Developments in the Modeling & Simulation Program at EDF. Potential Collaboration Topics CASL Industry Council Meeting. Charleston, SC. April 4-5 2017 Didier Banner Presentation outline EDF’s M&S tools and software policy Current trends in numerical simulation -------------------- On-going CASL – CEA –EDF collaboration Potential collaboration on the NESTOR data EDF Key figures • French NPP fleet • 58 operating reactors, from 900 MW to 1450 MW • 157 to 205 fuel assemblies per reactor • Fuel cycles - 12 or 18 months • Fuel assemblies renewal from 1/4th to 1/3rd • Some estimated costs* • One day of outage: ~1 M€ • Total fuel cost: ~5 €/MWh • Major retrofit in France: ~50 b€ Including post-Fukushima program: ~10 b€ EDF R&D KEY FIGURES Use of Modelling &Simulation - examples Resistance to impact Tightness of the (projectiles) Seismic Analysis containment vessel Environmental impacts Behaviour of turbines Dismantling Waste Storage Tightness of the primary loop Control of nuclear Behaviour of the reactions pressure vessel EDF Modeling and Simulation policy Models Specific studies: i.e FSI interaction,irradiation, turbulence,.. Codes i.e CFD (Saturne), Neutronics (Cocagne),Mechanics (Aster) Platforms Interoperability, Users’s experience --------------------- Development Strategy - examples EDF Open-Source CFD (Saturne), Mechanics(Aster), Free Surface Flow EDF developments-not open source Neutronics, Electromagnetics, … Codevelopment/Partnership Two-phase flow (Neptune), Fast transient dynamics,.. Commercial Software: Ansys, Abaqus, EDF Modeling and Simulation policy Aero Structural Hydro Fluid Material Electro System Th-meca Neutronics Acoustics Mechanics dynamics Dynamics Simulation magn. Code fuel rod Saturne/ Dy-Laki Safari ASTER Telemac Coccinelle Carmel Cathare Cyrano Syrthes Moca Euro Estel Thyc Cocagne EDF Codes plexus Perform EMTP Non EDF Codes Mascaret Neptune Tripoli + Interoperability (SALOME)+ + Network of Partners (Nuclear Industry, European Projects, Int’l) Interoperability: The SALOME Platform Developed by EDF & CEA http://www.salome-platform.org Common services for field physics codes -Geometry definition - Meshing - Job supervision - Computation distribution - Field visualisation Open-Source software Benefit : Code improvement- Partnership - Education CFD: http://code-saturne.org Mechanics: http://code-aster.org EDF High Performance Computing Facility, 2017 900 users – Peak capacity 1800 Tflops ATHOS DEV 300 12 ASTER 5 ATHOS 5 TF 1,1 To 2300 96 18 k 800 50 TF 7 To 400 TF 50 To EOLE 32k 1160 PORTHOS 1000 TF 184 To 16 k 600 600 TF 36 To 2.7 Po 3.8 Po 8 Po 0.3 Po TGVD CASANOVA CLUSTERS 1 Po DE SEC 6400 400 . 1,5 Po SSS V2 130 TF ?? 500 To MAN 2 x 10 Gb/s Benefit from advanced multi-physics simulation Pressurized thermal shock Reactor Pressure Vessel: • Irradiation embrittlement • Behaviour under PTS transients • Multiscale modelling of irradiation defects evolution • Evaluation of the chemical composition impact on embrittlement • 3-D computation of received fluence • End-of-life toughness prediction • 3-D simulation of PTS transients • Taking into account of favourable effects (e.g. WPS) in codes Multiscale irradiation modelling Some challenge problems shown through animations EDF Current trends in numerical simulation at EDF Numerical Simulation Project management at EDF: Driven by challenges in Safety margins, Performance, Lifetime, Fuel operation, Innovative reactors --------------------- Trends: -Getting experimental validation and simulation closer -Reducing computational time real time computations (digital twins) -Making Simulation easier to perform. User’s experience - Bridging the gap between simulators and advanced modeling. Ongoing CASL-CEA-EDF collaboration Collaboration started in 2015 on the modeling of turbulent bubbly flow at the CFD scale Codes selected at first : NEPTUNE_CFD (EDF/CEA) and HYDRA-TH (CASL/LANL) • The development of the multiphase capabilities of HYDRA-TH was later suspended • Choice of CASL to develop model within available codes (STAR-CCM+ and OpenFOAM) Collaboration on turbulent bubbly flow modeling • Definition of a target experimental study • Liu and Bankoff (1993) • Turbulent, upward, adiabatic and well-instrumented bubbly flow • Four participants • EDF and CEA : develop the NEPTUNE_CFD solver • MIT : develop and implement physical models for bubbly flows in STAR-CCM+ and OpenFOAM • LANL : perform uncertainty analysis on the selected test-cases • Regular technical exchanges • Technical meetings at NURETH-15 (Chicago, September 2015) and CFD4NRS (Boston, September 2016) • Periodic conference call (~ every 6 months) Collaboration on turbulent bubbly flow modeling • Sample of results • Void-fraction profile for a low gas-fraction run : • Discrepancies in the choice of physical models (NEPTUNE_CFD simulation) • Different choices for turbulence models, turbulent dispersion, etc. • On-going physical analysis of the numerical results • Joint analysis of the role of different terms • Joint communication to be submitted to Nuclear Engineering and Design in June 2017 The NESTOR general background NESTOR experiments – Grids implemented MANIVEL Experiment OMEGA Experiment NESTOR Data • The NESTOR Data is a database (with estimated uncertainties) relevant to assess the CFD code capabilities to simulate in-PWR core flows • On Sept 30th 2016, EPRI requested written permission from EDF and CEA to provide the NESTOR data reports to both CASL and Westinghouse Electric Company (WEC) • EDF Position (Dec 02nd 2016). Data can be provided to both WEC and CASL members • EDF ready to cooperate with CASL on CFD validation. THANKS！.