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A comprehensive review of integrating behavioral drivers of technology adoption and energy service use in energy system models

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  • Galster, H.S.
  • Van der Wal, A.J.
  • Batenburg, A.E.
  • Koning, V.
  • Faaij, A.P.C.

Abstract

Energy System Models (ESMs) that aim at describing and exploring pathways towards a decarbonized future energy system currently account insufficiently for the behavior of households and individuals. To address this shortcoming, this study evaluates models' existing approaches to incorporate behavior considering social science insights to advance the models' behavioral realism. A structured literature review and expert interviews were employed, selecting sixteen ESMs and two sectoral energy models for further investigation. Main data sources for the analysis were model descriptions and interview notes. The results show a predominant focus of models on financial aspects of adoption decisions and energy service use, while there is less consideration of non-economic behavioral drivers. Models also often rely on a weak empirical foundation for behavioral drivers. Based on these findings, advancing the representation of behavior in ESMs is needed to strengthen the realism of models’ explorative and descriptive insights. This analysis outlines concrete strategies to guide such an endeavor. It is recommended to consider relevant drivers of energy-related behavior, to employ a data-driven approach which relates behavioral outcomes to these drivers, and to define actor heterogeneity according to meaningful behavioral differences. In comparison to optimization approaches, the flexibility of simulation modelling provides a wider range of options for incorporating and analyzing behavioral aspects in ESMs. Future interdisciplinary research should further align social science insights with energy system modelling, building on the suggested strategies, to improve the accuracy of model predictions and to facilitate the consideration of behavioral aspects in the energy transition.

