The Use of Serpent 2 in Support of Modeling of the Transient Test Reactor at Idaho National Laboratory

Similar documents
Rattlesnake, MAMMOTH and Research in Support of TREAT Kinetics Calculations

Modeling of the Multi-SERTTA Experiment with MAMMOTH

Validation of Rattlesnake, BISON and RELAP-7 with TREAT

Idaho National Laboratory Reactor Analysis Applications of the Serpent Lattice Physics Code

Reactor Physics: General III. Analysis of the HTR-10 Initial Critical Core with the MAMMOTH Reactor Physics Application

Task 3 Desired Stakeholder Outcomes

Challenges in Prismatic HTR Reactor Physics

AN ABSTRACT OF THE THESIS OF. Anthony L. Alberti for the degree of Master of Science in Nuclear Engineering presented on

New methods implemented in TRIPOLI-4. New methods implemented in TRIPOLI-4. J. Eduard Hoogenboom Delft University of Technology

Serpent Monte Carlo Neutron Transport Code

Serpent Neutronic Calculations of Nuclear Thermal Propulsion Reactors

A Hybrid Deterministic / Stochastic Calculation Model for Transient Analysis

Hybrid Low-Power Research Reactor with Separable Core Concept

Considerations for Measurements in Support of Thermal Scattering Data Evaluations. Ayman I. Hawari

COMPARATIVE ANALYSIS OF WWER-440 REACTOR CORE WITH PARCS/HELIOS AND PARCS/SERPENT CODES

CALCULATION OF TEMPERATURE REACTIVITY COEFFICIENTS IN KRITZ-2 CRITICAL EXPERIMENTS USING WIMS ABSTRACT

A Hybrid Stochastic Deterministic Approach for Full Core Neutronics Seyed Rida Housseiny Milany, Guy Marleau

MONTE CALRLO MODELLING OF VOID COEFFICIENT OF REACTIVITY EXPERIMENT

Demonstration of Full PWR Core Coupled Monte Carlo Neutron Transport and Thermal-Hydraulic Simulations Using Serpent 2/ SUBCHANFLOW

Lectures on Applied Reactor Technology and Nuclear Power Safety. Lecture No 5. Title: Reactor Kinetics and Reactor Operation

Neutronic analysis of SFR lattices: Serpent vs. HELIOS-2

On the use of SERPENT code for few-group XS generation for Sodium Fast Reactors

Sensitivity Analyses of the Peach Bottom Turbine Trip 2 Experiment

VHTR Thermal Fluids: Issues and Phenomena

Homogenization Methods for Full Core Solution of the Pn Transport Equations with 3-D Cross Sections. Andrew Hall October 16, 2015

ANALYSIS OF THE OECD MSLB BENCHMARK WITH THE COUPLED NEUTRONIC AND THERMAL-HYDRAULICS CODE RELAP5/PARCS

SENSITIVITY ANALYSIS OF ALLEGRO MOX CORE. Bratislava, Iľkovičova 3, Bratislava, Slovakia

Neutron reproduction. factor ε. k eff = Neutron Life Cycle. x η

CANDU Safety #3 - Nuclear Safety Characteristics Dr. V.G. Snell Director Safety & Licensing

Lesson 14: Reactivity Variations and Control

Comparison of PWR burnup calculations with SCALE 5.0/TRITON other burnup codes and experimental results. Abstract

Development of 3D Space Time Kinetics Model for Coupled Neutron Kinetics and Thermal hydraulics

Sensitivity Analysis of Gas-cooled Fast Reactor

ENHANCEMENT OF COMPUTER SYSTEMS FOR CANDU REACTOR PHYSICS SIMULATIONS

REACTOR PHYSICS FOR NON-NUCLEAR ENGINEERS

YALINA-Booster Conversion Project

Excerpt from the Proceedings of the COMSOL Users Conference 2007 Grenoble

Figure 22.1 Unflattened Flux Distribution

Solving Bateman Equation for Xenon Transient Analysis Using Numerical Methods

in U. S. Department of Energy Nuclear Criticality Technology and Safety Project 1995 Annual Meeting SanDiego, CA

APPLICATION OF THE COUPLED THREE DIMENSIONAL THERMAL- HYDRAULICS AND NEUTRON KINETICS MODELS TO PWR STEAM LINE BREAK ANALYSIS

