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Article considers incorporation of AI into nuclear power plant operations
The potential application of artificial intelligence to the operation of nuclear power plants is explored in an article published in late December in the Washington Examiner. The article, written by energy and environment reporter Callie Patteson, presents the views of a number of experts, including Yavuz Arik, a strategic energy consultant.
Eric T. Beaumont, Randall H. Jacobs
Nuclear Technology | Volume 122 | Number 2 | May 1998 | Pages 146-157
Technical Paper | RETRAN | doi.org/10.13182/NT98-A2858
Articles are hosted by Taylor and Francis Online.
An analysis consisting of several transients was performed to benchmark the RETRAN02 Mod5 model for LaSalle units 1 and 2 to startup test measurements. Benchmarks to startup tests are an important step in validating a RETRAN model. The five transients chosen were as follows: a two-recirculation-pump trip, a pressure regulator setpoint change, a feedwater level setpoint change, a full main-steam-line-isolation event, and a generator load rejection with bypass. These transients were chosen to examine different aspects of the RETRAN model to provide a complete test of each system.Each of the five transients had a different set of initial conditions (e.g., power, flow). The RETRAN model was initialized at the startup test conditions, and the FIBWR2 code was used to determine the RETRAN inputs for the core pressure and bypass flow distributions. All of the RETRAN analyses used the RETRAN one-dimensional kinetics option, and the one-dimensional kinetics cross sections were developed based on Commonwealth Edison Company methodology. The LaSalle base model, transient specific changedeck, and transient specific cross-section file were used to initialize and facilitate each transient in RETRAN.The RETRAN predictions for each transient were compared with the measured plant data. These comparisons were evaluated using a predetermined acceptance criterion. The parameters of interest for each of the startup tests were shown to be within the acceptance criterion. Therefore, the benchmark results provide a high confidence that the RETRAN model is a valid and accurate representation of the LaSalle County nuclear stations for a broad spectrum of transient analysis.