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Integrating Behavioural Aspects in Energy System Modelling—A Review

Author

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  • David Huckebrink

    (Energy Systems and Energy Economics, Ruhr-University Bochum, 44801 Bochum, Germany
    These authors contributed equally to this work.)

  • Valentin Bertsch

    (Energy Systems and Energy Economics, Ruhr-University Bochum, 44801 Bochum, Germany
    These authors contributed equally to this work.)

Abstract

Many countries worldwide have adopted policies to support the expansion of renewable energy sources aimed at reducing greenhouse gas emissions, combating climate change, and, more generally, establishing a globally sustainable energy system. As a result, energy systems around the world are undergoing a process of fundamental change and transformation that goes far beyond the technological dimension. While energy system models have been developed and used for several decades to support decision makers in governments and companies, these models usually focus on the techno-economic dimension, whereas they fall short in addressing and considering behavioural and societal aspects of decisions related to technology acceptance, adoption, and use. In fact, it is often the societal dimension that comes with the greatest challenges and barriers when it comes to making such a socio-technical transformation happen in reality. This paper therefore provides an overview of state-of-the-art energy system models on the one hand and research studying behavioural aspects in the energy sector on the other hand. We find that these are two well-developed fields of research but that they have not yet been integrated sufficiently well to provide answers to the many questions arising in the context of complex socio-technical transformation processes of energy systems. While some promising approaches integrating these two fields can be identified, the total number is very limited. Based on our findings, research gaps and potentials for improvement of both energy system models and behavioural studies are derived. We conclude that a stronger collaboration across disciplines is required.

Suggested Citation

  • David Huckebrink & Valentin Bertsch, 2021. "Integrating Behavioural Aspects in Energy System Modelling—A Review," Energies, MDPI, vol. 14(15), pages 1-26, July.
  • Handle: RePEc:gam:jeners:v:14:y:2021:i:15:p:4579-:d:603601
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    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. Cuesta, M.A. & Castillo-Calzadilla, T. & Borges, C.E., 2020. "A critical analysis on hybrid renewable energy modeling tools: An emerging opportunity to include social indicators to optimise systems in small communities," Renewable and Sustainable Energy Reviews, Elsevier, vol. 122(C).
    3. Molnarova, Kristina & Sklenicka, Petr & Stiborek, Jiri & Svobodova, Kamila & Salek, Miroslav & Brabec, Elizabeth, 2012. "Visual preferences for wind turbines: Location, numbers and respondent characteristics," Applied Energy, Elsevier, vol. 92(C), pages 269-278.
    4. Bertsch, Valentin & Hall, Margeret & Weinhardt, Christof & Fichtner, Wolf, 2016. "Public acceptance and preferences related to renewable energy and grid expansion policy: Empirical insights for Germany," Energy, Elsevier, vol. 114(C), pages 465-477.
    5. Jason Harold, Valentin Bertsch, Thomas Lawrence, and Magie Hall, 2021. "Drivers of People's Preferences for Spatial Proximity to Energy Infrastructure Technologies: A Cross-country Analysis," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4).
    6. Wang, Jiang-Jiang & Jing, You-Yin & Zhang, Chun-Fa & Zhao, Jun-Hong, 2009. "Review on multi-criteria decision analysis aid in sustainable energy decision-making," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(9), pages 2263-2278, December.
    7. Caporale, Diana & Sangiorgio, Valentino & Amodio, Alessandro & De Lucia, Caterina, 2020. "Multi-criteria and focus group analysis for social acceptance of wind energy," Energy Policy, Elsevier, vol. 140(C).
    8. Yamamoto, Yoshihiro, 2015. "Opinion leadership and willingness to pay for residential photovoltaic systems," Energy Policy, Elsevier, vol. 83(C), pages 185-192.
    9. Hall, Lisa M.H. & Buckley, Alastair R., 2016. "A review of energy systems models in the UK: Prevalent usage and categorisation," Applied Energy, Elsevier, vol. 169(C), pages 607-628.
