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Considering biomass growth and regeneration in the optimisation of biomass supply chains

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  • De Meyer, Annelies
  • Cattrysse, Dirk
  • Van Orshoven, Jos

Abstract

This paper presents t-OPTIMASS, a multi-period mixed integer linear programming model to optimise strategic and tactical decisions in all kinds of biomass supply chains taking into account the geographical fragmentation and temporal availability of biomass and changing biomass characteristics due to handling operations. Unlike existing models, t-OPTIMASS considers the growth and regeneration of biomass to determine the optimal harvesting moment(s). t-OPTIMASS is demonstrated based on the use of grass from nature reserves and road verges to substitute maize in the digestion mixture converted in the currently available wet anaerobic digesters or potential dry anaerobic digesters in Limburg (Belgium).

Suggested Citation

  • De Meyer, Annelies & Cattrysse, Dirk & Van Orshoven, Jos, 2016. "Considering biomass growth and regeneration in the optimisation of biomass supply chains," Renewable Energy, Elsevier, vol. 87(P2), pages 990-1002.
    • Handle: RePEc:eee:renene:v:87:y:2016:i:p2:p:990-1002
    DOI: 10.1016/j.renene.2015.07.043
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    References listed on IDEAS

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    Cited by:

    1. Reeko Watanabe & Tsunemi Watanabe, 2020. "The Development of Straw-Based Biomass Power Generation in Rural Area in Northeast China—An Institutional Analysis Grounded in a Risk Management Perspective," Sustainability, MDPI, vol. 12(5), pages 1, March.
    2. De Meyer, Annelies & Cattrysse, Dirk & Ostermeyer, Pieter & Van Orshoven, Jos, 2016. "Implementation of OPTIMASS to optimise municipal wastewater sludge processing chains: Proof of concept," Resources, Conservation & Recycling, Elsevier, vol. 114(C), pages 168-178.
    3. Schipfer, F. & Mäki, E. & Schmieder, U. & Lange, N. & Schildhauer, T. & Hennig, C. & Thrän, D., 2022. "Status of and expectations for flexible bioenergy to support resource efficiency and to accelerate the energy transition," Renewable and Sustainable Energy Reviews, Elsevier, vol. 158(C).
    4. Yazdanparast, R. & Jolai, F. & Pishvaee, M.S. & Keramati, A., 2022. "A resilient drop-in biofuel supply chain integrated with existing petroleum infrastructure: Toward more sustainable transport fuel solutions," Renewable Energy, Elsevier, vol. 184(C), pages 799-819.
    5. Greggio, Nicolas & Balugani, Enrico & Carlini, Carlotta & Contin, Andrea & Labartino, Nicola & Porcelli, Roberto & Quaranta, Marta & Righi, Serena & Vogli, Luciano & Marazza, Diego, 2019. "Theoretical and unused potential for residual biomasses in the Emilia Romagna Region (Italy) through a revised and portable framework for their categorization," Renewable and Sustainable Energy Reviews, Elsevier, vol. 112(C), pages 590-606.
    6. Susanne Theuerl & Christiane Herrmann & Monika Heiermann & Philipp Grundmann & Niels Landwehr & Ulrich Kreidenweis & Annette Prochnow, 2019. "The Future Agricultural Biogas Plant in Germany: A Vision," Energies, MDPI, vol. 12(3), pages 1-32, January.
    7. Ng, Rex T.L. & Maravelias, Christos T., 2017. "Design of biofuel supply chains with variable regional depot and biorefinery locations," Renewable Energy, Elsevier, vol. 100(C), pages 90-102.

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