Eco Wave Power has announced that it is advancing discussions with Florida Atlantic University (FAU) and the University of Michigan on the development of AI-powered wave energy applications, including its WaveGPT platform and a wave-powered coastal data centre concept aimed at supporting growing artificial intelligence energy demand.
The discussions took place during a strategic meeting at FAU involving specialists in marine renewable energy, artificial intelligence, digital twins, electrical engineering, ocean engineering and energy systems optimisation.
The initiative is focused on two areas. The first is the continued development of WaveGPT, Eco Wave Power’s AI-driven operational intelligence platform, which is designed to analyse real-time operational data from the company’s wave energy installations through predictive analytics, forecasting, anomaly detection, performance optimisation and digital twin technologies.
As part of this work, Eco Wave Power recently submitted a TEAMER application with FAU focused on data-driven energy flow mapping, operational intelligence and predictive analytics for its wave energy technology. The project aims to use AI methodologies to improve system performance, operational planning and future commercial deployment.
The second area involves a potential grant application by Eco Wave Power, FAU and the University of Michigan to develop a wave-powered, AI-optimised coastal data centre concept. The proposal would combine wave energy generation, energy storage, advanced cooling technologies, digital twins and intelligent workload management within a single platform designed for future coastal AI and edge-computing infrastructure.
According to Eco Wave Power, the concept is based on the expectation that future data centres will require greater electricity supply alongside advanced energy management and cooling systems. The company said coastal locations could provide opportunities to integrate renewable energy generation with seawater-assisted cooling technologies.
The proposed platform would use AI-driven digital twins to forecast wave conditions, computing workloads, cooling requirements, storage availability and grid conditions in real time to optimise operations across the energy, water and computing system.
Participants in the discussions included Dr Yufei Tang, Director of the Florida Power & Light Center for Intelligent Energy Technologies (InETech) at FAU; Dr James VanZwieten, Director of the Southeast National Marine Renewable Energy Center (SNMREC) at FAU; Gabriel Alsenas, Associate Director of SNMREC and InETech; Dr Sasha Fung, Postdoctoral Researcher at FAU; Professor Lei Zuo of the University of Michigan; Louis King; and Wei-Ying Wong.
“Artificial intelligence is transforming how energy systems are designed, monitored, and optimized,” said Dr. Yufei Tang, Director of the FPL Center for Intelligent Energy Technologies (InETech) at Florida Atlantic University. “By combining marine renewable energy, advanced digital twins, predictive analytics, and intelligent control systems, we have an opportunity to develop next-generation energy infrastructure that is both sustainable and adaptive to rapidly evolving energy demands. We are excited to explore these research opportunities with Eco Wave Power and our academic partners.”
Inna Braverman, Founder and Chief Executive Officer of Eco Wave Power, said: “AI is expected to become one of the largest drivers of electricity demand in the coming decade. We believe wave energy can play a meaningful role in supporting the next generation of coastal digital infrastructure. By combining wave energy, AI optimization, advanced cooling technologies, and digital twins, we are exploring how renewable energy can directly support the rapidly expanding needs of AI-driven data centers and edge computing facilities.”
Eco Wave Power said the proposed initiatives form part of its broader strategy to integrate artificial intelligence, predictive analytics, digital twins and renewable energy generation into future energy infrastructure.
The company noted that discussions and grant applications remain subject to review, funding approvals and final agreements between the parties.
