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Optimal building retrofit pathways considering stock dynamics and climate change impacts

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  • Streicher, Kai Nino
  • Berger, Matthias
  • Panos, Evangelos
  • Narula, Kapil
  • Soini, Martin Christoph
  • Patel, Martin K.

Abstract

Deep energy retrofit across the European building stock would require decades during which boundary conditions will change. This study identifies a range of retrofit pathways, using a dynamic stock model, a bottom-up energy model and an optimization model for different climate scenarios. We consider 1.1 million different retrofit options in the Swiss residential building stock for different economic/environmental objectives until 2060. Despite the replacement of old by new buildings, energy demand and greenhouse gas (GHG) emissions in the reference scenario without deep energy retrofitting are likely to decrease by only about 25%, while accounting for investments of 2–3 billion CHF/a. Partial energy retrofitting or an investment-minimized pathway are neither cost-effective nor sufficient to get close to the net zero targets. In contrast, the highest GHG-saving pathway leads to very high emission reduction of 90%, but requires investment cost of 9 billion CHF/a, which leads to specific cost of 180 CHF/t CO2eq. The cost-optimal pathway shows moderate trade-offs for investment cost and could reach GHG savings of 77% with specific cost of −140 CHF/t CO2eq. Hence, early and deep energy retrofit is cost-effective and allows deep GHG emission reductions by making full use of the synergies between GHG and cost savings.

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  • Streicher, Kai Nino & Berger, Matthias & Panos, Evangelos & Narula, Kapil & Soini, Martin Christoph & Patel, Martin K., 2021. "Optimal building retrofit pathways considering stock dynamics and climate change impacts," Energy Policy, Elsevier, vol. 152(C).
    • Handle: RePEc:eee:enepol:v:152:y:2021:i:c:s0301421521000896
    DOI: 10.1016/j.enpol.2021.112220
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    References listed on IDEAS

    as
    1. Lang, Ghislaine & Lanz, Bruno, 2021. "Energy efficiency, information, and the acceptability of rent increases: A survey experiment with tenants," Energy Economics, Elsevier, vol. 95(C).
    2. Chambers, Jonathan & Narula, Kapil & Sulzer, Matthias & Patel, Martin K., 2019. "Mapping district heating potential under evolving thermal demand scenarios and technologies: A case study for Switzerland," Energy, Elsevier, vol. 176(C), pages 682-692.
    3. Siller, Thomas & Kost, Michael & Imboden, Dieter, 2007. "Long-term energy savings and greenhouse gas emission reductions in the Swiss residential sector," Energy Policy, Elsevier, vol. 35(1), pages 529-539, January.
    4. Jakob, Martin, 2006. "Marginal costs and co-benefits of energy efficiency investments: The case of the Swiss residential sector," Energy Policy, Elsevier, vol. 34(2), pages 172-187, January.
    5. Dineen, D. & Ó Gallachóir, B.P., 2017. "Exploring the range of energy savings likely from energy efficiency retrofit measures in Ireland's residential sector," Energy, Elsevier, vol. 121(C), pages 126-134.
    6. Abolfazl Farahani & Holger Wallbaum & Jan-Olof Dalenbäck, 2019. "Optimized maintenance and renovation scheduling in multifamily buildings – a systematic approach based on condition state and life cycle cost of building components," Construction Management and Economics, Taylor & Francis Journals, vol. 37(3), pages 139-155, March.
    7. Swan, Lukas G. & Ugursal, V. Ismet, 2009. "Modeling of end-use energy consumption in the residential sector: A review of modeling techniques," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(8), pages 1819-1835, October.
    8. Laura Gabrielli & Aurora Ruggeri, 2019. "Developing a model for energy retrofit in large building portfolios: energy assessment, optimization and uncertainty," ERES eres2019_203, European Real Estate Society (ERES).
    9. Sartori, Igor & Wachenfeldt, Bjrn Jensen & Hestnes, Anne Grete, 2009. "Energy demand in the Norwegian building stock: Scenarios on potential reduction," Energy Policy, Elsevier, vol. 37(5), pages 1614-1627, May.
    10. Schimschar, Sven & Blok, Kornelis & Boermans, Thomas & Hermelink, Andreas, 2011. "Germany's path towards nearly zero-energy buildings--Enabling the greenhouse gas mitigation potential in the building stock," Energy Policy, Elsevier, vol. 39(6), pages 3346-3360, June.
    11. García Kerdan, Iván & Raslan, Rokia & Ruyssevelt, Paul & Morillón Gálvez, David, 2017. "The role of an exergy-based building stock model for exploration of future decarbonisation scenarios and policy making," Energy Policy, Elsevier, vol. 105(C), pages 467-483.
    12. Yazdanie, Mashael & Densing, Martin & Wokaun, Alexander, 2017. "Cost optimal urban energy systems planning in the context of national energy policies: A case study for the city of Basel," Energy Policy, Elsevier, vol. 110(C), pages 176-190.
    13. Shen, Pengyuan & Braham, William & Yi, Yunkyu, 2019. "The feasibility and importance of considering climate change impacts in building retrofit analysis," Applied Energy, Elsevier, vol. 233, pages 254-270.
    14. Amstalden, Roger W. & Kost, Michael & Nathani, Carsten & Imboden, Dieter M., 2007. "Economic potential of energy-efficient retrofitting in the Swiss residential building sector: The effects of policy instruments and energy price expectations," Energy Policy, Elsevier, vol. 35(3), pages 1819-1829, March.
    15. Narula, Kapil & Chambers, Jonathan & Streicher, Kai N. & Patel, Martin K., 2019. "Strategies for decarbonising the Swiss heating system," Energy, Elsevier, vol. 169(C), pages 1119-1131.
    16. Mata, Érika & Kalagasidis, Angela Sasic & Johnsson, Filip, 2018. "Contributions of building retrofitting in five member states to EU targets for energy savings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 93(C), pages 759-774.
    17. 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).
    Full references (including those not matched with items on IDEAS)

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    2. Li, Xiang & Yilmaz, Selin & Patel, Martin K. & Chambers, Jonathan, 2023. "Techno-economic analysis of fifth-generation district heating and cooling combined with seasonal borehole thermal energy storage," Energy, Elsevier, vol. 285(C).
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    6. 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).
    7. De Masi, Rosa Francesca & Gigante, Antonio & Ruggiero, Silvia & Vanoli, Giuseppe Peter, 2021. "Impact of weather data and climate change projections in the refurbishment design of residential buildings in cooling dominated climate," Applied Energy, Elsevier, vol. 303(C).
    8. Thrampoulidis, Emmanouil & Hug, Gabriela & Orehounig, Kristina, 2023. "Approximating optimal building retrofit solutions for large-scale retrofit analysis," Applied Energy, Elsevier, vol. 333(C).

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