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Sociodynamic modeling of small-scale PV adoption and insights on future expansion without feed-in tariffs

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  • Candas, Soner
  • Siala, Kais
  • Hamacher, Thomas

Abstract

Understanding complex phenomena such as energy transitions, which bear technical, economic and social dimensions, requires a multi-directional approach. Expansion of the solar energy in the energy mix of a country is similarly complex, as its decentralized nature brings about a necessity of public approval and trust besides its economics. We therefore develop a combined socio-economic model, which is based on the sociodynamics framework, for the household-level adoption of photovoltaics (PV). We apply the model to the cases of German and Italian PV expansion and make a retrospective analysis regarding their dynamics, in order to identify the importance of various factors such as the profitability and the public opinion throughout their expansion timeline. We then project our model for the German PV expansion onto the near future and investigate the requirement of feed-in tariffs to maintain the expansion targets under various scenarios. Results of our projection point at the importance of the self-consumption of PV electricity; an average self-consumption ratio higher than 25% makes a phase-out of feed-in tariffs by 2030 possible, whereas 50% self consumption renders the feed-in tariff regulation obsolete even in today's economic conditions.

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  • Candas, Soner & Siala, Kais & Hamacher, Thomas, 2019. "Sociodynamic modeling of small-scale PV adoption and insights on future expansion without feed-in tariffs," Energy Policy, Elsevier, vol. 125(C), pages 521-536.
    • Handle: RePEc:eee:enepol:v:125:y:2019:i:c:p:521-536
    DOI: 10.1016/j.enpol.2018.10.029
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    as
    1. Yamamoto, Yoshihiro, 2017. "Feed-in tariffs combined with capital subsidies for promoting the adoption of residential photovoltaic systems," Energy Policy, Elsevier, vol. 111(C), pages 312-320.
    2. Frank M. Bass, 1969. "A New Product Growth for Model Consumer Durables," Management Science, INFORMS, vol. 15(5), pages 215-227, January.
    3. Haag, G. & Weidlich, W., 1986. "A dynamic migration theory and its evaluation for concrete systems," Regional Science and Urban Economics, Elsevier, vol. 16(1), pages 57-80, February.
    4. Palmer, J. & Sorda, G. & Madlener, R., 2015. "Modeling the diffusion of residential photovoltaic systems in Italy: An agent-based simulation," Technological Forecasting and Social Change, Elsevier, vol. 99(C), pages 106-131.
    5. Antonelli, Marco & Desideri, Umberto, 2014. "The doping effect of Italian feed-in tariffs on the PV market," Energy Policy, Elsevier, vol. 67(C), pages 583-594.
    6. Karneyeva, Yuliya & Wüstenhagen, Rolf, 2017. "Solar feed-in tariffs in a post-grid parity world: The role of risk, investor diversity and business models," Energy Policy, Elsevier, vol. 106(C), pages 445-456.
    7. Azadeh, A. & Babazadeh, R. & Asadzadeh, S.M., 2013. "Optimum estimation and forecasting of renewable energy consumption by artificial neural networks," Renewable and Sustainable Energy Reviews, Elsevier, vol. 27(C), pages 605-612.
    8. Klein, Martin & Deissenroth, Marc, 2017. "When do households invest in solar photovoltaics? An application of prospect theory," Energy Policy, Elsevier, vol. 109(C), pages 270-278.
    9. Marcello Graziano & Kenneth Gillingham, 2015. "Spatial patterns of solar photovoltaic system adoption: The influence of neighbors and the built environment," Journal of Economic Geography, Oxford University Press, vol. 15(4), pages 815-839.
    10. Hawkins, Raymond J., 2011. "Lending sociodynamics and economic instability," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(23), pages 4355-4369.
    11. Marques, António C. & Fuinhas, José A. & Pires Manso, J.R., 2010. "Motivations driving renewable energy in European countries: A panel data approach," Energy Policy, Elsevier, vol. 38(11), pages 6877-6885, November.
    12. Rode, Johannes & Weber, Alexander, 2016. "Does localized imitation drive technology adoption? A case study on rooftop photovoltaic systems in Germany," Journal of Environmental Economics and Management, Elsevier, vol. 78(C), pages 38-48.
    13. Wolfgang Weidlich, 1997. "Sociodynamics applied to the evolution of urban and regional structures," Discrete Dynamics in Nature and Society, Hindawi, vol. 1, pages 1-14, January.
    14. Bauner, Christoph & Crago, Christine L., 2015. "Adoption of residential solar power under uncertainty: Implications for renewable energy incentives," Energy Policy, Elsevier, vol. 86(C), pages 27-35.
    15. Lee, Chul-Yong & Huh, Sung-Yoon, 2017. "Forecasting the diffusion of renewable electricity considering the impact of policy and oil prices: The case of South Korea," Applied Energy, Elsevier, vol. 197(C), pages 29-39.
    16. Renn, Ortwin & Marshall, Jonathan Paul, 2016. "Coal, nuclear and renewable energy policies in Germany: From the 1950s to the “Energiewende”," Energy Policy, Elsevier, vol. 99(C), pages 224-232.
    17. Seel, Joachim & Barbose, Galen L. & Wiser, Ryan H., 2014. "An analysis of residential PV system price differences between the United States and Germany," Energy Policy, Elsevier, vol. 69(C), pages 216-226.
    18. Bryan Bollinger & Kenneth Gillingham, 2012. "Peer Effects in the Diffusion of Solar Photovoltaic Panels," Marketing Science, INFORMS, vol. 31(6), pages 900-912, November.
    19. Sommerfeld, Jeff & Buys, Laurie & Vine, Desley, 2017. "Residential consumers’ experiences in the adoption and use of solar PV," Energy Policy, Elsevier, vol. 105(C), pages 10-16.
    20. Rode, Johannes & Weber, Alexander, 2016. "Does localized imitation drive technology adoption? A case study on rooftop photovoltaic systems in Germany," Journal of Environmental Economics and Management, Elsevier, vol. 78(C), pages 38-48.
    21. Ossenbrink, Jan, 2017. "How feed-in remuneration design shapes residential PV prosumer paradigms," Energy Policy, Elsevier, vol. 108(C), pages 239-255.
    22. Bale, Catherine S.E. & McCullen, Nicholas J. & Foxon, Timothy J. & Rucklidge, Alastair M. & Gale, William F., 2013. "Harnessing social networks for promoting adoption of energy technologies in the domestic sector," Energy Policy, Elsevier, vol. 63(C), pages 833-844.
    23. Korcaj, Liridon & Hahnel, Ulf J.J. & Spada, Hans, 2015. "Intentions to adopt photovoltaic systems depend on homeowners' expected personal gains and behavior of peers," Renewable Energy, Elsevier, vol. 75(C), pages 407-415.
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