    10. Tsoutsos, Theocharis & Tsouchlaraki, Androniki & Tsiropoulos, Manolis & Serpetsidakis, Michalis, 2009. "Visual impact evaluation of a wind park in a Greek island," Applied Energy, Elsevier, vol. 86(4), pages 546-553, April.
    11. Wustenhagen, Rolf & Wolsink, Maarten & Burer, Mary Jean, 2007. "Social acceptance of renewable energy innovation: An introduction to the concept," Energy Policy, Elsevier, vol. 35(5), pages 2683-2691, May.
    12. Bohringer, Christoph & Loschel, Andreas, 2006. "Computable general equilibrium models for sustainability impact assessment: Status quo and prospects," Ecological Economics, Elsevier, vol. 60(1), pages 49-64, November.
    13. Frank M. Bass, 1969. "A New Product Growth for Model Consumer Durables," Management Science, INFORMS, vol. 15(5), pages 215-227, January.
    14. Belaïd, Fateh & Joumni, Haitham, 2020. "Behavioral attitudes towards energy saving: Empirical evidence from France," Energy Policy, Elsevier, vol. 140(C).
    15. Blanco, Herib & Nijs, Wouter & Ruf, Johannes & Faaij, André, 2018. "Potential for hydrogen and Power-to-Liquid in a low-carbon EU energy system using cost optimization," Applied Energy, Elsevier, vol. 232(C), pages 617-639.
    16. Charles Warren & Carolyn Lumsden & Simone O'Dowd & Richard Birnie, 2005. "'Green On Green': Public perceptions of wind power in Scotland and Ireland," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 48(6), pages 853-875.
    17. Heiskanen, Eva & Matschoss, Kaisa, 2017. "Understanding the uneven diffusion of building-scale renewable energy systems: A review of household, local and country level factors in diverse European countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 580-591.
    18. Koecklin, Manuel Tong & Longoria, Genaro & Fitiwi, Desta Z. & DeCarolis, Joseph F. & Curtis, John, 2021. "Public acceptance of renewable electricity generation and transmission network developments: Insights from Ireland," Energy Policy, Elsevier, vol. 151(C).
    19. 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.
    20. Devine, Mel T. & Bertsch, Valentin, 2018. "Examining the benefits of load shedding strategies using a rolling-horizon stochastic mixed complementarity equilibrium model," European Journal of Operational Research, Elsevier, vol. 267(2), pages 643-658.
    21. Curtis, John & McCoy, Daire & Aravena, Claudia, 2018. "Heating system upgrades: The role of knowledge, socio-demographics, building attributes and energy infrastructure," Energy Policy, Elsevier, vol. 120(C), pages 183-196.
    22. Anvari-Moghaddam, Amjad & Rahimi-Kian, Ashkan & Mirian, Maryam S. & Guerrero, Josep M., 2017. "A multi-agent based energy management solution for integrated buildings and microgrid system," Applied Energy, Elsevier, vol. 203(C), pages 41-56.
    23. Keirstead, James & Jennings, Mark & Sivakumar, Aruna, 2012. "A review of urban energy system models: Approaches, challenges and opportunities," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(6), pages 3847-3866.
    24. Frondel, Manuel, 2004. "Empirical assessment of energy-price policies: the case for cross-price elasticities," Energy Policy, Elsevier, vol. 32(8), pages 989-1000, June.
    25. Brazil, William & Harold, Jason & Curtis, John, 2019. "The role of socio-economic characteristics in predicting peak period appliance use," Papers WP628, Economic and Social Research Institute (ESRI).
    26. Aitken, Mhairi, 2010. "Why we still don't understand the social aspects of wind power: A critique of key assumptions within the literature," Energy Policy, Elsevier, vol. 38(4), pages 1834-1841, April.
    27. Di Silvestre, Maria Luisa & Favuzza, Salvatore & Riva Sanseverino, Eleonora & Zizzo, Gaetano, 2018. "How Decarbonization, Digitalization and Decentralization are changing key power infrastructures," Renewable and Sustainable Energy Reviews, Elsevier, vol. 93(C), pages 483-498.
