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New step-by-step retrofitting model for delivering optimum timing

Author

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  • Maia, Iná
  • Kranzl, Lukas
  • Müller, Andreas

Abstract

Although the Energy Performance of Buildings Directive 2018/844/EU introduced the building renovation passport and by such proposed to consider step-by-step renovation, a literature review could not identify any explicit step-by-step retrofitting optimisation model. Therefore, the present study seeks to explore the following research questions: which indications regarding the optimum timing of renovation steps can a net present value maximising model deliver; how are model’s results impacted by the interdependency of renovation steps and by homeowner’s budget restrictions. The model relies on three pillars: homeowners’ budget restrictions; building material ageing processes; and interdependency between the retrofitting steps. Implemented as a mixed-integer linear program, it maximises the net present value of households’ energy-related cash flows, and delivers the optimum timing when each step should be performed. As input data, five real-life building renovation roadmaps were used. The appropriate metric to assess building’s retrofitting energy savings is also discussed. When comparing both single-step and step-by-step approaches, the step-by-step presented 11–22% higher cumulated energy savings. Results also show that a renovation period would last between 1 and 14 years and 2 to 11 years, depending on whether interdependency of measures is considered. This has direct implications on the improvement of building stocks’ energy efficiency, and consequently, the achievement of decarbonisation targets set for 2050. In this context, the model delivers a more concrete time horizon perspective in regards to the achievement of these targets. Future work will include quantifying the economic effects of interdependency of steps and expanding the analysis for varies techno-economic building typologies.

Suggested Citation

  • Maia, Iná & Kranzl, Lukas & Müller, Andreas, 2021. "New step-by-step retrofitting model for delivering optimum timing," Applied Energy, Elsevier, vol. 290(C).
  • Handle: RePEc:eee:appene:v:290:y:2021:i:c:s0306261921002348
    DOI: 10.1016/j.apenergy.2021.116714
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    References listed on IDEAS

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    1. Achtnicht, Martin & Madlener, Reinhard, 2014. "Factors influencing German house owners' preferences on energy retrofits," Energy Policy, Elsevier, vol. 68(C), pages 254-263.
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    Cited by:

    1. Maia, Iná E.N. & Harringer, Daniel & Kranzl, Lukas, 2024. "Household budget restrictions as reason for staged retrofits: A case study in Spain," Energy Policy, Elsevier, vol. 188(C).
    2. Amar Bennadji & Mohammed Seddiki & Jamal Alabid & Richard Laing & David Gray, 2022. "Predicting Energy Savings of the UK Housing Stock under a Step-by-Step Energy Retrofit Scenario towards Net-Zero," Energies, MDPI, vol. 15(9), pages 1-18, April.
    3. 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.
    4. Petkov, Ivalin & Mavromatidis, Georgios & Knoeri, Christof & Allan, James & Hoffmann, Volker H., 2022. "MANGOret: An optimization framework for the long-term investment planning of building multi-energy system and envelope retrofits," Applied Energy, Elsevier, vol. 314(C).

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