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Index/Ops/The Operations Podcast with Fexingo
The Operations Podcast with Fexingo artwork

How a Steel Mill Cut Furnace Energy by 25 Percent with Digital Twins

The Operations Podcast with Fexingo · 2026-07-17 · 8 min

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Topics in this episode

NucorElectric arc furnaceDigital Twinenergy consumptionsteel mill

Episode notes

Episode 119 of The Operations Podcast with Fexingo. Lucas and Luna dive into the specific case of Nucor's Crawfordsville, Indiana mini-mill, which used digital twin technology to simulate its electric arc furnace and optimize power usage in real time. They break down how the model integrates sensor data, predicts temperature distributions, and adjusts electrode positioning to reduce energy consumption by 25 percent while maintaining melt quality. The conversation covers the three prerequisites for success: accurate sensor calibration, a physics-based model rather than a pure black-box AI, and operator buy-in through visual dashboards. Lucas explains why this approach works better for continuous processes than batch operations, and Luna questions whether the model can transfer to older mills. A concrete, numbers-driven look at how digital twins move from hype to measurable operational savings.

Related episodes across the Index

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  • From Sales to Spare Parts - Festo´s AI solutionsIndustrial AI Podcast · on Digital Twin80 / 100
  • Big River 2: The Mill that LearnsSteel Stories by U. S. Steel · on Electric arc furnace61 / 100
  • The Geothermal Breakthrough: Heating Homes Smarter, Cheaper, and Cleaner with Dan YatesHardware to Save a Planet · on energy consumption
  • Introducing Jim², my digital twin that is here for you 24/7/365Jim A. James & The UnNoticed Entrepreneur · on Digital Twin

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