    28. 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.
    29. Bertsch, Valentin & Hyland, Marie & Mahony, Michael, 2017. "What drives people's opinions of electricity infrastructure? Empirical evidence from Ireland," Energy Policy, Elsevier, vol. 106(C), pages 472-497.
    30. Siavash Khalili & Eetu Rantanen & Dmitrii Bogdanov & Christian Breyer, 2019. "Global Transportation Demand Development with Impacts on the Energy Demand and Greenhouse Gas Emissions in a Climate-Constrained World," Energies, MDPI, vol. 12(20), pages 1-54, October.
    31. Connolly, D. & Lund, H. & Mathiesen, B.V. & Leahy, M., 2010. "A review of computer tools for analysing the integration of renewable energy into various energy systems," Applied Energy, Elsevier, vol. 87(4), pages 1059-1082, April.
    32. Blanco, Herib & Nijs, Wouter & Ruf, Johannes & Faaij, André, 2018. "Potential of Power-to-Methane in the EU energy transition to a low carbon system using cost optimization," Applied Energy, Elsevier, vol. 232(C), pages 323-340.
    33. Le Gallic, Thomas & Assoumou, Edi & Maïzi, Nadia, 2017. "Future demand for energy services through a quantitative approach of lifestyles," Energy, Elsevier, vol. 141(C), pages 2613-2627.
    34. Broberg, Thomas & Persson, Lars, 2016. "Is our everyday comfort for sale? Preferences for demand management on the electricity market," Energy Economics, Elsevier, vol. 54(C), pages 24-32.
    35. Fred D. Davis & Richard P. Bagozzi & Paul R. Warshaw, 1989. "User Acceptance of Computer Technology: A Comparison of Two Theoretical Models," Management Science, INFORMS, vol. 35(8), pages 982-1003, August.
    36. Wadud, Zia & MacKenzie, Don & Leiby, Paul, 2016. "Help or hindrance? The travel, energy and carbon impacts of highly automated vehicles," Transportation Research Part A: Policy and Practice, Elsevier, vol. 86(C), pages 1-18.
    37. Emmerich, Philip & Hülemeier, Anna-Gesina & Jendryczko, David & Baumann, Manuel Johann & Weil, Marcel & Baur, Dorothee, 2020. "Public acceptance of emerging energy technologies in context of the German energy transition," Energy Policy, Elsevier, vol. 142(C).
    38. Ciupuliga, A.R. & Cuppen, E., 2013. "The role of dialogue in fostering acceptance of transmission lines: the case of a France–Spain interconnection project," Energy Policy, Elsevier, vol. 60(C), pages 224-233.
    39. Mueller, Christoph Emanuel & Keil, Silke Inga & Bauer, Christian, 2017. "Effects of spatial proximity to proposed high-voltage transmission lines: Evidence from a natural experiment in Lower Saxony," Energy Policy, Elsevier, vol. 111(C), pages 137-147.
    40. Harold, Jason & Bertsch, Valentin & Fell, Harrison, 2021. "Preferences for curtailable electricity contracts: Can curtailment benefit consumers and the electricity system?," Energy Economics, Elsevier, vol. 102(C).
    41. McKenna, R. & Bertsch, V. & Mainzer, K. & Fichtner, W., 2018. "Combining local preferences with multi-criteria decision analysis and linear optimization to develop feasible energy concepts in small communities," European Journal of Operational Research, Elsevier, vol. 268(3), pages 1092-1110.
    42. Richard Loulou & Maryse Labriet, 2008. "ETSAP-TIAM: the TIMES integrated assessment model Part I: Model structure," Computational Management Science, Springer, vol. 5(1), pages 7-40, February.
    43. Mavromatidis, Georgios & Orehounig, Kristina & Carmeliet, Jan, 2018. "Uncertainty and global sensitivity analysis for the optimal design of distributed energy systems," Applied Energy, Elsevier, vol. 214(C), pages 219-238.
