Insightful strategies for cost-effective combined cooling, heating and power facilities management.
Radix will share case insights from its data-driven and machine-learning based approach at the Big Ten and Friends Utilities Conference at the University of Cincinnati from May 18 to May 21, 2025.
The conference brings together over 150 campus facilities operations leaders across North America to exchange ideas with utility, energy, and engineering professionals and discuss emerging trends in campus utility operations to proactively improve the efficiency, maintainability and sustainability of facility infrastructure.
Michael O’Connor PE, Director Energy Management, University of Missouri, will co-present with Thiago Bacic, Vice President of Infrastructure and Services, North America, Radix, sharing use case insights: Identifying Peak Performance: A Data-Driven Approach to Cost Effective Combined Cooling, Heating & Power Operations.
The presentation on Tuesday, May 20th, 10:30- 11:15am will include:
- University of Missouri’s Combined Cooling Heating & Power (CCHP) Operations Overview.
- Complexity in determining the most cost-effective and resilient way to operate Mizzou’s CCHP plant.
- Radix’s data-driven and machine-learning based approach to support decision-making through optimization and demand forecasting.
- Operational gains and business value – and next steps to enhance the solution.
Bacic said: “Campus facilities are under constant pressure to optimize infrastructure, cut energy use and enhance campus sustainability. We bring together a multidisciplinary team that includes engineers and data scientists to provide energy efficiency solutions for facilities.”
O’Connor said: “Delivering cost-effective and resilient utility services to a major research university in the Midwest presents significant challenges. Operating a multifuel combined cooling, heating, and power (CCHP) plant efficiently is complicated by fluctuating fuel prices and variable MISO wholesale electricity costs, which impact equipment dispatch decisions. However, by analyzing historical operational and load data, it is possible to forecast optimal operating configurations that maximize efficiency without compromising system resiliency.”
Radix combines engineering, software development, automation and industrial IT to deliver customized solutions tailored to a facilities’ specific needs. The facilities are also empowered with the implementation of an advisory system. This allows real-time tracking of fuel costs, demand, and weather conditions.
“The solution combines a predictive system that forecasts energy consumption for the next hour and each hour of the following day with an optimization engine that determines the most efficient plant configuration to meet demand. This approach enables proactive decision-making, reducing operational costs while maintaining sustainability and staying within facilities management constraints,” Thiago said.
