Energy Cost Optimization for Manufacturers - SAS

Rising energy costs and increasing sustainability demands from regulators, investors, and customers require manufacturers—especially in energy-intensive industries like steel, chemicals, paper, glass, bricks, and cement—to find ways to reduce their energy consumption without sacrificing product quality or production yield.

SAS Energy Cost Optimization provides manufacturers with an AI-driven approach to minimizing energy waste while maintaining operational efficiency. By integrating IoT analytics and AI-powered insights, the solution continuously monitors and analyzes data from across the production process, predicting energy consumption patterns and identifying inefficiencies in real time.

The system pinpoints excess energy usage, determines optimal shift parameters, and recommends precise process setpoints that minimize consumption without compromising output. This enables manufacturers to make data-driven decisions that optimize factory processes, achieving an average energy cost savings of 10% while simultaneously reducing carbon emissions and CO2 certificate spending.

With automated insights and predictive analytics, manufacturers can remove the guesswork from energy optimization, improving sustainability efforts while maintaining profitability.