IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v257y2022ics0360544222015080.html
   My bibliography  Save this article

Decarbonising the residential heating sector: A techno-economic assessment of selected technologies

Author

Listed:
  • Huckebrink, David
  • Bertsch, Valentin

Abstract

Decarbonising the residential heating sector through electrification can add to the existing flexibility demands in the electricity sector arising from spatio-temporal mismatches in supply in demand. Heat demand peaks during winter require seasonal flexibility, since solar availability is at its minimum, while uncontrolled scheduling of heating appliances requires short term flexibility. However, scheduling appliances optimally and seasonal energy storages can deliver short and long term flexibility by temporarily increasing indoor room temperatures in the short term, and hydrogen generation through electrolysis in the long term. Furthermore, waste heat of fuel cells for power supply coincides with heat demand during winter. Therefore, a techno-economic assessment of different heat provision technologies and refurbishments is performed with a building model implementing flexible heat demand. The model can invest in and schedule different appliances and thereby control the indoor temperature within given boundaries. Emission reductions are then applied and sensitivity analyses for indoor temperatures and H2 prices are performed. The results show that using a combination of solar PV, heat pumps, electrolysers and fuel cells is more cost-efficient than refurbishments. Hydrogen combustion is only used when hydrogen prices fall below gas prices, or when the lower indoor boundary temperature is above 23 °C.