    44. Sütterlin, Bernadette & Brunner, Thomas A. & Siegrist, Michael, 2011. "Who puts the most energy into energy conservation? A segmentation of energy consumers based on energy-related behavioral characteristics," Energy Policy, Elsevier, vol. 39(12), pages 8137-8152.
    45. Bidwell, David, 2013. "The role of values in public beliefs and attitudes towards commercial wind energy," Energy Policy, Elsevier, vol. 58(C), pages 189-199.
    46. Wolsink, Maarten, 2000. "Wind power and the NIMBY-myth: institutional capacity and the limited significance of public support," Renewable Energy, Elsevier, vol. 21(1), pages 49-64.
    47. Engelken, Maximilian & Römer, Benedikt & Drescher, Marcus & Welpe, Isabell, 2016. "Transforming the energy system: Why municipalities strive for energy self-sufficiency," Energy Policy, Elsevier, vol. 98(C), pages 365-377.
    48. Balcombe, Paul & Rigby, Dan & Azapagic, Adisa, 2015. "Environmental impacts of microgeneration: Integrating solar PV, Stirling engine CHP and battery storage," Applied Energy, Elsevier, vol. 139(C), pages 245-259.
    49. Colla, Martin & Ioannou, Anastasia & Falcone, Gioia, 2020. "Critical review of competitiveness indicators for energy projects," Renewable and Sustainable Energy Reviews, Elsevier, vol. 125(C).
    50. Mavromatidis, Georgios & Orehounig, Kristina & Carmeliet, Jan, 2018. "A review of uncertainty characterisation approaches for the optimal design of distributed energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 88(C), pages 258-277.
    51. Kowalska-Pyzalska, Anna & Maciejowska, Katarzyna & Suszczyński, Karol & Sznajd-Weron, Katarzyna & Weron, Rafał, 2014. "Turning green: Agent-based modeling of the adoption of dynamic electricity tariffs," Energy Policy, Elsevier, vol. 72(C), pages 164-174.
    52. Schleich, Joachim & Faure, Corinne & Meissner, Thomas, 2021. "Adoption of retrofit measures among homeowners in EU countries: The effects of access to capital and debt aversion," Energy Policy, Elsevier, vol. 149(C).
    53. Kumar Shalender & Naman Sharma, 2021. "Using extended theory of planned behaviour (TPB) to predict adoption intention of electric vehicles in India," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(1), pages 665-681, January.
    54. Steven A. Gabriel & Andy S. Kydes & Peter Whitman, 2001. "The National Energy Modeling System: A Large-Scale Energy-Economic Equilibrium Model," Operations Research, INFORMS, vol. 49(1), pages 14-25, February.
    55. Steffen, Bjarne, 2018. "The importance of project finance for renewable energy projects," Energy Economics, Elsevier, vol. 69(C), pages 280-294.
    56. Kleijnen, Mirella & Lee, Nick & Wetzels, Martin, 2009. "An exploration of consumer resistance to innovation and its antecedents," Journal of Economic Psychology, Elsevier, vol. 30(3), pages 344-357, June.
    57. 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.
    58. Ringkjøb, Hans-Kristian & Haugan, Peter M. & Solbrekke, Ida Marie, 2018. "A review of modelling tools for energy and electricity systems with large shares of variable renewables," Renewable and Sustainable Energy Reviews, Elsevier, vol. 96(C), pages 440-459.
    59. Lopion, Peter & Markewitz, Peter & Robinius, Martin & Stolten, Detlef, 2018. "A review of current challenges and trends in energy systems modeling," Renewable and Sustainable Energy Reviews, Elsevier, vol. 96(C), pages 156-166.
    60. Jed Cohen, Klaus Moeltner, Johannes Reichl and Michael Schmidthaler, 2016. "An Empirical Analysis of Local Opposition to New Transmission Lines Across the EU-27," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3).
