کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
8067229 1521083 2018 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Beta-effective sensitivity and uncertainty analysis of MYRRHA reactor for possible use in nuclear data validation and improvement
موضوعات مرتبط
مهندسی و علوم پایه مهندسی انرژی مهندسی انرژی و فناوری های برق
پیش نمایش صفحه اول مقاله
Beta-effective sensitivity and uncertainty analysis of MYRRHA reactor for possible use in nuclear data validation and improvement
چکیده انگلیسی
New reactor concept studies, such as those of the MYRRHA Accelerator Driven System (ADS), with their extended nuclear data needs relaunched the interest in sensitivity and uncertainty (S/U) studies. S/U analysis play an essential role in assuring the accuracy and reliability of nuclear reactor computations and provide an insight in the physical phenomena involved in the neutron transport. This paper presents the study of the MYRRHA critical core, which is designed to operate at 100 MW thermal power. The previously presented analysis of the MYRRHA effective multiplication factor (keff) was extended to study the sensitivity and uncertainty in kinetic parameters, such as the effective delayed neutron fraction (βeff). The sensitivity and uncertainty computations were performed by means of the SUSD3D code based on forward and adjoint-flux first-order perturbation theory. The sensitivity coefficients of βeff with respect to the basic nuclear data were calculated by the k-ratio derivation method proposed in 2011. The main components of the uncertainties in βeff were estimated using the JENDL-4.0u covariance data. The energy dependent sensitivity profiles of keff and βeff with respect to nuclear data are compared in view of exploiting the differences among them for a physically more complete, comprehensive and consistent nuclear data validation and improvement procedure. The accuracy of the keff and βeff measurements and calculations has to be carefully evaluated in order to conclude on the nuclear data status and possible improvements.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Annals of Nuclear Energy - Volume 113, March 2018, Pages 425-435
نویسندگان
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