Suggested Citation

  • Galster, H.S. & Van der Wal, A.J. & Batenburg, A.E. & Koning, V. & Faaij, A.P.C., 2025. "A comprehensive review of integrating behavioral drivers of technology adoption and energy service use in energy system models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 214(C).
    • Handle: RePEc:eee:rensus:v:214:y:2025:i:c:s1364032125001935
    DOI: 10.1016/j.rser.2025.115520
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    1. Labandeira, Xavier & Labeaga, José M. & López-Otero, Xiral, 2017. "A meta-analysis on the price elasticity of energy demand," Energy Policy, Elsevier, vol. 102(C), pages 549-568.
    2. Prudence Dato, 2018. "Investment in Energy Efficiency, Adoption of Renewable Energy and Household Behavior: Evidence from OECD Countries," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3).
    3. 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.
    4. Nicholas R. Magliocca, 2020. "Agent-Based Modeling for Integrating Human Behavior into the Food–Energy–Water Nexus," Land, MDPI, vol. 9(12), pages 1-25, December.
    5. Tattini, Jacopo & Ramea, Kalai & Gargiulo, Maurizio & Yang, Christopher & Mulholland, Eamonn & Yeh, Sonia & Karlsson, Kenneth, 2018. "Improving the representation of modal choice into bottom-up optimization energy system models – The MoCho-TIMES model," Applied Energy, Elsevier, vol. 212(C), pages 265-282.
    6. Stephan Schwarzinger & David Neil Bird & Tomas Moe Skjølsvold, 2019. "Identifying Consumer Lifestyles through Their Energy Impacts: Transforming Social Science Data into Policy-Relevant Group-Level Knowledge," Sustainability, MDPI, vol. 11(21), pages 1-22, November.
    7. Tversky, Amos & Kahneman, Daniel, 1992. "Advances in Prospect Theory: Cumulative Representation of Uncertainty," Journal of Risk and Uncertainty, Springer, vol. 5(4), pages 297-323, October.
    8. Esther-Mirjam Sent, 2018. "Rationality and bounded rationality: you can’t have one without the other," The European Journal of the History of Economic Thought, Taylor & Francis Journals, vol. 25(6), pages 1370-1386, November.
    9. Fattahi, A. & Sijm, J. & Faaij, A., 2020. "A systemic approach to analyze integrated energy system modeling tools: A review of national models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 133(C).
    10. Lucas W. Davis, 2011. "Evaluating the Slow Adoption of Energy Efficient Investments: Are Renters Less Likely to Have Energy Efficient Appliances?," NBER Chapters, in: The Design and Implementation of US Climate Policy, pages 301-316, National Bureau of Economic Research, Inc.
    11. Ramea, Kalai & Bunch, David S. & Yang, Christopher & Yeh, Sonia & Ogden, Joan M., 2018. "Integration of behavioral effects from vehicle choice models into long-term energy systems optimization models," Energy Economics, Elsevier, vol. 74(C), pages 663-676.
    12. Vivek Kumar Singh & Prashasti Singh & Mousumi Karmakar & Jacqueline Leta & Philipp Mayr, 2021. "The journal coverage of Web of Science, Scopus and Dimensions: A comparative analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(6), pages 5113-5142, June.
    13. Strachan, Neil & Kannan, Ramachandran, 2008. "Hybrid modelling of long-term carbon reduction scenarios for the UK," Energy Economics, Elsevier, vol. 30(6), pages 2947-2963, November.
    14. Yannick Oswald & Anne Owen & Julia K. Steinberger, 2020. "Publisher Correction: Large inequality in international and intranational energy footprints between income groups and across consumption categories," Nature Energy, Nature, vol. 5(4), pages 349-349, April.
    15. Lopes, M.A.R. & Antunes, C.H. & Martins, N., 2012. "Energy behaviours as promoters of energy efficiency: A 21st century review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(6), pages 4095-4104.
    16. Hannah Muelder & Tatiana Filatova, 2018. "One Theory - Many Formalizations: Testing Different Code Implementations of the Theory of Planned Behaviour in Energy Agent-Based Models," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 21(4), pages 1-5.
    17. A. Greening, Lorna & Greene, David L. & Difiglio, Carmen, 2000. "Energy efficiency and consumption -- the rebound effect -- a survey," Energy Policy, Elsevier, vol. 28(6-7), pages 389-401, June.
    18. Varun Rai & Adam Douglas Henry, 2016. "Agent-based modelling of consumer energy choices," Nature Climate Change, Nature, vol. 6(6), pages 556-562, June.
    19. DeCarolis, Joseph & Daly, Hannah & Dodds, Paul & Keppo, Ilkka & Li, Francis & McDowall, Will & Pye, Steve & Strachan, Neil & Trutnevyte, Evelina & Usher, Will & Winning, Matthew & Yeh, Sonia & Zeyring, 2017. "Formalizing best practice for energy system optimization modelling," Applied Energy, Elsevier, vol. 194(C), pages 184-198.
    20. De Cian, Enrica & Dasgupta, Shouro & Hof, Andries F. & van Sluisveld, Mariësse A.E. & Köhler, Jonathan & Pfluger, Benjamin & van Vuuren, Detlef P., 2020. "Actors, decision-making, and institutions in quantitative system modelling," Technological Forecasting and Social Change, Elsevier, vol. 151(C).
    21. Ardak Akhatova & Lukas Kranzl & Fabian Schipfer & Charitha Buddhika Heendeniya, 2022. "Agent-Based Modelling of Urban District Energy System Decarbonisation—A Systematic Literature Review," Energies, MDPI, vol. 15(2), pages 1-27, January.
    22. Wolff, Richard D. & Resnick, Stephen A., 2012. "Contending Economic Theories: Neoclassical, Keynesian, and Marxian," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262517833, December.
    23. Yannick Oswald & Anne Owen & Julia K. Steinberger, 2020. "Large inequality in international and intranational energy footprints between income groups and across consumption categories," Nature Energy, Nature, vol. 5(3), pages 231-239, March.