    61. Fitiwi, Desta Z. & Lynch, Muireann & Bertsch, Valentin, 2020. "Power system impacts of community acceptance policies for renewable energy deployment under storage cost uncertainty," Renewable Energy, Elsevier, vol. 156(C), pages 893-912.
    62. Brennan, Noreen & Van Rensburg, Thomas M, 2016. "Wind farm externalities and public preferences for community consultation in Ireland: A discrete choice experiments approach," Energy Policy, Elsevier, vol. 94(C), pages 355-365.
    63. Leahy, Eimear & Tol, Richard S.J., 2011. "An estimate of the value of lost load for Ireland," Energy Policy, Elsevier, vol. 39(3), pages 1514-1520, March.
    64. Upham, Paul & Shackley, Simon, 2006. "The case of a proposed 21.5 MWe biomass gasifier in Winkleigh, Devon: Implications for governance of renewable energy planning," Energy Policy, Elsevier, vol. 34(15), pages 2161-2172, October.
    65. Bertsch, Valentin & Geldermann, Jutta & Lühn, Tobias, 2017. "What drives the profitability of household PV investments, self-consumption and self-sufficiency?," Applied Energy, Elsevier, vol. 204(C), pages 1-15.
    66. Bailey, Joseph & Axsen, Jonn, 2015. "Anticipating PEV buyers’ acceptance of utility controlled charging," Transportation Research Part A: Policy and Practice, Elsevier, vol. 82(C), pages 29-46.
    67. Valeria Di Cosmo, Sean Lyons, and Anne Nolan, 2014. "Estimating the Impact of Time-of-Use Pricing on Irish Electricity Demand," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2).
    68. 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.
    69. Fabian Scheller & Isabel Doser & Daniel Sloot & Russell McKenna & Thomas Bruckner, 2020. "Exploring the Role of Stakeholder Dynamics in Residential Photovoltaic Adoption Decisions: A Synthesis of the Literature," Energies, MDPI, vol. 13(23), pages 1-31, November.
    70. 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.
    71. Ensslen, Axel & Ringler, Philipp & Dörr, Lasse & Jochem, Patrick & Zimmermann, Florian & Fichtner, Wolf, 2018. "Incentivizing smart charging: Modeling charging tariffs for electric vehicles in German and French electricity markets," MPRA Paper 91543, University Library of Munich, Germany, revised 17 Feb 2018.
    72. Bieber, Niclas & Ker, Jen Ho & Wang, Xiaonan & Triantafyllidis, Charalampos & van Dam, Koen H. & Koppelaar, Rembrandt H.E.M. & Shah, Nilay, 2018. "Sustainable planning of the energy-water-food nexus using decision making tools," Energy Policy, Elsevier, vol. 113(C), pages 584-607.
    73. Seyedfarzad Sarfarazi & Marc Deissenroth-Uhrig & Valentin Bertsch, 2020. "Aggregation of Households in Community Energy Systems: An Analysis from Actors’ and Market Perspectives," Energies, MDPI, vol. 13(19), pages 1-37, October.
    74. Pye, Steve & Daly, Hannah, 2015. "Modelling sustainable urban travel in a whole systems energy model," Applied Energy, Elsevier, vol. 159(C), pages 97-107.
    75. Ghatikar, Girish & Mashayekh, Salman & Stadler, Michael & Yin, Rongxin & Liu, Zhenhua, 2016. "Distributed energy systems integration and demand optimization for autonomous operations and electric grid transactions," Applied Energy, Elsevier, vol. 167(C), pages 432-448.
    76. Gabrielli, Paolo & Fürer, Florian & Mavromatidis, Georgios & Mazzotti, Marco, 2019. "Robust and optimal design of multi-energy systems with seasonal storage through uncertainty analysis," Applied Energy, Elsevier, vol. 238(C), pages 1192-1210.
    77. Good, Nicholas & Zhang, Lingxi & Navarro-Espinosa, Alejandro & Mancarella, Pierluigi, 2015. "High resolution modelling of multi-energy domestic demand profiles," Applied Energy, Elsevier, vol. 137(C), pages 193-210.
