Müller, T. M. ; Altherr, L. C. ; Ahola, Marja Birgit ; Schabel, Samuel ; Pelz, P. F.
Rodrigues, H. C. ; Herskovits, J. ; Mota Soares, C. M. ; Araújo, A. L. ; Guedes, J. M. ; Folgado, J. O. ; Moleiro, F. ; Madeira, J. F. A. (eds.) (2019):
Multi-Criteria Optimization of Pressure Screen Systems in Paper Recycling — Balancing Quality, Yield, Energy Consumption and System Complexity.
In: EngOpt 2018 : Proceedings of the 6th International Conference on Engineering Optimization, pp. 1216-1228,
Cham, Springer International Publishing, Cham, ISBN 978-3-319-97773-7,
DOI: 10.1007/978-3-319-97773-7_105,
[Conference or Workshop Item]

Abstract

The paper industry is the industry with the third highest energy consumption in the European Union. Using recycled paper instead of fresh fibers for papermaking is less energy consuming and saves resources. However, adhesive contaminants in recycled paper are particularly problematic since they reduce the quality of the resulting paper-product. To remove as many contaminants and at the same time obtain as many valuable fibres as possible, fine screening systems, consisting of multiple interconnected pressure screens, are used. Choosing the best configuration is a non-trivial task: The screens can be interconnected in several ways, and suitable screen designs as well as operational parameters have to be selected. Additionally, one has to face conflicting objectives. In this paper, we present an approach for the multi-criteria optimization of pressure screen systems based on Mixed-Integer Nonlinear Programming. We specifically focus on a clear representation of the trade-off between different objectives.

Send an inquiry

Show editorial Details