4.1 Selection and Evaluation of Relevant Research Approaches
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visualization module to present pareto-optimal energy saving solutions graphically to the production planners. Baumann et al. aim at the automated detection
of feasible loading sequences and batch sizes, optimized set-up times, as well as
the avoidance of peak demands in energy consumption [Ba+2016, p. 124].
Summarizing the research approaches in the field of optimization of the energy
demand, two main methodological strategies of the researches can be identified.
On the one hand, the effective scheduling and planning of machine start-ups and
shutdowns as well as the usage of non-productive times is addressed as the main
optimization potential. On the other hand, the energy usage is minimized by analyzing energy consumption of single machines and components and choosing
process alternatives for industrial processes.
4.1.3 Studies on Simulation-Based Modeling of the Energy
Demand in Production Systems
The simulation-based modeling of energy demand in production is a method
for assessing the dynamics of production processes. To keep the production
permanently on its optimum energy level, an ideal simulation approach has to
consider all relevant energy flows with sufficient accuracy. Fulfilling the abovementioned limitations for the paper selection process, eleven research papers
remain relevant for the intersection II. All authors justify the selection of a
simulation-based approach to model the energy use by the rising complexity of
production processes that can hardly be evaluated in any other way. The reviewed
publications aim at creating a pragmatic tool for supporting the production
planning and control.
The majority of research approaches published in the field of energy flow
simulation for production systems involves discrete event simulation. They will
be shortly summarized in chronological order according to the year of publication
followed by hybrid simulation approaches later in this section.
Solding and Petku developed a methodology following the DES approach,
focusing on the reduction of energy use as well as on avoidance of energy peaks in
energy-intensive industries [SP2005]. They carried out several simulation studies
in various industries modeling the state-based consumption behavior of machines
by extending conventional simulators through additional programming within the
simulation tool. By adding parameters to the simulation model, they created an
accurate model for energy reduction, load management measures as well as the
decision support for changing and combining different energy carriers.
75
visualization module to present pareto-optimal energy saving solutions graphically to the production planners. Baumann et al. aim at the automated detection
of feasible loading sequences and batch sizes, optimized set-up times, as well as
the avoidance of peak demands in energy consumption [Ba+2016, p. 124].
Summarizing the research approaches in the field of optimization of the energy
demand, two main methodological strategies of the researches can be identified.
On the one hand, the effective scheduling and planning of machine start-ups and
shutdowns as well as the usage of non-productive times is addressed as the main
optimization potential. On the other hand, the energy usage is minimized by analyzing energy consumption of single machines and components and choosing
process alternatives for industrial processes.
4.1.3 Studies on Simulation-Based Modeling of the Energy
Demand in Production Systems
The simulation-based modeling of energy demand in production is a method
for assessing the dynamics of production processes. To keep the production
permanently on its optimum energy level, an ideal simulation approach has to
consider all relevant energy flows with sufficient accuracy. Fulfilling the abovementioned limitations for the paper selection process, eleven research papers
remain relevant for the intersection II. All authors justify the selection of a
simulation-based approach to model the energy use by the rising complexity of
production processes that can hardly be evaluated in any other way. The reviewed
publications aim at creating a pragmatic tool for supporting the production
planning and control.
The majority of research approaches published in the field of energy flow
simulation for production systems involves discrete event simulation. They will
be shortly summarized in chronological order according to the year of publication
followed by hybrid simulation approaches later in this section.
Solding and Petku developed a methodology following the DES approach,
focusing on the reduction of energy use as well as on avoidance of energy peaks in
energy-intensive industries [SP2005]. They carried out several simulation studies
in various industries modeling the state-based consumption behavior of machines
by extending conventional simulators through additional programming within the
simulation tool. By adding parameters to the simulation model, they created an
accurate model for energy reduction, load management measures as well as the
decision support for changing and combining different energy carriers.