Assoc VP Modeling, Mapping & Analytics @EnvDefenseFund. Creator of Switch model—shows how to build clean, reliable, low-cost power systems. Opinions are my own.
Our paper (@MatthiasFripp@imelda_econ) on how much real-time pricing lowers the cost of clean energy integration in Hawai'i was finally published in AEJ Policy.
Cleaner is cheaper, especially with RTP!
So why can't we just do this?
https://t.co/TKNQFNOTic
Also, if you're thinking DAC could be our salvation, how do you intend to pay for it? A fee on emissions, to pay for cleanup later? But if that fee is high enough to pay for DAC ($160-$200/tCO2), smart power system operators will first ... do all the things that cost less. /end
I don't know who needs to hear this, but even if we were all gung ho on direct air capture of CO2 and could do it for less than the social cost of CO2 emissions, that doesn't mean we'd want to continue business as usual and just pay for DAC on the back end. /1
This makes sense because these changes are—by definition—cheaper than DAC. Why emit at current rates and then pay $160-$200/tCO2 to clean up all those tons, when you could avoid them at a lower cost by building a better power system? /3
@ELPinchbeck Insulate and seal leaks, but also add heat-recovery ventilation. That will help with humidity and make sure CO2 is cleared out (prevent that stuffy feeling).
👀This isn't just about electricity planning models.
It's an intercomparison of4⃣open-source, state-of-art models, and a data pipeline that feeds them. Replicable, extensible.
There's more coherence and similarity in findings than any intercomparison I've seen.
RSVP!
Join our virtual #ClimateWeekNYC event next week to learn how electricity planning models work and how they can play a part in our journey to 100% clean energy 💡. RSVP: https://t.co/9FcWc5sfZc
The NYC Climate Week event will present our work with researchers from @Princeton, @CarnegieMellon, @UHawaiiNews & more to make these models more approachable and demystify this type of modeling. https://t.co/9FcWc5sfZc
@PaledOchre@littmath Overall there's a 1/3 chance of getting the rigged coin, but the flip partitions the possibilities into "tails" world or "heads" world. In tails world, it's never a rigged coin. In "heads" world, it's a rigged coin half the time.
@PaledOchre@littmath Your flip ruled out the other 2/6 cases: a fair coin that gives tails. So you know you're in "heads" world, and in that world, there's a 50/50 chance you used a rigged coin.
@dr_alphalyrae They have a lock on engineering education and then professional engineering as a follow-on. Part of that is having good packages that align with textbooks but the other part is most engineering textbooks assume you'll use Matlab to do the exercises. It takes time to change.
@kjoshanssen Unless I'm misreading it, your probability of getting at least one precious metal is 100% either way. And there's some unknown probability of getting another precious metal or something else of value. Only difference is one answer has two boxes and one answer has one.
@GlobalEcoGuy He wants people to start living on Mars or Proxima Centauri b, so maybe he thinks we are resilient enough to handle a 1000 ppm Earth. But that's a big part of what's wrong with him—he doesn't care about harm to people or nature short of actual human extinction.
@evanewashington They're a transformation from the real world into another number system and back that happens to make some calculations much easier. This is common in science, engineering and math, e.g., phasors, Laplace transform, etc. As long as you only use the real-world output, you're fine.
@xiaowang1984 "Foreseeable future" is doing a lot of work here. In my experience, grid operators don't often push themselves as hard as they could to foresee a future without much thermal power. You can do a lot with wind, solar, batteries, grid forming inverters and occasional thermal plants.