Datacor
152 Case Studies
A Datacor Case Study
The customer, Duke Energy, faced challenges with aging pipe networks at its McGuire Nuclear Station, where scaling and corrosion were causing significant pressure drops and reduced flow rates. To accurately predict the hydraulic behavior of its service water system, Duke Energy partnered with vendor Datacor, which employed its automated, multi-variable goal-seeking software for a calibration project.
Datacor implemented a solution using its automated goal-seeking software to calibrate the hydraulic model. The process was conducted in phases and achieved high accuracy. For a partial data set calibration, the results showed average accuracies as low as 1% for flow rates and 1.2 psig for pressures. A complete data set calibration yielded an average accuracy of 2.3% for flow rates and 1.4 psig for pressures, demonstrating the effectiveness of Datacor's solution.