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Simulation and experimental results show that the developed model is able to predict the behaviour of the generator in short and long term scenarios.
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From the practical point of view, the analysis highlights the major fluid structure interaction effects on the dynamic behaviour of the steam generator; from the theoretical point of view, the study demonstrates the efficiency of the homogenisation method for periodic fluid structure problems modelling in industrial configurations.
A comparison between LES and RANS results shows that RANS simulation misrepresents the behaviour of the vortices generated by the vortex generators, which leads to an overestimation of pressure loss and thermal exchanges.
The behaviour of the AFPM wind generator is investigated for different wind conditions, through dynamic modeling and simulation.
In this way, 'gene talk' – here denoted by the phrase 'family link' – allowed John to interpret his son's behaviour not as the generator of his mental health problems, but rather as a kind of unwilled replay of the behavioural patterns of members of previous generations.
This paper presents a comparison between the structural behaviour of a wind generator with straight blades and a composite prototype of a wind generator with helical blades.
Typically, a grid code will specify the required behaviour of a connected generator during system disturbances.
The dynamics of the generators did not significantly affect the behaviour of the system, whereas smaller inertia values result in much worse CI values and system performance.
Due to the complexity of co-behaviours between generators, a copula-based approach is utilized to articulate the dependency structure of the generator outputs with regard to such factors as weather conditions.
A relatively simple scenario for the dynamics of interaction between the generators of expiratory and inspiratory signals produces pseudo-random behaviour of the type observed.
We first examine the behaviour of the system for typical inertia values ((H_1=6) s, (H_2=6) s), fast generators providing PFC and SFC and varying PRT values, whereas FMT was set equal to 0.1 s for both areas.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com