    78. Betakova, Vendula & Vojar, Jiri & Sklenicka, Petr, 2015. "Wind turbines location: How many and how far?," Applied Energy, Elsevier, vol. 151(C), pages 23-31.
    79. Ladenburg, Jacob & Dahlgaard, Jens-Olav, 2012. "Attitudes, threshold levels and cumulative effects of the daily wind-turbine encounters," Applied Energy, Elsevier, vol. 98(C), pages 40-46.
    80. Patrick Devine-Wright, 2019. "Community versus local energy in a context of climate emergency," Nature Energy, Nature, vol. 4(11), pages 894-896, November.
    81. Schweizer-Ries, Petra, 2008. "Energy sustainable communities: Environmental psychological investigations," Energy Policy, Elsevier, vol. 36(11), pages 4126-4135, November.
    82. Balcombe, Paul & Rigby, Dan & Azapagic, Adisa, 2013. "Motivations and barriers associated with adopting microgeneration energy technologies in the UK," Renewable and Sustainable Energy Reviews, Elsevier, vol. 22(C), pages 655-666.
    83. Schumacher, K. & Krones, F. & McKenna, R. & Schultmann, F., 2019. "Public acceptance of renewable energies and energy autonomy: A comparative study in the French, German and Swiss Upper Rhine region," Energy Policy, Elsevier, vol. 126(C), pages 315-332.
    84. Jones, Christopher R. & Richard Eiser, J., 2010. "Understanding 'local' opposition to wind development in the UK: How big is a backyard?," Energy Policy, Elsevier, vol. 38(6), pages 3106-3117, June.
    85. Kühl, N. & Goutier, Marc & Ensslen, A. & Jochem, P., 2019. "Literature vs. Twitter: Empirical insights on customer needs in e-mobility," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 130121, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    86. Richard Loulou, 2008. "ETSAP-TIAM: the TIMES integrated assessment model. part II: mathematical formulation," Computational Management Science, Springer, vol. 5(1), pages 41-66, February.
    87. Li, Yinan & Yang, Wentao & He, Ping & Chen, Chang & Wang, Xiaonan, 2019. "Design and management of a distributed hybrid energy system through smart contract and blockchain," Applied Energy, Elsevier, vol. 248(C), pages 390-405.
    88. Müller, Matthias Otto & Stämpfli, Adrian & Dold, Ursula & Hammer, Thomas, 2011. "Energy autarky: A conceptual framework for sustainable regional development," Energy Policy, Elsevier, vol. 39(10), pages 5800-5810, October.
    89. Claudia Aravena & Andrés Riquelme & Eleanor Denny, 2016. "Money, Comfort or Environment? Priorities and Determinants of Energy Efficiency Investments in Irish Households," Journal of Consumer Policy, Springer, vol. 39(2), pages 159-186, June.
    90. Frondel, Manuel, 2011. "Modelling energy and non-energy substitution: A brief survey of elasticities," Energy Policy, Elsevier, vol. 39(8), pages 4601-4604, August.
    91. Hahnel, Ulf J.J. & Herberz, Mario & Pena-Bello, Alejandro & Parra, David & Brosch, Tobias, 2020. "Becoming prosumer: Revealing trading preferences and decision-making strategies in peer-to-peer energy communities," Energy Policy, Elsevier, vol. 137(C).
    92. Schweizer, Pia-Johanna & Bovet, Jana, 2016. "The potential of public participation to facilitate infrastructure decision-making: Lessons from the German and European legal planning system for electricity grid expansion," Utilities Policy, Elsevier, vol. 42(C), pages 64-73.
    93. Bai, Linquan & Li, Fangxing & Cui, Hantao & Jiang, Tao & Sun, Hongbin & Zhu, Jinxiang, 2016. "Interval optimization based operating strategy for gas-electricity integrated energy systems considering demand response and wind uncertainty," Applied Energy, Elsevier, vol. 167(C), pages 270-279.
