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The Vw3D was also enhanced to be able to handle 1000 arbitrary H/C (and also O/C) ratios without changing the code in any appreciable way. The “signal” also enables the user to use arbitrary or estimated, not measured H/C ratios. Both the Vw3D and Vw are defined with dimensionality of 2-D (not an actual square matrix).
vwgrid_calc.py is a python script that allows the calculation of the output from “ A vw grid calculator ”. This calculator produces grids of species numbers and concentrations over a specified 2 dimensional grid (height and width). The column is discretized into 50 grid points in the x direction and 20 grid points in the y direction. In addition to solving the forward equation for the grid, and outputting the grids on the specified output grids, it also outputs the grid data in a txt file. The file name is specified by the output grid filename input parameter. This is a requirement since the calculator needs to create several grids over time (to always calculate a fixed area on the output grid), and we don’t want the new grids to overwrite the old ones.
The Simulink-CDC software also works in many cases with the measured and estimated volatiles but using real data implies a higher signal-to-noise ratio and a longer run time. The carbon production model runs into the limits on the cycle time and cannot be run in real time. Also, the CDC runs much faster. The DC code is also much faster than the Simulink-CDC, and is able to calculate these estimates in much less time (i.e. several minutes vs several hours). A large part of this disparity is due to the fact that the CDC uses generic constants (as opposed to specific coefficients) that are used to calculate the carbon production rate. The CDC code is also much more forgiving of inaccurate data, including the use of estimated data and/or non-measured species, because it can accept an arbitrary number of species. d2c66b5586