IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v14y2021i21p6929-d661876.html
   My bibliography  Save this article

A Staged Approach for Energy Retrofitting an Old Service Building: A Cost-Optimal Assessment

Author

Listed:
  • Jorge Lopes

    (Department of Construction and Planning, Polytechnic Institute of Bragança, Campus de Santa Apolonia, 5300-253 Bragança, Portugal)

  • Rui A. F. Oliveira

    (Department of Construction and Planning, Polytechnic Institute of Bragança, Campus de Santa Apolonia, 5300-253 Bragança, Portugal)

  • Nerija Banaitiene

    (Department of Construction Management and Real Estate, Vilnius Gediminas Technical University, 10223 Vilnius, Lithuania)

  • Audrius Banaitis

    (Department of Construction Management and Real Estate, Vilnius Gediminas Technical University, 10223 Vilnius, Lithuania)

Abstract

Office buildings built before the pre-1960 age constitute a relevant group for analyzing the energy performance of the Portuguese building sector. A dynamic energy simulation was used to assess the energy performance of an existing office building located in the town of Bragança, Portugal. By using a staged renovation approach, two passive technologies applied to the building envelope and an efficient domestic hot water system were selected and a financial evaluation through the net saving (NS) method was undertaken to choose the best efficiency measures/packages for improving the building’s energy performance. Real discount rates of 3% and 1% were used in the financial evaluation. Considering the real discount rate of 3%, the results showed that only two out seven retrofit options had a positive financial return. By using the real discount rate of 1%, all retrofit options were found to be financially efficient. The results of the study corroborated those of earlier works that found that the financial profitability of energy renovation investments is very sensitive to the discount rate used in the analysis. The results of the study also suggested that the staged renovation approach used in the analysis is economically feasible, and that this approach is an alternative to one-step renovation approach to help to achieve the country´s energy and climate targets by 2030. Suggestions for future research conducted for office buildings in the different climate zones and other age groups in Portugal are proposed.

