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All the differences due to the real gas formulation compared to the perfect gas formulation proposed in [3] are emphasized.
This mathematical approach integrates the mean-line modelling with real gas formulation and GA genetic algorithm) optimisation technique.
The integrated power and gas formulation with security constraints (1)–(5) presented in Section 2 is a nonlinear, non-convex, large-scale, and NP-hard problem that is considered difficult to solve.
In this methodology, the mean-line modelling coupled with real gas formulation is employed to perform parametric studies to identify the key variables that have significant effect on the turbine efficiency.
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To achieve accurate prediction, the ORC/turbines model uses real gas formulations based on the REFPROP database.
As the dimensionless parameters of these approaches are found to yield discrepancies on the compressor performance, a revised approach that incorporates real gas formulations into turbomachinery key similarity parameters has been finally proposed.
This section presents a simplified and tractable dynamic gas network formulation with pre- and post-contingency constraints (4) and (5) respectively.
By using a multi-dimensional gas kinetic formulation, we can obtain a spatial and temporal dependent gas distribution function for the flux integration inside the cell and at the cell interface, which is distinguishable from the Gaussian Quadrature point flux evaluation in the traditional DG method.
Efforts have been made to develop gas flux formulations for porous media based on the previous results for micro/nano-tubes (Civan 2010; Javadpour 2009).
Due to its multidimensional gas-kinetic formulation and the coupling of inviscid and viscous terms, even with unstructured meshes, the boundary layer solution and vortex structure can be accurately captured by the current scheme.
Due to the coupling of the scalar function into the gas-kinetic formulation, the governing equations for the scalar function turns out to be an advection diffusion equations and the diffusive coefficient can be controlled by the particle collision time, which makes the current scheme suitable for the gas mixing problems with a controllable diffusion coefficients.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com