SlideShare a Scribd company logo
Dynamic Simulation
With Application to HFE and Control System
Design Validation
info@gses.com
2
Nuclear Power Industry Goes Digital
•  Digital instrumentation and control (I&C) and
digital control rooms have become a key focus
of the nuclear industry.
•  New plant designs and the life extension of older
plants require the industry and the regulator to
understand and validate these system designs
and their performance.
•  Why? To budget and schedule risk, and for safety!
3
The Goal/Opportunity of Engineering
Simulator & HFE
•  New and existing plants will all
eventually use digital controls:
–  Projects are high risk and delays
in initial startup cost around
$1 million per day
–  The simulator has been proven as
a V&V tool for I&C systems
•  Digital systems are easy to change
and optimize but require a validated
process (NUREG 0711):
–  The engineering simulator
provides a platform to prove the
performance and safety of system
changes
Figure 2: Performance improvement based
on a digital transformation of the operating
model
Figure 1: Performance based on current
operating model
Figures from INL Study
4
Nuclear Regulatory Guidance
•  The U.S. NRC reviews the HFE programs of applicants
for:
–  Nuclear power plant construction permits
–  Operating licenses
–  Standard design certifications
–  Combined operating licenses
•  Detailed design review procedures and guidance for the
evaluations is provided in three key documents:
–  Standard review plan (NUREG-0800)
–  HFE program review model (NUREG-0711)
–  Human-system interface design review guidelines
(NUREG-0700)
–  These documents were last revised in 2012
5
Nuclear Regulatory Guidance
•  The NRC is updating its guidance to stay current
with recent research on advances in HFE
methods and tools, and new technology being
employed in plant and control room design.
•  The purpose of these safety reviews is to help
ensure that personnel performance and
reliability are appropriately supported.
6
How is an Engineering Simulator Different?
•  Real-time simulators traditionally have been training tools
(driven by nuclear industry):
–  Full plant modeled but computing power limited the fidelity
–  Models often “hand crafted” to mimic plant dynamics
–  Basic models adequate for analog controls, traditional hard
panel control panels, and “old school” plant process computers
•  Today’s real-time simulator is high-fidelity:
–  Same scope, but…
–  High-definition predictive models used to model plant systems
•  Engineering-grade models for thermodynamics and
neutronics
•  HD first-principle models used for all other systems
•  Digital controls and modern digital interfaces provide very
detailed view of systems/plant
–  As a holistic dynamic plant model
7
•  Holistic engineering V&V platform
•  Solving system design issue in integrated plant environment
•  Allow validation of plant system designs in an integrated environment
•  Allow the validation of systems design in transient and steady state
conditions
•  Controls system design and V&V
•  Real-time HD simulator provides first holistic view of the plant
•  Validation and refinement of logic and controls strategies is a key value
of simulator
•  Human factors engineering platform
•  Support design of DCS interface, alarms, electronic procedures etc..
•  Support design of digital control rooms, information layout and
CONOPS
•  Demonstrate viability of these designs to regulator (show me)
•  Develop and validate operating procedures
•  Provides the plant buyer a simulator for training & licensing operators
earlier in the plant design and construction process
Role of the Engineering Simulator
8
Relevant Simulator Experience
•  Fossil DCS upgrades (virtual
commissioning)
•  Experience with 1st-of-a-kind projects
–  Westinghouse AP1000
–  Pebble bed modular reactor
–  NuScale Power
–  mPower
–  B&W FutureGen
–  Ultra Supercritical
–  Rolls Royce (Royal Navy)
Simulator Score Card
Pressurized Water Reactor 85
Boiling Water Reactor 60
Fossil Fuel Plant 118
Process Plant 84
Graphite Moderated Reactor 8
Advanced Gas Reactors 4
Major Mods, Rehost,
Upgrades
125
9
GSE 1st-of-a-Kind Engineering
Simulator Experience
Pebble Bed
Modular Reactor IGCC China
Westinghouse
AP1000
NuScale Power
Ultra Supercritical
Korea
SMART
Korea Atomic
Energy
Research
Institute
HYH CPR-1000
HFE and Control
V&V Platfrom
B&W
mPower
Engineering
and HFE
Simulator
10
HFE Simulators
