主催: The Japan Society of Mechanical Engineers
会議名: 第15回動力エネルギー際会議(ICOPE-2021)
開催日: 2021/10/17 - 2021/10/21
In this paper a source term inversion model is built to study the source release during severe accident in nuclear power plant. The model is based on the combination of genetic algorithm and Nelder-Mead simplex algorithm and the dispersion model is Gaussian plume model. It uses the off-site monitor data and the meteorological data to estimate the amount of radiological materials released into environment during severe accident. This method can support the rapid obtain of source term during nuclear emergency and become a supplement to the core damage evaluation method. Three validation cases are present in this paper, which are indoor wind tunnel experiments. According to the wind tunnel experiment, the average inversion error is within 10%, which shows that the source term inversion model established in this paper can give the accident release source term very accurately. This model can be used in the consequences evaluation of nuclear accidents, provide suggestions to accident emergency decision-making.
