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I think they will continue to change as you increase n. Our idea was to calibrate the value of n to the actual data on column operation to match the actual amount of dispersion occurring experimentally.casualguitar said:Hi Chet, my apologies for the delay. I was running a few simulations for various values of n. Anything greater than n=10 takes considerable time now. n=30 took 24 hours actually.

Anyway, I wanted to do a 'grid independence' study of sorts. If you run hot air through the bed for x amount of time, we get a thermocline in the bed. I did this for n=5,10,20, and 30 and here are the results. Clearly increasing n results in a 'tighter' thermocline or a sharper drop from high temperature to low:

n=5:

View attachment 315477

n=10:

View attachment 315478

n=20:

View attachment 315479

n=30:

View attachment 315480

I'm running higher n now (n=100) however this will take a few days. The goal of this analysis is to 1) find the value of n where the output plots stop changing i.e. grid independence and 2) to quantify the losses in the bed across a charge/discharge cycle i.e. if we discharge for 100s and then charge for 100s, how close to we get to the original temperature profile?

No questions on this, just updating