Nodal Methods for Core Neutron Diffusion Calculations

Slides:



Advertisements
Similar presentations
1 Modal methods for 3D heterogeneous neutronics core calculations using the mixed dual solver MINOS. Application to complex geometries and parallel processing.
Advertisements

PHY 042: Electricity and Magnetism Scalar Potential Prof. Hugo Beauchemin 1.
By S Ziaei-Rad Mechanical Engineering Department, IUT.
PHYS-H406 – Nuclear Reactor Physics – Academic year CH.IV : CRITICALITY CALCULATIONS IN DIFFUSION THEORY CRITICALITY ONE-SPEED DIFFUSION MODERATION.
DIFFUSION OF NEUTRONS OVERVIEW Basic Physical Assumptions
1 A component mode synthesis method for 3D cell by cell calculation using the mixed dual finite element solver MINOS P. Guérin, A.M. Baudron, J.J. Lautard.
Chapter 3 Steady-State Conduction Multiple Dimensions
MANE 4240 & CIVL 4240 Introduction to Finite Elements Numerical Integration in 1D Prof. Suvranu De.
16/12/ Texture alignment in simple shear Hans Mühlhaus,Frederic Dufour and Louis Moresi.
1 POWER-KAERI Development of a Hexagonal Solution Module for the PARCS Code May, 2000 Progress Review.
CHE/ME 109 Heat Transfer in Electronics LECTURE 11 – ONE DIMENSIONAL NUMERICAL MODELS.
Ordinary Differential Equations Final Review Shurong Sun University of Jinan Semester 1,
MCE 561 Computational Methods in Solid Mechanics
PHY 042: Electricity and Magnetism
Differential Equations and Boundary Value Problems
Numerical Methods for Partial Differential Equations CAAM 452 Spring 2005 Lecture 9 Instructor: Tim Warburton.
Module 1 Introduction to Ordinary Differential Equations Mr Peter Bier.
CHAPTER 8 APPROXIMATE SOLUTIONS THE INTEGRAL METHOD
Autumn 2008 EEE8013 Revision lecture 1 Ordinary Differential Equations.
ME 520 Fundamentals of Finite Element Analysis
Dr. R. Nagarajan Professor Dept of Chemical Engineering IIT Madras Advanced Transport Phenomena Module 2 Lecture 4 Conservation Principles: Mass Conservation.
4-1 Lesson 4 Objectives Development of source terms Development of source terms Review of Legendre expansions Review of Legendre expansions Resulting full.
Discontinuous Galerkin Methods Li, Yang FerienAkademie 2008.
1 Atmospheric Radiation – Lecture 9 PHY Lecture 10 Infrared radiation in a cloudy atmosphere: approximations.
6. Introduction to Spectral method. Finite difference method – approximate a function locally using lower order interpolating polynomials. Spectral method.
Xianwu Ling Russell Keanini Harish Cherukuri Department of Mechanical Engineering University of North Carolina at Charlotte Presented at the 2003 IPES.
1 MODELING MATTER AT NANOSCALES 4. Introduction to quantum treatments The variational method.
1 Chapter 5: Harmonic Analysis in Frequency and Time Domains Contributors: A. Medina, N. R. Watson, P. Ribeiro, and C. Hatziadoniu Organized by Task Force.
HEAT TRANSFER FINITE ELEMENT FORMULATION
CH.III : APPROXIMATIONS OF THE TRANSPORT EQUATION
CHAP 3 WEIGHTED RESIDUAL AND ENERGY METHOD FOR 1D PROBLEMS
Copyright © The McGraw-Hill Companies, Inc. Permission required for reproduction or display. 1 Chapter 27.
Chapter 2: Heat Conduction Equation
School of Mechanical and Nuclear Engineering North-West University
ERT 216 HEAT & MASS TRANSFER Sem 2/ Dr Akmal Hadi Ma’ Radzi School of Bioprocess Engineering University Malaysia Perlis.
Lecture 3 & 4 : Newtonian Numerical Hydrodynamics Contents 1. The Euler equation 2. Properties of the Euler equation 3. Shock tube problem 4. The Roe scheme.
1 Variational and Weighted Residual Methods. 2 Introduction The Finite Element method can be used to solve various problems, including: Steady-state field.
1 CHAP 3 WEIGHTED RESIDUAL AND ENERGY METHOD FOR 1D PROBLEMS FINITE ELEMENT ANALYSIS AND DESIGN Nam-Ho Kim.
CH.III : APPROXIMATIONS OF THE TRANSPORT EQUATION
CHEM-E7130 Process Modeling Lecture 5
CH.IV : CRITICALITY CALCULATIONS IN DIFFUSION THEORY
EEE 431 Computational Methods in Electrodynamics
Development of source terms Resulting full Boltzmann Equation
Equation of Continuity
By Dr. A. Ranjbaran, Associate Professor
Beginning Chapter 2: Energy Derivation of Multigroup Energy treatment
Advanced Engineering Mathematics 6th Edition, Concise Edition
Boundary Element Analysis of Systems Using Interval Methods
Solving Systems of Linear Equations: Iterative Methods
7/21/2018 Analysis and quantification of modelling errors introduced in the deterministic calculational path applied to a mini-core problem SAIP 2015 conference.
Class Notes 7: High Order Linear Differential Equation Homogeneous
I-2. Power Method and Wielandt Shift II. Multigroup Neutron Diffusion
Chapter 22.
THE METHOD OF LINES ANALYSIS OF ASYMMETRIC OPTICAL WAVEGUIDES Ary Syahriar.
Class Notes 9: Power Series (1/3)
Finite Volume Method for Unsteady Flows
Chapter 27.
Ch 5.2: Series Solutions Near an Ordinary Point, Part I
Fast Refrigerant Property Calculations
Objective Numerical methods Finite volume.
Introduction: A review on static electric and magnetic fields
Numerical Analysis Lecture 2.
SKTN 2393 Numerical Methods for Nuclear Engineers
Simplified Algebraic Method
Second Order-Partial Differential Equations
The structure and evolution of stars
Numerical Modeling Ramaz Botchorishvili
THE LAPLACE TRANSFORM LEARNING GOALS Definition
Approximation of Functions
Approximation of Functions
Presentation transcript:

