Sandia National Laboratories conducted experiments using a Dry Cask Simulator (DCS) to validate computational fluid dynamics (CFD) models for spent nuclear fuel storage cask thermal analyses. The DCS uses a scaled prototype boiling water reactor assembly inside a pressure vessel to simulate internal conditions of dry casks. Thermocouples measure temperature profiles under various decay heat and helium pressure conditions to model aboveground and belowground cask storage. Initial testing of the aboveground configuration showed good agreement between experimental temperature measurements and CFD simulations, within estimated uncertainties.
Subsystem Squeak & Rattle Analysis Using Altair’s Squeak and Rattle Director...Altair
LOGEengine is an integrated simulation method for the prediction and optimization of engine in-cylinder performance parameters and studies of fuel effects on exhaust emissions. It contains a stochastic reactor model for 0D modelling (0d-SRM) with local effects in gas-phase space, direct fuel injection, temperature and species concentrations as random variables, detailed chemical kinetics, prediction of engine exhaust emissions (Soot, NOx, uHC), turbulence consideration via mixing modeling and self-calibration. LOGEengine can also model soot formation for diesel engines using detailed kinetic soot models, with gas phase chemistry, soot particle inception, condensation, coagulation, surface growth and oxidation. It can run equivalence ratio - Temperature (f-T ) diagnostics maps for analysis of regimes of emission formation in diesel engines using zero-dimensional methods with low CPU cost. It analyses local inhomogeneities in gas-phase space for species concentration and temperature due to mixing, fuel injection and heat transfer to cylinder walls, and their influence on soot and NOx formation from different fuels and in individual combustion cycles.
Presentation given by Jon Gibbins of the University of Edinburgh (on behalf of Karen Finney, University of Leeds) on "Gas-FACTS - Future Advanced Capture Technology Systems" at the UKCCSRC Gas CCS Meeting, University of Sussex, 25 June 2014
This software is designed for Marine Bunker Surveyors to minimize time in bunker quantification following API-MPMS guidelines. It also contains some other conversion tools which are really important to calculate the fuel characteristics like Shell CCAI, BP CII, Net and Gross Specific Energy, Injection, Temperature based on measured viscosity, density conversion tools and much more.
This presentation is intended to compare the manual and computerized calculation. This software can be customized for any fuel carrying barge requiring LIST and TRIM correction. It can also be usable to manage the fuel storage system in any Tank Firm.
Experimental investigate to obtain the effectiveness of regenerator using Air.IJESFT
The regenerator is a kind of heat exchanger that provides a way to get the gas to the low temperature with as much potential work (cooling power) as possible without carrying a lot of heat with it. It doesn’t put heat in or out of the system but it absorbs heat from the gas on one part of the pressure cycle and returns heat to the gas on the other part.
More recent applications of regenerators in cryogenic systems can be found in small cryogenic refrigerators (cryocoolers). Systems such as the Stirling Gifford-McMahon, pulse tube, Solvay, Vuilleumier and magnetic cycle refrigerators all use either a static or rotary regenerator. In fact, the success these coolers have achieved is directly related to the characteristics of compact size and efficiency of the regenerator.
Regenerator effectiveness of 99% results in 21% loss of refrigeration effect, similarly regenerator effectiveness of 98% results in 42% loss of refrigeration effect, with refrigeration effectiveness of 95.238% the loss of refrigeration is 100%. i.e. no net cooling is produced.
In cryogenic applications the regenerator is typically made up of 100 to 500 meshes SS 304, Phosphorous bronze screens or small lead spheres (150 to 300 micro meters) are used, that are tightly packed together and held in place on either end in the same manner.
To develop experimental setup at our laboratory level by using air as working fluid and find out the effectiveness of various regenerative materials is basic goal of this work.
