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which the monolayer capacity, and adsorption parameters can be calculated; in
addition this method is more accessible. However, by compare of different model
and simulation methods, this model is subject to various limitations applied to
microporous carbons to calculating PSD in CNT-Textile composite, in our PhD
study case in future.
1.3 SIMULATION METHODS FOR MODELING PROBLEMS:
EXPECTATIONS AND ADVANTAGES
Simulation is the imitation of the operation of a real world or system over time to
develop a set of assumptions of mathematical, logical and symbolic relationship
between the entities of interest of the system, to estimate the measures of perfor-
mance of the system with the simulation generated data. Simulation modeling can
be used as an analysis tool for predicting the effects of changes to existing systems
as a design tool to predict the performance of new systems. Simulation enables the
study of, and experimentation with, the internal interactions of a complex system,
or of a subsystem within a complex system. Informational, organizational, and
environmental changes can be simulated, and the effect of these alterations on the
model's behavior can be observed. The knowledge gained in designing a simula-
tion model maybe of great value toward suggesting improvement in the system
under investigation. By changing simulation inputs and observing the resulting
outputs, valuable insight maybe obtained in to which variables are most important
and how variables interact. Simulation can be used as a pedagogical device to
reinforce analytic solution methodologies. Simulation can be used to experiment
with new designs or policies prior to implementation, so as to prepare for what
may happen. Simulation can be used to verify analytic solutions. By simulating
different capabilities for a machine, requirements can be determined. Simulation
is not appropriate in some cases include:
• When the problem can be solved using common sense and the problem can
be solved analytically.
• When it is easier to perform direct experiments and the simulation costs
exceed the savings.
• When the resources or time are not available and system behavior is too
complex or can't be defined.
• When there isn't the ability to verify and validate the model.
• Simulation is the appropriate tool in some cases include:
• Simulation can be used to experiment with new designs or policies prior to
implementation, so as to prepare for what may happen.
• Simulation can be used to verify analytic solutions and by simulating differ-
ent capabilities for a machine, requirements can be determined.
• Advantages of simulation include:
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