While the analysis process described below may not accurately represent how renewables are going to be deployed in mixed grids, it does represent a simple standardized way to compare renewable deployments. All it requires is an hourly dataset of renewable production and a spreadsheet. The Google sheet formulas are published below. I’ll gladly help anyone to recreate this analysis for their geography.
#solarPV
#wind
#renewables
@icanbob From what I can make of it, you‘d be much cheaper off when you increase peak wind capacity, store less, and curtail excess production.
But in a realistic scenario, you’d continuously optimize across a mix of nuclear, hydro, solar, wind, biomass, and geo. Hydro would become a buffer, with fuel cells to generate electricity. There are notorious problem areas, like planes, that are still hard to electrify.
@hansbot In my Ontario PV study you can see what happens if solarPV array is doubled. A massive amount of seasonal storage per household is still required. Much as we may want to wish it so, overbuilding cannot cure what is fundamentally a seasonal load supply mismatch. Furthermore the economic case for the storage technologies you cited, for what amounts to a infrequent duty cycle, is similarly problematic. Do up the numbers for where you live and let’s compare.