Chato low gravity cryogenic liquid acquisition for space exploration 2014David Chato
NASA is currently developing propulsion system concepts for human exploration. These propulsion concepts will require the vapor free acquisition and delivery of the cryogenic propellants stored in the propulsion tanks during periods of microgravity to the exploration vehicles engines. Propellant management devices (PMD’s), such as screen channel capillary liquid acquisition devices (LAD’s), vanes and sponges currently are used for earth storable propellants in the Space Shuttle Orbiter and other spacecraft propulsion systems, but only very limited propellant management capability currently exists for cryogenic propellants. NASA is developing PMD technology as a part of their cryogenic propellant storage and transfer (CPST) project. System concept studies are looking at the key factors that dictate the size and shape of PMD devices and established screen channel LADs as an important component of PMD design. Normal gravity experiments and modeling are studying the behavior of the flow in LAD channel assemblies (as opposed to only prior testing of screen samples ) at the flow rates representative of actual engine service. Recently testing of LAD channels in liquid Hydrogen was completed. Three different types of test were conducted: Measurement of the pressure drop for flow through a one inch diameter screen sample; Measurement of the pressure drop in a horizontally-mounted rectangular LAD channel assembly at flow rates representative of a main engine firing; and determination of bubble breakthrough for flow into a partially-immersed vertically-mounted LAD channel. This presentation will present an overview of low gravity cryogenic liquid acquisition strategies, review the findings of this recent test series, and discuss the implications of the testing and studies to exploration mission concepts.
Subsystem Squeak & Rattle Analysis Using Altair’s Squeak and Rattle Director...Altair
LOGEengine is an integrated simulation method for the prediction and optimization of engine in-cylinder performance parameters and studies of fuel effects on exhaust emissions. It contains a stochastic reactor model for 0D modelling (0d-SRM) with local effects in gas-phase space, direct fuel injection, temperature and species concentrations as random variables, detailed chemical kinetics, prediction of engine exhaust emissions (Soot, NOx, uHC), turbulence consideration via mixing modeling and self-calibration. LOGEengine can also model soot formation for diesel engines using detailed kinetic soot models, with gas phase chemistry, soot particle inception, condensation, coagulation, surface growth and oxidation. It can run equivalence ratio - Temperature (f-T ) diagnostics maps for analysis of regimes of emission formation in diesel engines using zero-dimensional methods with low CPU cost. It analyses local inhomogeneities in gas-phase space for species concentration and temperature due to mixing, fuel injection and heat transfer to cylinder walls, and their influence on soot and NOx formation from different fuels and in individual combustion cycles.
Presentation given by Jon Gibbins of the University of Edinburgh (on behalf of Karen Finney, University of Leeds) on "Gas-FACTS - Future Advanced Capture Technology Systems" at the UKCCSRC Gas CCS Meeting, University of Sussex, 25 June 2014
This software is designed for Marine Bunker Surveyors to minimize time in bunker quantification following API-MPMS guidelines. It also contains some other conversion tools which are really important to calculate the fuel characteristics like Shell CCAI, BP CII, Net and Gross Specific Energy, Injection, Temperature based on measured viscosity, density conversion tools and much more.
This presentation is intended to compare the manual and computerized calculation. This software can be customized for any fuel carrying barge requiring LIST and TRIM correction. It can also be usable to manage the fuel storage system in any Tank Firm.
Experimental investigate to obtain the effectiveness of regenerator using Air.IJESFT
The regenerator is a kind of heat exchanger that provides a way to get the gas to the low temperature with as much potential work (cooling power) as possible without carrying a lot of heat with it. It doesn’t put heat in or out of the system but it absorbs heat from the gas on one part of the pressure cycle and returns heat to the gas on the other part.
More recent applications of regenerators in cryogenic systems can be found in small cryogenic refrigerators (cryocoolers). Systems such as the Stirling Gifford-McMahon, pulse tube, Solvay, Vuilleumier and magnetic cycle refrigerators all use either a static or rotary regenerator. In fact, the success these coolers have achieved is directly related to the characteristics of compact size and efficiency of the regenerator.
Regenerator effectiveness of 99% results in 21% loss of refrigeration effect, similarly regenerator effectiveness of 98% results in 42% loss of refrigeration effect, with refrigeration effectiveness of 95.238% the loss of refrigeration is 100%. i.e. no net cooling is produced.
In cryogenic applications the regenerator is typically made up of 100 to 500 meshes SS 304, Phosphorous bronze screens or small lead spheres (150 to 300 micro meters) are used, that are tightly packed together and held in place on either end in the same manner.
To develop experimental setup at our laboratory level by using air as working fluid and find out the effectiveness of various regenerative materials is basic goal of this work.
