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Investing in biogas: timing, technological choice and the value of flexibility from inputs mix

Author

Listed:
  • Luca Di Corato

    () (SLU - Uppsala)

  • Michele Moretto

    () (University of Padova)

Abstract

In a stochastic dynamic frame, we study the technology choice problem of a continuous co- digestion biogas plant where input factors are substitute but need to be mixed together to provide output. Given any initial rule for the composition of the feedstock, we consider the possibility of revising it if economic circumstances make it profitable. Flexibility in the mix is an advantage under randomly fluctuating input costs and comes at a higher investment cost. We show that the degree of flexibility in the productive technology installed depends on the value of the option to profitably re-arrange the input mix. Such option adds value to the project in that it provides a device for hedging against fluctuations in the input relative convenience. Accounting for such value we discuss the trade-off between investment timing and profit smoothing flexibility.

Suggested Citation

  • Luca Di Corato & Michele Moretto, 2011. "Investing in biogas: timing, technological choice and the value of flexibility from inputs mix," "Marco Fanno" Working Papers 0134, Dipartimento di Scienze Economiche "Marco Fanno".
  • Handle: RePEc:pad:wpaper:0134
    as

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    References listed on IDEAS

    as
    1. Di Corato, Luca & Moretto, Michele, 2011. "Investing in biogas: Timing, technological choice and the value of flexibility from input mix," Energy Economics, Elsevier, vol. 33(6), pages 1186-1193.
    2. Chynoweth, David P & Owens, John M & Legrand, Robert, 2001. "Renewable methane from anaerobic digestion of biomass," Renewable Energy, Elsevier, vol. 22(1), pages 1-8.
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    Citations

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    Cited by:

    1. Di Corato, Luca & Moretto, Michele, 2011. "Investing in biogas: Timing, technological choice and the value of flexibility from input mix," Energy Economics, Elsevier, vol. 33(6), pages 1186-1193.
    2. repec:eee:energy:v:149:y:2018:i:c:p:890-902 is not listed on IDEAS
    3. Bertolini, Marina & D’Alpaos, Chiara & Moretto, Michele, 2016. "Investing in Photovoltaics: Timing, Plant Sizing and Smart Grids Flexibility," MITP: Mitigation, Innovation,and Transformation Pathways 244540, Fondazione Eni Enrico Mattei (FEEM).
    4. Di Corato, Luca & Montinari, Natalia, 2014. "Flexible waste management under uncertainty," European Journal of Operational Research, Elsevier, vol. 234(1), pages 174-185.
    5. Yu-Fu Chen & Michael Funke, 2010. "Booms, Recessions And Financial Turmoil: A Fresh Look At Investment Decisions Under Cyclical Uncertainty," Scottish Journal of Political Economy, Scottish Economic Society, vol. 57(s1), pages 290-317, July.
    6. Carrosio, Giovanni, 2013. "Energy production from biogas in the Italian countryside: Policies and organizational models," Energy Policy, Elsevier, vol. 63(C), pages 3-9.
    7. Andreas Welling, 2017. "Green Finance: Recent developments, characteristics and important actors," FEMM Working Papers 170002, Otto-von-Guericke University Magdeburg, Faculty of Economics and Management.
    8. repec:eee:rensus:v:80:y:2017:i:c:p:180-196 is not listed on IDEAS
    9. Fabio Bartolini & Luciana G. Angelini & Gianluca Brunori & Oriana Gava, 2015. "Impacts of the CAP 2014–2020 on the Agroenergy Sector in Tuscany, Italy," Energies, MDPI, Open Access Journal, vol. 8(2), pages 1-22, February.
    10. Wittmann, Nadine & Yildiz, Özgür, 2013. "A microeconomic analysis of decentralized small scale biomass based CHP plants—The case of Germany," Energy Policy, Elsevier, vol. 63(C), pages 123-129.

    More about this item

    Keywords

    Real Options; Flexibility; Technological Choice; Renewable Energy; Biomass; Anaerobic Digestion.;

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • Q42 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Alternative Energy Sources

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