Beyond being a virtual replica of your industrial facility, Kognitwin Energy, our dynamic digital twin delivers a rich framework for advanced digitalization and analytics, including a range of solutions that can be customized to attend your needs.
Learn more about our Kognitwin Energy
The asset-heavy industry consumes a substantial amount of energy. This contributes to carbon emissions and reduces profit margins. The operating space is rarely explored as risk is larger than potential savings.
- Hybrid ML is the answer to this challenge.
- A verified machine learning model is trained to provide real-time data support and warn the user of potential savings.
- It enables exploring untested configurations without risk to people, environment or the equipment.
- Different scenarios can be tested, and optimization proposals can be proved.
- Users can have a full overview and take the most favorable action.
- Operators easily get access to key insights and metrics they need to put the new configuration into practice.
Even small improvements to the operating conditions scaled across an asset can provide substantial energy savings without affecting the production point.
With Kognitwin Energy, simulators and the Hybrid ML technology in the loop, operators easily get access to key insights and metrics they need to put the new configuration into practice.
- $2M yearly saving on reduced energy consumption of the entire process
- Reduced 0,5% electricity consumption without affecting production
- Production optimization
- Integrity control
- Reduced carbon emission
Beyond the visuals
Aside from providing virtual replicas of energy facilities, Kognitwin® Energy offers easy access to monitoring, dynamic simulation, and high-quality predictions in real time.