Database of publicly available VVER PIE data sek HAVL Franti UJ - - PowerPoint PPT Presentation

Introduction Database features Automation of input file preparation Available experiments Database availability & future plans

Database of publicly available VVER PIE data

Frantiˇ sek HAVL ˚ UJ

Nuclear Research Institute at Rez, plc. Czech Republic

WPNCS / EG ADSNF meeting Issy-les-Moulineaux, September 22 – 24, 2008

Frantiˇ sek HAVL ˚ UJ VVER PIE Database

Introduction Database features Automation of input file preparation Available experiments Database availability & future plans

Contents

1

Introduction

2

Database features

3

Automation of input file preparation

4

Available experiments

5

Database availability & future plans

Frantiˇ sek HAVL ˚ UJ VVER PIE Database

Introduction Database features Automation of input file preparation Available experiments Database availability & future plans

VVER PIEs

few experiments are publicly available

• nly ISTC #2670 VVER-440 PIE and ORNL VVER-1000

benchmark are well-documented and complete the data are scattered among various benchmark specifications or journal articles up to now, the available data are not part of the SFCOMPO database

Frantiˇ sek HAVL ˚ UJ VVER PIE Database

Introduction Database features Automation of input file preparation Available experiments Database availability & future plans

Goals of this project

gather all publicly available VVER PIE data fill in all missing information, prepare the documentation in a consistent way, ready for simulation present them all in one place add all source descriptions to make QA effortless is not intended to be ’concurrent’ to SFCOMPO in any way; if it will be possible / reasonable, all the experiments can be readily put into SFCOMPO

Frantiˇ sek HAVL ˚ UJ VVER PIE Database

Introduction Database features Automation of input file preparation Available experiments Database availability & future plans

Consistent format

all the data are presented in as uniform way as possible conversions are made to the usual units e.g. depletion history is always presented in terms of burn time, power and down time (originally, different specifications give per-cycle burnups, powers per assembly etc.) no more conversions have to be made

Frantiˇ sek HAVL ˚ UJ VVER PIE Database

Introduction Database features Automation of input file preparation Available experiments Database availability & future plans

Traceability of all data

in many descriptions/specifications the exact sources of the data is often unclear and so are all transformations, auxiliary calculations etc. this database describes from what source were all the data exactly taken in case of any transformations or calculations these are precisely documented all numbers can be either traced to their primary sources

• r their calculation can be reproduced

no more time has to be spent verifying the data reliability

Frantiˇ sek HAVL ˚ UJ VVER PIE Database

Introduction Database features Automation of input file preparation Available experiments Database availability & future plans

Data completeness

usually, more or less data are missing in the PIE descriptions (and, unfortunately, sometimes also in benchmark specifications) all indispensable data are contained in the database – they are based on reasonable assumptions, on other similar PIEs, on calculations again, such completions/assumptions are well documented and are performed as consistently as possible

Frantiˇ sek HAVL ˚ UJ VVER PIE Database

Introduction Database features Automation of input file preparation Available experiments Database availability & future plans

Automation readiness

especially for PIE simulation it is not convenient to prepare the input files manually

• nly a few parameters differ among the particular samples

for this task a tool was developed, which can be used with any computer code/method

Frantiˇ sek HAVL ˚ UJ VVER PIE Database

Introduction Database features Automation of input file preparation Available experiments Database availability & future plans

PREDATOR tool: basic principle

template describes general geometry etc. differs for each computer code parameters construction data - dimensions, materials case-inspecific depletion history parameters sample data sample burnup sample position sample/position dependent depletion history data

Frantiˇ sek HAVL ˚ UJ VVER PIE Database

Introduction Database features Automation of input file preparation Available experiments Database availability & future plans

PREDATOR tool: a simple example (1)

template ’ sample %smpid% ... begin depletion burn=%uptime% power=&%burnup%/%uptime%& down=%downtime% end depletion ... parameters uptime 500 downtime 60 sample data smpid burnup 1 15000 2 20000 3 25000

Frantiˇ sek HAVL ˚ UJ VVER PIE Database

Introduction Database features Automation of input file preparation Available experiments Database availability & future plans

PREDATOR tool: a simple example (2)

case 1 sample 1 ... begin depletion burn=500 power=30 down=60 end depletion ... case 2 sample 2 ... begin depletion burn=500 power=40 down=60 end depletion ... case 3 sample 3 ... begin depletion burn=500 power=50 down=60 end depletion ...

