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Cooperation in manure-based biogas production networks: An agent-based modeling approach

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  • Yazan, Devrim Murat
  • Fraccascia, Luca
  • Mes, Martijn
  • Zijm, Henk

Abstract

Biogas production from manure has been proposed as a partial solution to energy and environmental concerns. However, manure markets face distortions caused by considerable unbalance between supply and demand and environmental regulations imposed for soil and water protection. Such market distortions influence the cooperation between animal farmers, biogas producers and arable land owners causing fluctuations in manure prices paid (or incurred) by animal farmers. This paper adopts an agent-based modeling approach to investigate the interactions between manure suppliers, i.e., animal farmers, and biogas producers in an industrial symbiosis case example consisting of 19 municipalities in the Overijssel region (eastern Netherlands). To find the manure price for successful cooperation schemes, we measure the impact of manure discharge cost, dimension and dispersion of animal farms, incentives provided by the government for bioenergy production, and the investment costs of biogas plants for different scales on the economic returns for both actor types and favorable market conditions. Findings show that manure exchange prices may vary between −3.33 €/t manure (i.e., animal farmer pays to biogas producer) and 7.03 €/t manure (i.e., biogas producer pays to animal farmer) and thanks to cooperation, actors can create a total economic value added between 3.73 €/t manure and 39.37 €/t manure. Hence, there are cases in which animal farmers can profitably be paid, but the presence of a supply surplus not met by demand provides an advantage to arable land owners and biogas producers in the price contracting phase in the current situation in the Netherlands.

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  • Yazan, Devrim Murat & Fraccascia, Luca & Mes, Martijn & Zijm, Henk, 2018. "Cooperation in manure-based biogas production networks: An agent-based modeling approach," Applied Energy, Elsevier, vol. 212(C), pages 820-833.
  • Handle: RePEc:eee:appene:v:212:y:2018:i:c:p:820-833
    DOI: 10.1016/j.apenergy.2017.12.074
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    7. Luca Fraccascia & Vahid Yazdanpanah & Guido Capelleveen & Devrim Murat Yazan, 2021. "Energy-based industrial symbiosis: a literature review for circular energy transition," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(4), pages 4791-4825, April.
    8. Danijel Topić & Marinko Barukčić & Dražen Mandžukić & Cecilia Mezei, 2020. "Optimization Model for Biogas Power Plant Feedstock Mixture Considering Feedstock and Transportation Costs Using a Differential Evolution Algorithm," Energies, MDPI, vol. 13(7), pages 1-22, April.
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    10. Paria Sefeedpari & Rafał Pudełko & Anna Jędrejek & Małgorzata Kozak & Magdalena Borzęcka, 2020. "To What Extent Is Manure Produced, Distributed, and Potentially Available for Bioenergy? A Step toward Stimulating Circular Bio-Economy in Poland," Energies, MDPI, vol. 13(23), pages 1-22, November.
    11. Lauer, Markus & Hansen, Jason K. & Lamers, Patrick & Thrän, Daniela, 2018. "Making money from waste: The economic viability of producing biogas and biomethane in the Idaho dairy industry," Applied Energy, Elsevier, vol. 222(C), pages 621-636.
    12. Venus, Terese E. & Strauss, Felix & Venus, Thomas J. & Sauer, Johannes, 2021. "Understanding stakeholder preferences for future biogas development in Germany," Land Use Policy, Elsevier, vol. 109(C).
    13. J. Raimbault & J. Broere & M. Somveille & J. M. Serna & E. Strombom & C. Moore & B. Zhu & L. Sugar, 2020. "A spatial agent based model for simulating and optimizing networked eco-industrial systems," Papers 2003.14133, arXiv.org.
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