IDEAS home Printed from https://ideas.repec.org/p/ris/fcnwpa/2014_019.html
   My bibliography  Save this paper

Identifying Business Models for Photovoltaic Systems with Storage in the Italian Market: A Discrete Choice Experiment

Author

Listed:
  • Galassi, Veronica

    (E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN))

  • Madlener, Reinhard

    (E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN))

Abstract

The future diffusion of photovoltaic systems relies heavily on the ability of utilities and policy-makers to properly valorize such volatile renewable energy-sources technologies. We conduct a discrete choice experiment to investigate which types of business models for photovoltaic systems could bring the highest utility to the Italian households. Our focus is not just on the costs and benefits of a photovoltaic system, but also on features like system control and maintenance, the duration of the electricity supply contract, as well as preferred channels of purchase and installation. Most importantly, we also include alternatives with battery storage. The data analysis – based on the Hierarchical Bayes estimation technique – reveals credible preferences for PV photovoltaic systems with battery storage facilities controlled by the utility or solutions characterized by lower investment costs. Multivariate analysis of variance coupled with the estimation of a random effects model with mixture of normal distributions suggests the presence of some heterogeneity across adopters and knowledgeable non-adopters, the latter particularly involving risk perception. Sensitivity analysis provides additional evidence in favor or these findings. On the basis of the results, we provide utilities and policy-makers with final recommendations.

Suggested Citation

  • Galassi, Veronica & Madlener, Reinhard, 2014. "Identifying Business Models for Photovoltaic Systems with Storage in the Italian Market: A Discrete Choice Experiment," FCN Working Papers 19/2014, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN).
  • Handle: RePEc:ris:fcnwpa:2014_019
    as

