Predictive Energy Powered by Atomiton Stack
An AI-Powered engine that turns machine data into energy saving actions in real-time.
Companies have set aggressive targets to reduce their (GHG) emissions, including Net Zero goals, but they lack the tools to translate them into operational levers that drive down electricity, fuel and water use. Additionally, McKinsey estimates up to 30% energy efficiency gain is achievable, but manufacturers are wasting millions of dollars because they don’t have the real-time actionable insights on how to achieve them.Atomiton’s AI-powered engine provides real-time optimization intelligence for operators to make energy- smart decisions, driving down energy costs and carbon emissions. A core component of the Atomiton Stack is predictive analytics – predicting the energy demand and identifying optimized way to run energy-consuming machines while meeting the production demand. The solution contains multiple modules for different primary and secondary energy forms.
- Reduce energy costs by 15-30%
- Energy is the backbone of industrial productions. The Atomiton engine not only leads to direct energy savings, but also helps make operational processes more efficient.
- Improve asset performance with early detection of asset degradations
- Rather than make trigger-based setpoint decisions, Predictive Energy algorithms identifies activities that have flexible start times and computes the best timing and sequence to reduce the highest energy load on the system.
- Cut GHG emissions by 10-20%
- The Atomiton Stack predicts the true demand of steam with significant lead time to allow proactive regulations of steam generation set points, smoothing out peaks and reducing wastes. It also optimizes multiple boiler schedules to maximize system energy efficiency.
