Case Study: Tennet

Challenges

• TenneT, a leading European electricity Transmission System Operator (TSO), collected vast amounts of data from sensors and systems across their high-voltage network but their batch-driven setup prevented real-time responses to grid changes. 
• This limitation hindered their ability to maintain optimal grid stability, perform advanced analytics, monitor power quality, and detect potential issues for real-time decision support.
• TenneT recognized that meeting future energy challenges required building real-time situational awareness and advanced analytics capabilities with event streaming architecture capable of handling large volumes of high-speed data processed continuously and acted upon in real-time.

Why TenneT Choose Axual

Axual emerged as the Economical Most Beneficial Proposal (EMVI), offering:

• Out-of-the-box Kafka solution combining Strimzi's open-source capabilities with enterprise features
• User-centric interface enabling large organizations to utilize Apache Kafka without complexity
• Enterprise features including access control, data governance, and visual data flow management
• Expert implementation support with TenneT's own engineers designing and installing the platform

Results

• Real-time grid monitoring with continuous data processing and analysis
• Enhanced grid controllability through real-time situational awareness
• Simplified bottleneck identification through visual data flow management
• Seamless data integration from grid monitoring systems to decision-making teams
• Role-based access control ensuring secure data governance
• Scalable architecture that grows with TenneT's expanding network needs

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