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MCMC (Markov chain Monte Carlo) implements sampling distribution with dynamic simulation in accordance with system dynamics [14, 15].
The applications of dynamic simulation in LNG plants, including engineering studies and operator training simulator (OTS) are also presented in this chapter.
In conclusion, the study highlights current research efforts and future development potential of dynamic simulation in the field of thermal power generation.
Shortcomings and advantages of the applied calculation methods are discussed, and the importance of the dynamic simulation in nZEB design is pointed out.
The feasibility of the proposed micro-CHP unit is investigated by using a dynamic simulation in comparison to a conventional supply based on separate energy productions.
The thermal performance of the examined building was also numerically investigated, by means of dynamic simulation in order to consider improvement options.
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The model is implemented and a systematic analysis of the system is carried out, including its dynamic simulations in SIMULINK.
It is of significance to conduct dynamic simulations in order to achieve the successful and optimal design.
Furthermore, dynamic simulations in open loop mode are performed to analyze the transient behavior of the column system.
In this respect, multiphase computational fluid dynamic simulations, in the Eulerian multi-fluid framework, are able to predict the local bubble size distributions and, thus, the global fluid dynamics from the fluid flow conditions and by applying modeling closured.
A wider scope, a higher level of detail of building and thermal systems and the trend towards the use of dynamic simulations in real time are making these programs more computationally demanding.
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