IDEAS home Printed from https://ideas.repec.org/a/eee/enepol/v153y2021ics030142152100118x.html
   My bibliography  Save this article

FTT:Heat — A simulation model for technological change in the European residential heating sector

Author

Listed:
  • Knobloch, Florian
  • Pollitt, Hector
  • Chewpreecha, Unnada
  • Lewney, Richard
  • Huijbregts, Mark A.J.
  • Mercure, Jean-Francois

Abstract

We introduce a new bottom-up model for simulating Future Technology Transformations in the European residential heating sector, FTT:Heat. The model simulates the uptake and replacement of heating technologies by households in all individual Member States up to 2050, and allows to simulate the potential effect of real-world policy instruments aiming at an increased uptake of low-carbon technologies. It features an explicit representation of households' technology choices, based on observed preferences and non-linear diffusion dynamics. Decision-makers are modelled as individual households, which are subject to limited information and bounded rationality. Their decisions reflect behavioural factors and preferences at the micro level, and may result in sub-optimal outcomes from a macroeconomic perspective. For demonstration, we simulate policy mixes for reaching the EU's 2030 renewable heating targets in each Member State. Under current diffusion trends, some countries are estimated to continue an ongoing transition towards renewable heating, while others would hardly see any decarbonisation. For increasing the share of renewable heating by at least ten percentage points until 2030, 20 Member States need to introduce additional policies, the necessary stringency of which differs between countries. Due to the slow turnover of heating systems, resulting cost increases faced by households could persist over decades.

