I will try to give a politically correct answer then an answer following the circumstances.
Equations and simulations are useful to help companies to elaborate then improve a project, make some predictions, avoid unnecessary manufacturing work. Power curves are the key test reports, simulations helping to see the correlation with the measurements. Balancing between metrics (power curves in first) and equations is useful.
I agree with @Kitewinder about the high imbalance between metrics and equations. Indeed take all the AWE publications over the years: equations galore versus very few power curves. I looked for some, but only found: figures 15 and 18, video from 3:07, table 8, that is, less than the fingers of one hand.
On the other hand (!), to my knowledge, there is not a single scientific study on Kiwee, which is the only AWES on the market. Moreover, it is not said that it would be necessary, since the system has been built and works well, and the power curves are known even if they are not formalized.
This topic does not go against the equations and scientific studies, but it may have to be recognized that a judicious choice of themes will be necessary for what remains of the AWE wave, such like a functional design which has yet to be found. And power curves showing actual measurements should increase (even when they are not very favorable), and cover the intensity of production over time.