Eco Wave Power To Advance Digital Twin Platform

Eco Wave Power to Advance Digital Twin Platform

Eco Wave Power U.S. Inc., has entered into an agreement with Germany-based AI engineering GmbH to develop a physics- and data-driven digital twin platform for Eco Wave Power’s proprietary wave energy technology.

The collaboration advances Eco Wave Power’s strategy to integrate artificial intelligence, physics-based simulation, machine learning and digital twin technology into the design, monitoring and optimization of its wave energy systems.

The companies have commenced Phase 1 of the project which will focus on digitally modeling how ocean waves interact with Eco Wave Power’s proprietary floaters. Using AI engineering’s PAMICS simulation technology, the companies will evaluate floater behavior, structural loads and theoretical energy input under different sea conditions.

The companies also plan to compare simulated results with real-world sensor measurements and begin developing machine-learning capabilities for forecasting energy yield and system loads.

A key objective is to determine how the digital twin can be adapted to different project locations, potentially allowing Eco Wave Power to transfer engineering knowledge and operational insights more efficiently as it expands into new markets.

“For us, AI is not simply a software layer that we add to our technology—it is an opportunity to fundamentally improve how we understand, design, predict and ultimately operate wave energy systems,” said Inna Braverman, Founder and CEO of Eco Wave Power.

Eco Wave Power believes artificial intelligence presents two complementary opportunities for the company: to make its proprietary wave energy technology increasingly intelligent, predictive and scalable; and to position wave energy as a potential renewable energy source for the rapidly growing electricity requirements associated with artificial intelligence, data centers and digital infrastructure.

Both Eco Wave Power U.S. and AI engineering are members of the NVIDIA Inception program.

AI engineering GmbH specializes in applied fluid mechanics, numerical flow simulation and high-performance computing. Its PAMICS technology is a particle-based multi-physics simulation framework designed for complex fluid-dynamics and fluid-structure interaction applications.

“Wave energy is a particularly challenging engineering problem because it combines complex free-surface fluid dynamics, structural motion, and highly variable environmental conditions. Our goal is to create a physics-based digital representation of Eco Wave Power’s system that links high-fidelity simulation with operational data. This approach allows us to better understand energy capture, structural loading, and system behavior across a wide range of sea states. Over time, combining these physics models with machine learning can support more accurate forecasting, design optimization, and scalable deployment of wave energy technology,” said PD Dr.-Ing. habil. Stefan Adami, Co-Founder and General Manager of AI engineering GmbH.

Eco Wave Power currently has projects and development activities across the United States, Europe and Asia, including its grid-connected project at Jaffa Port in Israel, its Port of Los Angeles pilot, and projects under development in Portugal, Taiwan and India.

“Our physical technology converts waves into electricity. Our objective now is to build the digital intelligence around that technology,” Braverman concluded.

“As our projects grow from pilot installations toward megawatt-scale deployment, we believe Digital Twins and AI can help us learn faster, optimize more efficiently and transfer knowledge from one project to the next.”