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Influence of distribution tariff structures and peer effects on the adoption of distributed energy resources

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  • Moncada, J.A.
  • Tao, Z.
  • Valkering, P.
  • Meinke-Hubeny, F.
  • Delarue, E.

Abstract

The emergence of prosumers calls for a revision of distribution network tariff design to ensure efficient network utilization and optimal customer response. This article aims to investigate the influence of different distribution tariff structures and peer effects on both residential consumers’ distributed energy resources adoption and the allocation of electricity distribution costs. We developed an agent-based model to analyze the interaction between distribution tariffs and the adoption of distributed energy resources. The model takes into account the influence of both economic (e.g., payback period and income level) and non-economic (e.g., peer effects) factors on technology adoption. The model endogenously considers the interplay between the technology adoption and the evolution of distribution tariffs and takes into account the interaction among consumers by incorporating peer effects. We found that under our test case assumptions, the presence of non-economic factors in the decision making, such as peer effects, is the rate-limiting step of the adoption process in the short-term. Hence, creating mechanisms that encourage interpersonal communication among residential consumers may help more risk-averse consumers redefine their attitudes about the benefits and costs of adopting distributed energy resources. We also found that a utility death spiral is more likely to occur with an annual net-volumetric distribution tariff. The increase in distribution cost was ten percentage points higher than that obtained with an annual maximum offtake capacity tariff. Given the complexities of an electricity system where the consumer is at the center, we recommend that regulators and distribution system operators adopt a whole system approach to managing the electricity system.