Critical Experiment Analyses by CHAPLET-3D Code in Two- and Three-Dimensional Core Models

Study on SiC Components to Improve the Neutron Economy in HTGR

Preliminary Uncertainty Analysis at ANL

VERIFICATION OF A REACTOR PHYSICS CALCULATION SCHEME FOR THE CROCUS REACTOR. Paul Scherrer Institut (PSI) CH-5232 Villigen-PSI 2

Cross Section Generation Strategy for High Conversion Light Water Reactors Bryan Herman and Eugene Shwageraus

PWR CONTROL ROD EJECTION ANALYSIS WITH THE MOC CODE DECART

DEVELOPMENT AND VALIDATION OF SCALE NUCLEAR ANALYSIS METHODS FOR HIGH TEMPERATURE GAS-COOLED REACTORS

Reactivity Coefficients

Computational and Experimental Benchmarking for Transient Fuel Testing: Neutronics Tasks

CONTROL ROD WORTH EVALUATION OF TRIGA MARK II REACTOR

Advanced Multi-Physics Modeling & Simulation Efforts for Fast Reactors

Monte Carlo neutron transport and thermal-hydraulic simulations using Serpent 2/SUBCHANFLOW

Cost-accuracy analysis of a variational nodal 2D/1D approach to pin resolved neutron transport

Extension of the MCBEND Monte Carlo Code to Perform Adjoint Calculations using Point Energy Data

Symmetry in Monte Carlo. Dennis Mennerdahl OECD/NEA/NSC/WPNCS/AMCT EG, Paris, 18 September 2014

Malcolm Bean AT THE MAY All Rights Reserved. Signature of Author: Malcolm Bean Department of Nuclear Science and Engineering

JOYO MK-III Performance Test at Low Power and Its Analysis

Click to edit Master title style

REACTOR PHYSICS ASPECTS OF PLUTONIUM RECYCLING IN PWRs

Lecture 28 Reactor Kinetics-IV

Introduction to Reactivity and Reactor Control

NEUTRON PHYSICAL ANALYSIS OF SIX ENERGETIC FAST REACTORS

USE OF LATTICE CODE DRAGON IN REACTOR CALUCLATIONS

Continuous Energy Neutron Transport

DEVELOPMENT OF A COUPLED CODE SYSTEM BASED ON SPACE SAFETY ANALYSIS CODE AND RAST-K THREE-DIMENSIONAL NEUTRONICS CODE

USA HTR NEUTRONIC CHARACTERIZATION OF THE SAFARI-1 MATERIAL TESTING REACTOR

Uncertainty quantification using SCALE 6.2 package and GPT techniques implemented in Serpent 2

Fuel Element Burnup Determination in HEU - LEU Mixed TRIGA Research Reactor Core

EVALUATION OF PWR AND BWR CALCULATIONAL BENCHMARKS FROM NUREG/CR-6115 USING THE TRANSFX NUCLEAR ANALYSIS SOFTWARE

Chem 481 Lecture Material 4/22/09

(1) SCK CEN, Boeretang 200, B-2400 Mol, Belgium (2) Belgonucléaire, Av. Arianelaan 4, B-1200 Brussels, Belgium

Nonlinear Iterative Solution of the Neutron Transport Equation

Fundamentals of Nuclear Reactor Physics

Department of Engineering and System Science, National Tsing Hua University,

THERMAL HYDRAULIC REACTOR CORE CALCULATIONS BASED ON COUPLING THE CFD CODE ANSYS CFX WITH THE 3D NEUTRON KINETIC CORE MODEL DYN3D

Physics Codes and Methods for CANDU Reactor

Dose Rates Modeling of Pressurized Water Reactor Primary Loop Components with SCALE6.0

ABSTRACT 1 INTRODUCTION

OECD/NEA Transient Benchmark Analysis with PARCS - THERMIX

Lectures on Applied Reactor Technology and Nuclear Power Safety. Lecture No 4. Title: Control Rods and Sub-critical Systems

Coupled Neutronics Thermalhydraulics LC)CA Analysis

Scope and Objectives. Codes and Relevance. Topics. Which is better? Project Supervisor(s)

Use of Monte Carlo and Deterministic Codes for Calculation of Plutonium Radial Distribution in a Fuel Cell

Raven Facing the Problem of assembling Multiple Models to Speed up the Uncertainty Quantification and Probabilistic Risk Assessment Analyses

