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Usability of the EPC Tools for the Profitability Calculation of a Retrofitting in a Residential Building

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  • Alex Gonzalez Caceres

    (Department of Civil Engineering, Technical University of Denmark, Building 118, Room 243, 2800 Kgs. Lyngby, Denmark
    Department of Civil Engineering and Energy Technology, OsloMet—Oslo Metropolitan University, Postboks 4 St. Olav plass, 0130 Oslo, Norway)

  • Muriel Diaz

    (Departamento de Diseño y Teoría de la Arquitectura, Universidad del Bío-Bío, Av. Collao 1202, 4051381 Concepción, Chile)

Abstract

After the oil crisis in the 70s energy regulation codes were implemented, but a great portion of existing dwellings have not been retrofitted to current requirements. To face this issue several actions were taken in the European Union (EU), among these, the implementation of Energy Performance Certificates (EPC), which include a Recommendation List of Measures (RLMs) to retrofit buildings. Some concerns exist about the lack of confidence on these recommendations. The main objective of this study is to analyze the usefulness of the EPC, answering if it is possible to deliver a realistic financial assessment about renovation strategies using these tools. The study is based on three indicators: Consumption, energy saving variations and profitability. The study is based on a renovation project case study, where simulations and Life Cycle Cost Assessment (LCCA) were performed, in order to identify the different results that EPC’s and an energy efficiency assessment could lead to. The results show important differences in all the concepts evaluated.

Suggested Citation

  • Alex Gonzalez Caceres & Muriel Diaz, 2018. "Usability of the EPC Tools for the Profitability Calculation of a Retrofitting in a Residential Building," Sustainability, MDPI, vol. 10(9), pages 1-18, September.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:9:p:3159-:d:167710
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    References listed on IDEAS

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    1. Hsu, David, 2014. "How much information disclosure of building energy performance is necessary?," Energy Policy, Elsevier, vol. 64(C), pages 263-272.
    2. Michalak, Piotr, 2014. "The simple hourly method of EN ISO 13790 standard in Matlab/Simulink: A comparative study for the climatic conditions of Poland," Energy, Elsevier, vol. 75(C), pages 568-578.
    3. Abdulazeez Rotimi & Ali Bahadori-Jahromi & Anastasia Mylona & Paulina Godfrey & Darren Cook, 2017. "Estimation and Validation of Energy Consumption in UK Existing Hotel Building Using Dynamic Simulation Software," Sustainability, MDPI, vol. 9(8), pages 1-18, August.
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    Cited by:

    1. Carlos Marmolejo-Duarte & Ai Chen, 2019. "The Uneven Price Impact of Energy Efficiency Ratings on Housing Segments. Implications for Public Policy and Private Markets," Sustainability, MDPI, vol. 11(2), pages 1-23, January.
    2. Piotr Michalak, 2021. "Modelling of Solar Irradiance Incident on Building Envelopes in Polish Climatic Conditions: The Impact on Energy Performance Indicators of Residential Buildings," Energies, MDPI, vol. 14(14), pages 1-27, July.
    3. Ardeshir Mahdavi & Christiane Berger & Hadeer Amin & Eleni Ampatzi & Rune Korsholm Andersen & Elie Azar & Verena M. Barthelmes & Matteo Favero & Jakob Hahn & Dolaana Khovalyg & Henrik N. Knudsen & Ale, 2021. "The Role of Occupants in Buildings’ Energy Performance Gap: Myth or Reality?," Sustainability, MDPI, vol. 13(6), pages 1-44, March.
    4. Qiong He & S. Thomas Ng & Md. Uzzal Hossain & Godfried L. Augenbroe, 2020. "A Data-driven Approach for Sustainable Building Retrofit—A Case Study of Different Climate Zones in China," Sustainability, MDPI, vol. 12(11), pages 1-29, June.
    5. Kalevi Piira & Julia Kantorovitch & Lotta Kannari & Jouko Piippo & Nam Vu Hoang, 2022. "Decision Support Tool to Enable Real-Time Data-Driven Building Energy Retrofitting Design," Energies, MDPI, vol. 15(15), pages 1-17, July.

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