| Title |
Nuclear Reactor Modeling in Load Following Operations for Korea Next Generation PWR with Neural Network |
| Authors |
이상경(Lee Sang-Kyung) ; 장진욱(Jang Jin-Wook) ; 성승환(Seong Seung-Hwan) ; 이은철(Lee Un-Chul) |
| Keywords |
NARX ; Neural Network ; Load Following Operation ; KNGR |
| Abstract |
NARX(Nonlinear AutoRegressive with eXogenous input) neural network was used for prediction of nuclear reactor behavior which was influenced by control rods in short-term period and also by the concentration of xenon and boron in long-term period in load following operations. The developed model was designed to predict reactor power, xenon worth and axial offset with different burnup states when control rods and boron were adjusted in load following operations. Data of the Korea Next Generation PWR were collected by ONED94 code. The test results presented exhibit the capability of the NARX neural network model to capture the long term and short term dynamics of the reactor core and the developed model seems to be utilized as a handy tool for the use of a plant simulation. |