AI Market Simulation for Hydrogen Network Planning

Open Grid Europe (OGE), Germany’s largest gas transmission operator, is preparing for the Energiewende by investing in hydrogen infrastructure. To anticipate future market dynamics, OGE partnered with ML6 to build a digital twin and AI-powered market simulation, ensuring a resilient and future-proof hydrogen network.

Catch up quickly
OGE is repurposing its gas infrastructure and building new hydrogen pipelines to lead Germany’s energy transition. With ML6, they developed a digital twin and AI-driven market simulation to test future scenarios, optimize network investments, and address challenges in market development and balancing. This proactive approach positions OGE as a frontrunner in shaping Europe’s hydrogen economy.
About this client
As one of Europe's leading gas transmission system operators, and the largest in Germany, Open Grid Europe (OGE) is actively preparing for the 'Energiewende.' Their strategy involves investing in the future capacity to transport hydrogen by strategically repurposing existing gas infrastructure and constructing new hydrogen pipelines.
Impact
To prepare for Germany's energy transition, Open Grid Europe (OGE) is investing in hydrogen infrastructure and developing a digital twin to analyze future scenarios and market setups. This proactive approach, including an AI-powered market simulation developed by ML6, will help OGE optimize network development and ensure the effective management of their future hydrogen infrastructure, solidifying their position as a leader in the evolving energy landscape.

Challenge
The transportation of hydrogen brings with it a new set of challenges and uncertainties.
Market development
01The hydrogen market is in its early stages, with individual clusters being put into operation and only gradually connecting to form a nationwide market. This makes it challenging to implement a fully-fledged entry-exit system from the outset, and requires a coordinated development of both network infrastructure and market.
Network Balancing
02Balancing the hydrogen network requires a different approach compared to the natural gas market. This is due to the intermittent nature of hydrogen production, particularly green hydrogen generated from renewable energy sources, and its integration with electricity markets.
ML6 provides a high competence level on both AI and Energy, and succeeded in bringing their amazing and creative ideas to life.

Solution
To prepare for the uncertainties of the hydrogen economy, OGE is developing a digital twin that enables them to explore future scenarios, anticipate challenges, and plan network investments more effectively. Together with ML6, they designed an AI-powered approach that combines market simulation with infrastructure modeling.
Digital Twin for Hydrogen Infrastructure
01A digital replica of OGE’s future hydrogen network provides a safe environment to test different scenarios, analyze market setups, and understand their impact on the grid before making large-scale investments.
AI-Powered Market Simulation
02ML6 developed a simulation that models the buying behavior of different industries across multiple markets. Configurable with rules or reinforcement learning, it allows OGE to capture realistic dynamics of a still-maturing hydrogen market.
Scenario-Based Investment Planning
03By integrating simulated market behavior into the digital twin, OGE can evaluate how well their planned infrastructure meets future demand, optimize network development, and ensure resilient hydrogen transport for Germany’s energy transition.

OGE is playing a key role in shaping tomorrow's hydrogen infrastructure, we are honored to be able to support them in this.
Results

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