    Download full text from publisher

    File URL: http://www.fcn.eonerc.rwth-aachen.de/global/show_document.asp?id=aaaaaaaaaamzlxt
    File Function: Full text
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Scarpa, Riccardo & Willis, Ken, 2010. "Willingness-to-pay for renewable energy: Primary and discretionary choice of British households' for micro-generation technologies," Energy Economics, Elsevier, vol. 32(1), pages 129-136, January.
    2. Louviere, Jordan J. & Islam, Towhidul, 2008. "A comparison of importance weights and willingness-to-pay measures derived from choice-based conjoint, constant sum scales and best-worst scaling," Journal of Business Research, Elsevier, vol. 61(9), pages 903-911, September.
    3. Danny Campbell & W. George Hutchinson & Riccardo Scarpa, 2006. "Lexicographic Preferences in Discrete Choice Experiments: Consequences on Individual-Specific Willingness to Pay Estimates," Working Papers 2006.128, Fondazione Eni Enrico Mattei.
    4. Steve Berry & Ahmed Khwaja & Vineet Kumar & Andres Musalem & Kenneth Wilbur & Greg Allenby & Bharat Anand & Pradeep Chintagunta & W. Hanemann & Przemek Jeziorski & Angelo Mele, 2014. "Structural models of complementary choices," Marketing Letters, Springer, vol. 25(3), pages 245-256, September.
    5. Faiers, Adam & Neame, Charles, 2006. "Consumer attitudes towards domestic solar power systems," Energy Policy, Elsevier, vol. 34(14), pages 1797-1806, September.
    6. Colmenar-Santos, Antonio & Campíñez-Romero, Severo & Pérez-Molina, Clara & Castro-Gil, Manuel, 2012. "Profitability analysis of grid-connected photovoltaic facilities for household electricity self-sufficiency," Energy Policy, Elsevier, vol. 51(C), pages 749-764.
    7. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555.
    8. 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..
    9. Hoppmann, Joern & Volland, Jonas & Schmidt, Tobias S. & Hoffmann, Volker H., 2014. "The economic viability of battery storage for residential solar photovoltaic systems – A review and a simulation model," Renewable and Sustainable Energy Reviews, Elsevier, vol. 39(C), pages 1101-1118.
    10. Harmsen - van Hout, Marjolein & Ghosh, Gaurav & Madlener, Reinhard, 2013. "An Evaluation of Attribute Anchoring Bias in a Choice Experimental Setting," FCN Working Papers 6/2013, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN).
    11. Longo, Alberto & Markandya, Anil & Petrucci, Marta, 2008. "The internalization of externalities in the production of electricity: Willingness to pay for the attributes of a policy for renewable energy," Ecological Economics, Elsevier, vol. 67(1), pages 140-152, August.
    12. Huijben, J.C.C.M. & Verbong, G.P.J., 2013. "Breakthrough without subsidies? PV business model experiments in the Netherlands," Energy Policy, Elsevier, vol. 56(C), pages 362-370.
    13. Emily Lancsar & Jordan Louviere, 2006. "Deleting ‘irrational’ responses from discrete choice experiments: a case of investigating or imposing preferences?," Health Economics, John Wiley & Sons, Ltd., vol. 15(8), pages 797-811, August.
    14. 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.
    15. Andrew A. Goett & Kathleen Hudson & Kenneth E. Train, 2000. "Customers' Choice Among Retail Energy Suppliers: The Willingness-to-Pay for Service Attributes," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4), pages 1-28.
    16. Bigerna, Simona & Polinori, Paolo, 2014. "Italian households׳ willingness to pay for green electricity," Renewable and Sustainable Energy Reviews, Elsevier, vol. 34(C), pages 110-121.
    17. Achtnicht, Martin, 2011. "Do environmental benefits matter? Evidence from a choice experiment among house owners in Germany," Ecological Economics, Elsevier, vol. 70(11), pages 2191-2200, September.
    18. Sauter, Raphael & Watson, Jim, 2007. "Strategies for the deployment of micro-generation: Implications for social acceptance," Energy Policy, Elsevier, vol. 35(5), pages 2770-2779, May.
    19. Drury, Easan & Miller, Mackay & Macal, Charles M. & Graziano, Diane J. & Heimiller, Donna & Ozik, Jonathan & Perry IV, Thomas D., 2012. "The transformation of southern California's residential photovoltaics market through third-party ownership," Energy Policy, Elsevier, vol. 42(C), pages 681-690.
    20. Danny Campbell & W. George Hutchinson & Riccardo Scarpa, 2006. "Lexicographic Preferences in Discrete Choice Experiments: Consequences on Individual-Specific Willingness to Pay Estimates," Working Papers 2006.128, Fondazione Eni Enrico Mattei.
