Case Studies

MSU Case Story

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Michigan State University (MSU), one of the largest public research universities in the United States, operates its own large-scale power supply with multiple industrial steam boilers and turbines. 

Using Multivariate Data Analysis to create unique models, the university staff was able to uncover operational changes that could save more than $1 million USD a year in fuel costs and capital expenditures, while also gaining insights to extend the lifetime of equipment, reduce carbon emissions and support operator training.

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