Preventing xenon oscillations in Monte Carlo burnup calculations by forcing equilibrium

Fine-mesh multiphysics of LWRs: two-phase flow challenges and opportunities

Benchmark Experiment for Fast Neutron Spectrum Potassium Worth Validation in Space Power Reactor Design

The Pennsylvania State University. The Graduate School. Department of Mechanical and Nuclear Engineering

Reactor Kinetics and Operation

Benchmark Calculation of KRITZ-2 by DRAGON/PARCS. M. Choi, H. Choi, R. Hon

Sodium void coefficient map by Serpent

Three-dimensional RAMA Fluence Methodology Benchmarking. TransWare Enterprises Inc., 5450 Thornwood Dr., Suite M, San Jose, CA

RECENT DEVELOPMENTS IN COMPUTATIONAL REACTOR ANALYSIS

Application of the Dynamic Control Rod Reactivity Measurement Method to Korea Standard Nuclear Power Plants

Application of the next generation of the OSCAR code system to the ETRR-2 multi-cycle depletion benchmark

TOWARDS A COUPLED SIMULATION OF THERMAL HYDRAULICS AND NEUTRONICS IN A SIMPLIFIED PWR WITH A 3x3 PIN ASSEMBLY

COMPARISON OF DIRECT AND QUASI-STATIC METHODS FOR NEUTRON KINETIC CALCULATIONS WITH THE EDF R&D COCAGNE CODE

MSR Reactor Physics Dynamic Behaviour. Nuclear Reactor Physics Group Politecnico di Torino. S. Dulla P. Ravetto

arxiv: v2 [physics.ins-det] 22 Nov 2017

Transcription:

The Use of Serpent 2 in Support of Modeling of the Transient Test Reactor at Idaho National Laboratory Sixth International Serpent User s Group Meeting Politecnico di Milano, Milan, Italy 26-29 September, 2016 www.inl.gov Mark D. DeHart, PhD Deputy Director for Reactor Physics Modeling and Simulation Idaho National Laboratory, USA

TREAT Modeling and Simulation No (unclassified) method is readily available accurate 3D transient simulations for TREAT Streaming channels both horizontally and vertically are a challenge for ALL deterministic methods. The small size of the core (~193 x 193 x 122cm) and the long mean free path in graphite makes cross section generation three-dimensional Serpent has been instrumental in developing appropriate few-group cross sections

The INL Transient Test Reactor

First Experiments Static Environment Rodlet Transient Test Apparatus (SERTTA) General purpose devices without forced convection Pre-pressurized and electrically heated Liquid water up to PWR condition (320 C 16 MPa) Inert gas or steam Liquid sodium Two SERTTA s under development 4X capsule Multi-SERTTA 1X capsule Super-SERTTA At present MAMMOTH is the only means available to assess the transient performance of these capsules. SERTTA shown in TREAT core ¾ section view Secondary containment shroud ( can ) visible

Multi-SERTTA Best for smaller scale specimens and four-forone testing (concept screening) Planned to be the first new test to be used in restarted TREAT Even modeling with Serpent will be difficult (statistics) Modeling with an unstructured mesh deterministic method will be a challenge. However, that is our ultimate plan. This will be a challenge to generate cross sections for using any present method.

How TREAT works Three sets of control rods Safety fully out for transient Compensation partially inserted to set critical state pretransient Transient partially inserted for desired delta-k, then rapidly fully withdrawn Core is 100 ppm highly enriched uranium very little resonance absorption As core heats, a shift in the thermal Maxwellian takes the core back to a new critical state; eventually rods are driven in to shut down

Modeling TREAT with MAMMOTH MAMMOTH has been built using the MOOSE framework (Multi-physics Object Oriented Simulation Environment) MOOSE allows implicit, strong, and loose coupling of MOOSE animal solutions MAMMOTH is the MOOSE-based multi-physics reactor analysis tool. At present, TREAT core simulation efforts rely on BISON (fuel performance), Rattlesnake (time-dependent neutron transport) and MAMMOTH. LWR-type pin experiments are being evaluated using RELAP-7 as well. Note that MAMMOTH is a single executable code with multiple personalities all coexisting. All codes are based on FEM MOOSE routines perform all solutions. All data from all codes is available to the solver(s) used. Nothing like this exists elsewhere MAMMOTH is earth-shaking.

