Summary
This book presents a methodology for the integration of energy aspects into production simulation. The aim of this work is to realistically represent the energy
consumption of production plants in a simulation model in order to be able to use
it for the simulation-based optimization of energy efficiency and thus to ensure a
comprehensive process quality with regard to the optimal use of the factor energy
in the production process.
For this purpose, a hybrid simulation approach is developed, which combines different simulation paradigms in one single model. The hybridization of
simulation models offers the model creator great flexibility in the detection of
problems that are simultaneously related to discrete (material flow) and continuous (energy flow) structures. In a second step, the simulation model is used
for optimization experiments. The basic idea behind this approach is to find an
optimal solution for the optimization parameters being varied through several iterations to simulate different system configurations. The simulation is started by
the optimization, delivers the result data and forms the basis for an evaluation
of the dynamic behavior of the mapped production system. In this way, optimal
parameter configurations can be determined with regard to the set target function
using the simulation model.
The methodology developed in this work is thus divided into two modules, a
simulation and an optimization module. The simulation module is divided into
three components, a material flow, a machine and an energy component. This
allows the production processes to be depicted on all necessary levels in one simulation model. Following the standard procedure in industry for the creation of a
production simulation model, a material flow component is defined in which the
production processes are represented discretely and process-oriented. The material flow model includes all electrical consumers that are directly involved in the
xi
This book presents a methodology for the integration of energy aspects into production simulation. The aim of this work is to realistically represent the energy
consumption of production plants in a simulation model in order to be able to use
it for the simulation-based optimization of energy efficiency and thus to ensure a
comprehensive process quality with regard to the optimal use of the factor energy
in the production process.
For this purpose, a hybrid simulation approach is developed, which combines different simulation paradigms in one single model. The hybridization of
simulation models offers the model creator great flexibility in the detection of
problems that are simultaneously related to discrete (material flow) and continuous (energy flow) structures. In a second step, the simulation model is used
for optimization experiments. The basic idea behind this approach is to find an
optimal solution for the optimization parameters being varied through several iterations to simulate different system configurations. The simulation is started by
the optimization, delivers the result data and forms the basis for an evaluation
of the dynamic behavior of the mapped production system. In this way, optimal
parameter configurations can be determined with regard to the set target function
using the simulation model.
The methodology developed in this work is thus divided into two modules, a
simulation and an optimization module. The simulation module is divided into
three components, a material flow, a machine and an energy component. This
allows the production processes to be depicted on all necessary levels in one simulation model. Following the standard procedure in industry for the creation of a
production simulation model, a material flow component is defined in which the
production processes are represented discretely and process-oriented. The material flow model includes all electrical consumers that are directly involved in the
xi