Chato low gravity cryogenic liquid acquisition for space exploration 2014David Chato
NASA is currently developing propulsion system concepts for human exploration. These propulsion concepts will require the vapor free acquisition and delivery of the cryogenic propellants stored in the propulsion tanks during periods of microgravity to the exploration vehicles engines. Propellant management devices (PMD’s), such as screen channel capillary liquid acquisition devices (LAD’s), vanes and sponges currently are used for earth storable propellants in the Space Shuttle Orbiter and other spacecraft propulsion systems, but only very limited propellant management capability currently exists for cryogenic propellants. NASA is developing PMD technology as a part of their cryogenic propellant storage and transfer (CPST) project. System concept studies are looking at the key factors that dictate the size and shape of PMD devices and established screen channel LADs as an important component of PMD design. Normal gravity experiments and modeling are studying the behavior of the flow in LAD channel assemblies (as opposed to only prior testing of screen samples ) at the flow rates representative of actual engine service. Recently testing of LAD channels in liquid Hydrogen was completed. Three different types of test were conducted: Measurement of the pressure drop for flow through a one inch diameter screen sample; Measurement of the pressure drop in a horizontally-mounted rectangular LAD channel assembly at flow rates representative of a main engine firing; and determination of bubble breakthrough for flow into a partially-immersed vertically-mounted LAD channel. This presentation will present an overview of low gravity cryogenic liquid acquisition strategies, review the findings of this recent test series, and discuss the implications of the testing and studies to exploration mission concepts.
This presentation was originally delivered at AFCOM's Data Center World conference in May, 2014 in Las Vegas, Nevada. The presentation discuss the state of cooling and airflow management, and also introduces Upsite's newest solution, AisleLok Modular containment. For more information, please visit http://upsite.com/aislelok-modular-containment
Photovoltaic thermal (PV/T) collectors with nanofluids and nano-Phase Change ...Ali Al-Waeli
The presentation is derived from my PhD viva presentation which focuses on the topic of Photovoltaic thermal (PV/T) collectors with nanofluids and nano-Phase Change Material.
Presented by: Dr. Ali Hussein A. Alwaeli
Presentation given by Dr David Vega-Maza from University of Aberdeen on "Vapour-Liquid and Solid-Vapour-Liquid Equilibria of the System (CO2 + H2) at Temperatures Between (218 and 303) K and at Pressures up to 15 MPa" in the Effects of Impurities Technical Session at the UKCCSRC Biannual Meeting - CCS in the Bigger Picture - held in Cambridge on 2-3 April 2014
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
Knowledge engineering: from people to machines and back
03 dry cask simulator experiments for cfd validation durbin sand2017 4330 c
1. Sandia National Laboratories is a multi-program laboratory managed and operated by Sandia
Corporation, a wholly owned subsidiary of Lockheed Martin Corporation, for the U.S. Department
of Energy’s National Nuclear Security Administration under contract DE-AC04-94AL85000.
Dry Cask Simulator
Experiments for
CFD Validation
Sam Durbin, Eric Lindgren,
Abdelghani Zigh*, and
Jorge Solis*
* Nuclear Regulatory Commission
SAND2017-4330 C
2. Overview
Purpose: Validate assumptions in CFD
calculations for spent fuel cask thermal design
analyses
Used to determine steady-state cladding
temperatures in dry casks
Needed to evaluate cladding integrity
throughout storage cycle
Measure temperature profiles for a wide range
of decay power and helium cask pressures
Mimic conditions for above and belowground
configurations of vertical, dry cask systems with
canisters
Simplified geometry with well-controlled
boundary conditions
Provide measure of mass flow rates and
convection heat transfer coefficients
Use existing prototypic BWR Incoloy-clad test
assembly 2
Underground Storage
Source: ww.holtecinternational.com/productsandservices/
wasteandfuelmanagement/hi-storm/
Aboveground Storage
Source: www.nrc.gov/reading-rm/doc-
collections/fact-sheets/storage-spent-fuel-fs.html
(m)
(m)
Temp. (K)
3. Project Structure
Boiling Water Reactor Dry Cask Simulator (DCS)
Partnership between USNRC and DOE
Equal cost sharing
NRC staff leads technical review
Mutual benefits
Thermal-hydraulic data for validation exercises
Complimentary data for High-Burnup Cask Demonstration Project
Includes thermal lance comparisons to peak cladding temperature (PCT)
