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And a related discussion about starting to deploy electrolyzers for green hydrogen production. This is unexpectedly sticky, because there's a fight right now over whether *all* electrolysis derived hydrogen should qualify as "green" -- regardless of where the electricity came from (and get the huge new $3/kg tax credit).
For *lots* of reasons, we need to understand the time and location specific emissions intensity of electricity.
https://www.volts.wtf/p/whats-the-deal-with-electrolyzers#details
The Open Grid Emissions Initiative, which uses #CatalystCoop #PUDL data as one of its main inputs, is trying to do this for historical analyses. Even if it's never useful for dispatching demand, it'll be hugely valuable for modeling the feasibility of 24/7 renewables.
But then you also need time and location specific electricity pricing data. There's a promising new open source python library that's trying to provide a uniform API for the ISO/RTO data called GridStatus, from Max Kantor:
He's put up some demonstration dashboards based on the API data here: