• 4 minutes Energy Armageddon
  • 6 minutes How Far Have We Really Gotten With Alternative Energy
  • 10 minutes Russia Says Europe Will Struggle To Replace Its Oil Products
  • 7 hours GREEN NEW DEAL = BLIZZARD OF LIES
  • 5 hours Reality catching up with EV forecasts
  • 14 hours Famous author Michael Crichton talks about the "Climate Change Religion" aka Feudalism 2.0
  • 6 days 87,000 new IRS agents, higher taxes, and a massive green energy slush fund... "Here Are The Winners And Losers In The 'Inflation Reduction Act'"-ZeroHedge
  • 11 days A Somewhat Realistic View of the Near Future for Electric Vehicles Worldwide
  • 12 days "Natural Gas Price Fundamental Daily Forecast – Grinding Toward Summer Highs Despite Huge Short Interest" by James Hyerczyk & REUTERS on NatGas
Brian Westenhaus

Brian Westenhaus

Brian is the editor of the popular energy technology site New Energy and Fuel. The site’s mission is to inform, stimulate, amuse and abuse the…

More Info

Premium Content

Machine Learning Helps Create High-Performance Thermoelectric Devices

  • Engineers at the University of Notre Dame have created a machine-learning-assisted method to build high-performance thermoelectric devices.
  • The novel process uses intense pulsed light to sinter thermoelectric material in less than a second (conventional sintering in thermal ovens can take hours).
  • Flexible thermoelectric devices offer great opportunities for direct conversion of waste heat into electricity as well as solid-state refrigeration.

University of Notre Dame aerospace and mechanical engineers have developed a machine-learning assisted superfast new way to create high-performance, energy-saving thermoelectric devices. Yanliang Zhang, associate professor of aerospace and mechanical engineering at the University of Notre Dame, and collaborators Alexander Dowling and Tengfei Luo have developed the high-performance, energy-saving thermoelectric devices.

The paper reporting the milestone has been published in the journal Energy and Environmental Science.

The novel process uses intense pulsed light to sinter thermoelectric material in less than a second (conventional sintering in thermal ovens can take hours). The team sped up this method of turning nanoparticle inks into flexible devices by using machine learning to determine the optimum conditions for the ultrafast but complex sintering process.

Flexible thermoelectric devices offer great opportunities for direct conversion of waste heat into electricity as well as solid-state refrigeration, Zhang said. They have additional benefits as power sources and cooling devices – they don’t emit greenhouse gases, and they are durable and quiet since they don’t have moving parts.

ADVERTISEMENT

Despite their potential broad impact in energy and environmental sustainability, thermoelectric devices have not achieved large-scale application because of the lack of a method for fast and cost-effective automated manufacturing. Machine-learning-assisted ultrafast flash sintering now will make it possible to produce high-performance, eco-friendly devices much faster and at far lower cost.

Zhang offered, “The results can be applied to powering everything from wearable personal devices, to sensors and electronics, to industry Internet of Things. The successful integration of photonic flash processing and machine learning can be generalized to highly scalable and low-cost manufacturing of a broad range of energy and electronic materials.”

Related: Fire Erupts At Large Chevron Refinery In California

ADVERTISEMENT

Zhang is principal investigator of the Advanced Manufacturing and Energy Lab at Notre Dame. Dowling, assistant professor of chemical and biomolecular engineering, and Luo, the Dorini Family Professor for Energy Studies – both experts in machine learning – contributed to this research, along with doctoral student Mortaza Saeidi-Javash (now assistant professor at California State Long Beach), doctoral student Ke Wang and postdoctoral associate Minxiang Zeng (now assistant professor at Texas Tech University).

***

The hard data did make the abstract! “The films also show excellent flexibility with 92% retention of the power factor (PF) after 103 bending cycles with a 5 mm bending radius. In addition, a wearable thermoelectric generator based on the flash-sintered films generates a very competitive power density of 0.5 mW cm−2 at a temperature difference of 10 K.”

That’s pretty good for a technology that hasn’t been given a ton of research money. Flexible thermoelectric generation is really a pretty new field. Is it commercial? We’ll have to see if / when someone tries it. When it is tried lets hope its a resounding success and drives much more investment and progress,

By Brian Westenhaus via New Energy And Fuel

More Top Reads From Oilprice.com:


Download The Free Oilprice App Today

Back to homepage


ADVERTISEMENT


ADVERTISEMENT



Leave a comment

Leave a comment




EXXON Mobil -0.35
Open57.81 Trading Vol.6.96M Previous Vol.241.7B
BUY 57.15
Sell 57.00
Oilprice - The No. 1 Source for Oil & Energy News