ANDES WP2: Uncertainties and covariances of nuclear data Arjan - - PowerPoint PPT Presentation

andes wp2 uncertainties and covariances of nuclear data
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ANDES WP2: Uncertainties and covariances of nuclear data Arjan - - PowerPoint PPT Presentation

ANDES WP2: Uncertainties and covariances of nuclear data Arjan Koning, NRG ANDES trimester Meeting Teleconference September 3, 2010 Contents Objectives Tasks Milestones and deliverables 2 Objectives Enhance the European


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ANDES WP2: Uncertainties and covariances of nuclear data

Arjan Koning, NRG ANDES trimester Meeting Teleconference September 3, 2010

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Contents

  • Objectives
  • Tasks
  • Milestones and deliverables
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Objectives

Enhance the European capability to produce covariance data for isotopes important for advanced reactors Three aspects of nuclear data evaluation come together:

  • Uncertainty/covariance evaluation of experimental data
  • Uncertainty/covariance evaluation of data from models
  • A proper theoretical treatment and evaluation of nuclear

reactions on actinides (especially fission models) and its relation with 1. and 2. In addition:

  • Covariances for radioactive decay and fission yield data
  • Use all of the above in processing, reactor and fuel cycle

codes. In ANDES-WP2, all this is organized in 5 tasks

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Task 2.1 : Scientific coordination

Task leader: NRG Collection of progress from all WP2 partners for this meeting. For the rest, nothing specific since the kick-off meeting

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Task 2.2:Covariance tool development

TASK leader: TU Wien

  • Experimental covariance tool (CEA-DAM)
  • Post-doc identified. She will start beginning 2011
  • GENEUS evaluation tool (TU Wien):
  • Activities started directly at 01-05-2010
  • ANDES funds PhD student : Denise Neudecker
  • Report of first results at JEFF meeting june 2010
  • Uncertainties on OMP and level densities included
  • Ongoing: extension of GENEUS (based on TALYS-

1.2) for fission channels

  • CONRAD (CEA-DEN) evaluation tool
  • Not yet started
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Task 2.3 Covariance data evaluation

TASK leader: NRG NRG: covariance production for actinides:

  • Extended nuclear data libraries with uncertainties for number of

fission neutrons (MF31) and fission neutron spectrum (MF35)

  • Started new complete evaluation of Pu-239 including full

covariance data. Testing with Total Monte Carlo for WP3. Univ Bucharest: Improve methods for actinide evaluation:

  • 2 weeks of EMPIRE development by Capote at JSI( Slovenia).
  • Testing new models for direct and pre-equilibrium reactions.
  • Uncertainties for n+237Np and n+242Pu assessed based on

different evaluations, experiments and EMPIRE-Kalman: will be used for Monte Carlo covariance evaluations.

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Task 2.4: Covariances for activation, decay and fission yields

Task leader: UPM NNL: Fission yield and decay data

  • ACAB methods for these data investigated
  • Method available for including each individual fissioning
  • system. Correlations with decay data and time

dependence are being studied UPM: Covariance data for spent fuel inventories and decay heat:

  • No news about technical progress
  • ANDES is combined with Spanish reseacrh and teaching

fellowship for a new student for ANDES: Carlos Javier Diez de la Obra.

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Task 2.5: Application to advanced reactors

Task leader: CIEMAT (Use covariance files in reactor and fuel cycle codes for designs from other EU projects. Determine uncertainty for most important parameters) No technical progress reported.

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Deliverables and milestones (year 1 only)

D2.1: Activation data libraries for Monte Carlo uncertainty propagation in fuel cycle code ACAB (M12)(NRG, CIEMAT, UPM)

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Partner list

  • NRG (Koning): TALYS nuclear model code, production of nuclear

data libraries + covariances, RRR+URR+fast neutrons, applied (benchmarking) criticality, shielding and reactor calculations

  • CEA-DAM (Bauge): experimental uncertainty methods + TALYS

fission model development

  • CEA-CAD (de Saint-Jean): CONRAD resonance code
  • Univ Bucharest(Sin): Fission modeling
  • UNED/UPM (Cabellos): Uncertainty propagation for back-end of

the fuel cycle, apply covariance data in activation code.

  • NNL (Mills): Covariances for fission yield and decay data, spent

fuel inventory and decay heat calculations

  • TUW (Leeb): uncertainty methods: GENEUS
  • CIEMAT (Gonzalez): fuel cycle codes
  • JSI (Trkov): processing and application