brachunok

So for those here reading this trying to determine the validity of the work in question, there is a psudo-joke index called the “crackpot index” which is a good outline for determining whether something which rings alarm bells is actually suspect or not. http://math.ucr.edu/home/baez/crackpot.html

It’s meant as light humor, but does a good job of providing guidelines for evaluation.

@LiveWithEarth, can you elaborate on what your algorithm would do above a traditional optimization for renewable generation vs storage?

There is quite a bit of work already out there using linear programming or stochastic programming to develop scenario-bases renewable planning and dispatching decisions (even a whole conference: IEEE Probabilistic Method Applied to Power Systems) which is why I’m skeptical.

So what would your algorithm provide which I couldn’t get by formulating the total cost as a function of renewable generation and storage and using a commercial solver (AMPL,GAMS, Gurobi)?

It seems like the “algorithm” is just using a numerical method to solve a pricing equation based on empirical estimates of cost for renewable storage and generation?

Glancing at the code it looks like the “algorithm” is just a version of Newton’s method iterating to solve for the break even price for purchasing extra storage vs over capacitating a grid. I agree with your points that it’s a strange reframing of a non-problem...

Agreed. I’d assume this gets desk rejected by the airplane analogy in the introduction...

Scores highly here: http://math.ucr.edu/home/baez/crackpot.htm

There are 7/8 citations in the 35 page paper. I think this is crackpot territory