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  • 1. Blanco, A.
    et al.
    Dahlquist, Erik
    Mälardalen University, School of Sustainable Development of Society and Technology.
    Kappen, J.
    Manninen, J.
    Negro, C.
    Ritala, R.
    Use of modelling and simulation in the pulp and paper industry2009In: Mathematical and Computer Modelling of Dynamical Systems, ISSN 1387-3954, E-ISSN 1744-5051, Vol. 15, no 5, p. 409-423Article in journal (Refereed)
    Abstract [en]

    In pulp and paper the modelling and simulation of the pulp production processes was the first major application. Since then several other applications have been realised though papermaking has never been on the lead concerning the use of computer-based modelling and simulation. The complex nature of the materials is one of the most demanding challenges and the biggest hurdle for any electronic description of the papermaking process or paper itself. So other industries took the lead and it is now for the paper industry to learn from these industries what can be done with the help of computers to control or optimise processes or to design new grades. The application of results gained with the use of modelling and simulation techniques in pulp and paper manufacturing processes has helped the industry to, for example, reduce emissions and increase the productivity and cost-efficiency of the processes. Still there are many important tasks open. A better understanding of the mechanisms of the processes and their control loops has to be achieved in order to further improve the paper quality, stabilise the wet-end chemistry, and enhance the runnability. Important features to be developed are new process designs, efficient process monitoring and systems that offer decision support during operation. In this paper a review of the state of the art on modelling and simulation in the pulp and paper industry is presented as well as further research needs.

  • 2.
    Papadopoulos, Alessandro
    et al.
    Lund University, Sweden.
    Maggio, Martina
    Lund University, Sweden.
    Terraneo, Federico
    Politecnico di Milano, Italy.
    Leva, Alberto
    Politecnico di Milano, Italy.
    A Dynamic Modelling Framework for Control-based Computing System Design2015In: Mathematical and Computer Modelling of Dynamical Systems, ISSN 1387-3954, E-ISSN 1744-5051, Vol. 21, no 3, p. 251-271Article in journal (Refereed)
    Abstract [en]

    This manuscript proposes a novel viewpoint on computing systems’ modelling. The classical approach is to consider fully functional systems and model them, aiming at closing some external loops to optimize their behaviour. On the contrary, we only model strictly physical phenomena, and realize the rest of the system as a set of controllers. Such an approach permits rigorous assessment of the obtained behaviour in mathematical terms, which is hardly possible with the heuristic design techniques, that were mainly adopted to date. The proposed approach is shown at work with three relevant case studies, so that a significant generality can be inferred from it.

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