دورية أكاديمية

A spent nuclear fuel source term calculation code BESNA with a new modified predictor-corrector scheme

التفاصيل البيبلوغرافية
العنوان: A spent nuclear fuel source term calculation code BESNA with a new modified predictor-corrector scheme
المؤلفون: Duy Long Ta, Ser Gi Hong, Dae Sik Yook
المصدر: Nuclear Engineering and Technology, Vol 54, Iss 12, Pp 4722-4730 (2022)
بيانات النشر: Elsevier, 2022.
سنة النشر: 2022
المجموعة: LCC:Nuclear engineering. Atomic power
مصطلحات موضوعية: Depletion calculation, Source term, CRAM, Matrix exponential, BESNA, Nuclear engineering. Atomic power, TK9001-9401
الوصف: This paper introduces a new point depletion-based source term calculation code named BESNA (Bateman Equation Solver for Nuclear Applications), which is aimed to estimate nuclide inventories and source terms from spent nuclear fuels. The BESNA code employs a new modified CE/CM (Constant Extrapolation – Constant Midpoint) predictor-corrector scheme in depletion calculations for improving computational efficiency. In this modified CE/CM scheme, the decay components leading to the large norm of the depletion matrix are excluded in the corrector, and hence the corrector calculation involves only the reaction components, which can be efficiently solved with the Talyor Expansion Method (TEM). The numerical test shows that the new scheme substantially reduces computing time without loss of accuracy in comparison with the conventional scheme using CRAM (Chebyshev Rational Approximation Method), especially when the substep calculations are applied. The depletion calculation and source term estimation capability of BESNA are verified and validated through several problems, where results from BESNA are compared with those calculated by other codes as well as measured data. The analysis results show the computational efficiency of the new modified scheme and the reliability of BESNA in both isotopic predictions and source term estimations.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 1738-5733
Relation: http://www.sciencedirect.com/science/article/pii/S1738573322003448; https://doaj.org/toc/1738-5733
DOI: 10.1016/j.net.2022.07.013
URL الوصول: https://doaj.org/article/fd01dbbbe9dc431fa06ee39280ebd936
رقم الأكسشن: edsdoj.fd01dbbbe9dc431fa06ee39280ebd936
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:17385733
DOI:10.1016/j.net.2022.07.013