Nodal Methods for Core Neutron Diffusion Calculations Reactor Numerical Analysis and Design 1st Semester of 2008 Lecture Note 10 Nodal Methods for Core Neutron Diffusion Calculations May 8, 2008 Prof. Joo Han-gyu Department of Nuclear Engineering

Contents Transverse Integration and Resulting One-Dimensional Neutron Diffusion Equation Treatment of Transverse leakage Nodal Expansion Method with One-Node Formulation Polynomial Intra-nodal Flux Expansion Response Matrix Formulation Iterative Solution Sequence Analytic Nodal Method with Two-Node Formulation Two-Node Problem Analytic Solution of Two-Group, One-D Neutron Diffusion Eqn. Implementation with the CMFD Framework Semi-Analytic Nodal Method Polynomial Intra-nodal Source Expansion Analytic Solution for One Node

3-D Steady-State Multigroup Neutron Diffusion Equation Introduction 3-D Steady-State Multigroup Neutron Diffusion Equation Fick's Law of Diffusion for Current out of Flux Computational Node in 3-D Space Property assumed constant within each homogenized node FDM accurate only if the node size is sufficiently small (~1cm) Nodal methods to achieve high accuracy with large nodes (20 cm)

Nodal Balance Equation (NBE) Volume Averaging of Diffusion Equation for a Node Integrate over the node volume then divide by volume Volume Average Flux Integration of the Divergence Term using Gauss Theorem Surface Average Current Nodal Balance Equation for Average Quantities of Interest (Nodal Power)

Need for Transverse Integration NBE Solution Consideration Information on 6 surface average currents only required for obtaining the node average flux which will determine the nodal power Surface Average Currents Average of Flux Derivative on a Surface Equals to Derivative of Average Flux at the Surface Better to work with the neutron diffusion equation for average flux rather than one for the point wise flux (3-D) Transverse Integration Set a direction of interest (e.g. x) Perform integration within node over 2-D plane normal to the direction, then divide by plane area

Normalization of Variables Normalized Independent Variables Transformation of Integration and Derivative Operator Simplified Averaging Normalized 3-D Diffusion Equation

Transverse Integrated Quantities Transverse Integration of Leakage Term Plane Average One-Dimensional Flux Line Average Surface Current at Arbitrary Position x

Transverse Integrated One-Dimensional Neutron Diffusion Equation Transverse Integration of 3-D Neutron Diffusion Equation Define Transverse Leakage to Move to RHS Transverse Integrated One-Dimensional Neutron Diffusion Equation (Final Form) Diffusion Equivalent Group Constant

