Project: Energy Recovery System Optimization (Natural Gas + Steam) Mc Cain Foods
Manufacturing
Information
https://www.scaleai.ca/funded-projects/mccain-driving-impact-mdi-with-ai/
Objective:
Optimize energy efficiency and cost in natural gas systems using AI-driven monitoring and recovery, reducing waste and environmental impact.
Problem:
Inefficient energy recovery in natural gas systems drives up costs and waste.
Lack of dynamic monitoring reduces performance.
Main Activities:
Proposed and developed ML models to predict energy recovery and assessed the contribution of individual system components.
Deployed the best-performing model in the Azure environment for production-ready execution.
Delivered and transitioned the solution seamlessly to client operations.
Outcomes:
Achieved a 41% increase in energy recovery through system optimization.
Estimated annual financial savings of over $174K CAD in energy and emissions-related costs.
Demonstrated potential to reduce CO₂ emissions by ~462 tons annually.
Impact:
Significantly lowering carbon footprint.
Delivered measurable cost benefits with a projected payback period of under 3 years.
