Simulation and optimization tools in paper machine concept design
Linnala, Mikko (2012-11-16)
Väitöskirja
Linnala, Mikko
16.11.2012
Lappeenranta University of Technology
Acta Universitatis Lappeenrantaensis
Julkaisun pysyvä osoite on
https://urn.fi/URN:ISBN:978-952-265-283-6
https://urn.fi/URN:ISBN:978-952-265-283-6
Tiivistelmä
The last decade has shown that the global paper industry needs new processes
and products in order to reassert its position in the industry. As the paper
markets in Western Europe and North America have stabilized, the competition
has tightened. Along with the development of more cost-effective processes and
products, new process design methods are also required to break the old molds
and create new ideas.
This thesis discusses the development of a process design methodology based
on simulation and optimization methods. A bi-level optimization problem and a
solution procedure for it are formulated and illustrated. Computational models
and simulation are used to illustrate the phenomena inside a real process and
mathematical optimization is exploited to find out the best process structures
and control principles for the process. Dynamic process models are used inside
the bi-level optimization problem, which is assumed to be dynamic and
multiobjective due to the nature of papermaking processes.
The numerical experiments show that the bi-level optimization approach is
useful for different kinds of problems related to process design and
optimization. Here, the design methodology is applied to a constrained process
area of a papermaking line. However, the same methodology is applicable to all
types of industrial processes, e.g., the design of biorefiners, because the
methodology is totally generalized and can be easily modified.
and products in order to reassert its position in the industry. As the paper
markets in Western Europe and North America have stabilized, the competition
has tightened. Along with the development of more cost-effective processes and
products, new process design methods are also required to break the old molds
and create new ideas.
This thesis discusses the development of a process design methodology based
on simulation and optimization methods. A bi-level optimization problem and a
solution procedure for it are formulated and illustrated. Computational models
and simulation are used to illustrate the phenomena inside a real process and
mathematical optimization is exploited to find out the best process structures
and control principles for the process. Dynamic process models are used inside
the bi-level optimization problem, which is assumed to be dynamic and
multiobjective due to the nature of papermaking processes.
The numerical experiments show that the bi-level optimization approach is
useful for different kinds of problems related to process design and
optimization. Here, the design methodology is applied to a constrained process
area of a papermaking line. However, the same methodology is applicable to all
types of industrial processes, e.g., the design of biorefiners, because the
methodology is totally generalized and can be easily modified.
Kokoelmat
- Väitöskirjat [1037]