Suggested Citation

  • Huckebrink, David & Bertsch, Valentin, 2022. "Decarbonising the residential heating sector: A techno-economic assessment of selected technologies," Energy, Elsevier, vol. 257(C).
    • Handle: RePEc:eee:energy:v:257:y:2022:i:c:s0360544222015080
    DOI: 10.1016/j.energy.2022.124605
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544222015080
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2022.124605?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Niina Helistö & Juha Kiviluoma & Jussi Ikäheimo & Topi Rasku & Erkka Rinne & Ciara O’Dwyer & Ran Li & Damian Flynn, 2019. "Backbone—An Adaptable Energy Systems Modelling Framework," Energies, MDPI, vol. 12(17), pages 1-34, September.
    2. Henrik Lund & Finn Arler & Poul Alberg Østergaard & Frede Hvelplund & David Connolly & Brian Vad Mathiesen & Peter Karnøe, 2017. "Simulation versus Optimisation: Theoretical Positions in Energy System Modelling," Energies, MDPI, vol. 10(7), pages 1-17, June.
    3. Ruhnau, Oliver & Bannik, Sergej & Otten, Sydney & Praktiknjo, Aaron & Robinius, Martin, 2019. "Direct or indirect electrification? A review of heat generation and road transport decarbonisation scenarios for Germany 2050," Energy, Elsevier, vol. 166(C), pages 989-999.
    4. Ou, Kai & Yuan, Wei-Wei & Kim, Young-Bae, 2021. "Development of optimal energy management for a residential fuel cell hybrid power system with heat recovery," Energy, Elsevier, vol. 219(C).
    5. Petkov, Ivalin & Gabrielli, Paolo, 2020. "Power-to-hydrogen as seasonal energy storage: an uncertainty analysis for optimal design of low-carbon multi-energy systems," Applied Energy, Elsevier, vol. 274(C).
    6. Chang, Miguel & Thellufsen, Jakob Zink & Zakeri, Behnam & Pickering, Bryn & Pfenninger, Stefan & Lund, Henrik & Østergaard, Poul Alberg, 2021. "Trends in tools and approaches for modelling the energy transition," Applied Energy, Elsevier, vol. 290(C).
    7. Assaf, Jihane & Shabani, Bahman, 2018. "Experimental study of a novel hybrid solar-thermal/PV-hydrogen system: Towards 100% renewable heat and power supply to standalone applications," Energy, Elsevier, vol. 157(C), pages 862-876.
    8. Lund, Peter D. & Lindgren, Juuso & Mikkola, Jani & Salpakari, Jyri, 2015. "Review of energy system flexibility measures to enable high levels of variable renewable electricity," Renewable and Sustainable Energy Reviews, Elsevier, vol. 45(C), pages 785-807.
    9. Guelpa, Elisa & Verda, Vittorio, 2021. "Demand response and other demand side management techniques for district heating: A review," Energy, Elsevier, vol. 219(C).
    10. David Huckebrink & Valentin Bertsch, 2021. "Integrating Behavioural Aspects in Energy System Modelling—A Review," Energies, MDPI, vol. 14(15), pages 1-26, July.
    11. Welder, Lara & Ryberg, D.Severin & Kotzur, Leander & Grube, Thomas & Robinius, Martin & Stolten, Detlef, 2018. "Spatio-temporal optimization of a future energy system for power-to-hydrogen applications in Germany," Energy, Elsevier, vol. 158(C), pages 1130-1149.
    12. Wu, Raphael & Mavromatidis, Georgios & Orehounig, Kristina & Carmeliet, Jan, 2017. "Multiobjective optimisation of energy systems and building envelope retrofit in a residential community," Applied Energy, Elsevier, vol. 190(C), pages 634-649.
    13. Nastasi, Benedetto & Lo Basso, Gianluigi, 2016. "Hydrogen to link heat and electricity in the transition towards future Smart Energy Systems," Energy, Elsevier, vol. 110(C), pages 5-22.
    14. Farmer, J. Doyne & Ives, Matthew & Way, Rupert & Mealy, Penny, 2020. "Empirically grounded technology forecasts and the energy transition," INET Oxford Working Papers 2021-01, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford, revised 2021.
    15. Salpakari, Jyri & Lund, Peter, 2016. "Optimal and rule-based control strategies for energy flexibility in buildings with PV," Applied Energy, Elsevier, vol. 161(C), pages 425-436.
    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. Groppi, Daniele & Feijoo, Felipe & Pfeifer, Antun & Garcia, Davide Astiaso & Duic, Neven, 2023. "Analyzing the impact of demand response and reserves in islands energy planning," Energy, Elsevier, vol. 278(C).
    2. Mitterrutzner, Benjamin & Callegher, Claudio Zandonella & Fraboni, Riccardo & Wilczynski, Eric & Pezzutto, Simon, 2023. "Review of heating and cooling technologies for buildings: A techno-economic case study of eleven European countries," Energy, Elsevier, vol. 284(C).
    3. He, Xianya & Huang, Jingzhi & Liu, Zekun & Lin, Jian & Jing, Rui & Zhao, Yingru, 2023. "Topology optimization of thermally activated building system in high-rise building," Energy, Elsevier, vol. 284(C).
    4. Gilmore, Nicholas & Koskinen, Ilpo & van Gennip, Domenique & Paget, Greta & Burr, Patrick A. & Obbard, Edward G. & Daiyan, Rahman & Sproul, Alistair & Kay, Merlinde & Lennon, Alison & Konstantinou, Ge, 2022. "Clean energy futures: An Australian based foresight study," Energy, Elsevier, vol. 260(C).
    5. Mosè Rossi & Lingkang Jin & Andrea Monforti Ferrario & Marialaura Di Somma & Amedeo Buonanno & Christina Papadimitriou & Andrei Morch & Giorgio Graditi & Gabriele Comodi, 2024. "Energy Hub and Micro-Energy Hub Architecture in Integrated Local Energy Communities: Enabling Technologies and Energy Planning Tools," Energies, MDPI, vol. 17(19), pages 1-50, September.
    6. Marco Noro & Filippo Busato, 2023. "Energy Saving, Energy Efficiency or Renewable Energy: Which Is Better for the Decarbonization of the Residential Sector in Italy?," Energies, MDPI, vol. 16(8), pages 1-21, April.