    24. van den Broek, Karlijn L. & Walker, Ian & Klöckner, Christian A., 2019. "Drivers of energy saving behaviour: The relative influence of intentional, normative, situational and habitual processes," Energy Policy, Elsevier, vol. 132(C), pages 811-819.
    25. Kimberly S. Wolske & Kenneth T. Gillingham & P. Wesley Schultz, 2020. "Peer influence on household energy behaviours," Nature Energy, Nature, vol. 5(3), pages 202-212, March.
    26. Mau, Paulus & Eyzaguirre, Jimena & Jaccard, Mark & Collins-Dodd, Colleen & Tiedemann, Kenneth, 2008. "The 'neighbor effect': Simulating dynamics in consumer preferences for new vehicle technologies," Ecological Economics, Elsevier, vol. 68(1-2), pages 504-516, December.
    27. Daly, Hannah E. & Ramea, Kalai & Chiodi, Alessandro & Yeh, Sonia & Gargiulo, Maurizio & Gallachóir, Brian Ó, 2014. "Incorporating travel behaviour and travel time into TIMES energy system models," Applied Energy, Elsevier, vol. 135(C), pages 429-439.
    28. Juana Castro & Stefan Drews & Filippos Exadaktylos & Joël Foramitti & Franziska Klein & Théo Konc & Ivan Savin & Jeroen van den Bergh, 2020. "A review of agent‐based modeling of climate‐energy policy," Wiley Interdisciplinary Reviews: Climate Change, John Wiley & Sons, vol. 11(4), July.
    29. David Huckebrink & Valentin Bertsch, 2021. "Integrating Behavioural Aspects in Energy System Modelling—A Review," Energies, MDPI, vol. 14(15), pages 1-26, July.
    30. Sovacool, Benjamin K. & Dworkin, Michael H., 2015. "Energy justice: Conceptual insights and practical applications," Applied Energy, Elsevier, vol. 142(C), pages 435-444.
    31. Salvucci, Raffaele & Tattini, Jacopo & Gargiulo, Maurizio & Lehtilä, Antti & Karlsson, Kenneth, 2018. "Modelling transport modal shift in TIMES models through elasticities of substitution," Applied Energy, Elsevier, vol. 232(C), pages 740-751.
    32. Stephenson, Janet & Barton, Barry & Carrington, Gerry & Gnoth, Daniel & Lawson, Rob & Thorsnes, Paul, 2010. "Energy cultures: A framework for understanding energy behaviours," Energy Policy, Elsevier, vol. 38(10), pages 6120-6129, October.
    33. Charreire, H. & Roda, C. & Feuillet, T. & Piombini, A. & Bardos, H. & Rutter, H. & Compernolle, S. & Mackenbach, J.D. & Lakerveld, J. & Oppert, J.M., 2021. "Walking, cycling, and public transport for commuting and non-commuting travels across 5 European urban regions: Modal choice correlates and motivations," Journal of Transport Geography, Elsevier, vol. 96(C).
    34. Theresa Liegl & Simon Schramm & Philipp Kuhn & Thomas Hamacher, 2023. "Considering Socio-Technical Parameters in Energy System Models—The Current Status and Next Steps," Energies, MDPI, vol. 16(20), pages 1-19, October.
    35. J. Doyne Farmer & Duncan Foley, 2009. "The economy needs agent-based modelling," Nature, Nature, vol. 460(7256), pages 685-686, August.
    36. Andrea Herbst & Felipe Andrés Toro & Felix Reitze & Eberhard Jochem, 2012. "Introduction to Energy Systems Modelling," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 148(II), pages 111-135, June.
    37. Neves, C. & Oliveira, T. & Santini, F., 2022. "Sustainable technologies adoption research: A weight and meta-analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 165(C).
    38. Sachs, Julia & Meng, Yiming & Giarola, Sara & Hawkes, Adam, 2019. "An agent-based model for energy investment decisions in the residential sector," Energy, Elsevier, vol. 172(C), pages 752-768.
    39. 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.
    40. Charlotte Senkpiel & Audrey Dobbins & Christina Kockel & Jan Steinbach & Ulrich Fahl & Farina Wille & Joachim Globisch & Sandra Wassermann & Bert Droste-Franke & Wolfgang Hauser & Claudia Hofer & Lars, 2020. "Integrating Methods and Empirical Findings from Social and Behavioural Sciences into Energy System Models—Motivation and Possible Approaches," Energies, MDPI, vol. 13(18), pages 1-30, September.
    41. Yang, Christopher & Yeh, Sonia & Zakerinia, Saleh & Ramea, Kalai & McCollum, David, 2015. "Achieving California's 80% greenhouse gas reduction target in 2050: Technology, policy and scenario analysis using CA-TIMES energy economic systems model," Energy Policy, Elsevier, vol. 77(C), pages 118-130.
    42. Pye, Steve & Daly, Hannah, 2015. "Modelling sustainable urban travel in a whole systems energy model," Applied Energy, Elsevier, vol. 159(C), pages 97-107.
    43. Brounen, Dirk & Kok, Nils & Quigley, John M., 2012. "Residential energy use and conservation: Economics and demographics," European Economic Review, Elsevier, vol. 56(5), pages 931-945.
    44. Krumm, Alexandra & Süsser, Diana & Blechinger, Philipp, 2022. "Modelling social aspects of the energy transition: What is the current representation of social factors in energy models?," Energy, Elsevier, vol. 239(PA).
    45. Bryan Bollinger & Kenneth Gillingham, 2012. "Peer Effects in the Diffusion of Solar Photovoltaic Panels," Marketing Science, INFORMS, vol. 31(6), pages 900-912, November.
    46. 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.
    47. Dimitropoulos, Alexandros & Oueslati, Walid & Sintek, Christina, 2018. "The rebound effect in road transport: A meta-analysis of empirical studies," Energy Economics, Elsevier, vol. 75(C), pages 163-179.
    48. Prudence Dato, 2018. "Investment in Energy Efficiency, Adoption of Renewable Energy and Household Behavior: Evidence from OECD Countries," The Energy Journal, , vol. 39(3), pages 213-244, May.
    49. ten Dam, Chris Djie & Kramer, Gert Jan & Ettema, Dick & Koning, Vinzenz, 2022. "Spatial and sociodemographic determinants of energy consumption for personal mobility in the Netherlands," Journal of Transport Geography, Elsevier, vol. 98(C).
    50. Qin, Yong & Xu, Zeshui & Wang, Xinxin & Škare, Marinko, 2022. "Green energy adoption and its determinants: A bibliometric analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 153(C).
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