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

Author

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  • 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
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    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. 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).
    3. 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.
    4. Kalkbrenner, Bernhard J., 2019. "Residential vs. community battery storage systems – Consumer preferences in Germany," Energy Policy, Elsevier, vol. 129(C), pages 1355-1363.

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    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

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