3
4. Past Validation Efforts
Full Scale
Full scale, unconsolidated
Castor-V/21 cast iron/graphite with polyethylene rod shielding
1986: EPRI NP-4887, PNL-5917
21 PWRs
95 Thermocouples (TC’s) total
Unventilated
Sub-atmospheric (air and He) and vacuum
REA 2023 prototype steel-lead-steel cask with glycol water shield
1986: PNL-5777 Vol. 1
52 BWRs
70 TC’s total
Unventilated
Sub-atmospheric (air & He) and vacuum
Full scale, consolidated
VSC-17 ventilated concrete cask
1992: EPRI TR-100305, PNL-7839
17 consolidated PWRs
98 Thermocouples (TC’s) total
Ventilated
Sub-atmospheric (air and He) and vacuum 4
5. Past Validation Efforts (cont.)
Unconsolidated Fuel
5
Small scale, single assembly
FTT (irradiated, vertical) and SAHTT (electric, vertical & horizontal)
1986 PNL-5571
Single 15x15 PWR
Thermocouples (TC’s)
– FTT: 187 TC’s total
– SAHTT: 98 TC’s total
BC: Controlled cask outer wall temperature
Atmospheric (air & He) and vacuum
Mitsubishi test assembly (electric, vertical & horizontal)
1986 IAEA-SM-286/139P
Single 15x15 PWR
92 TC’s total, all distributed over 4 levels inside tube bundle
BC: Controlled outer wall temperature of fuel tube
Atmospheric (air & He) and vacuum
Not appropriate for elevated helium pressures or
belowground configurations
6. Current Approach
Focus on pressurized canister systems
DCS capable of 24 bar internal pressure @ 400 ◦C
Current commercial designs up to ~8 bar
Ventilated designs
Aboveground configuration (This presentation)
Belowground configuration
With crosswind conditions
Thermocouple (TC) attachment allows better
peak cladding temperature measurement
0.030” diameter sheath
Tip in direct contact with cladding
Provide validation quality data for CFD
Complimentary to High-Burnup Cask Demo. Project
6
7. DCS Pressure Vessel Hardware
Scaled components with instrumentation well
Coated with ultra high temperature paint
7
8. Prototypic Assembly Hardware
Most common 99 BWR in US
Prototypic 99 BWR hardware
Full length, prototypic 99 BWR
components
Electric heater rods with Incoloy
cladding
74 fuel rods
8 of these are partial length
Partial length rods 2/3 the
length of assembly
2 water rods
7 spacers
8
Nose piece and
debris catcher
BWR channel, water tubes
and spacers
Upper tie plate
9. Thermocouple Layout
97 total TC’s internal to assembly
10 TC’s mounted to channel box
7 External wall
24 in. spacing starting at 24 in. level
3 Internal wall
96, 119, and 144 in. levels
9
Radial Array
24” spacing
11 TC’s each level
66 TC’s total (details below)
Axial array A1
6” spacing
20 TCs
Axial array A2
12” spacing – 7 TC’s
Water rods inlet and exit – 4 TC’s
Total of 97 TCs
24”
48”
72”
96”
119”
144”
Internal Thermocouples
a b c d e f g h i
Q
R
S
T
U
V
X
Y
Z
24” & 96” levels 48” & 119” levels 72” & 144” levels
a b c d e f g h i
Q
R
S
T
U
V
X
Y
Z
a b c d e f g h i
Q
R
S
T
U
V
X
Y
Z
10. CYBL Test Facility
Large stainless steel
containment
Repurposed from earlier
CYLINDRICAL BOILING Testing
sponsored by DOE
Excellent general-use
engineered barrier for isolation
of high-energy tests
3/8 in. stainless steel
17 ft diam. by 28 ft cylindrical
workspace
Part of the Nuclear Energy
Work Complex (NEWC)
10
11. Aboveground Configuration
11
Pressure
Boundary
BWR Dry Cask Simulator (DCS)
system capabilities
Power: 0.1 – 15 kW
Pressure vessel: 3E-3 – 24 bar
Vessel temperatures up to 400 C
~200 thermocouples throughout
system
Test conditions presented here
Power: 0.5 – 5 kW
Pressure: 3E-3 – 8 bar
Air velocity measurements at inlets
Calculate external mass flow rate
12. Internal Dimensional Analyses
Internal flow and convection near
prototypic
Prototypic geometry for fuel and basket
Downcomer scaling insensitive to wide
range of decay heats
