Reduce Emissions, Improve Efficiency and Identify Cost Savings

With the help of data analytics MSU could save more than $1 million USD

The customer:Success story landing page_Boiler campaign_300x300-1 Department of Power and Water, Michigan State University

The challenge: Reduce fuel costs and environmental emissions from power production, and improve efficiency of operations

The solution: Develop multivariate models using data from CEMS, monitors, boilers, and turbines to identify key factors influencing fuel usage, NOX emissions and equipment efficiency

The result: Uncovered surprising relationships between gas temperature, air temperature, pressure, on-off schedules, flame geometry, and other factors that affect NOX emissions, fuel usage and equipment lifespan, with a potential savings of more than $1 million USD per year in fuel costs and equipment replacement

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