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Implementation of OPTIMASS to optimise municipal wastewater sludge processing chains: Proof of concept

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

Abstract

In sludge management, sludge is increasingly perceived as a marketable product rather than as a waste material. This awareness in combination with the variety of factors influencing the optimal management strategy and disposal route, introduces the need to optimise the sludge treatment throughout the whole chain instead of only minimising its production. In this paper, OPTIMASS, a mixed integer linear programming model to optimise strategic and tactical decisions in biomass-based supply chains, is proposed in order to meet this need. The applicability of OPTIMASS is illustrated through its implementation with a view to minimise the overall global warming impact of a real municipal wastewater sludge processing chain in “region X”. A first scenario addresses the optimisation of the allocation and treatment of municipal wastewater sludge within the current network. Second, OPTIMASS is used to identify the optimal location(s) for new drying facilities in this chain. Finally, the effect on the optimal chain of changes in municipal wastewater sludge production and of changes in global warming impact of the cement industry as a disposal route is evaluated.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:recore:v:114:y:2016:i:c:p:168-178
    DOI: 10.1016/j.resconrec.2016.03.012
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    References listed on IDEAS

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    1. 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.
    2. Görgüner, Merve & Aksoy, Ayşegül & Sanin, F. Dilek, 2015. "A transport cost-based optimization for recycling of municipal sludge through application on arable lands," Resources, Conservation & Recycling, Elsevier, vol. 94(C), pages 146-156.
    3. Song, Uhram & Lee, Eun Ju, 2010. "Environmental and economical assessment of sewage sludge compost application on soil and plants in a landfill," Resources, Conservation & Recycling, Elsevier, vol. 54(12), pages 1109-1116.
    4. G Mitchell & J E Beasley, 2011. "Optimisation of sludge treatment and transport," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(6), pages 939-948, June.
    5. Van Meerbeek, Koenraad & Ottoy, Sam & De Meyer, Annelies & Van Schaeybroeck, Tom & Van Orshoven, Jos & Muys, Bart & Hermy, Martin, 2015. "The bioenergy potential of conservation areas and roadsides for biogas in an urbanized region," Applied Energy, Elsevier, vol. 154(C), pages 742-751.
    6. Vadenbo, Carl & Guillén-Gosálbez, Gonzalo & Saner, Dominik & Hellweg, Stefanie, 2014. "Multi-objective optimization of waste and resource management in industrial networks – Part II: Model application to the treatment of sewage sludge," Resources, Conservation & Recycling, Elsevier, vol. 89(C), pages 41-51.
    7. Ribeiro, Paulo & Albuquerque, António & Quinta-Nova, Luis & Cavaleiro, Victor, 2010. "Recycling pulp mill sludge to improve soil fertility using GIS tools," Resources, Conservation & Recycling, Elsevier, vol. 54(12), pages 1303-1311.
    8. De Meyer, Annelies & Cattrysse, Dirk & Van Orshoven, Jos, 2015. "A generic mathematical model to optimise strategic and tactical decisions in biomass-based supply chains (OPTIMASS)," European Journal of Operational Research, Elsevier, vol. 245(1), pages 247-264.
    9. Richard C. Larson, 1988. "Transporting Sludge to the 106-Mile Site: An Inventory/Routing Model for Fleet Sizing and Logistics System Design," Transportation Science, INFORMS, vol. 22(3), pages 186-198, August.
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    1. Pantelis Broukos & Antonios Fragkogios & Nilay Shah, 2022. "A Linearized Mathematical Formulation for Combined Centralized and Distributed Waste Water Treatment Network Design," SN Operations Research Forum, Springer, vol. 3(3), pages 1-29, September.
    2. Omar Morsy & Farzad Hourfar & Qinqin Zhu & Ali Almansoori & Ali Elkamel, 2023. "A Superstructure Mixed-Integer Nonlinear Programming Optimization for the Optimal Processing Pathway Selection of Sludge-to-Energy Technologies," Sustainability, MDPI, vol. 15(5), pages 1-34, February.

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