    21. Johan Jansson, 2011. "Consumer eco‐innovation adoption: assessing attitudinal factors and perceived product characteristics," Business Strategy and the Environment, Wiley Blackwell, vol. 20(3), pages 192-210, March.
    22. Cossent, Rafael & Gómez, Tomás & Olmos, Luis, 2011. "Large-scale integration of renewable and distributed generation of electricity in Spain: Current situation and future needs," Energy Policy, Elsevier, vol. 39(12), pages 8078-8087.
    23. Banfi, Silvia & Farsi, Mehdi & Filippini, Massimo & Jakob, Martin, 2008. "Willingness to pay for energy-saving measures in residential buildings," Energy Economics, Elsevier, vol. 30(2), pages 503-516, March.
    24. Labay, Duncan G & Kinnear, Thomas C, 1981. "Exploring the Consumer Decision Process in the Adoption of Solar Energy Systems," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 8(3), pages 271-278, December.
    25. Kaenzig, Josef & Heinzle, Stefanie Lena & Wüstenhagen, Rolf, 2013. "Whatever the customer wants, the customer gets? Exploring the gap between consumer preferences and default electricity products in Germany," Energy Policy, Elsevier, vol. 53(C), pages 311-322.
    26. Daziano, Ricardo A., 2013. "Conditional-logit Bayes estimators for consumer valuation of electric vehicle driving range," Resource and Energy Economics, Elsevier, vol. 35(3), pages 429-450.
    27. Amador, Francisco Javier & González, Rosa Marina & Ramos-Real, Francisco Javier, 2013. "Supplier choice and WTP for electricity attributes in an emerging market: The role of perceived past experience, environmental concern and energy saving behavior," Energy Economics, Elsevier, vol. 40(C), pages 953-966.
    28. 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.
    29. Jaffe, Adam B. & Stavins, Robert N., 1994. "The energy-efficiency gap What does it mean?," Energy Policy, Elsevier, vol. 22(10), pages 804-810, October.
    30. Balcombe, Kelvin & Chalak, Ali & Fraser, Iain, 2009. "Model selection for the mixed logit with Bayesian estimation," Journal of Environmental Economics and Management, Elsevier, vol. 57(2), pages 226-237, March.
    31. Bazilian, Morgan & Onyeji, Ijeoma & Liebreich, Michael & MacGill, Ian & Chase, Jennifer & Shah, Jigar & Gielen, Dolf & Arent, Doug & Landfear, Doug & Zhengrong, Shi, 2013. "Re-considering the economics of photovoltaic power," Renewable Energy, Elsevier, vol. 53(C), pages 329-338.
    32. Richter, Mario, 2013. "Business model innovation for sustainable energy: German utilities and renewable energy," Energy Policy, Elsevier, vol. 62(C), pages 1226-1237.
    33. Claudy, Marius C. & Michelsen, Claus & O'Driscoll, Aidan, 2011. "The diffusion of microgeneration technologies - assessing the influence of perceived product characteristics on home owners' willingness to pay," Energy Policy, Elsevier, vol. 39(3), pages 1459-1469, March.
    34. S. Sriram & Pradeep K. Chintagunta & Manoj K. Agarwal, 2010. "Investigating Consumer Purchase Behavior in Related Technology Product Categories," Marketing Science, INFORMS, vol. 29(2), pages 291-314, 03-04.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Christian A. Oberst & Reinhard Madlener, 2015. "Prosumer Preferences Regarding the Adoption of Micro†Generation Technologies: Empirical Evidence for German Homeowners," Working Papers 2015.07, International Network for Economic Research - INFER.
    2. Emily Schulte & Fabian Scheller & Daniel Sloot & Thomas Bruckner, 2021. "A meta-analysis of residential PV adoption: the important role of perceived benefits, intentions and antecedents in solar energy acceptance," Papers 2112.12464, arXiv.org.
    3. Oberst, Christian & Madlener, Reinhard, 2015. "Prosumer Preferences Regarding the Adoption of Micro‐Generation Technologies: Empirical Evidence for German Homeowners," FCN Working Papers 22/2014, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN).
    4. Kalkbrenner, Bernhard J., 2019. "Residential vs. community battery storage systems – Consumer preferences in Germany," Energy Policy, Elsevier, vol. 129(C), pages 1355-1363.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Stefania Troiano & Daniel Vecchiato & Francesco Marangon & Tiziano Tempesta & Federico Nassivera, 2019. "Households’ Preferences for a New ‘Climate-Friendly’ Heating System: Does Contribution to Reducing Greenhouse Gases Matter?," Energies, MDPI, vol. 12(13), pages 1-19, July.
    2. Dalia Streimikiene & Tomas Balezentis & Ilona Alisauskaite-Seskiene & Gintare Stankuniene & Zaneta Simanaviciene, 2019. "A Review of Willingness to Pay Studies for Climate Change Mitigation in the Energy Sector," Energies, MDPI, vol. 12(8), pages 1-38, April.
