Utilites plant showing large stacks and plumes of water vapor.
Utilites plant showing large stacks and plumes of water vapor.

Utilities

See how KCF helps you maximize operations and reduce unplanned downtime

Case Study Spotlight

Leveraging predictive maintenance to minimize thermal losses

Talen Energy: $2.5M - $10M in savings.

Nuclear power plants use large amounts of water for cooling, with more than half of the energy produced by a nuclear power plant lost as heat. However, accurately tracking thermal output can be a challenge.

Susquehanna Steam Electric Station (SSES), a division of Talen Energy, was tasked with addressing this industry-wide problem and partnered with KCF Technologies to develop a solution. Through a comprehensive hardware and software platform, SSES is already seeing quick wins from its new investment.

Read Case Study

Improve thermal performance

Replace time-based maintenance with as-needed maintenance.
Detect thermal losses in real time with continuous pressure and temperature monitoring—so you can prevent lost megawatts and avoid costly heat rate inefficiencies.

Prioritize, plan, prevent

Prioritize maintenance activities based on criticality instead of best guesses.
Use real-time asset data and AI-driven insights to prioritize maintenance by criticality, avoid unnecessary shutdowns, and prevent costly unplanned downtime.