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Mathematics & Computation
Division members promote the advancement of mathematical and computational methods for solving problems arising in all disciplines encompassed by the Society. They place particular emphasis on numerical techniques for efficient computer applications to aid in the dissemination, integration, and proper use of computer codes, including preparation of computational benchmark and development of standards for computing practices, and to encourage the development on new computer codes and broaden their use.
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ANS Student Conference 2025
April 3–5, 2025
Albuquerque, NM|The University of New Mexico
Standards Program
The Standards Committee is responsible for the development and maintenance of voluntary consensus standards that address the design, analysis, and operation of components, systems, and facilities related to the application of nuclear science and technology. Find out What’s New, check out the Standards Store, or Get Involved today!
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Latest News
Norway’s Halden reactor takes first step toward decommissioning
The government of Norway has granted the transfer of the Halden research reactor from the Institute for Energy Technology (IFE) to the state agency Norwegian Nuclear Decommissioning (NND). The 25-MWt Halden boiling water reactor operated from 1958 to 2018 and was used in the research of nuclear fuel, reactor internals, plant procedures and monitoring, and human factors.
Ahmad Osgouee, Jin Jiang
Nuclear Technology | Volume 181 | Number 3 | March 2013 | Pages 493-506
Technical Papers | Nuclear Plant Operations and Control | doi.org/10.13182/NT13-A15806
Articles are hosted by Taylor and Francis Online.
In this paper, a new, robust control method based on a multimodel predictive control scheme is developed for steam generator level (SGL) control in nuclear power plants. For a multiramp power increase from low to full power, the proposed controller is capable of keeping the SGL within the admissible range by minimizing the level transients and improving the stability of the control loop. Simulation results and a general framework for systematically studying the SGL are presented to demonstrate the effectiveness of the proposed control method by comparing the performance of the designed controller with that of a properly tuned conventional three-element proportional-integral-derivative (PID) controller. Moreover, it has been demonstrated that the proposed controller is more robust than a conventional PID controller to steam flow disturbances caused by load variations.