DAC plant

Real stories of improved efficiency, sustainability, and decision-making powered by data and Machine Learning.

DAC plant

Real stories of improved efficiency, sustainability, and decision-making powered by data and Machine Learning.

DAC plant

Real stories of improved efficiency, sustainability, and decision-making powered by data and Machine Learning.

More stories

DAC plant

DAC plant

DAC plant

Context

A Direct Air Capture (DAC) plant captures CO₂ from the atmosphere using sorbent-based modules. The CO₂ is then released with thermal/electrical energy, compressed, and injected into basalt formations for permanent geological storage.

The problem

These plants consume a large amount of energy for heating and compression, generating vast amounts of data. The absence of predictive maintenance and real-time data visualization poses a significant challenge as climate conditions, unplanned downtime, and the gradual degradation of sorbents affect efficiency.

How we solve it?

Intemic connects to DAC plant systems to ingest and validate real-time data like air flow, pressure differential, and energy use, enabling operational twins that model sorbent degradation, thermal efficiency, and climate impact.

It optimizes desorption schedules based on intraday energy tariffs, predicts failures in fans and compressors, and automates net CO₂ removal reporting with full signal-to-metric traceability.

Key results

Up to 10% more CO₂ captured within the same installed capacity with cycle optimization.

Up to 15% reduction on specific energy (kWh/tCO₂) through thermic and operational optimization.

50% time reduction to prepare MRV (Monitoring, Reporting and Verification) reports.


Are you interested in a specific use case?

Conact us for further information.

Are you interested in a specific use case?

Conact us for further information.