Suggested Citation

  • Knobloch, Florian & Pollitt, Hector & Chewpreecha, Unnada & Lewney, Richard & Huijbregts, Mark A.J. & Mercure, Jean-Francois, 2021. "FTT:Heat — A simulation model for technological change in the European residential heating sector," Energy Policy, Elsevier, vol. 153(C).
  • Handle: RePEc:eee:enepol:v:153:y:2021:i:c:s030142152100118x
    DOI: 10.1016/j.enpol.2021.112249
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S030142152100118X
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.enpol.2021.112249?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. Mercure, J.-F. & Pollitt, H. & Chewpreecha, U. & Salas, P. & Foley, A.M. & Holden, P.B. & Edwards, N.R., 2014. "The dynamics of technology diffusion and the impacts of climate policy instruments in the decarbonisation of the global electricity sector," Energy Policy, Elsevier, vol. 73(C), pages 686-700.
    2. Kenneth Gillingham & Karen Palmer, 2014. "Bridging the Energy Efficiency Gap: Policy Insights from Economic Theory and Empirical Evidence," Review of Environmental Economics and Policy, Association of Environmental and Resource Economists, vol. 8(1), pages 18-38, January.
    3. Frank W. Geels & Frans Berkhout & Detlef P. van Vuuren, 2016. "Bridging analytical approaches for low-carbon transitions," Nature Climate Change, Nature, vol. 6(6), pages 576-583, June.
    4. Cayla, Jean-Michel & Maïzi, Nadia, 2015. "Integrating household behavior and heterogeneity into the TIMES-Households model," Applied Energy, Elsevier, vol. 139(C), pages 56-67.
    5. Olsthoorn, Mark & Schleich, Joachim & Gassmann, Xavier & Faure, Corinne, 2017. "Free riding and rebates for residential energy efficiency upgrades: A multi-country contingent valuation experiment," Energy Economics, Elsevier, vol. 68(S1), pages 33-44.
    6. J-F Mercure & H. Pollitt & N. R. Edwards & P. B. Holden & U. Chewpreecha & P. Salas & A. Lam & F. Knobloch & J. Vinuales, 2017. "Environmental impact assessment for climate change policy with the simulation-based integrated assessment model E3ME-FTT-GENIE," Papers 1707.04870, arXiv.org, revised Jan 2018.
    7. Richard G. Newell & Juha Siikamäki, 2015. "Individual Time Preferences and Energy Efficiency," American Economic Review, American Economic Association, vol. 105(5), pages 196-200, May.
    8. Isaac, Morna & van Vuuren, Detlef P., 2009. "Modeling global residential sector energy demand for heating and air conditioning in the context of climate change," Energy Policy, Elsevier, vol. 37(2), pages 507-521, February.
    9. Michelsen, Carl Christian & Madlener, Reinhard, 2012. "Homeowners' preferences for adopting innovative residential heating systems: A discrete choice analysis for Germany," Energy Economics, Elsevier, vol. 34(5), pages 1271-1283.
    10. Arthur, W Brian, 1989. "Competing Technologies, Increasing Returns, and Lock-In by Historical Events," Economic Journal, Royal Economic Society, vol. 99(394), pages 116-131, March.
    11. J. -F. Mercure & H. Pollitt & A. M. Bassi & J. E Vi~nuales & N. R. Edwards, 2015. "Modelling complex systems of heterogeneous agents to better design sustainability transitions policy," Papers 1506.07432, arXiv.org, revised Feb 2016.
    12. Frederiks, Elisha R. & Stenner, Karen & Hobman, Elizabeth V., 2015. "Household energy use: Applying behavioural economics to understand consumer decision-making and behaviour," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 1385-1394.
    13. Achtnicht, Martin & Madlener, Reinhard, 2014. "Factors influencing German house owners' preferences on energy retrofits," Energy Policy, Elsevier, vol. 68(C), pages 254-263.
    14. Hecher, Maria & Hatzl, Stefanie & Knoeri, Christof & Posch, Alfred, 2017. "The trigger matters: The decision-making process for heating systems in the residential building sector," Energy Policy, Elsevier, vol. 102(C), pages 288-306.
