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Topic: Linear Programming

[Episode #29] – Grid Simulation and Wind Potential

Full Episode

What combination of power generators on the U.S. grid produces reliable power at the lowest cost? Or, what’s the most renewable energy that can be deployed at a given grid power cost, and what kind of transmission capacity is needed to support it? How would the U.S. grid be different if it were one, unified grid with more high-voltage direct current (HVDC) transmission capacity? What’s the most productive design for a wind farm? How might weather and a changing climate affect future electricity production from wind and solar farms? And how much renewable power is really feasible on the U.S. grid?

These have been devilishly difficult questions to answer, but now advanced mathematical simulations are beginning to make it possible to answer them much more quickly…and if quantum computing becomes a reality, we could answer them instantly.

In an homage to Comedy Central’s Drunk History, this episode features a conversation conducted over several pints of IPA with a mathematician who recently developed such a simulator while he was working at NOAA (the National Oceanic and Atmospheric Administration) in Boulder, CO. His insights on how the grid of the future might actually function are fascinating, and will likely shatter some of your pre-existing beliefs. It also contains a few nuggets for the serious math geeks out there.

Geek rating: 8

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