Transverse Integrated One-dimensional Neutron Diffusion Equations Set of 3 Directional 1-D Neutron Diffusion Equations 3-D Partial Differential Equation → Three 1-D Ordinary Differential Equations Coupled through average transverse leakage term Exact if the proper transverse leakages are used Approximation on Transverse Leakage Quadratic Shape (2nd order polynomial) based on observation that change of flux distribution is not sensitive to change of transverse leakage Iteratively update transverse leakage

Transverse Leakage Approximation Quadratic Approximation in Each Node Average TL Conservation Scheme to Determine l1 and l2 Use three node average transverse leakages Values of own node and two adjacent nodes Impose constraint of conserving the averages of two adjacent nodes

Nodal Expansion Method Intranodal Flux Expansion of 1-D Flux Approximate 1-D Flux by 4th Order Polynomial Basis Functions Not Orthogonal Function Integration in Range [0,1] results 0. 2nd Order Transverse Leakage

One Node Formulation Given Conditions Aim Incoming Partial Currents at Both Boundaries Quartic Intranodal Variation of Source Aim Solve for flux expansion Then update the outgoing partial current and source polynomial

Weighted Residual Method Three Physical Constraints 2 Incoming Current Boundary Conditions 1 Nodal Balance Two-Additional Conditions Required to Determine 5 Coeff. Weighted Residual Method for 1-D Neutron Diff. Eqn. 1st Moment of Neutron Diffusion Equation contains a1 which is unknown in principle 2nd Moment of Neutron Diffusion Equation contains a2 which is unknown in principle

One-Node NEM Iterative Solution Sequence For a given group Determine sequentially Source expansion coeff. a1 and a2 from previous surface fluxes a3 and a4 using source moments and a1 and a2 node average flux outgoing current Move to next group Move to next node once all groups are done Group sweep and node sweep can be reversed (node sweep then group sweep) Update eigenvalue

Analytic Nodal Method for 2-G Problem 1D, Two-Group Diffusion Equation All source terms except transverse leakage now on LHS Analytic Solution: Homogeneous + Particular Sol. Trial Homogeneous Solution

Determination of Buckling Eigenvalues Characteristic Equation For Nontrivial Solution Eigen-Buckling (Roots of Characteristic Equation) Fundamental Mode Second Harmonics Mode

Homogeneous Solutions Each Group Homogenous Solution Fundamental Mode Second-Harmonics Mode Combined Homogenous Solution Linearly Dependent Group 1 and Group 2 Equations Fast-to-Thermal Flux Ratio

Particular Solution Particular Solution for Quadratic Transverse Leakage Determined Solely by Transverse Leakage! General Solution in a Node 4 Coefficients to determine for the 2 group problem

Flux Components

Two-Node ANM Solution Boundary Condition and Given Parameters Quadratic Transverse Leakage for Two Nodes, keff Node-Average Fluxes for Two Nodes 8 Unknown Coefficients 4 per node x 2 nodes 8 Constraints  Unique Solution 4 Node Average Fluxes (2 Groups x 2 Nodes) 2 Flux Continuity at Interface (2 Groups) 2 Current Continuity at Interface (2 Groups) Solution Sequence Assume Node-Average Flux Solve for Net Currents for each Direction from 2-Node Update Node-Average Flux from Nodal Balance Repeat

Semi-analytic Nodal Method Transverse Integrated One-Dimensional Neutron Diffusion Equation for a Node and for a Group Approximation of Source with 4-th Order Legendre Polynomial Analytic Solution of Second Order Differential Equation Exponential Homogeneous and Polynomial Particular Solutions

Comparison of Accuracy for 3 Nodal Methods NEACRP L336 C5G7 MOX Benchmark Error of Various Nodal Schemes Thermal Flux UOX FA MOX FA * Reference=ANM 4x4 Calculation Fission Source

Summary and Conclusions Transverse integrated method is an innovative way of solving 3-D neutron diffusion equation which is to convert the 3-D partial differential equation into 3 ordinary differential equations based on the observation that the impact of transverse leakage onto the a directional current is weak. Transverse leakage is thus approximated by a second order polynomial and iteratively updated. NEM is simple and efficient as long as the fission source iteration scheme is applied. It thus facilitates multigroup calculations. It loses accuracy for highly varying flux problems. One-node formulation is easier to implement, but slower in convergence than the two-node formulation ANM has the best accuracy, but it is not amenable for multigroup problems SANM would be the best choice in practical applications for its simplicity, multigroup applicability, and comparable accuracy to ANM