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Photovoltaic Smart Grids in the Prosumers Investment Decisions: a Real Option Model

Author

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  • Marta Castellini

    (Università degli Studi di Brescia and Fondazione Eni Enrico Mattei)

  • Francesco Menoncin

    (Università degli Studi di Brescia)

  • Michele Moretto

    (Università degli Studi di Padova)

  • Sergio Vergalli

    (Università degli Studi di Brescia and Fondazione Eni Enrico Mattei)

Abstract

The digitization of power system represents one of the main instruments to achieve the target set by the European Union 2030 climate and energy Agenda of affordable energy transition. During the last years, such innovation process has been associated with the Smart Grid (SG) term. In this context, efficiency and flexibility of power systems are expected to increase and energy consumers to be active also on the production side, thus becoming prosumers (agents that both produce and consume energy). This paper provides a theoretical real option framework with the aim to model prosumers’ decision to invest in photovoltaic power plants, assuming that they are integrated in a Smart Grid. Our main focus is to study the optimal plant size and the optimal investment threshold, in a context where exchange of energy among prosumers is possible. The model was calibrated and tested with data from the Northern Italy energy market. Our findings show that the possibility of selling energy between prosumers, via the Smart Grid, increases investment values. This opportunity encourages prosumers to invest in a larger plant compared with the case without exchange possibility and that there is a positive relation between optimal size and (optimal) investment timing. The effect of uncertainty is in line with the literature, showing increasing value to defer with volatility.

Suggested Citation

  • Marta Castellini & Francesco Menoncin & Michele Moretto & Sergio Vergalli, 2019. "Photovoltaic Smart Grids in the Prosumers Investment Decisions: a Real Option Model," Working Papers 2019.28, Fondazione Eni Enrico Mattei.
  • Handle: RePEc:fem:femwpa:2019.28
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    Cited by:

    1. Zhang, Hanyu & Assereto, Martina & Byrne, Julie, 2023. "Deferring real options with solar renewable energy certificates," Global Finance Journal, Elsevier, vol. 55(C).
    2. Francesca Andreolli & Chiara D'Alpaos & Peter Kort, 2023. "Does P2P Trading Favor Investments in PV-Battery Systems?," Working Papers 2023.02, Fondazione Eni Enrico Mattei.
    3. Raisa Pérez-Vas & Félix Puime Guillén & Joaquín Enríquez-Díaz, 2021. "Valuation of a Company Producing and Trading Seaweed for Human Consumption: Classical Methods vs. Real Options," IJERPH, MDPI, vol. 18(10), pages 1-13, May.
    4. Castellini, Marta & Di Corato, Luca & Moretto, Michele & Vergalli, Sergio, 2021. "Energy exchange among heterogeneous prosumers under price uncertainty," Energy Economics, Elsevier, vol. 104(C).
    5. Berg, Tobias & Carletti, Elena & Claessens, Stijn & Krahnen, Jan Pieter & Monasterolo, Irene & Pagano, Marco, 2023. "Climate regulation and financial risk: The challenge of policy uncertainty," SAFE Policy Letters 100, Leibniz Institute for Financial Research SAFE.
    6. Miquel-Flores, Ixart & Reghezza, Alessio & Buchetti, Bruno & Perdichizzi, Salvatore, 2024. "Greening the economy: how public-guaranteed loans influence firm-level resource allocation," Working Paper Series 2916, European Central Bank.
    7. Andreolli, Francesca & D’Alpaos, Chiara & Moretto, Michele, 2022. "Valuing investments in domestic PV-Battery Systems under uncertainty," Energy Economics, Elsevier, vol. 106(C).
    8. D'Adamo, Idiano & Gastaldi, Massimo & Morone, Piergiuseppe & Ozturk, Ilhan, 2022. "Economics and policy implications of residential photovoltaic systems in Italy's developed market," Utilities Policy, Elsevier, vol. 79(C).
    9. Sam Wilkinson & Michele John & Gregory M. Morrison, 2021. "Rooftop PV and the Renewable Energy Transition; a Review of Driving Forces and Analytical Frameworks," Sustainability, MDPI, vol. 13(10), pages 1-25, May.

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    More about this item

    Keywords

    Smart Grids; Renewable Energy Sources; Real Options; Prosumer; Peer to Peer Energy Trading;
    All these keywords.

    JEL classification:

    • Q42 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Alternative Energy Sources
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty

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