H2GO Power

A collaborative research project integrating the HyAI artificial intelligence platform with hydrogen storage technology to optimize renewable energy integration and grid management through real-time, data-driven decision-making.

A planned commercial demonstration project for installing and integrating the HyAI AI technology at the EMEC test site in Orkney, following the research phase.

A demonstration project to deploy a 1 MWh scalable green hydrogen storage system on Scotland's Orkney Islands using solid-state hydrogen storage technology integrated with AI. The project aims to prove the commercial viability of utility-scale hydrogen storage for applications including industrial heating, hydrogen refueling stations, electrical power, and gas network blending.

An artificial intelligence platform designed to optimize renewable energy integration and hydrogen storage operations. HyAI uses predictive optimization algorithms to analyze electricity prices, weather data, and grid management information to make real-time, data-driven decisions for energy system optimization.

A scalable green hydrogen storage system using solid-state materials and AI integration. The system stores hydrogen at low pressures, achieving up to 55% cost savings compared to high-pressure compression, with a targeted levelized cost of $0.25 per kilogram by 2028.

AI is used to automate threat detection, anomaly analysis, and response in cybersecurity, processing vast amounts of data to identify and mitigate threats.

The process used to produce green hydrogen by splitting water using electricity.

A method of storing hydrogen by binding it chemically within solid materials, such as metal hydrides or advanced adsorbents, rather than in high-pressure tanks.

near Gateshead

United Kingdom

Scotland, Orkney Islands

A demonstration project to deploy a 1 MWh scalable green hydrogen storage system on Scotland's Orkney Islands using solid-state hydrogen storage technology integrated with AI. The project aims to prove the commercial viability of utility-scale hydrogen storage for applications including industrial heating, hydrogen refueling stations, electrical power, and gas network blending.

A collaborative research project integrating the HyAI artificial intelligence platform with hydrogen storage technology to optimize renewable energy integration and grid management through real-time, data-driven decision-making.

A planned commercial demonstration project for installing and integrating the HyAI AI technology at the EMEC test site in Orkney, following the research phase.

A scalable green hydrogen storage system using solid-state materials and AI integration. The system stores hydrogen at low pressures, achieving up to 55% cost savings compared to high-pressure compression, with a targeted levelized cost of $0.25 per kilogram by 2028.

An artificial intelligence platform designed to optimize renewable energy integration and hydrogen storage operations. HyAI uses predictive optimization algorithms to analyze electricity prices, weather data, and grid management information to make real-time, data-driven decisions for energy system optimization.