Uncertainty Quantification Spectral Technique for the Stochastic Point Reactor with Random Parameters

Safa Alaskary and Mohamed El-Beltagy
Additional contact information
Safa Alaskary: Electrical and Computer Engineering Department, Engineering Faculty, King Abdul-Aziz University, Jeddah 21589, Saudi Arabia
Mohamed El-Beltagy: Engineering Mathematics and Physics Department, Engineering Faculty, Cairo University, Giza 12613, Egypt

Energies, 2020, vol. 13, issue 6, 1-11

Abstract: The stochastic point reactor with random parameters is considered in this work. The hybrid uncertain variations—noise and random parameters—are analyzed with the spectral techniques for the efficiency and high rates of convergence. The proposed hybrid technique enables one to derive an equivalent deterministic system that can be solved to get the mean solution and deviations due to each uncertainty. The contributions of different sources uncertainties can be decomposed and quantified. The deviations in the thermal hydraulics are also computed in the current work. Two model reactors are tested with the proposed technique and the comparisons show the advantages and efficiency compared with the other techniques.

Keywords: uncertainty quantification; stochastic point reactor; random variations; sensitivity analysis (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
https://www.mdpi.com/1996-1073/13/6/1297/pdf (application/pdf)
https://www.mdpi.com/1996-1073/13/6/1297/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:13:y:2020:i:6:p:1297-:d:331362

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().