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The insurance effect of renewable distributed energy resources against uncertain electricity price developments

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  • Fridgen, Gilbert
  • Halbrügge, Stephanie
  • Olenberger, Christian
  • Weibelzahl, Martin

Abstract

To combat climate change, many countries all around the world currently foster the development of renewable energy sources (RES). However, in contrast to traditional energy systems that relied on few central power plants, RES are typically highly decentral and spread all over a country. Against this backdrop, the promotion of a decentralization of the energy system by fostering a regional balance of energy demand and supply with a corresponding increase in energy democracy is seen as a promising approach. However, energy democracy driven by an increasing involvement of consumers requires adequate investments of consumers in their own local RES in order to become active players, usually called prosumers. Risk associated with uncertain long-term electricity price developments is generally seen as a barrier to investments. In contrast, we describe that an investment in distributed energy resources (DERs) may actually serve as a consumer's insurance against price risk. Our results set out that the consideration of risk-aversion may actually positively shift an investment decision in renewable DERs. This is due to the prosumer becoming more self-sufficient and less dependent on uncertain price developments. To analyze such an insurance effect, we create a formal decision model considering the prosumer's risk-aversion and derive the prosumer's optimal investment in renewable DERs. However, our results also indicate that under some circumstances the insurance effect disappears: When a prosumer turns into a predominant producer, the prosumer is again exposed to risk in terms of uncertain revenues. Ultimately, our work highlights the importance of a consideration of the insurance effect when assessing an investment in renewable DERs.

