of 3%, which should rise to reach the goal of decarbonization by 2050. In this paper, the energy retrofit of an educational building—at the academic level—in Southern Italy was investigated. The aim was to evaluate the incentive share, which could accelerate the energy efficiency process, to achieve a cost-effective nZEB. The results show that the highest incentive rate is required for interventions on the opaque building envelope, which are also those that allow the least energy savings. An incentive rate of about 45% for the energy efficiency of the transparent envelope is necessary to reduce the payback time by about 7 years. The efficiency of the plants and the installation of a PV system are energetically and economically convenient even without forms of economic incentive. Finally, if the building is brought to high energy standards—a primary energy saving of 46% and energy class A3—an incentive rate of 40% is required to repay the intervention in about 10 years.

Suggested Citation

  • Giuseppe Aruta & Fabrizio Ascione & Nicola Bianco & Teresa Iovane & Margherita Mastellone, 2023. "Assessment of the Incentive Rate to Favor the Energy Retrofit of Public Buildings: A Comprehensive Approach for an Italian University Facility," Energies, MDPI, vol. 16(11), pages 1-16, June.
  • Handle: RePEc:gam:jeners:v:16:y:2023:i:11:p:4483-:d:1162116
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    References listed on IDEAS

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    1. Annunziata, Eleonora & Rizzi, Francesco & Frey, Marco, 2014. "Enhancing energy efficiency in public buildings: The role of local energy audit programmes," Energy Policy, Elsevier, vol. 69(C), pages 364-373.
    2. Mustapha Mukhtar & Bismark Ameyaw & Nasser Yimen & Quixin Zhang & Olusola Bamisile & Humphrey Adun & Mustafa Dagbasi, 2021. "Building Retrofit and Energy Conservation/Efficiency Review: A Techno-Environ-Economic Assessment of Heat Pump System Retrofit in Housing Stock," Sustainability, MDPI, vol. 13(2), pages 1-23, January.
    3. Galatioto, A. & Ricciu, R. & Salem, T. & Kinab, E., 2019. "Energy and economic analysis on retrofit actions for Italian public historic buildings," Energy, Elsevier, vol. 176(C), pages 58-66.
    4. María Herrando & Antonio Gómez & Norberto Fueyo, 2022. "Supporting Local Authorities to Plan Energy Efficiency in Public Buildings: From Local Needs to Regional Planning," Energies, MDPI, vol. 15(3), pages 1-17, January.
    5. Saman Abolghasemi Moghaddam & Magnus Mattsson & Arman Ameen & Jan Akander & Manuel Gameiro Da Silva & Nuno Simões, 2021. "Low-Emissivity Window Films as an Energy Retrofit Option for a Historical Stone Building in Cold Climate," Energies, MDPI, vol. 14(22), pages 1-28, November.
    6. Leif Gustavsson & Chiara Piccardo, 2022. "Cost Optimized Building Energy Retrofit Measures and Primary Energy Savings under Different Retrofitting Materials, Economic Scenarios, and Energy Supply," Energies, MDPI, vol. 15(3), pages 1-17, January.
    7. Małgorzata Basińska & Dobrosława Kaczorek & Halina Koczyk, 2021. "Economic and Energy Analysis of Building Retrofitting Using Internal Insulations," Energies, MDPI, vol. 14(9), pages 1-18, April.
    8. Re Cecconi, F. & Moretti, N. & Tagliabue, L.C., 2019. "Application of artificial neutral network and geographic information system to evaluate retrofit potential in public school buildings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 110(C), pages 266-277.
    9. Galatioto, A. & Ciulla, G. & Ricciu, R., 2017. "An overview of energy retrofit actions feasibility on Italian historical buildings," Energy, Elsevier, vol. 137(C), pages 991-1000.
    10. Garwood, Tom Lloyd & Hughes, Ben Richard & Oates, Michael R. & O’Connor, Dominic & Hughes, Ruby, 2018. "A review of energy simulation tools for the manufacturing sector," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 895-911.
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