The Energy Optimizer, a cloud-based AI application, utilizes mathematical optimization and machine-learning electricity price forecasts to significantly cut energy costs in industrial processes with varying power input, while concurrently reducing the carbon footprint. Savings can be up to 15%.
In today's energy landscape, where electricity prices are scaling to unprecedented heights and becoming increasingly volatile, the need to reduce energy costs has become a top priority for any industrial manufacturer with substantial power consumption.
The Energy Optimizer is an innovative application that optimizes power nominations for any industrial process where there is an opportunity to modulate the load, such as
- Water electrolysis for the production of hydrogen (e.g., as an input for green ammonia)
- The chlor-alkali process for the production of chlorine and caustic soda
- Aluminum electrolysis (with potlines retrofitted with heat exchangers to ensure thermal stability)
- Silicon smelting
- Electric arc steelmaking
- Paper and pulp production
By leveraging machine-learning-based electricity price forecasts and mathematical optimization, our solution takes into account intricate operational constraints and site configurations, offering you a timely and practical pathway to cost efficiency in a dynamic energy landscape.
Learn more about the Energy Optimizer and it's capabilities.
Download the product sheet now!
