Why CMS5? Arthur S DiGiovine 2012 International Users Group Meeting Charlotte, NC, USA May 2-3, 2012

Transcription

1 Why CMS5? Arthur S DiGiovine 2012 Charlotte, NC, USA

2 What Problem are We trying to Solve? Economics of Core Design Fuel enrichment Number of assemblies Cycle Length Economics of Core Operation Plant availability Reduce Fuel Costs

3 Core Design / Operational Support Traditional Core Design singularly Reactor Physics based Traditional Fuel / Core Designs less complicated Radially homogeneous Axially uniform Out-in-in fresh fuel loading standard mechanical design

4 Realities of Todays Designs Axial / Radial Heterogeneities Complex Mechanical Fuel Designs Steel Reflectors Control Rod Depletion

5 Core Design / Operational Support Modern Core Design inter-discipline / multi-physics Thermal Hydraulics / Fluid Mechanics Mechanical Fuel Performance Chemistry / Fluence Back End Others? We ve beaten the solution to the Boltzmann Transport equation to death, yet still approximate the thermal hydraulics and fuel performance core characteristics ( Explicit modeling is easier than defending the approximation )

6 CASMO-4 / SIMULATE-3(K,R) Industry workhorse for fuel vendor independent core design Independent assessment of fuel vendor proposed design Several utilities licensed with regulatory agencies to perform own core design (calculation of record) Plant operational support Online monitoring Reactivity management Core Model Training Simulator Built for fuel and core designs of the 1980 s Has done a remarkable job Limited capacity to expand to realities of todays designs For today's designs and operational support more is needed More robust models, expand beyond just reactor physics

7 Evolution Of Studsvik Product Line CASMO State-of-the-Art Lattice Physics Code SIMULATE 3D, Steady-State Nodal Simulator CMSOps Automated Reactivity Management SIMULATE-3K 3D Transient and Safety Analysis XIMAGE Automated Loading Pattern Design S3R Cycle-Specific Simulator Model GARDEL Advanced Core Monitoring MARLA BWR Shuffle Optimization SNF 3D Spent Nuclear Fuel Analysis HELIOS General-Geometry Lattice Physics CMS/ENIGMA Thermo-mechanical Fuel Performance Engineering Services

8 Studsvik Product Line Operations - GARDEL Operations - CMSOPs Operations - MARLA Core Design XIMAGE / COPERNICUS CASMO / SIMULATE Backend SNF / CASKLOAD Core Design SIMULATE-3K Operations S3R Mechnical - ENIGMA

9 Modeling Features of CMS5 CASMO5 400 nuclides support for new designs as well as generation of detailed isotopic data for backend analysis Multi-assembly capability - Higher order reference calculation for new designs and licensing qualification SIMULATE5 Removal of approximations micro-depletion, multi-group, variable axial mesh, more detailed radial mesh Sub-channel voiding (BWR) TH cross flow (PWR) Fuel conductance Control rod neutronic depletion

10 Beyond Simply adding models - What makes Studsvik different? Typical Lattice Code has 50, ,00 lines of source code Neutronics Solver in CASMO5 similar lines of source code Total lines of code in CASMO5 500,000 lines of source Why the difference?

11 Engineering Features Application Most extensively tested products in the industry (literally 1000 s of reactor cycle of operation data compared to calculated results produced by CMS) Versatility Applied to every PWR/BWR fuel designs, detectors, control rods, operational techniques including NRB (SMRS, AP1000, EPR) Pyrex/WABA/IFBA/Gd/Erbia LEU (from tails to 4.95 w/o) / MOX (reprocessed and Weapons Grade) Incore Detetctors - U235 M/D, Rh, Pt, Va, gamma, neutron TIP Steel block reflectors Control rods B4C, Hafnium, Ag-In-Cd, Tungsten Customer feedback Continuously incorporated into improving software

12 CMS5 Maintain existing customer base Backward compatible SIMULATE-3 (K,R) XIMAGE GARDEL / CMSOps Address emerging design issues Steel block reflectors Small Modular Reactors (high neutron leakage, TH complications) Increased fuel design heterogeneities (axially, radially) Base for Multi-discipline expansion Thermal Hydraulics Mechanical Fuel Performance Chemistry / Fluence Back End

13 CMS5 Exploit Increased Computational Resources Data Base Modern Graphical User Interface Parrellization computing clusters

14 Dealing with New Codes Customer Perspective Qualifying a new code system Two to three years engineering analysis New Hardware Staff Training New procedures Licensing a new code system Three to five years Additional limitations e.g., NRC LIC-500

15 Conclusion Not where you are now, but where do you want to be in 3-5 years

16 International Users Group Meeting