The Energy Optimizer is a cloud-based Artificial Intelligence (AI) application combining mathematical optimization and machine-learning-based electricity price forecasts to reduce energy costs in electrolytic processes. Savings can be up to 15%, while at the same time reducing the carbon footprint.
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 electrolytic process where there is an opportunity to modulate the load, such as chlorine and caustic soda production, aluminum smelting, and many more. 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.