4.2 Comparison of Results and Discussion
83
energy and material flow system in a hybrid simulation method, which is only
mentioned but not described in detail. So far, the approach has only been tested
with a simplified production line, as restrictions to limit the search space for the
optimization have to be found for a successful implementation.
Summarizing the papers of intersection IV, different approaches to simulate
the energy consumption in production systems combined with optimization techniques are presented. While the DES-based approach combined with a peak-load
optimizer is suitable to calculate the optimum start and shut down times for
robots, the combined simulation approach together with the optimization library
OptQuest™ focuses on the detection of potential energy improvements throughout the whole production process. The concepts of simulation model coupling in
combination with an operating state optimizer, as well as the creation of an APS
tool chain containing an optimization module support the real time monitoring
and parameter adaptations to optimize the energy use and the production process
costs. Approaches that focus on the continuous presentation of energy consumption in a production simulation together with the discrete material flows and that
could optimize in the same software solution have not been found.
4.2
Comparison of Results and Discussion
All publications mentioned in this literature review present new approaches in
the research field of energy efficiency in production. Mentioned in all papers,
the top motivation for the researchers is the changing importance towards the
sustainable use of resources, mainly initiated by debates on global warming, rising
energy costs, and resource depletion. For most approaches, the consideration of
the energy consumption is generally based on measured operating states, which
are considered to be constant over a defined period of time. The defined system
boundaries are varying throughout the papers, reaching from the consideration of
a multi-step production machine to a whole production facility including technical
building services and peripheral production equipment. Regardless of the chosen
system boundaries, the efforts of the data acquisition and evaluation as well as the
model generation for all optimization and simulation models have been described
as complex and time-consuming. The use of continuous simulation approaches
for the depiction of a dynamic energy consumption pattern is rarely used.
After having analyzed all papers, three main concepts for the reduction of
the energy use can be distinguished. Firstly, the optimization of machine control functionalities provides energy saving potentials, e.g., the efficient use of
non-productive times or the peak-load avoidance. Secondly, by varying process
83
energy and material flow system in a hybrid simulation method, which is only
mentioned but not described in detail. So far, the approach has only been tested
with a simplified production line, as restrictions to limit the search space for the
optimization have to be found for a successful implementation.
Summarizing the papers of intersection IV, different approaches to simulate
the energy consumption in production systems combined with optimization techniques are presented. While the DES-based approach combined with a peak-load
optimizer is suitable to calculate the optimum start and shut down times for
robots, the combined simulation approach together with the optimization library
OptQuest™ focuses on the detection of potential energy improvements throughout the whole production process. The concepts of simulation model coupling in
combination with an operating state optimizer, as well as the creation of an APS
tool chain containing an optimization module support the real time monitoring
and parameter adaptations to optimize the energy use and the production process
costs. Approaches that focus on the continuous presentation of energy consumption in a production simulation together with the discrete material flows and that
could optimize in the same software solution have not been found.
4.2
Comparison of Results and Discussion
All publications mentioned in this literature review present new approaches in
the research field of energy efficiency in production. Mentioned in all papers,
the top motivation for the researchers is the changing importance towards the
sustainable use of resources, mainly initiated by debates on global warming, rising
energy costs, and resource depletion. For most approaches, the consideration of
the energy consumption is generally based on measured operating states, which
are considered to be constant over a defined period of time. The defined system
boundaries are varying throughout the papers, reaching from the consideration of
a multi-step production machine to a whole production facility including technical
building services and peripheral production equipment. Regardless of the chosen
system boundaries, the efforts of the data acquisition and evaluation as well as the
model generation for all optimization and simulation models have been described
as complex and time-consuming. The use of continuous simulation approaches
for the depiction of a dynamic energy consumption pattern is rarely used.
After having analyzed all papers, three main concepts for the reduction of
the energy use can be distinguished. Firstly, the optimization of machine control functionalities provides energy saving potentials, e.g., the efficient use of
non-productive times or the peak-load avoidance. Secondly, by varying process