Stephen Prince

Senior Advisor
Alexa Capital

Stephen is a Senior Advisor at Alexa Capital and responsible for expansion in North America. 

He brings over two decades of leadership experience of corporates and growth stage energy and technology companies. Stephen also serves on the board of Enerox CellCube, a pioneer in vanadium flow battery solutions headquartered in Austria.

Previous to Alexa Capital, Stephen was President of Centrica Business Solutions for North America where he led the deployment of distributed energy & power solutions across the US and Canadian markets. He has a wealth of experience drawn from executive and strategic roles at companies including Oracle Corporation, SAIC, Alliance Data Systems and Edison International as well as in growth stage technology businesses.

Stephen has successfully turned around several energy technology companies through strategic leadership and improved commercial execution. His expertise lies both in understanding the nuances of technology, deployment and business models across the energy sector as well as through an appreciation of how shareholders and institutional investors can realize returns from the energy transition and journey to net zero.

During his time as CEO of Younicos AG, a pioneer and global leader in energy storage, he secured $50 million in growth capital and managed a subsequent company sale to FTSE-250 group Aggreko plc.

Stephen holds a BSc in Accounting from California State University (Fullerton) & Master in Tax from Golden Gate University.

07 Oct
 - 14:45 Eastern Standard Time (EST)
Panel Discussion

Lithium ion is an important part of the power mix but its limits are apparent as the need for longer duration storage increases. This panel will assess longer duration storage and cut through the jargon to assess how bankability can be established with a much wider mix of technologies and criteria. We will investigate:

  • Merits and use cases of different technologies currently available
  • How are project sponsors able to predict revenue flows and how accurate are these predictions
  • What barriers exist to deployment and how can they be addressed?