• CERAWEEK 2025 | March 10-14, 2025
  • CERAWEEK
  • March 10 - 14, 2025

Matthew Senesky

Amber Kinetics

General Manager, US Operations & VP of Engineering

As Amber Kinetics’ Vice President of Engineering, Matthew Senesky manages all aspects of R&D and product development. As one of the company’s first employees, Dr. Senesky built and now leads a team of world-class engineers who have taken Amber Kinetics’ flywheel technology from its first generation prototype to commercially available systems. In addition, Dr. Senesky developed the company’s original electronics package and contributed to the architecture and product configuration of the first Amber Kinetics flywheel units. Dr. Senesky collaborated on early flywheel research at the University of California, Berkeley which formed the basis of Amber Kinetics’ technology and is now deployed globally.
 
Before joining Amber Kinetics, Dr. Senesky was part of Texas Instruments’ Kilby Labs corporate R&D group, with a focus on power electronics for renewable energy and energy storage. From 2007 to 2009, he worked for Tesla Motors as part of the team that released the groundbreaking Tesla Roadster. Dr. Senesky received A.B. and B.E. degrees from Dartmouth College, and M.S. and Ph.D. degrees from the University of California, Berkeley.

Sessions With Matthew Senesky

Thursday, 12 March

  • 12:30pm - 01:20pm (CST) / -

    Innovations in Long-duration Energy Storage
    Clean Tech

    With over half of US states adopting renewable energy goals, and countries across the world setting ambitious renewable targets, the need for long-duration bulk storage is becoming pressing as evidenced by ever-increasing amounts of curtailed renewable electricity. Matching abundant, low-cost, renewable generation supply with demand throughout the year requires longer-duration storage, including multi-day and seasonal storage. Without significant deployment of long-duration storage, clean energy policy goals will not be met. What technologies will play the greatest role in providing long-duration storage? How can we best value the reliability provided by long-duration storage?