Modeling Waste Characteristics and WtE Plants as a Tool for Optimum Operation Conditions

  • Jasmin Kornau
  • Henning Albers
Part of the Green Energy and Technology book series (GREEN)


Material and energy flow networks are an applicable optimization tool for waste treatment and recycling management. Once the models have been complied and fed with waste and process data, the actual operation conditions and states can be calculated and visualized. Furthermore possible treatment results can be simulated, in case operation conditions have been modified. When modeling a plant as a material flow network using UMBERTO® all process steps can be described in detail, their treatment purposes be shown and potentials for the optimization be indicated. Specific optimization strategies for several approaches can be established, e.g. adjusting plant configurations, determining the optimal waste mixture or deducing material flow management strategies in order to reach optimal treatment results. This chapter will give an insight how the modeling for WtE plants has been performed and optimization potentials have been generated on basis of these models.


Municipal Solid Waste Refuse Derive Fuel Waste Mixture Waste Fraction Waste Incineration Plant 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.



The authors gratefully acknowledge the financial support by the Federal State of Bremen, Germany from the Ecological and Applied Environmental Research Fund and the European Regional Development Fund. Furthermore the authors like to thank all colleagues working onto the research project RessourceMan (, especially Anke Schmidt, Tobias Brinkmann (eco!ogix, Germany) and Sebastian Wolff (Institute for Energy, Recycling and Environmental Protection at Bremen University of Applied Sciences, Germany). The author likes also to thank Hendrik Lambrecht and Mario Schmidt from Pforzheim University, Germany for the cooperation between the research projects RessourceMan and KOMSA.


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Copyright information

© Springer-Verlag London Limited 2012

Authors and Affiliations

  1. 1.Hochschule Bremen–University of Applied SciencesBremenGermany

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