    15. Varun Rai & Adam Douglas Henry, 2016. "Agent-based modelling of consumer energy choices," Nature Climate Change, Nature, vol. 6(6), pages 556-562, June.
    16. Karytsas, Spyridon & Choropanitis, Ioannis, 2017. "Barriers against and actions towards renewable energy technologies diffusion: A Principal Component Analysis for residential ground source heat pump (GSHP) systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 78(C), pages 252-271.
    17. Herbert A. Simon, 1955. "A Behavioral Model of Rational Choice," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 69(1), pages 99-118.
    18. Jean-François Mercure, 2015. "An age structured demographic theory of technological change," Journal of Evolutionary Economics, Springer, vol. 25(4), pages 787-820, September.
    19. Romagnoli, Francesco & Barisa, Aiga & Dzene, Ilze & Blumberga, Andra & Blumberga, Dagnija, 2014. "Implementation of different policy strategies promoting the use of wood fuel in the Latvian district heating system: Impact evaluation through a system dynamic model," Energy, Elsevier, vol. 76(C), pages 210-222.
    20. Grubler, Arnulf & Nakicenovic, Nebojsa & Victor, David G., 1999. "Dynamics of energy technologies and global change," Energy Policy, Elsevier, vol. 27(5), pages 247-280, May.
    21. Global Energy Assessment Writing Team,, 2012. "Global Energy Assessment," Cambridge Books, Cambridge University Press, number 9781107005198.
    22. Geels, Frank W., 2002. "Technological transitions as evolutionary reconfiguration processes: a multi-level perspective and a case-study," Research Policy, Elsevier, vol. 31(8-9), pages 1257-1274, December.
    23. Susan Clayton & Patrick Devine-Wright & Paul C. Stern & Lorraine Whitmarsh & Amanda Carrico & Linda Steg & Janet Swim & Mirilia Bonnes, 2015. "Psychological research and global climate change," Nature Climate Change, Nature, vol. 5(7), pages 640-646, July.
    24. Cansino, José M. & Pablo-Romero, María del P. & Román, Rocío & Yñiguez, Rocío, 2011. "Promoting renewable energy sources for heating and cooling in EU-27 countries," Energy Policy, Elsevier, vol. 39(6), pages 3803-3812, June.
    25. Abrahamse, Wokje & Steg, Linda, 2009. "How do socio-demographic and psychological factors relate to households' direct and indirect energy use and savings?," Journal of Economic Psychology, Elsevier, vol. 30(5), pages 711-720, October.
    26. Steg, Linda, 2008. "Promoting household energy conservation," Energy Policy, Elsevier, vol. 36(12), pages 4449-4453, December.
    27. Charlie Wilson & Arnulf Grubler, 2011. "Lessons from the history of technological change for clean energy scenarios and policies," Natural Resources Forum, Blackwell Publishing, vol. 35(3), pages 165-184, August.
    28. Connolly, D. & Lund, H. & Mathiesen, B.V. & Werner, S. & Möller, B. & Persson, U. & Boermans, T. & Trier, D. & Østergaard, P.A. & Nielsen, S., 2014. "Heat Roadmap Europe: Combining district heating with heat savings to decarbonise the EU energy system," Energy Policy, Elsevier, vol. 65(C), pages 475-489.
    29. Daioglou, Vassilis & van Ruijven, Bas J. & van Vuuren, Detlef P., 2012. "Model projections for household energy use in developing countries," Energy, Elsevier, vol. 37(1), pages 601-615.
    30. Mercure, Jean-François, 2012. "FTT:Power : A global model of the power sector with induced technological change and natural resource depletion," Energy Policy, Elsevier, vol. 48(C), pages 799-811.
    31. Schleich, Joachim & Gassmann, Xavier & Faure, Corinne & Meissner, Thomas, 2016. "Making the implicit explicit: A look inside the implicit discount rate," Energy Policy, Elsevier, vol. 97(C), pages 321-331.
    32. Giraudet, Louis-Gaëtan & Guivarch, Céline & Quirion, Philippe, 2012. "Exploring the potential for energy conservation in French households through hybrid modeling," Energy Economics, Elsevier, vol. 34(2), pages 426-445.
