Next-Gen Tip Tracing for Dialed-in Flux Monitoring Calibration
TipTrace.ai – Cutting-edge AI-driven solution to optimize LPRM calibration in BWRs
Tip Trace.ai is a cutting-edge AI-driven solution designed to optimize Local Power Range Monitor (LPRM) calibration in Boiling Water Reactors (BWRs). By leveraging advanced algorithms, Tip Trace.ai enhances precision of TIP Trace alignment to the physical LPRM locations.
NEW METHODOLOGY
Blue Wave is pioneering new approaches to LPRM calbrationi with the creation of TipTrace.ai to enhance calibrations and optimize the performance of Traversing In-Core Probes (TIPs) in Boiling Water Reactors (BWRs). TIP systems are critical for measuring local neutron flux and validating the accuracy of the core’s 3D power distribution.
REAL WORLD
TIP systems are critical for measuring local neutron flux and validating the accuracy of the core’s 3D power distribution. Effective tip trace methodologies ensure precise calibration of Local Power Range Monitors (LPRMs), which provide continuous feedback for reactor control and safety. By tracing the TIP data and applying advanced analysis, such as TipTrace.ai engineers can identify discrepancies, predict deviations, and implement real-time adjustments. This enhances reactor efficiency, reduces operational uncertainties, and supports compliance with stringent safety margins, ensuring sustained and optimized reactor performance.
HIGH-VALUE RESULTS
The predictive capability of TipTrace.ai allows for accurate LPRM readings to eliminate unnecessary generation losses and avoid safety issues resulting from underestimating thermal limits margins.
FEATURES
TipTrace.ai is a robust state-of-the-art SaaS application for the nuclear power industry that provides unparalleled accuracy for LPRM calibration in both reload core design and cycle management engineering applications. Additional features include the abilities to ensure accurate flux monitor calibration and maintain safe thermal limits as well as early detection of fuel bundle spacing effects.
Trace with Precision. Calibrate with Confidence.
The above diagram depicts a typical fuel bundle used in BWRs.
DATA
Typical situations require historical hdf5 trace files that span the entire life of fuel bundle.
REQUIREMENTS FOR TipTrace.ai
TipTrace.ai is accessed via a web browser and is available for all standard computing platforms with a high-speed Internet connection, running most modern 32- and 64-bit operating systems and mobile operating systems: Linux, Windows, macOS, Android, iOS, and UNIX architectures are all acceptable environments for TipTrace.
ENERGIZE RELOAD DESIGN
Energize reload design with the BWnuclear.ai software suite. These AI-based predictive algorithms integrate seamlessly, whether it be for reload core design or cycle management applications.
Problem solved a more accurate algorithm
The Problem:
Raw probe traces are rarely aligned to the reactor core.
If not accurately calibrated the result is:
The auto TIP alignment feature in most fuel vendors’ software occasionally incorrectly. shifts the local flux profile by. more than a full node.
Incorrect LPRM calibrations
Higher perceived thermal limits (e.g. MFLPD) due to inadequate margin(s)
A power derate (!) if a limit is reached