Suggested Citation

  • Jorge Lopes & Rui A. F. Oliveira & Nerija Banaitiene & Audrius Banaitis, 2021. "A Staged Approach for Energy Retrofitting an Old Service Building: A Cost-Optimal Assessment," Energies, MDPI, vol. 14(21), pages 1-23, October.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:21:p:6929-:d:661876
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/14/21/6929/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/14/21/6929/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Schleich, Joachim & Gassmann, Xavier & Faure, Corinne & Meissner, Thomas, 2016. "Making the implicit explicit: A look inside the implicit discount rate," Energy Policy, Elsevier, vol. 97(C), pages 321-331.
    2. Rabani, Mehrdad & Bayera Madessa, Habtamu & Mohseni, Omid & Nord, Natasa, 2020. "Minimizing delivered energy and life cycle cost using Graphical script: An office building retrofitting case," Applied Energy, Elsevier, vol. 268(C).
    3. Brandão de Vasconcelos, Ana & Pinheiro, Manuel Duarte & Manso, Armando & Cabaço, António, 2015. "A Portuguese approach to define reference buildings for cost-optimal methodologies," Applied Energy, Elsevier, vol. 140(C), pages 316-328.
    4. Ballarini, Ilaria & Corrado, Vincenzo & Madonna, Francesco & Paduos, Simona & Ravasio, Franco, 2017. "Energy refurbishment of the Italian residential building stock: energy and cost analysis through the application of the building typology," Energy Policy, Elsevier, vol. 105(C), pages 148-160.
    5. Marta Maria Sesana & Mathieu Rivallain & Graziano Salvalai, 2020. "Overview of the Available Knowledge for the Data Model Definition of a Building Renovation Passport for Non-Residential Buildings: The ALDREN Project Experience," Sustainability, MDPI, vol. 12(2), pages 1-17, January.
    6. Brown, Donal & Sorrell, Steve & Kivimaa, Paula, 2019. "Worth the risk? An evaluation of alternative finance mechanisms for residential retrofit," Energy Policy, Elsevier, vol. 128(C), pages 418-430.
    7. Villarejo, Pablo & Gámez, Ramón & Santamaría-López, Ángel, 2021. "Building Renovation Passports in Spain: Integrating exiting instruments for building conservation, renovation and heritage protection," Energy Policy, Elsevier, vol. 157(C).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Agata Ołtarzewska & Dorota Anna Krawczyk, 2022. "Analysis of the Influence of Selected Factors on Heating Costs and Pollutant Emissions in a Cold Climate Based on the Example of a Service Building Located in Bialystok," Energies, MDPI, vol. 15(23), pages 1-13, December.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Constantinos A. Balaras & Andreas I. Theodoropoulos & Elena G. Dascalaki, 2023. "Geographic Information Systems for Facilitating Audits of the Urban Built Environment," Energies, MDPI, vol. 16(11), pages 1-26, May.
    2. Jiaxing Wang & Shigeru Matsumoto, 2022. "An economic model of home appliance replacement: application to refrigerator replacement among Japanese households," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 24(1), pages 29-48, January.
    3. Besagni, Giorgio & Premoli Vilà, Lidia & Borgarello, Marco & Trabucchi, Andrea & Merlo, Marco & Rodeschini, Jacopo & Finazzi, Francesco, 2021. "Electrification pathways of the Italian residential sector under socio-demographic constrains: Looking towards 2040," Energy, Elsevier, vol. 217(C).
    4. Luis M. López-Ochoa & Jesús Las-Heras-Casas & Luis M. López-González & César García-Lozano, 2020. "Energy Renovation of Residential Buildings in Cold Mediterranean Zones Using Optimized Thermal Envelope Insulation Thicknesses: The Case of Spain," Sustainability, MDPI, vol. 12(6), pages 1-34, March.
    5. Schleich, Joachim & Faure, Corinne & Meissner, Thomas, 2021. "Adoption of retrofit measures among homeowners in EU countries: The effects of access to capital and debt aversion," Energy Policy, Elsevier, vol. 149(C).
    6. Hanan S.S. Ibrahim & Ahmed Z. Khan & Shady Attia & Yehya Serag, 2021. "Classification of Heritage Residential Building Stock and Defining Sustainable Retrofitting Scenarios in Khedivial Cairo," Sustainability, MDPI, vol. 13(2), pages 1-26, January.
    7. Liping Liao & Chukun Huang & Minzhe Du, 2022. "The Effect of Energy Quota Trading on Energy Saving in China: Insight from a Quasi-Natural Experiment," Energies, MDPI, vol. 15(22), pages 1-17, November.
    8. Sameh Monna & Adel Juaidi & Ramez Abdallah & Aiman Albatayneh & Patrick Dutournie & Mejdi Jeguirim, 2021. "Towards Sustainable Energy Retrofitting, a Simulation for Potential Energy Use Reduction in Residential Buildings in Palestine," Energies, MDPI, vol. 14(13), pages 1-13, June.
    9. Olsthoorn, Mark & Schleich, Joachim & Faure, Corinne, 2019. "Exploring the diffusion of low-energy houses: An empirical study in the European Union," Energy Policy, Elsevier, vol. 129(C), pages 1382-1393.
    10. Fahlstedt, Oskar & Temeljotov-Salaj, Alenka & Lohne, Jardar & Bohne, Rolf André, 2022. "Holistic assessment of carbon abatement strategies in building refurbishment literature — A scoping review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).
    11. Mostafa M. Saad & Ramanunni Parakkal Menon & Ursula Eicker, 2023. "Supporting Decision Making for Building Decarbonization: Developing Surrogate Models for Multi-Criteria Building Retrofitting Analysis," Energies, MDPI, vol. 16(16), pages 1-28, August.
    12. Ibolya Czibere & Imre Kovách & Gergely Boldizsár Megyesi, 2020. "Environmental Citizenship and Energy Efficiency in Four European Countries (Italy, The Netherlands, Switzerland and Hungary)," Sustainability, MDPI, vol. 12(3), pages 1-18, February.
    13. Hasim Altan & Bertug Ozarisoy, 2022. "An Analysis of the Development of Modular Building Design Elements to Improve Thermal Performance of a Representative High Rise Residential Estate in the Coastline City of Famagusta, Cyprus," Sustainability, MDPI, vol. 14(7), pages 1-50, March.
    14. Shen, Pengyuan & Yang, Biao, 2020. "Projecting Texas energy use for residential sector under future climate and urbanization scenarios: A bottom-up method based on twenty-year regional energy use data," Energy, Elsevier, vol. 193(C).
    15. Joana Fernandes & Maria Catarina Santos & Rui Castro, 2021. "Introductory Review of Energy Efficiency in Buildings Retrofits," Energies, MDPI, vol. 14(23), pages 1-18, December.
    16. Paúl Espinoza-Zambrano & Carlos Marmolejo-Duarte & Alejandra García-Hooghuis, 2023. "Libro del Edificio Electrónico (LdE-e): Advancing towards a Comprehensive Tool for the Management and Renovation of Multifamily Buildings in Spain," Sustainability, MDPI, vol. 15(4), pages 1-26, February.
    17. Fischer, Robert & Toffolo, Andrea, 2022. "Is total system cost minimization fair to all the actors of an energy system? Not according to game theory," Energy, Elsevier, vol. 239(PC).
    18. Cattaneo, Cristina, 2018. "Internal and External Barriers to Energy Efficiency: Made-to-Measure Policy Interventions," CSI: Climate and Sustainable Innovation 269536, Fondazione Eni Enrico Mattei (FEEM).
    19. Dalia Streimikiene & Tomas Balezentis & Irena Alebaite, 2020. "Climate Change Mitigation in Households between Market Failures and Psychological Barriers," Energies, MDPI, vol. 13(11), pages 1-21, June.
    20. Nägeli, Claudio & Jakob, Martin & Catenazzi, Giacomo & Ostermeyer, York, 2020. "Policies to decarbonize the Swiss residential building stock: An agent-based building stock modeling assessment," Energy Policy, Elsevier, vol. 146(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:14:y:2021:i:21:p:6929-:d:661876. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.