Methods for Hybrid Modeling and Simulation-Based Optimization in Energy- Aware Production Planning | ISBN 9783903311114

Methods for Hybrid Modeling and Simulation-Based Optimization in Energy- Aware Production Planning

herausgegeben von an der Technischen Universität Wien 37 FBS FBS 37 Fortschrittsberichte Simulation Advances in Simulation ISBN print 978-3-903311-11-4 ISBN ebook 978-3-903347-37-3 DOI 10.11128/fbs.37 Methods for Hybrid Modeling and Simulation-Based Optimization in Energy-
Buchcover Methods for Hybrid Modeling and Simulation-Based Optimization in Energy- Aware Production Planning  | EAN 9783903311114 | ISBN 3-903311-11-1 | ISBN 978-3-903311-11-4

Methods for Hybrid Modeling and Simulation-Based Optimization in Energy- Aware Production Planning

herausgegeben von an der Technischen Universität Wien 37 FBS FBS 37 Fortschrittsberichte Simulation Advances in Simulation ISBN print 978-3-903311-11-4 ISBN ebook 978-3-903347-37-3 DOI 10.11128/fbs.37 Methods for Hybrid Modeling and Simulation-Based Optimization in Energy-
This thesis presents a hybrid discrete/continuous modelling approach and simulation implementation
based on the Discrete-Event System Specification (DEVS) for industrial production planning optimization.
The chosen hybrid modelling concept allows to accurately capture material flows within a production
system as discrete entities on one hand and continuous energy flows on the other hand, in the production
as well as for other domains, such as heating or cooling, up to the thermal building envelope. This enables
the user to assess the energy demand during production while also incorporating dynamic interactions
between production equipment and periphery. The method and implementation show structural advantages
in comparison with the alternative co-simulation approach. The author then combines this hybrid
simulation with a meta-heuristic optimization procedure for operative production planning. The
multi-objective problem takes into account overall energy efficiency as well as classical production goals
and also optimizes production set-up times in order to save energy.
To support efficient modelling of such hybrid simulations in practical applications, the author also designs
a domain-specific model abstraction level with modules, called Cubes, which allows to describe hybrid
simulation models in an intuitive and domain-specific way. The method is based on a model-driven engineering
process and defines a component-based meta-model for production systems. And last but not
least, the modelling and simulation concept is demonstrated on a practical application of a bakery factory.