Case Study: The University of Iowa achieves $600K+ in annual energy savings with Clockworks Analytics' FDD-driven predictive maintenance

FDD-Driven Predictive Maintenance At University Of Iowa Saves $600k In 6 Months

The University of Iowa faced the challenge of optimizing HVAC performance across a large, 49‑building campus with multiple building automation systems and millions of data points but limited visibility into hidden inefficiencies. To move from reactive repairs to predictive maintenance, the university evaluated FDD technologies and implemented Clockworks Analytics’ predictive analytics/FDD platform to surface prioritized, actionable faults from existing automation data.

Clockworks Analytics integrated its FDD into UI’s existing work‑order workflow and monitored thousands of equipment points to drive data‑driven action. In the first six months Clockworks helped the university realize over $600,000 in savings, generated 24% of quarterly HVAC work orders in connected buildings, and enabled resolution of 117 energy, 171 comfort, and 304 maintenance issues; focused efforts on four buildings yielded 13%–24% savings and projected annual savings from completed tasks reached roughly $678,190.

The University of Iowa