Eco Wave Power to Advance Digital Twin Platform for Wave Energy

Eco Wave Power has entered into an agreement with Germany-based AI engineering GmbH to develop a physics- and data-driven digital twin platform for its proprietary wave energy technology. The collaboration advances the company's strategy to integrate artificial intelligence, physics-based simulation and machine learning into the design and optimisation of its wave energy systems. The first phase will focus on digitally modelling how ocean waves interact with the company's proprietary floaters under different sea conditions.

 

Details of the Agreement

 

Eco Wave Power has formed a new partnership. It agreed a deal with AI engineering GmbH. The German firm will help develop a platform. This is a physics- and data-driven digital twin. It supports the company's wave energy technology.

The collaboration advances a broader strategy. The company aims to integrate artificial intelligence. Physics-based simulation is also part of this. Machine learning and digital twins feature too. These apply to design, monitoring and optimisation.

 

The First Phase

 

The project has begun its initial phase. Phase 1 has commenced work. It focuses on digital modelling. This concerns how waves interact with floaters. These are the company's proprietary floaters.

The phase uses specific simulation technology. It employs the partner's PAMICS technology. This evaluates floater behaviour and structural loads. It also assesses theoretical energy input. This applies across different sea conditions.

 

The Development Goals

 

The project has several objectives. It will compare simulated results with real data. This uses real-world sensor measurements. It will also develop machine-learning capabilities. These support forecasting of energy yield and loads.

A key aim concerns adaptability. The team wants to adapt the digital twin. This would suit different project locations. It could transfer engineering knowledge efficiently. This would aid expansion into new markets.

 

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The Value of AI

 

The company sees AI as fundamental. Leadership stressed it is not just software. It is an opportunity to improve understanding. This spans design, prediction and operation. This reflects a deep integration of AI.

The company identifies two AI opportunities. One is making its technology more intelligent. This would make it predictive and scalable. The other positions wave energy for AI demand. This includes data centres and digital infrastructure.

 

The Technical Challenge

 

Wave energy poses distinct engineering challenges. It combines complex fluid dynamics. Structural motion adds to this. Variable environmental conditions complicate it further. These factors make it difficult to model.

The partner brings relevant expertise. It specialises in fluid mechanics and simulation. Its technology is a multi-physics framework. This suits complex fluid-structure interactions. It links high-fidelity simulation with operational data.

 

Significance for the Company

 

The project supports the company's growth. Its projects span the US, Europe and Asia. These include a grid-connected project in Israel. A Los Angeles pilot is also underway. Projects are developing in Portugal, Taiwan and India.

The digital intelligence complements the physical technology. The company converts waves into electricity. It now aims to build digital intelligence around this. As projects scale up, this could aid learning. It would help optimise and transfer knowledge between projects.