Application of Serpent The neutron transport solver within MAMMOTH is Rattlesnake. Finite element unstructured-mesh solver First and second order S n, P n, and diffusion solve capabilities Solves time-dependent version of transport equation with delayed neutrons Capable of solving three dimensional rapid transient analysis Multi-group solver needs appropriately weighted cross sections Serpent was selected as the main cross section preparation tool for this project because it offers 3-D spatial homogenization and group constant generation for deterministic reactor simulator calculations. At the same time, Serpent 2 provides a detailed reference calculation without energy, angular, or spatial discretization error. The neutron cross sections used in Serpent 2 are based on ENDF/B-VII.1. Serpent has been in use at the Idaho National Laboratory since 2010 (used for LEU conversion analysis and fuel design for the Advanced Test Reactor and for HTGR and Advanced Test Reactor designs).

Challenges in TREAT Cross Sections Previous research indicated two deficiencies that adversely affect the power distribution in the the axial streaming in the air channels that surround each element the lack of an equivalence procedure to preserved reaction rates in controlled elements. The (current) M8 calibration configuration also includes a half slotted core with large void channels (~ 10cm x 120 cm x 90cm) inside core an experiment vehicle with significant void regions Angular fluxes are extremely anisotropic a challenge to high order S n methods as well. Diffusion coefficient calculations fail even in Serpent. Currently Serpent does not currently have the capability to generate anisotropic diffusion coefficients to allow better modeling of neutron streaming effects with a diffusion solver. We still rely heavily on Serpent for base cross sections TREAT cross section processing is three dimensional. Serpent also provides our reference solution for steady state calculations.

Correcting the Incorrect INL has developed the capability to calculate tensor (anisotropic) diffusion coefficients (TDCs) using the Larsen-Trahan approach (requires transport solution in Rattlesnake. Added Hébert s generalized Super Homogenization method to preserve the reaction rate between the macro and reference calculations to correct for streaming. Corrected cross sections are tabulated as a function of zones (multiple zones in single material to account for spatial effects from reflector and control rods) For transient calculations, also tabulated for temperature and control rod position.

Serpent Core Calculations Detailed core calculation using Serpent Few group (10-11 g) cross sections produced for axial and radial zones Cross sections are applied in a detailed a rectilinear finite element mesh for predetermined spatial regions. Given the reference Serpent calculation and a Rattlesnake calculation on the homogenized mesh, an SPH correction factor is calculated for each homogenized region and each energy group. Cross sections are modified to used in subsequent calculations. For TDC calculations a detailed Sn solution is required No benefit for air gap Needed for slot region

So Why Not Just Use Serpent??? 1. Rattlesnake is coupled to BISON (fuels performance) within MAMMOTH. Rattlesnake calculates fluxes to get power density for an assumed temperature Bison uses power density to calculation temperature distribution MAMMOTH updates cross sections for temperature distributions Rattlesnake recalculates fluxes MAMMOTH iterates to convergence Not needed at critical but at power the core has a temperature distribution Multi-physics solution is imperative for resolution of physics of experiments inside core 2. Rattlesnake directly solves the time-dependent form of the transport equation with delayed neutrons to simulate power excursions with control rod motion. 3. Rattlesnake s diffusion solution is much faster than a Serpent solution for the same domain. 4. Streaming to the hodoscope and interactions in the target have poor statistics 5. TREAT is the most thermal of thermal systems. Slow tracking in MC.

Moving Forward Dr. Leslie Kerby has already presented her work on BISON-Serpent coupling Within the next year we hope to have a converged solution for TREAT at power with BISON and Serpent. Serpent now has delayed neutron solutions that to Ville s work/serpent 2.1.27 Work is underway to allow Serpent is able to calculate a anisotropic diffusion coefficient in the future. Weighted delta tracking research under Dr. Kerby will perhaps accelerate Serpent solutions However, it may be that all the air streaming channels in TREAT will defeat delta tracking Sedat Goluoglu at University of Florida has coupled Monte Carlo (KENO) with the Improved Quasi-Static (IQS) method in T-ReX (formerly TDKENO) He is looking at doing the same with Serpent IQS requires an adjoint solution for weighting kinetics parameters Perhaps these can be calculated by Serpent without an adjoint? Variance reduction may help with experiment and hodoscope resolution Transient data is available from historical TREAT operations for benchmarking. We will be looking at TREAT simulations with Serpent in the very near future!

Q U E S T I O N S?