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Application Of The Convolution Theorem To Predict Heated Wall Temperature Subject To Various Axial Power Distributions
KTH, School of Engineering Sciences (SCI), Physics, Reactor Technology.ORCID iD: 0000-0001-5595-1952
2012 (English)In: Proceedings Of The 20th International Conference On Nuclear Engineering And The ASME 2012 Power Conference - 2012, Vol 4, 2012, 575-579 p.Conference paper (Refereed)
Abstract [en]

One of the important parameters that affect the thermal-hydraulic performance of nuclear fuel assemblies is the spatial - that is the lateral and the axial distribution of power. Since this parameter may have a significant influence on thermal margins of nuclear reactors, it is necessary to take it into account in various models and/or correlations. One practical difficulty in doing so is the fact that the spatial power distribution is a function of space variables, which makes it very inconvenient to implement into single-parameter correlations. In addition, there is still lack of a simple theoretical model that captures the effect of spatial power distributions on the thermal-hydraulic performance of nuclear fuel assemblies. In this paper, an accurate and fast running convolution method is presented to predict the influence of axial power distribution on wall temperature distributions. The method has been verified against CFD predictions of the wall temperature in a heated pipe and an excellent agreement between the two approaches is demonstrated. The method is applicable only for constant fluid properties and for a fully developed flow regime.

Place, publisher, year, edition, pages
2012. 575-579 p.
National Category
Energy Engineering
URN: urn:nbn:se:kth:diva-131739ISI: 000324153200068ScopusID: 2-s2.0-84890070996ISBN: 978-0-7918-4498-4OAI: diva2:656791
20th International Conference on Nuclear Engineering and the ASME 2012 Power Conference (ICONE20-POWER2012) Location: Anaheim, CA Date: Jul 30-Aug 03, 2012

QC 20131017

Available from: 2013-10-17 Created: 2013-10-17 Last updated: 2013-10-17Bibliographically approved

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