Suggested Citation

  • Fridgen, Gilbert & Halbrügge, Stephanie & Olenberger, Christian & Weibelzahl, Martin, 2020. "The insurance effect of renewable distributed energy resources against uncertain electricity price developments," Energy Economics, Elsevier, vol. 91(C).
  • Handle: RePEc:eee:eneeco:v:91:y:2020:i:c:s0140988320302279
    DOI: 10.1016/j.eneco.2020.104887
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    as
    1. M. S. Feldstein, 1969. "Mean-Variance Analysis in the Theory of Liquidity Preference and Portfolio Selection," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 36(1), pages 5-12.
    2. Jiayi, Huang & Chuanwen, Jiang & Rong, Xu, 2008. "A review on distributed energy resources and MicroGrid," Renewable and Sustainable Energy Reviews, Elsevier, vol. 12(9), pages 2472-2483, December.
    3. Lin, Boqiang & Chen, Yufang, 2019. "Does electricity price matter for innovation in renewable energy technologies in China?," Energy Economics, Elsevier, vol. 78(C), pages 259-266.
    4. Reiche, Danyel & Bechberger, Mischa, 2004. "Policy differences in the promotion of renewable energies in the EU member states," Energy Policy, Elsevier, vol. 32(7), pages 843-849, May.
    5. Duncan S. Callaway & Meredith Fowlie & Gavin McCormick, 2018. "Location, Location, Location: The Variable Value of Renewable Energy and Demand-Side Efficiency Resources," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 5(1), pages 39-75.
    6. Deichmann, Uwe & Meisner, Craig & Murray, Siobhan & Wheeler, David, 2011. "The economics of renewable energy expansion in rural Sub-Saharan Africa," Energy Policy, Elsevier, vol. 39(1), pages 215-227, January.
    7. Wickart, Marcel & Madlener, Reinhard, 2007. "Optimal technology choice and investment timing: A stochastic model of industrial cogeneration vs. heat-only production," Energy Economics, Elsevier, vol. 29(4), pages 934-952, July.
    8. Alarcon-Rodriguez, Arturo & Ault, Graham & Galloway, Stuart, 2010. "Multi-objective planning of distributed energy resources: A review of the state-of-the-art," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(5), pages 1353-1366, June.
    9. Roques, Fabien A. & Newbery, David M. & Nuttall, William J., 2008. "Fuel mix diversification incentives in liberalized electricity markets: A Mean-Variance Portfolio theory approach," Energy Economics, Elsevier, vol. 30(4), pages 1831-1849, July.
    10. Qiu, Yueming & Kahn, Matthew E. & Xing, Bo, 2019. "Quantifying the rebound effects of residential solar panel adoption," Journal of Environmental Economics and Management, Elsevier, vol. 96(C), pages 310-341.
    11. Akorede, Mudathir Funsho & Hizam, Hashim & Pouresmaeil, Edris, 2010. "Distributed energy resources and benefits to the environment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(2), pages 724-734, February.
    12. Harry Markowitz, 1952. "Portfolio Selection," Journal of Finance, American Finance Association, vol. 7(1), pages 77-91, March.
    13. Havas, Lisa & Ballweg, Julie & Penna, Chris & Race, Digby, 2015. "Power to change: Analysis of household participation in a renewable energy and energy efficiency programme in Central Australia," Energy Policy, Elsevier, vol. 87(C), pages 325-333.
    14. K. Borch, 1969. "A Note on Uncertainty and Indifference Curves," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 36(1), pages 1-4.
    15. H. Brett Humphreys & Katherine T. McClain, 1998. "Reducing the Impacts of Energy Price Volatility Through Dynamic Portfolio Selection," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3), pages 107-131.
    16. Mai, Trieu & Bistline, John & Sun, Yinong & Cole, Wesley & Marcy, Cara & Namovicz, Chris & Young, David, 2018. "The role of input assumptions and model structures in projections of variable renewable energy: A multi-model perspective of the U.S. electricity system," Energy Economics, Elsevier, vol. 76(C), pages 313-324.
    17. Ellabban, Omar & Abu-Rub, Haitham & Blaabjerg, Frede, 2014. "Renewable energy resources: Current status, future prospects and their enabling technology," Renewable and Sustainable Energy Reviews, Elsevier, vol. 39(C), pages 748-764.
    18. Bar-Lev, Dan & Katz, Steven, 1976. "A Portfolio Approach to Fossil Fuel Procurement in the Electric Utility Industry," Journal of Finance, American Finance Association, vol. 31(3), pages 933-947, June.
    19. Bullich-Massagué, Eduard & Díaz-González, Francisco & Aragüés-Peñalba, Mònica & Girbau-Llistuella, Francesc & Olivella-Rosell, Pol & Sumper, Andreas, 2018. "Microgrid clustering architectures," Applied Energy, Elsevier, vol. 212(C), pages 340-361.
    20. Moriarty, Patrick & Honnery, Damon, 2016. "Can renewable energy power the future?," Energy Policy, Elsevier, vol. 93(C), pages 3-7.
    21. Polzin, Friedemann & Egli, Florian & Steffen, Bjarne & Schmidt, Tobias S., 2019. "How do policies mobilize private finance for renewable energy?—A systematic review with an investor perspective," Applied Energy, Elsevier, vol. 236(C), pages 1249-1268.
    22. Zhang, M.M. & Wang, Qunwei & Zhou, Dequn & Ding, H., 2019. "Evaluating uncertain investment decisions in low-carbon transition toward renewable energy," Applied Energy, Elsevier, vol. 240(C), pages 1049-1060.
    23. Helm, Carsten & Mier, Mathias, 2019. "On the efficient market diffusion of intermittent renewable energies," Energy Economics, Elsevier, vol. 80(C), pages 812-830.
    24. Dietrich, Andreas & Weber, Christoph, 2018. "What drives profitability of grid-connected residential PV storage systems? A closer look with focus on Germany," Energy Economics, Elsevier, vol. 74(C), pages 399-416.
    25. 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.
    26. Steffen, Bjarne, 2018. "The importance of project finance for renewable energy projects," Energy Economics, Elsevier, vol. 69(C), pages 280-294.
    27. Toroghi, Shahaboddin H. & Oliver, Matthew E., 2019. "Framework for estimation of the direct rebound effect for residential photovoltaic systems," Applied Energy, Elsevier, vol. 251(C), pages 1-1.
    28. Awerbuch, Shimon, 2000. "Investing in photovoltaics: risk, accounting and the value of new technology," Energy Policy, Elsevier, vol. 28(14), pages 1023-1035, November.
    29. Ländner, Eva-Maria & Märtz, Alexandra & Schöpf, Michael & Weibelzahl, Martin, 2019. "From energy legislation to investment determination: Shaping future electricity markets with different flexibility options," Energy Policy, Elsevier, vol. 129(C), pages 1100-1110.
    30. Dow, James & Werlang, Sergio Ribeiro da Costa, 1992. "Uncertainty Aversion, Risk Aversion, and the Optimal Choice of Portfolio," Econometrica, Econometric Society, vol. 60(1), pages 197-204, January.
    31. Battaglini, Antonella & Komendantova, Nadejda & Brtnik, Patricia & Patt, Anthony, 2012. "Perception of barriers for expansion of electricity grids in the European Union," Energy Policy, Elsevier, vol. 47(C), pages 254-259.
    32. Quadri, Imran Ahmad & Bhowmick, S. & Joshi, D., 2018. "A comprehensive technique for optimal allocation of distributed energy resources in radial distribution systems," Applied Energy, Elsevier, vol. 211(C), pages 1245-1260.
    33. Zangiabadi, Mansoureh & Feuillet, Rene & Lesani, Hamid & Hadj-Said, Nouredine & Kvaløy, Jan T., 2011. "Assessing the performance and benefits of customer distributed generation developers under uncertainties," Energy, Elsevier, vol. 36(3), pages 1703-1712.
    34. Qiu, Yueming & Wang, Yi David & Wang, Jianfeng, 2017. "Soak up the sun: Impact of solar energy systems on residential home values in Arizona," Energy Economics, Elsevier, vol. 66(C), pages 328-336.
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