    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. Østergaard, P.A. & Lund, H. & Thellufsen, J.Z. & Sorknæs, P. & Mathiesen, B.V., 2022. "Review and validation of EnergyPLAN," Renewable and Sustainable Energy Reviews, Elsevier, vol. 168(C).
    2. Luigi Bottecchia & Pietro Lubello & Pietro Zambelli & Carlo Carcasci & Lukas Kranzl, 2021. "The Potential of Simulating Energy Systems: The Multi Energy Systems Simulator Model," Energies, MDPI, vol. 14(18), pages 1-27, September.
    3. Chang, Miguel & Lund, Henrik & Thellufsen, Jakob Zinck & Østergaard, Poul Alberg, 2023. "Perspectives on purpose-driven coupling of energy system models," Energy, Elsevier, vol. 265(C).
    4. Ortiz-Imedio, Rafael & Caglayan, Dilara Gulcin & Ortiz, Alfredo & Heinrichs, Heidi & Robinius, Martin & Stolten, Detlef & Ortiz, Inmaculada, 2021. "Power-to-Ships: Future electricity and hydrogen demands for shipping on the Atlantic coast of Europe in 2050," Energy, Elsevier, vol. 228(C).
    5. Kockel, Christina & Nolting, Lars & Priesmann, Jan & Praktiknjo, Aaron, 2022. "Does renewable electricity supply match with energy demand? – A spatio-temporal analysis for the German case," Applied Energy, Elsevier, vol. 308(C).
    6. Pastore, Lorenzo Mario & Lo Basso, Gianluigi & de Santoli, Livio, 2022. "Can the renewable energy share increase in electricity and gas grids takes out the competitiveness of gas-driven CHP plants for distributed generation?," Energy, Elsevier, vol. 256(C).
    7. Østergaard, Poul Alberg & Andersen, Anders N., 2023. "Optimal heat storage in district energy plants with heat pumps and electrolysers," Energy, Elsevier, vol. 275(C).
    8. Petkov, Ivalin & Gabrielli, Paolo & Spokaite, Marija, 2021. "The impact of urban district composition on storage technology reliance: trade-offs between thermal storage, batteries, and power-to-hydrogen," Energy, Elsevier, vol. 224(C).
    9. Manfren, Massimiliano & Nastasi, Benedetto & Groppi, Daniele & Astiaso Garcia, Davide, 2020. "Open data and energy analytics - An analysis of essential information for energy system planning, design and operation," Energy, Elsevier, vol. 213(C).
    10. Kachirayil, Febin & Weinand, Jann Michael & Scheller, Fabian & McKenna, Russell, 2022. "Reviewing local and integrated energy system models: insights into flexibility and robustness challenges," Applied Energy, Elsevier, vol. 324(C).
    11. Hunt, Julian David & Nascimento, Andreas & Zakeri, Behnam & Barbosa, Paulo Sérgio Franco, 2022. "Hydrogen Deep Ocean Link: a global sustainable interconnected energy grid," Energy, Elsevier, vol. 249(C).
    12. Lund, Henrik & Thellufsen, Jakob Zinck & Sorknæs, Peter & Mathiesen, Brian Vad & Chang, Miguel & Madsen, Poul Thøis & Kany, Mikkel Strunge & Skov, Iva Ridjan, 2022. "Smart energy Denmark. A consistent and detailed strategy for a fully decarbonized society," Renewable and Sustainable Energy Reviews, Elsevier, vol. 168(C).
    13. Nikas, A. & Gambhir, A. & Trutnevyte, E. & Koasidis, K. & Lund, H. & Thellufsen, J.Z. & Mayer, D. & Zachmann, G. & Miguel, L.J. & Ferreras-Alonso, N. & Sognnaes, I. & Peters, G.P. & Colombo, E. & Howe, 2021. "Perspective of comprehensive and comprehensible multi-model energy and climate science in Europe," Energy, Elsevier, vol. 215(PA).
    14. Klöckner, Kai & Letmathe, Peter, 2020. "Is the coherence of coal phase-out and electrolytic hydrogen production the golden path to effective decarbonisation?," Applied Energy, Elsevier, vol. 279(C).
    15. Sacha Hodencq & Mathieu Brugeron & Jaume Fitó & Lou Morriet & Benoit Delinchant & Frédéric Wurtz, 2021. "OMEGAlpes, an Open-Source Optimisation Model Generation Tool to Support Energy Stakeholders at District Scale," Energies, MDPI, vol. 14(18), pages 1-30, September.
    16. Finck, Christian & Li, Rongling & Kramer, Rick & Zeiler, Wim, 2018. "Quantifying demand flexibility of power-to-heat and thermal energy storage in the control of building heating systems," Applied Energy, Elsevier, vol. 209(C), pages 409-425.
    17. Marcy, Cara & Goforth, Teagan & Nock, Destenie & Brown, Maxwell, 2022. "Comparison of temporal resolution selection approaches in energy systems models," Energy, Elsevier, vol. 251(C).
    18. Finke, Jonas & Bertsch, Valentin, 2022. "Implementing a highly adaptable method for the multi-objective optimisation of energy systems," MPRA Paper 115504, University Library of Munich, Germany.
    19. Yue, Xiufeng & Patankar, Neha & Decarolis, Joseph & Chiodi, Alessandro & Rogan, Fionn & Deane, J.P. & O’Gallachoir, Brian, 2020. "Least cost energy system pathways towards 100% renewable energy in Ireland by 2050," Energy, Elsevier, vol. 207(C).
    20. Stinner, Sebastian & Huchtemann, Kristian & Müller, Dirk, 2016. "Quantifying the operational flexibility of building energy systems with thermal energy storages," Applied Energy, Elsevier, vol. 181(C), pages 140-154.

    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:eee:energy:v:257:y:2022:i:c:s0360544222015080. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    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.