•  USNRC
–  Upgrade & convert existing
simulator with digital human
system interface
–  RELAP5-HD primary model
–  Digital control room interface
•  USNRC
–  Generic PWR (ANS 3.5 simulator)
–  Vpanel interface platform
–  Developing digital HIS
•  INL
–  Generic PWR (ANS 3.5 simulator)
–  NuScale SMR HFE simulator
11
More HFE GPWR Simulators
•  University of Central Florida (under
contract to the US NRC) – Orlando, FL
USA
•  Tennessee Valley Authority
(Chattanooga State) – Chattanooga,
TN USA
•  Nagoya University (supplied by NEL)
– Nagoya, Japan
•  University of Manchester –
Manchester, UK
•  Halden Reactor Project – Halden,
Norway
•  Ohio State University – Columbus,
OH USA
•  Texas A&M University – College
Station, TX USA
•  Lockheed Martin Corporation –
Grand Prairie, TX USA
•  EDF UK – Gloucester, UK
•  City University Hong Kong, Kowloon,
Hong Kong
•  University of Virginia (in
procurement) – Charlottesville, VA
•  Center for Advanced Engineering
and Research (in procurement) –
Forrest, VA USA
•  Auburn University (in procurement)
– Auburn, AL USA”
•  GSE’s GPWR is based on an actual operating nuclear plant
–  Thoroughly exercised and validated.
–  Complete with full documentation including procedures and
training materials.
1st-of-a-Kind Engineering Simulator
Project Perspective
13
Example: New SMR (NuScale)
•  Current NRC requirements do not accommodate the next
generation SMR control room designs:
•  Requirements for large scale
reactors need to be evaluated for
their appropriateness to SMR
operations.
•  Current requirements interfere with the
economic model of some SMRs.
14
Background
•  The dynamic simulator will be the
platform for the development and
demonstration of this new plant
design:
–  HFE Platform for the new control
room design
–  Control system design and V&V
platform
–  System design validation
platform
–  Marketing tool
–  Training (critical path to plant
operation)
15
Control Logic and Interface Design
•  Engineers develop
controls, logic, basic
control screens, and
operating procedures
–  JControl
–  JDesigner
•  System design data is
validated on high-
fidelity models
–  Steady state and
transient conditions
–  System performance is
fed back to system
design engineers via
JStation
16
HFE Simulator (Control Room)
HFE Simulator
12 Modules plus common systems
12 RELAP5, S3R, etc.
12 operator stations
Engineering Simulator
1 Module
1 RELAP5, S3R, stc.
17
Westinghouse AP1000
•  Project objectives/deliverable
–  To provide an integrated 1st-Principle high-fidelity
simulator models (actual plant is being designed)
for:
•  Human factors engineering (HFE)
•  I&C/DCS validation & testing (simulated DCS)
•  Train Westinghouse staff on use of simulation
technology
•  Major Project Achievements
–  12 months project schedule (initial phase), on-
time delivery
–  Communication interfaces between SimExec and
Ovation DCS
–  Developed and V&V the plant system models
synchronize with plant design schedule
•  Project Status
–  Complete all 3 phases of implementation
–  Building 4 full-scope simulators for Westinghouse
•  Project Duration
–  November 2004 to November 2006
17
Initial Control Room Layout
Most Recent Control Room Layout
18
•  Reduce Project Risk
–  Continuously validate system designs early in design process
•  Steady state
•  Validated in integrated and transient conditions
–  Provide a platform for validation of DCS system
–  Provide a demonstration platform for regulators and customers
of plant operation and safety
•  Reduce Project Costs
–  Provide platform for continuous development of control and
protection logic strategies on lower cost simulation platform
–  Flexible lower cost HFE/control room development platform
–  Delay commitment to a DCS vendor until the sale of the plant,
allow customer to choose DCS vendor
Engineering Simulator Value
19
Engineering Case Study
•  ConEd Coal Station
–  Plant initial commissioning
–  Scheduled for 24 weeks
–  Simulator purchased prior to plant startup to improve
training and operation, but…
•  As a result of the virtual commissioning of the digital
control system:
–  Startup was reduced by 12 weeks
–  84 days of revenue generation was recovered at
$500K/day
–  $42M additional revenue
–  Simulator cost = $3.8M
•  This is typical for a these types of projects
Follow us on:
Twitter @GSESystems
Facebook.com/GSESystems
For more information:
Go to: www.GSES.com
Call: 800.638.7912
Email: info@gses.com