Suggested Citation

  • Moncada, J.A. & Tao, Z. & Valkering, P. & Meinke-Hubeny, F. & Delarue, E., 2021. "Influence of distribution tariff structures and peer effects on the adoption of distributed energy resources," Applied Energy, Elsevier, vol. 298(C).
    • Handle: RePEc:eee:appene:v:298:y:2021:i:c:s0306261921005377
    DOI: 10.1016/j.apenergy.2021.117086
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    as
    1. 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.
    2. Robinson, Scott A. & Rai, Varun, 2015. "Determinants of spatio-temporal patterns of energy technology adoption: An agent-based modeling approach," Applied Energy, Elsevier, vol. 151(C), pages 273-284.
    3. Pearce, Phoebe & Slade, Raphael, 2018. "Feed-in tariffs for solar microgeneration: Policy evaluation and capacity projections using a realistic agent-based model," Energy Policy, Elsevier, vol. 116(C), pages 95-111.
    4. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    5. Darghouth, Naïm R. & Barbose, Galen & Wiser, Ryan H., 2014. "Customer-economics of residential photovoltaic systems (Part 1): The impact of high renewable energy penetrations on electricity bill savings with net metering," Energy Policy, Elsevier, vol. 67(C), pages 290-300.
    6. 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.
    7. Sven Müller & Johannes Rode, 2013. "The adoption of photovoltaic systems in Wiesbaden, Germany," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 22(5), pages 519-535, July.
    8. Olivier De Groote & Frank Verboven, 2019. "Subsidies and Time Discounting in New Technology Adoption: Evidence from Solar Photovoltaic Systems," American Economic Review, American Economic Association, vol. 109(6), pages 2137-2172, June.
    9. Daniel Kahneman & Amos Tversky, 2013. "Prospect Theory: An Analysis of Decision Under Risk," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 6, pages 99-127, World Scientific Publishing Co. Pte. Ltd..
    10. Laws, Nicholas D. & Epps, Brenden P. & Peterson, Steven O. & Laser, Mark S. & Wanjiru, G. Kamau, 2017. "On the utility death spiral and the impact of utility rate structures on the adoption of residential solar photovoltaics and energy storage," Applied Energy, Elsevier, vol. 185(P1), pages 627-641.
    11. Eid, Cherrelle & Reneses Guillén, Javier & Frías Marín, Pablo & Hakvoort, Rudi, 2014. "The economic effect of electricity net-metering with solar PV: Consequences for network cost recovery, cross subsidies and policy objectives," Energy Policy, Elsevier, vol. 75(C), pages 244-254.
    12. Axel Gautier & Julien Jacqmin, 2020. "PV adoption: the role of distribution tariffs under net metering," Journal of Regulatory Economics, Springer, vol. 57(1), pages 53-73, February.
    13. 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.
    14. Darghouth, Naïm R. & Wiser, Ryan H. & Barbose, Galen & Mills, Andrew D., 2016. "Net metering and market feedback loops: Exploring the impact of retail rate design on distributed PV deployment," Applied Energy, Elsevier, vol. 162(C), pages 713-722.
    15. De Groote, Olivier & Pepermans, Guido & Verboven, Frank, 2016. "Heterogeneity in the adoption of photovoltaic systems in Flanders," Energy Economics, Elsevier, vol. 59(C), pages 45-57.
    16. 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.
    17. Stavrakas, Vassilis & Papadelis, Sotiris & Flamos, Alexandros, 2019. "An agent-based model to simulate technology adoption quantifying behavioural uncertainty of consumers," Applied Energy, Elsevier, vol. 255(C).
    18. Severin Borenstein, 2017. "Private Net Benefits of Residential Solar PV: The Role of Electricity Tariffs, Tax Incentives, and Rebates," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 4(S1), pages 85-122.
    19. Yael Parag & Benjamin K. Sovacool, 2016. "Electricity market design for the prosumer era," Nature Energy, Nature, vol. 1(4), pages 1-6, April.
    20. Govaerts, Niels & Bruninx, Kenneth & Le Cadre, Hélène & Meeus, Leonardo & Delarue, Erik, 2019. "Spillover effects of distribution grid tariffs in the internal electricity market: An argument for harmonization?," Energy Economics, Elsevier, vol. 84(C).
    21. Lai, Chun Sing & Jia, Youwei & Lai, Loi Lei & Xu, Zhao & McCulloch, Malcolm D. & Wong, Kit Po, 2017. "A comprehensive review on large-scale photovoltaic system with applications of electrical energy storage," Renewable and Sustainable Energy Reviews, Elsevier, vol. 78(C), pages 439-451.
    22. Tang, Thomas Li-Ping, 1996. "Pay differentials as a function of rater's sex, money ethic, and job incumbent's sex: A test of the Matthew Effect," Journal of Economic Psychology, Elsevier, vol. 17(1), pages 127-144, February.
    23. Ramshani, Mohammad & Li, Xueping & Khojandi, Anahita & Omitaomu, Olufemi, 2020. "An agent-based approach to study the diffusion rate and the effect of policies on joint placement of photovoltaic panels and green roof under climate change uncertainty," Applied Energy, Elsevier, vol. 261(C).
    24. 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.
    25. Lai, Chun Sing & Locatelli, Giorgio, 2021. "Economic and financial appraisal of novel large-scale energy storage technologies," Energy, Elsevier, vol. 214(C).
    26. Miguel Manuel de Villena & Raphael Fonteneau & Axel Gautier & Damien Ernst, 2019. "Evaluating the Evolution of Distribution Networks under Different Regulatory Frameworks with Multi-Agent Modelling," Energies, MDPI, vol. 12(7), pages 1-15, March.
    27. Cai, Desmond W.H. & Adlakha, Sachin & Low, Steven H. & De Martini, Paul & Mani Chandy, K., 2013. "Impact of residential PV adoption on Retail Electricity Rates," Energy Policy, Elsevier, vol. 62(C), pages 830-843.
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    4. Valkering, Pieter & Moglianesi, Andrea & Godon, Louis & Duerinck, Jan & Huber, Dominik & Costa, Daniele, 2023. "Representing decentralized generation and local energy use flexibility in an energy system optimization model," Applied Energy, Elsevier, vol. 348(C).

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