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IAEA project aims to develop polymer irradiation model
The International Atomic Energy Agency has launched a new coordinated research project (CRP) aimed at creating a database of polymer-radiation interactions in the next five years with the long-term goal of using the database to enable machine learning–based predictive models.
Radiation-induced modifications are widely applicable across a range of fields including healthcare, agriculture, and environmental applications, and exposure to radiation is a major factor when considering materials used at nuclear power plants.
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.