Frantiˇ sek HAVL ˚ UJ VVER PIE Database

Introduction Database features Automation of input file preparation Available experiments Database availability & future plans

PREDATOR tool: other features

including files (for larger sample-dependent parts, like assembly maps) evaluating expressions (e.g. for inline unit conversions) automatic radius/diameter conversions grouping samples (e.g. by assembly) and assigning parameter values to the groups short-hand specification of some code-specific blocks (currently history description in SCALE) available on ScaleTools website (http://scaletools.lecerisier.net)

Frantiˇ sek HAVL ˚ UJ VVER PIE Database

Introduction Database features Automation of input file preparation Available experiments Database availability & future plans

Available PIEs – overview

N B [MWd/tU] VVER-440 benchmark (8th AER) VVER-440, 3.6% 11 20÷37 actinides ISTC #2670 project VVER-440, 3.6% 8 22÷47 actinides+FP Khlopin institute experiments VVER-440, 3.3% 7 8÷17 actinides VVER-440, 3.6% 10 37÷44 VVER-1000, 4.4% 10 21÷52 ORNL benchmark VVER-1000, 3.6% 2 14÷16 actinides VVER-1000, 4.4% 4 42÷47

Frantiˇ sek HAVL ˚ UJ VVER PIE Database

Introduction Database features Automation of input file preparation Available experiments Database availability & future plans

Available PIEs – enrichment/burnup

2.8 3 3.2 3.4 3.6 3.8 4 4.2 4.4 4.6 4.8 5

5000 10000 15000 20000 25000 30000 35000 40000 45000 50000 55000

enrichment [%] burnup [MWd/tUi] Available samples ISTC 2670 VVER-440 benchmark Khlopin (440) Khlopin (1000) ORNL

Frantiˇ sek HAVL ˚ UJ VVER PIE Database

Introduction Database features Automation of input file preparation Available experiments Database availability & future plans

Data quality

ISTC #2670 PIE and VVER-1000 ORNL benchmark provide all data needed for simulation VVER-440 (8th AER symposium) benchmark also gives most of the needed data Khlopin Institute measurements supply no depletion history data, only the measurements are given

Frantiˇ sek HAVL ˚ UJ VVER PIE Database

Introduction Database features Automation of input file preparation Available experiments Database availability & future plans

Preliminary results

simulation was performed for all the experiments, up to now the experiments only using TRITON (SCALE5.1) sample-averaged C/E results are presented here error bars show standard deviation among the samples

Frantiˇ sek HAVL ˚ UJ VVER PIE Database

Introduction Database features Automation of input file preparation Available experiments Database availability & future plans

TRITON results (1/4)

0.4 0.6 0.8 1 1.2 1.4 1.6 1.8 2 2.2 ag109 am241 am242m am243 ce140 ce142 cm242 cm244 cm245 cm246 cs133 cs134 cs135 cs137 C/E nuclide Sample-averaged results

Frantiˇ sek HAVL ˚ UJ VVER PIE Database

Introduction Database features Automation of input file preparation Available experiments Database availability & future plans

TRITON results (2/4)

1 2 3 4 5 6 7 8 9 10 eu151 eu153 eu154 eu155 gd155 C/E nuclide Sample-averaged results

Frantiˇ sek HAVL ˚ UJ VVER PIE Database

Introduction Database features Automation of input file preparation Available experiments Database availability & future plans

TRITON results (3/4)

0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 1.8 mo95 nd142 nd143 nd144 nd145 nd146 nd148 nd150 np237 pd105 pd108 pu238 pu239 pu240 pu241 pu242 C/E nuclide Sample-averaged results

Frantiˇ sek HAVL ˚ UJ VVER PIE Database

Introduction Database features Automation of input file preparation Available experiments Database availability & future plans

TRITON results (4/4)

0.7 0.8 0.9 1 1.1 1.2 1.3 1.4 1.5 1.6 1.7 ru101 sm147 sm148 sm149 sm150 sm151 sm152 sm154 tc99 u234 u235 u236 u238 C/E nuclide Sample-averaged results

Frantiˇ sek HAVL ˚ UJ VVER PIE Database

Introduction Database features Automation of input file preparation Available experiments Database availability & future plans

Availability on Internet

whole database is available on the project website (http://applepie.lecerisier.net) full PIE descriptions, PREDATOR input files primary data sources and literature in electronic form – available on request

Frantiˇ sek HAVL ˚ UJ VVER PIE Database

Introduction Database features Automation of input file preparation Available experiments Database availability & future plans

Future goals

submitting the data into SFCOMPO database (if possible) preparation of the input file templates for multiple computer codes (HELIOS, MURE) evaluation of the calculations (kinf impact – bias and uncertainty, correction factors)

Frantiˇ sek HAVL ˚ UJ VVER PIE Database