External cooling flows matched using
elevated decay heat
Downcomer dimensionless groups
12
Parameter
Aboveground
DCS
Low Power
DCS
High Power
Cask
Power (kW) 0.5 5.0 36.9
ReDown 170 190 250
RaH
* 3.1E+11 5.9E+11 4.6E+11
NuH 200 230 200
Downcomer
“Canister”Channel
Box
“Basket”
13. External Dimensional Analyses
13
External
cooling
flow path
Parameter
Aboveground
DCS
Low Power
DCS
High Power
Cask
Power (kW) 0.5 5.0 36.9
ReEx 3,700 7,100 5,700
RaDH
* 2.7E+08 2.7E+09 2.3E+08
(DH, Cooling / HPV) × RaDH
* 1.1E+07 1.1E+08 4.8E+06
NuDH 16 26 14
External cooling flows evaluated
against prototypic
External dimensionless groups
1 in.1 cm
14. Steady State Values vs. Decay Heat
14
PCT and air flow as
simulated decay heat
Significant increase in
PCT for P = 3E-3 bar
Due to air in “canister”
instead of helium
15. Transient Data
15
Power = 2.5 kW
Internal pressure = 1.0 bar
Steady state values
PCT = 570 K
Q = 673 slpm
16. CFD Modeling
16
Computational fluid dynamics modeling
ANSYS Fluent 16.1
Discrete Ordinates (DO) for radiation heat transfer
Semi-Implicit Method for Pressure-Linked Equations (SIMPLE)
Link for momentum and continuity equations
3-D mesh with symmetric mid-plane
Fuel represented as porous media
Internal laminar flow
External Low-Re k-ε
Modeling performed consistent with best practices and
best available data representing fuel properties
NUREG-2152, “CFD Best Practice Guidelines for Dry Cask Applications”
NUREG-2208, “Validation of CFD Methods Using Prototypic Light
Water Reactor Spent Fuel Assembly Thermal-Hydraulic Data”
18. Graphical Steady State Comparisons
18
PCT average difference of 2 K
across all conditions
95% exp. uncertainty
+/- 1% reading in Kelvin
(UPCT, max = 7 K)
Max. observed difference = 9 K
(5 kW and 4.5 bar)
Air flow rate average difference of
-8 slpm for all conditions
95% exp. uncertainty of UQ = 35 slpm
Max. observed difference = -20 slpm
(5 kW and 8.0 bar)
19. Summary
19
Dry cask simulator (DCS) testing complete for
aboveground configuration
12 data sets available for pressurized canister
conditions
3 data sets available for sub-atmospheric
Comparisons with CFD simulations show
favorable agreement
Within experimental uncertainty for nearly all cases
Additional steady state comparisons for basket,
“canister”, and “overpack” also show good agreement
21. Custom TC Lance
21
Compliments the TC lance in
the Cask Demo Project
Same fabricator (AREVA)
“Same” materials and
fabrication process
– Closure method for SNL TC
lance significantly different
– Sealed using brazing method
with water-based flux
TC elevations match BWR
assembly TCs
Provides direct comparison
between lance TCs and clad TCs
TC Lance
22. Thermocouple (TC) Lance Anomalies
“Glitches” observed in SNL TC
lance
Sharp changes in dT/dt
Coincidentally occurring near
~100 oC?
Generally recovered by end of
Steady State
Discussions with vendor
revealed unique closure for SNL
TC lance
Hypothesis developed that TC
chamber contaminated with
water
Closure formed by brazing
with water-based flux
22
23. Proposed Solution: Vent TC Lance
23
Pierce lance collar below
brazed seal
Introduce vent path for any
trapped water
Breach created using rotary
tool with grinding wheel
Performed May 2nd, 2017
24. Well?
Test conditions repeated
for 2500 W, 1 bar He
Significant difference in
response
Success?
Supports water
contamination
hypothesis
Good news for Cask Demo
24
25. Belowground Configuration
Modification to
aboveground ventilation
configuration
Additional annular flow path
Currently testing
Inlet and outlet based on prototypic
configuration
Scaling analysis completed
Favorable comparisons
Modified, channel Rayleigh
number (Ra*)
Reynolds (Re) number
25