    94. Aaen, Sara Bjørn & Kerndrup, Søren & Lyhne, Ivar, 2016. "Beyond public acceptance of energy infrastructure: How citizens make sense and form reactions by enacting networks of entities in infrastructure development," Energy Policy, Elsevier, vol. 96(C), pages 576-586.
    95. Nolan, Sheila & O’Malley, Mark, 2015. "Challenges and barriers to demand response deployment and evaluation," Applied Energy, Elsevier, vol. 152(C), pages 1-10.
    96. Noreen Brennan & Thomas M Van Rensburg & Cyril Morris, 2017. "Public acceptance of large-scale wind energy generation for export from Ireland to the UK: evidence from Ireland," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 60(11), pages 1967-1992, November.
    97. Liebe, Ulf & Bartczak, Anna & Meyerhoff, Jürgen, 2017. "A turbine is not only a turbine: The role of social context and fairness characteristics for the local acceptance of wind power," Energy Policy, Elsevier, vol. 107(C), pages 300-308.
    98. Praktiknjo, Aaron J., 2014. "Stated preferences based estimation of power interruption costs in private households: An example from Germany," Energy, Elsevier, vol. 76(C), pages 82-90.
    99. Mavromatidis, Georgios & Orehounig, Kristina & Carmeliet, Jan, 2018. "Design of distributed energy systems under uncertainty: A two-stage stochastic programming approach," Applied Energy, Elsevier, vol. 222(C), pages 932-950.
    100. Foxon, Timothy J., 2011. "A coevolutionary framework for analysing a transition to a sustainable low carbon economy," Ecological Economics, Elsevier, vol. 70(12), pages 2258-2267.
    101. Bolwig, Simon & Bazbauers, Gatis & Klitkou, Antje & Lund, Peter D. & Blumberga, Andra & Gravelsins, Armands & Blumberga, Dagnija, 2019. "Review of modelling energy transitions pathways with application to energy system flexibility," Renewable and Sustainable Energy Reviews, Elsevier, vol. 101(C), pages 440-452.
    102. מחקר - ביטוח לאומי, 2006. "Summary for 2005," Working Papers 29, National Insurance Institute of Israel.
    103. Niina Helistö & Juha Kiviluoma & Hannele Holttinen & Jose Daniel Lara & Bri‐Mathias Hodge, 2019. "Including operational aspects in the planning of power systems with large amounts of variable generation: A review of modeling approaches," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 8(5), September.
    104. Bale, Catherine S.E. & Varga, Liz & Foxon, Timothy J., 2015. "Energy and complexity: New ways forward," Applied Energy, Elsevier, vol. 138(C), pages 150-159.
    105. Guo, Yue & Ru, Peng & Su, Jun & Anadon, Laura Diaz, 2015. "Not in my backyard, but not far away from me: Local acceptance of wind power in China," Energy, Elsevier, vol. 82(C), pages 722-733.
    106. Willis, Ken & Scarpa, Riccardo & Gilroy, Rose & Hamza, Neveen, 2011. "Renewable energy adoption in an ageing population: Heterogeneity in preferences for micro-generation technology adoption," Energy Policy, Elsevier, vol. 39(10), pages 6021-6029, October.
    107. Lawrence Phillips & Carlos Bana e Costa, 2007. "Transparent prioritisation, budgeting and resource allocation with multi-criteria decision analysis and decision conferencing," Annals of Operations Research, Springer, vol. 154(1), pages 51-68, October.
    108. Ahmad Faruqui & Sanem Sergici, 2010. "Household response to dynamic pricing of electricity: a survey of 15 experiments," Journal of Regulatory Economics, Springer, vol. 38(2), pages 193-225, October.
    109. van Rensburg, Thomas M. & Kelley, Hugh & Jeserich, Nadine, 2015. "What influences the probability of wind farm planning approval: Evidence from Ireland," Ecological Economics, Elsevier, vol. 111(C), pages 12-22.
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