Offshore wind energy,
digitally twinned
for reliability

Funded by
the European Union

OUR AMBITION

We are developing a digital twin to forecast offshore wind power production. Aimed at ensuring greater energy reliability and security, the digital twin will seamlessly integrate existing models and simulation assets, unlocking new possibilities in sustainable energy.

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Elevating the environment

While there have been other commercial initiatives for digital twins of wind farms, this is the first one to introduce a customizable platform that enables users not to disclose sensitive commercial data.

DTWO aims to be a pioneering initiative in the digitalization of offshore wind energy by combining:

Federated Approach

Unlike traditional digital twin systems that centralize data, DTWO uses a federated architecture. This allows users to customize without sharing sensitive, commercially valuable data.

Model Integration

Built to integrate a wide array of existing models and data sources, including physics-based, simulation, semantic, and AI/ML-driven models. 

Granular Prediction Capabilities

DTWO aims to improve predictive accuracy by enhancing data granularity and using advanced modelling for higher precision in decision-making. 

High-Level Cybersecurity

The project prioritizes security, addressing concerns around data vulnerability in digital transformation efforts. 

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Modules and Technical Integration

Building a software architecture with user-friendly data and tool hubs

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Bridging Ambition with Tangible Results

We introduce a scalable, modular digital twin architecture designed with high cyber-security and integrates essential tools and data hubs. It enhances offshore wind energy through advanced simulations, industry use cases, and global collaboration.

Discover the outcomes

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