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Reducing committed emissions of heating towards 2050: Analysis of scenarios for the insulation of buildings and the decarbonisation of electricity generation

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  • Kaandorp, Chelsea
  • Miedema, Tes
  • Verhagen, Jeroen
  • van de Giesen, Nick
  • Abraham, Edo

Abstract

Infrastructure for heat provision in the built environment needs to change remarkably to support lowering carbon emissions and achieving climate mitigation targets before 2050. We propose a computational approach for finding a mix of heat options per neighbourhood that minimises cumulative carbon emissions between 2030 and 2050, referred to as committed emissions, while at the same time adhering to technological constraints at both the household and neighbourhood scales. To establish this approach, we integrated bottom-up heat demand modelling at neighbourhood scale with a mixed-integer non-linear optimisation problem. Nine scenarios with different pathways for the insulation of buildings and the decarbonisation in electricity generation were considered and applied to three neighbourhoods in the city of Amsterdam, the Netherlands. The results show that (i) the committed emissions are ten times lower between 2030 and 2050 in scenarios in which ambitious measures are taken for the insulation of buildings and the decarbonisation in electricity generation, (ii) only in these ‘ambitious scenarios’ low temperature heat systems, such as heat pumps and low temperature heat networks, are optimal solutions for minimising committed emissions, (iii) if less ambitious insulation and decarbonisation measures are taken, high temperature heat options can be part of the heat mix with lowest committed emissions, and (iv) the minimum heat density for low temperature heat networks is not always achieved, creating risks for carbon lock-ins when applying these heat networks. Our results clearly indicate that pathways for the retrofitting of buildings and the decarbonisation in electricity generation need to be taken into account jointly when designing renewable and low-carbon heat systems to optimally reduce carbon emissions towards 2050 and reduce future carbon lock-ins.

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  • Kaandorp, Chelsea & Miedema, Tes & Verhagen, Jeroen & van de Giesen, Nick & Abraham, Edo, 2022. "Reducing committed emissions of heating towards 2050: Analysis of scenarios for the insulation of buildings and the decarbonisation of electricity generation," Applied Energy, Elsevier, vol. 325(C).
  • Handle: RePEc:eee:appene:v:325:y:2022:i:c:s0306261922010315
    DOI: 10.1016/j.apenergy.2022.119759
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    1. Hietaharju, Petri & Pulkkinen, Jari & Ruusunen, Mika & Louis, Jean-Nicolas, 2021. "A stochastic dynamic building stock model for determining long-term district heating demand under future climate change," Applied Energy, Elsevier, vol. 295(C).
    2. Eggimann, Sven & Usher, Will & Eyre, Nick & Hall, Jim W., 2020. "How weather affects energy demand variability in the transition towards sustainable heating," Energy, Elsevier, vol. 195(C).
    3. Sonja Renssen, 2020. "The hydrogen solution?," Nature Climate Change, Nature, vol. 10(9), pages 799-801, September.
    4. Jennings, Mark & Fisk, David & Shah, Nilay, 2014. "Modelling and optimization of retrofitting residential energy systems at the urban scale," Energy, Elsevier, vol. 64(C), pages 220-233.
    5. Neirotti, Francesco & Noussan, Michel & Simonetti, Marco, 2020. "Towards the electrification of buildings heating - Real heat pumps electricity mixes based on high resolution operational profiles," Energy, Elsevier, vol. 195(C).
    6. Gabrielli, Paolo & Gazzani, Matteo & Martelli, Emanuele & Mazzotti, Marco, 2018. "Optimal design of multi-energy systems with seasonal storage," Applied Energy, Elsevier, vol. 219(C), pages 408-424.
    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. Vesterlund, Mattias & Toffolo, Andrea & Dahl, Jan, 2017. "Optimization of multi-source complex district heating network, a case study," Energy, Elsevier, vol. 126(C), pages 53-63.
    9. Majcen, D. & Itard, L.C.M. & Visscher, H., 2013. "Theoretical vs. actual energy consumption of labelled dwellings in the Netherlands: Discrepancies and policy implications," Energy Policy, Elsevier, vol. 54(C), pages 125-136.
    10. Werner, Sven, 2017. "International review of district heating and cooling," Energy, Elsevier, vol. 137(C), pages 617-631.
    11. Bartolozzi, Irene & Rizzi, Francesco & Frey, Marco, 2017. "Are district heating systems and renewable energy sources always an environmental win-win solution? A life cycle assessment case study in Tuscany, Italy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 408-420.
    12. Robert Gross & Richard Hanna, 2019. "Path dependency in provision of domestic heating," Nature Energy, Nature, vol. 4(5), pages 358-364, May.
    13. Birgit A. Henrich & Thomas Hoppe & Devin Diran & Zofia Lukszo, 2021. "The Use of Energy Models in Local Heating Transition Decision Making: Insights from Ten Municipalities in The Netherlands," Energies, MDPI, vol. 14(2), pages 1-23, January.
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    1. Vítor de Castro Paes & Clinton Hudson Moreira Pessoa & Rodrigo Pereira Pagliusi & Carlos Eduardo Barbosa & Matheus Argôlo & Yuri Oliveira de Lima & Herbert Salazar & Alan Lyra & Jano Moreira de Souza, 2023. "Analyzing the Challenges for Future Smart and Sustainable Cities," Sustainability, MDPI, vol. 15(10), pages 1-18, May.
    2. Maéva Dang & Andy van den Dobbelsteen & Paul Voskuilen, 2024. "A Parametric Modelling Approach for Energy Retrofitting Heritage Buildings: The Case of Amsterdam City Centre," Energies, MDPI, vol. 17(5), pages 1-20, February.

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