    33. Mahapatra, Krushna & Gustavsson, Leif, 2008. "An adopter-centric approach to analyze the diffusion patterns of innovative residential heating systems in Sweden," Energy Policy, Elsevier, vol. 36(2), pages 577-590, February.
    34. Connor, Peter & Bürger, Veit & Beurskens, Luuk & Ericsson, Karin & Egger, Christiane, 2013. "Devising renewable heat policy: Overview of support options," Energy Policy, Elsevier, vol. 59(C), pages 3-16.
    35. Kranzl, Lukas & Hummel, Marcus & Müller, Andreas & Steinbach, Jan, 2013. "Renewable heating: Perspectives and the impact of policy instruments," Energy Policy, Elsevier, vol. 59(C), pages 44-58.
    36. Jean-Francois Mercure & Florian Knobloch & Hector Pollitt & Leonidas Paroussos & S. Serban Scrieciu & Richard Lewney, 2019. "Modelling innovation and the macroeconomics of low-carbon transitions: theory, perspectives and practical use," Climate Policy, Taylor & Francis Journals, vol. 19(8), pages 1019-1037, September.
    37. Geels, Frank W., 2004. "From sectoral systems of innovation to socio-technical systems: Insights about dynamics and change from sociology and institutional theory," Research Policy, Elsevier, vol. 33(6-7), pages 897-920, September.
    38. Stadler, Michael & Kranzl, Lukas & Huber, Claus & Haas, Reinhard & Tsioliaridou, Elena, 2007. "Policy strategies and paths to promote sustainable energy systems--The dynamic Invert simulation tool," Energy Policy, Elsevier, vol. 35(1), pages 597-608, January.
    39. Global Energy Assessment Writing Team,, 2012. "Global Energy Assessment," Cambridge Books, Cambridge University Press, number 9780521182935.
    40. F. Knobloch & J. -F. Mercure, 2016. "The behavioural aspect of green technology investments: a general positive model in the context of heterogeneous agents," Papers 1603.06888, arXiv.org.
    41. Li, Francis G.N. & Trutnevyte, Evelina & Strachan, Neil, 2015. "A review of socio-technical energy transition (STET) models," Technological Forecasting and Social Change, Elsevier, vol. 100(C), pages 290-305.
    42. Paul C. Stern, 1986. "Blind spots in policy analysis: What economics doesn't say about energy use," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 5(2), pages 200-227.
    43. Jerry A. Hausman, 1979. "Individual Discount Rates and the Purchase and Utilization of Energy-Using Durables," Bell Journal of Economics, The RAND Corporation, vol. 10(1), pages 33-54, Spring.
    44. Rivers, Nic & Jaccard, Mark, 2006. "Useful models for simulating policies to induce technological change," Energy Policy, Elsevier, vol. 34(15), pages 2038-2047, October.
    45. Li, Pei-Hao & Keppo, Ilkka & Strachan, Neil, 2018. "Incorporating homeowners' preferences of heating technologies in the UK TIMES model," Energy, Elsevier, vol. 148(C), pages 716-727.
    46. Train, Kenneth, 1985. "Discount rates in consumers' energy-related decisions: A review of the literature," Energy, Elsevier, vol. 10(12), pages 1243-1253.
    47. Ziemele, Jelena & Gravelsins, Armands & Blumberga, Andra & Vigants, Girts & Blumberga, Dagnija, 2016. "System dynamics model analysis of pathway to 4th generation district heating in Latvia," Energy, Elsevier, vol. 110(C), pages 85-94.
    48. Maya Sopha, Bertha & Klöckner, Christian A. & Hertwich, Edgar G., 2011. "Exploring policy options for a transition to sustainable heating system diffusion using an agent-based simulation," Energy Policy, Elsevier, vol. 39(5), pages 2722-2729, May.
    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. López-Bernabé, Elena & Linares, Pedro & Galarraga, Ibon, 2022. "Energy-efficiency policies for decarbonising residential heating in Spain: A fuzzy cognitive mapping approach," Energy Policy, Elsevier, vol. 171(C).