    3. Christian A. Oberst & Reinhard Madlener, 2015. "Prosumer Preferences Regarding the Adoption of Micro†Generation Technologies: Empirical Evidence for German Homeowners," Working Papers 2015.07, International Network for Economic Research - INFER.
    4. Simpson, Genevieve & Clifton, Julian, 2016. "Subsidies for residential solar photovoltaic energy systems in Western Australia: Distributional, procedural and outcome justice," Renewable and Sustainable Energy Reviews, Elsevier, vol. 65(C), pages 262-273.
    5. Dalia Streimikiene & Tomas Balezentis & Irena Alebaite, 2020. "Climate Change Mitigation in Households between Market Failures and Psychological Barriers," Energies, MDPI, vol. 13(11), pages 1-21, June.
    6. Oerlemans, Leon A.G. & Chan, Kai-Ying & Volschenk, Jako, 2016. "Willingness to pay for green electricity: A review of the contingent valuation literature and its sources of error," Renewable and Sustainable Energy Reviews, Elsevier, vol. 66(C), pages 875-885.
    7. Bao, Qifang & Sinitskaya, Ekaterina & Gomez, Kelley J. & MacDonald, Erin F. & Yang, Maria C., 2020. "A human-centered design approach to evaluating factors in residential solar PV adoption: A survey of homeowners in California and Massachusetts," Renewable Energy, Elsevier, vol. 151(C), pages 503-513.
    8. Ortega-Izquierdo, Margarita & Paredes-Salvador, Andrés & Montoya-Rasero, Carlos, 2019. "Analysis of the decision making factors for heating and cooling systems in Spanish households," Renewable and Sustainable Energy Reviews, Elsevier, vol. 100(C), pages 175-185.
    9. Klingler, Anna-Lena, 2017. "Self-consumption with PV+Battery systems: A market diffusion model considering individual consumer behaviour and preferences," Applied Energy, Elsevier, vol. 205(C), pages 1560-1570.
    10. Kim, Hyunggeun & Park, Sangkyu & Lee, Jongsu, 2021. "Is renewable energy acceptable with power grid expansion? A quantitative study of South Korea's renewable energy acceptance," Renewable and Sustainable Energy Reviews, Elsevier, vol. 139(C).
    11. Amador, Francisco Javier & González, Rosa Marina & Ramos-Real, Francisco Javier, 2013. "Supplier choice and WTP for electricity attributes in an emerging market: The role of perceived past experience, environmental concern and energy saving behavior," Energy Economics, Elsevier, vol. 40(C), pages 953-966.
    12. Ruokamo, Enni, 2016. "Household preferences of hybrid home heating systems – A choice experiment application," Energy Policy, Elsevier, vol. 95(C), pages 224-237.
    13. Wilson, C. & Pettifor, H. & Chryssochoidis, G., 2018. "Quantitative modelling of why and how homeowners decide to renovate energy efficiently," Applied Energy, Elsevier, vol. 212(C), pages 1333-1344.
    14. Schleich, Joachim & Tu, Gengyang & Faure, Corinne & Guetlein, Marie-Charlotte, 2021. "Would you prefer to rent rather than own your new heating system? Insights from a discrete choice experiment among owner-occupiers in the UK," Energy Policy, Elsevier, vol. 158(C).
    15. Kalkbrenner, Bernhard J., 2019. "Residential vs. community battery storage systems – Consumer preferences in Germany," Energy Policy, Elsevier, vol. 129(C), pages 1355-1363.
    16. Boeri, Marco & Longo, Alberto, 2017. "The importance of regret minimization in the choice for renewable energy programmes: Evidence from a discrete choice experiment," Energy Economics, Elsevier, vol. 63(C), pages 253-260.
    17. Pepermans, Guido, 2014. "Valuing smart meters," Energy Economics, Elsevier, vol. 45(C), pages 280-294.
    18. 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.
    19. Cristiano Franceschinis & Riccardo Scarpa & Mara Thiene & John Rose & Michele Moretto & Raffaele Cavalli, 2016. "Exploring the Spatial Heterogeneity of Individual Preferences for Ambient Heating Systems," Energies, MDPI, vol. 9(6), pages 1-19, May.
    20. Ndebele, Tom & Marsh, Dan & Scarpa, Riccardo, 2019. "Consumer switching in retail electricity markets: Is price all that matters?," Energy Economics, Elsevier, vol. 83(C), pages 88-103.

    More about this item

    Keywords

    DCE; Residential PV; Energy storage; Feed-in tariff;
    All these keywords.

    JEL classification:

    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • Q42 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Alternative Energy Sources

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ris:fcnwpa:2014_019. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Hendrik Schmitz (email available below). General contact details of provider: https://edirc.repec.org/data/fceonde.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.