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Investing in biogas: Timing, technological choice and the value of flexibility from input mix

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  • Di Corato, Luca
  • Moretto, Michele

Abstract

In a stochastic dynamic frame, we study the technology choice problem of a continuous co-digestion biogas plant where input factors are substitutes 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.

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  • 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.
  • Handle: RePEc:eee:eneeco:v:33:y:2011:i:6:p:1186-1193
    DOI: 10.1016/j.eneco.2011.05.012
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    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. 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).
    3. Di Corato, Luca & Montinari, Natalia, 2014. "Flexible waste management under uncertainty," European Journal of Operational Research, Elsevier, vol. 234(1), pages 174-185.
    4. Carrosio, Giovanni, 2013. "Energy production from biogas in the Italian countryside: Policies and organizational models," Energy Policy, Elsevier, vol. 63(C), pages 3-9.
    5. Ye Li & Clemens Kool & Peter-Jan Engelen, 2020. "Analyzing the Business Case for Hydrogen-Fuel Infrastructure Investments with Endogenous Demand in The Netherlands: A Real Options Approach," Sustainability, MDPI, vol. 12(13), pages 1-22, July.
    6. Bertolini, Marina & D'Alpaos, Chiara & Moretto, Michele, 2018. "Do Smart Grids boost investments in domestic PV plants? Evidence from the Italian electricity market," Energy, Elsevier, vol. 149(C), pages 890-902.
    7. 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(3), pages 290-317, July.
    8. Balibrea-Iniesta, José & Rodríguez-Monroy, Carlos & Núñez-Guerrero, Yilsy María, 2021. "Economic analysis of the German regulation for electrical generation projects from biogas applying the theory of real options," Energy, Elsevier, vol. 231(C).
    9. 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.
    10. Alessio Trivella & Selvaprabu Nadarajah & Stein-Erik Fleten & Denis Mazieres & David Pisinger, 2021. "Managing Shutdown Decisions in Merchant Commodity and Energy Production: A Social Commerce Perspective," Manufacturing & Service Operations Management, INFORMS, vol. 23(2), pages 311-330, March.
    11. Kuangyuan Zhang & Richard Olawoyin & Antonio Nieto & Andrew N. Kleit, 2018. "Risk of commodity price, production cost and time to build in resource economics," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 20(6), pages 2521-2544, December.
    12. 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.
    13. 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, vol. 8(2), pages 1-22, February.
    14. Ayman Awad & Hussein Abdel-Mawgoud & Salah Kamel & Abdalla A. Ibrahim & Francisco Jurado, 2021. "Developing a Hybrid Optimization Algorithm for Optimal Allocation of Renewable DGs in Distribution Network," Clean Technol., MDPI, vol. 3(2), pages 1-15, May.
    15. Kozlova, Mariia, 2017. "Real option valuation in renewable energy literature: Research focus, trends and design," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 180-196.
    16. Briest, Gordon & Lauven, Lars-Peter & Kupfer, Stefan & Lukas, Elmar, 2022. "Leaving well-worn paths: Reversal of the investment-uncertainty relationship and flexible biogas plant operation," European Journal of Operational Research, Elsevier, vol. 300(3), pages 1162-1176.

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    More about this item

    Keywords

    Real options; Flexibility; Technological choice; Renewable energy; Biomass; Anaerobic digestion;
    All these keywords.

    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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