    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. Florian Knobloch & Hector Pollitt & Unnada Chewpreecha & Vassilis Daioglou & Jean-Francois Mercure, 2017. "Simulating the deep decarbonisation of residential heating for limiting global warming to 1.5C," Papers 1710.11019, arXiv.org, revised May 2018.
    2. Odenweller, Adrian, 2022. "Climate mitigation under S-shaped energy technology diffusion: Leveraging synergies of optimisation and simulation models," Technological Forecasting and Social Change, Elsevier, vol. 178(C).
    3. F. Knobloch & J. -F. Mercure, 2016. "The behavioural aspect of green technology investments: a general positive model in the context of heterogeneous agents," Papers 1603.06888, arXiv.org.
    4. Mercure, Jean-François, 2018. "Fashion, fads and the popularity of choices: Micro-foundations for diffusion consumer theory," Structural Change and Economic Dynamics, Elsevier, vol. 46(C), pages 194-207.
    5. Li, Francis G.N. & Trutnevyte, Evelina & Strachan, Neil, 2015. "A review of socio-technical energy transition (STET) models," Technological Forecasting and Social Change, Elsevier, vol. 100(C), pages 290-305.
    6. Mercure, J.-F. & Pollitt, H. & Chewpreecha, U. & Salas, P. & Foley, A.M. & Holden, P.B. & Edwards, N.R., 2014. "The dynamics of technology diffusion and the impacts of climate policy instruments in the decarbonisation of the global electricity sector," Energy Policy, Elsevier, vol. 73(C), pages 686-700.
    7. J. -F. Mercure & H. Pollitt & A. M. Bassi & J. E Vi~nuales & N. R. Edwards, 2015. "Modelling complex systems of heterogeneous agents to better design sustainability transitions policy," Papers 1506.07432, arXiv.org, revised Feb 2016.
    8. Isabel Haase & Herena Torio, 2021. "The Impact of the Climate Action Programme 2030 and Federal State Measures on the Uptake of Renewable Heating Systems in Lower Saxony’s Building Stock," Energies, MDPI, vol. 14(9), pages 1-25, April.
    9. Hecher, Maria & Hatzl, Stefanie & Knoeri, Christof & Posch, Alfred, 2017. "The trigger matters: The decision-making process for heating systems in the residential building sector," Energy Policy, Elsevier, vol. 102(C), pages 288-306.
    10. Schleich, Joachim & Gassmann, Xavier & Faure, Corinne & Meissner, Thomas, 2016. "Making the implicit explicit: A look inside the implicit discount rate," Energy Policy, Elsevier, vol. 97(C), pages 321-331.
    11. Sijm, Jos & Lehmann, Paul & Chewpreecha, Unnada & Gawel, Erik & Mercure, Jean-Francois & Pollitt, Hector & Strunz, Sebastian, 2014. "EU climate and energy policy beyond 2020: Are additional targets and instruments for renewables economically reasonable?," UFZ Discussion Papers 3/2014, Helmholtz Centre for Environmental Research (UFZ), Division of Social Sciences (ÖKUS).
    12. J.-F. Mercure & A. Lam & S. Billington & H. Pollitt, 2018. "Integrated assessment modelling as a positive science: private passenger road transport policies to meet a climate target well below 2 ∘C," Climatic Change, Springer, vol. 151(2), pages 109-129, November.
    13. Fischbacher, Urs & Schudy, Simeon & Teyssier, Sabrina, 2021. "Heterogeneous preferences and investments in energy saving measures," Resource and Energy Economics, Elsevier, vol. 63(C).
    14. Michael Grubb & Jean-Francois Mercure & Pablo Salas & Rutger-Jan Lange & Ida Sognnaes, 2018. "Systems Innovation, Inertia and Pliability: A mathematical exploration with implications for climate change abatement," Working Papers EPRG 1808, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
    15. Lamperti, F. & Dosi, G. & Napoletano, M. & Roventini, A. & Sapio, A., 2020. "Climate change and green transitions in an agent-based integrated assessment model," Technological Forecasting and Social Change, Elsevier, vol. 153(C).
    16. Jean-François Mercure, 2015. "An age structured demographic theory of technological change," Journal of Evolutionary Economics, Springer, vol. 25(4), pages 787-820, September.
    17. Nava-Guerrero, Graciela-del-Carmen & Hansen, Helle Hvid & Korevaar, Gijsbert & Lukszo, Zofia, 2021. "The effect of group decisions in heat transitions: An agent-based approach," Energy Policy, Elsevier, vol. 156(C).
    18. Mercure, Jean-François & Salas, Pablo, 2013. "On the global economic potentials and marginal costs of non-renewable resources and the price of energy commodities," Energy Policy, Elsevier, vol. 63(C), pages 469-483.
    19. van Sluisveld, Mariësse A.E. & Martínez, Sara Herreras & Daioglou, Vassilis & van Vuuren, Detlef P., 2016. "Exploring the implications of lifestyle change in 2°C mitigation scenarios using the IMAGE integrated assessment model," Technological Forecasting and Social Change, Elsevier, vol. 102(C), pages 309-319.
    20. Alisa Freyre & Stefano Cozza & Matthias Rüetschi & Meinrad Bürer & Marlyne Sahakian & Martin K. Patel, 2021. "How to Improve Effectiveness of Renewable Space Heating Programs by Better Understanding Homeowner—Installer Interactions," Energies, MDPI, vol. 14(15), pages 1-24, July.

    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:enepol:v:153:y:2021:i:c:s030142152100118x. 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.elsevier.com/locate/enpol .

    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.