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Featured researches published by Petter Helgesson.


Nuclear Science and Engineering | 2014

UO2 versus MOX: Propagated Nuclear Data Uncertainty for keff, with Burnup

Petter Helgesson; D. Rochman; Henrik Sjöstrand; Erwin Alhassan; A. J. Koning

Abstract Precise assessment of propagated nuclear data uncertainties in integral reactor quantities is necessary for the development of new reactors as well as for modified use, e.g., when replacing UO2 fuel by mixed-oxide (MOX) fuel in conventional thermal reactors. This paper compares UO2 fuel to two types of MOX fuel with respect to propagated nuclear data uncertainty, primarily in keff, by applying the Fast Total Monte Carlo method (Fast TMC) to a typical pressurized water reactor pin cell model in Serpent, including burnup. An extensive amount of nuclear data is taken into account, including transport and activation data for 105 nuclides, fission yields for 13 actinides, and thermal scattering data for H in H2O. There is indeed a significant difference in propagated nuclear data uncertainty in keff; at zero burnup, the uncertainty is 0.6% for UO2 and ˜ 1% for the MOX fuels. The difference decreases with burnup. Uncertainties in fissile fuel nuclides and thermal scattering are the most important for the difference, and the reasons for this are understood and explained. This work thus suggests that there can be an important difference between UO2 and MOX for the determination of uncertainty margins. However, it is difficult to estimate the effects of the simplified model; uncertainties should be propagated in more complicated models of any considered system. Fast TMC, however, allows for this without adding much computational time.


PHYSOR 2014 International Conference; Kyoto, Japan; 28 Sep. - 3 Oct., 2014 | 2014

Selecting benchmarks for reactor calculations.

Erwin Alhassan; Henrik Sjöstrand; Junfeng Duan; Petter Helgesson; Stephan Pomp; Michael Österlund; D. Rochman; Arjan J. Koning


The Fourth DAE-BRNS Theme Meeting on Generation and use of Covariance Matrices in the Applications of Nuclear Data | 2017

Choosing Nuclear Data evaluation techniques to obtain complete and motivated covariances

Henrik Sjöstrand; Petter Helgesson


SKC årsmöte 2017 | 2017

Treating defects in nuclear reaction models to improve material damage parameters and their uncertainties

Petter Helgesson; Henrik Sjöstrand


JEFF Nuclear data week - NEA SG44 | 2017

Covariance in Ni-59 for JEFF 3.3 : A TMC based uncertainty approach

Henrik Sjöstrand; Petter Helgesson; D. Rochman


16th International Symposium of Reactor Dosimetry (ISRD16) | 2017

Assessment of Novel Techniques for Nuclear Data Evaluation

Petter Helgesson; D. Neudecker; Henrik Sjöstrand; Michael Grosskopf; D.L. Smith; R. Capote


Reactor physics meeting PHYSOR 2016 | 2016

Development Of Drag-MOC : A tool for the study of uncertainty analysis through the deterministic OpenMOC transport code

Augusto Hernandez Solis; Henrik Sjöstrand; Erwin Alhassan; Petter Helgesson


Archive | 2016

Justified and complete gas-production cross sections with uncertainties for Ni-59 and consequences for stainless steel in LWR spectra

Petter Helgesson; Henrik Sjöstrand


Archive | 2016

Evaluation of the Ni-59 cross sections including thermal (n,alpha), (n,p) and complete uncertainty information

Petter Helgesson; Henrik Sjöstrand; D. Rochman; Arjan J. Koning


Archive | 2016

Ni-59 cross section evaluation : covariance focus

Petter Helgesson; Henrik Sjöstrand; D. Rochman; Arjan J. Koning

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D. Rochman

Nuclear Research and Consultancy Group

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Arjan J. Koning

Nuclear Research and Consultancy Group

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A. J. Koning

International Atomic Energy Agency

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R. Capote

International Atomic Energy Agency

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D. Neudecker

Los Alamos National Laboratory

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D.L. Smith

Argonne National Laboratory

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