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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


  1. ANDES WP2: Uncertainties and covariances of nuclear data Arjan Koning, NRG ANDES trimester Meeting Teleconference September 3, 2010

  2. Contents • Objectives • Tasks • Milestones and deliverables 2

  3. 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 3

  4. 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 4

  5. 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 5

  6. 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. 6

  7. 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. 7

  8. 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. 8

  9. 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) 9

  10. 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 10

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