CibusCell Operational AI for Hydrogen Production & Value Chains
от CibusCell Technology GmbH
Optimize hydrogen production with AI and real-time analytics for cost savings and efficiency.
CibusCell is an operational AI platform built on Microsoft Azure that connects data, decisions, and devices across the entire hydrogen value chain – from renewable power and electrolysers to storage, offtake, and trading. It helps you cut production costs, stabilize operations, and unlock profitable business models in a market where green hydrogen has to compete on price with fossil-based alternatives.
By combining advanced analytics, machine learning, and cloud-to-device automation, CibusCell continuously optimizes how, when, and where you produce and move hydrogen – so every MWh and every kilogram works harder for your profitability.
Key business outcomes
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Lower levelized cost of hydrogen (LCOH):
Reduce electricity-driven production costs by up to 30% through AI-optimized electrolyser dispatch that reacts to real-time power prices, grid constraints, and weather forecasts. Optimized portfolio & offtake management:
Coordinate production, storage, and offtake contracts with scenario-based planning that reflects market volatility, grid fees, and certification requirements – from single plants to multi-site hydrogen valleys.Full transparency and audit-ready reporting:
Get a single operational view of assets, costs, emissions, and certificates, with drill-down analytics for operations, trading, and finance teams.Higher operational efficiency & availability:
cut OPEX, reduce manual interventions, and avoid unplanned downtime across electrolysers, compressors, and storage assets.
Platform highlights
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Operational AI for hydrogen assets:
Purpose-built machine learning models forecast demand, prices, and renewable generation, and recommend optimal production schedules and setpoints. -
End-to-end value chain integration:
Connect to SCADA, IoT gateways, energy markets, and business systems like SAP to break data silos and enable real-time optimization along the full hydrogen value chain. -
Cloud-to-device automation on Azure:
Securely push optimized operating points and control signals back to the field, enabling semi- or fully-automated electrolyser and storage operation with human-in-the-loop oversight. -
Scalable, secure, and enterprise-ready:
Built natively on Microsoft Azure, leveraging services such as Azure Machine Learning and Microsoft Fabric for data, AI, and governance – ready for regulated, mission-critical environments.
Proven results with leading hydrogen projects
CibusCell already supports industrial-scale hydrogen projects, including deployments with Open Grid Europe (OGE), where it is used to analyze operational data, optimize production, and integrate with the broader energy system using Microsoft Fabric and Azure Machine Learning.
Start turning your hydrogen projects into reliable, cost-competitive operations. Get started from the Azure Marketplace or contact us for a tailored demo and business case.