Developments in the Modeling & Simulation Program at EDF.Potential Collaboration Topics

CASL Industry Council Meeting. Charleston, SC. April 4-5 2017

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Presentation outlineEDF’s M&S tools and software policy

Current trends in numerical simulation

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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

Behaviour of turbines

Tightness of the primary loop

Resistance to impact (projectiles)Tightness of the

containment vessel

Behaviour of the pressure vessel

DismantlingWaste Storage

Control of nuclear reactions

Environmental impacts

Seismic Analysis

EDF Modeling and Simulation policyModels Specific studies: i.e FSI interaction,irradiation, turbulence,..

Codesi.e CFD (Saturne), Neutronics (Cocagne),Mechanics (Aster)

Platforms Interoperability, Users’s experience---------------------

Development Strategy - examplesEDF 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,

ASTER

Europlexus

StructuralMechanics

Tripoli

Coccinelle

Cocagne

Neutronics

Dy-LakiMoca

Perform

MaterialSimulation

Saturne/Syrthes

Neptune

Thyc

Fluid Dynamics

Telemac

Estel

Mascaret

Hydrodynamics

Carmel

Electromagn.

Cyrano

Th-mecafuel rod

Cathare

SystemCode

AeroAcoustics

Safari

EDF Codes

Non EDF Codes

+ Interoperability (SALOME)+

+ Network of Partners (Nuclear Industry, European Projects, Int’l)

EMTP

EDF Modeling and Simulation policy

Interoperability: The SALOME PlatformDeveloped 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 softwareBenefit : Code improvement-Partnership - Education

Mechanics: http://code-aster.orgCFD: http://code-saturne.org

ATHOS

18 k

400 TF

800

50 To

ATHOS DEV

300

5 TF

12

1,1 ToASTER 5

2300

50 TF

96

7 To

PORTHOS

16 k

600 TF

600

36 To

CASANOVA

6400

130 TF

400

??

1000 TF

SSS V2500 To

TGVD1 Po

CLUSTERSDE SEC.

1,5 Po

MAN2 x 10 Gb/s

EOLE32k 1160

184 To

0.3 Po

8 Po

2.7 Po

3.8 Po

EDF High Performance Computing Facility, 2017900 users – Peak capacity 1800 Tflops

Reactor Pressure Vessel:• Irradiation embrittlement• Behaviour under PTS transients

• Multiscale modelling of irradiation defects evolution

• Evaluation of the chemical compositionimpact 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

Benefit from advanced multi-physics simulationPressurized thermal shock

Multiscale irradiation modelling

EDF

Some challenge problems shown through animations

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.

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 latersuspended

• Choice of CASL to develop model within available codes (STAR-CCM+ and OpenFOAM)

Ongoing CASL-CEA-EDF collaboration

• 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• 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

(NEPTUNE_CFD simulation)

Collaboration on turbulent bubbly flow modeling

The NESTOR general background

NESTOR experiments – Grids implemented

MANIVEL Experiment

OMEGA Experiment

• 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.

NESTOR Data

THANKS！