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As we demonstrated with our synthetic data sets, a tight coordination between experimental design and model formulation is required to maximize the effectiveness of these modeling studies.
The model formulation is verified using two-dimensional TCAD simulations.
A natural and common model formulation is non-convex, but we present an equivalent convex formulation.
The Smagorinsky model formulation is used to model the unknown turbulent stresses.
The computational efficiency of the proposed model formulation is investigated by different MILP solvers.
The proposed model formulation is believed to be superior to the available ones.
Hence, an alternative model formulation is used as no model for the air in the granules is needed.
The model formulation is first derived for three-phase flow of water, NAPL and air (or vapor) in porous media.
Consequently, the number of compartments in the model formulation is not free, but dictated as a function of transport parameters.
A new model formulation is proposed that comprises both CSTR and PFR model equations and the design problem is formulated as an optimal control problem.
The model formulation is a mixed-integer linear optimisation and can be understood as hybrid between a generation expansion and a unit commitment model.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com