More Related Content

PPT
Real-Time Simulation for Design of New Nuclear Plants
PPTX
Implementation of Dynamic Simulation for Engineering and Human Factors
PPTX
Mochovce Unit 3 & 4 Full-Scope Simulator Project Key Points and Successes
PPTX
Control & HMI Emulation Project
PPTX
Innovation in Nuclear Simulation
PPTX
Multi-Unit Severe Accident Simulation
PPTX
Model based design-Hardware in loop-software in loop
PPTX
Virtual Commissioning and Real-Time Training for Increasing Performance
Real-Time Simulation for Design of New Nuclear Plants
Implementation of Dynamic Simulation for Engineering and Human Factors
Mochovce Unit 3 & 4 Full-Scope Simulator Project Key Points and Successes
Control & HMI Emulation Project
Innovation in Nuclear Simulation
Multi-Unit Severe Accident Simulation
Model based design-Hardware in loop-software in loop
Virtual Commissioning and Real-Time Training for Increasing Performance

What's hot (20)

PDF
What is HIL (HardWare In The Loop)
PDF
Hardware in loop simulation
PPTX
Modelon Modelica executable requirements Ansys Conference 2016
PDF
Automotive engineering design - Model Based Design
PPTX
Emerging standards and support organizations within engineering simulation
PPT
Belle River Simulator: A GSE, DTE and ABB Collaboration
PPTX
Model-Based Design For Motor Control Development
PPTX
Optimica Testing Toolkit
PPT
Hardware in Loop System Design
PPTX
Multi-core Real-time Simulation of High-Fidelity Vehicle Models using Open St...
PPTX
Koch Modular - Automation and Control System Capabilities
PPTX
Closing the Design Cycle Loop with Executable Requirements and OSLC - IBM Int...
DOC
Mrunal--CV Latest
PDF
Resume rahul iyer jan 2014 vietnam
PDF
Respond flow chart (rfc)
PPTX
One model, many use cases
PDF
Mechanical Simulations for Electronic Products
DOCX
LuceyResume0515
PDF
Qualifying a high performance memory subsysten for Functional Safety
What is HIL (HardWare In The Loop)
Hardware in loop simulation
Modelon Modelica executable requirements Ansys Conference 2016
Automotive engineering design - Model Based Design
Emerging standards and support organizations within engineering simulation
Belle River Simulator: A GSE, DTE and ABB Collaboration
Model-Based Design For Motor Control Development
Optimica Testing Toolkit
Hardware in Loop System Design
Multi-core Real-time Simulation of High-Fidelity Vehicle Models using Open St...
Koch Modular - Automation and Control System Capabilities
Closing the Design Cycle Loop with Executable Requirements and OSLC - IBM Int...
Mrunal--CV Latest
Resume rahul iyer jan 2014 vietnam
Respond flow chart (rfc)
One model, many use cases
Mechanical Simulations for Electronic Products
LuceyResume0515
Qualifying a high performance memory subsysten for Functional Safety
Ad

Viewers also liked (13)

PPTX
computer simulation
PPT
Computer simulation
PDF
Application and evaluation of advanced simulation with HPS in developing stud...
PPT
Computer simulation
PPTX
Simulation and its application
PDF
Fault simulation – application and methods
PPT
Application of simulation in anesthesia Application of simulation in anesth...
PPTX
PPTX
Applications of simulation in Business with Example
PPT
Simulation Techniques
PPTX
SIMULATION
PPT
Introduction to Simulation
PPT
Simulation Powerpoint- Lecture Notes
computer simulation
Computer simulation
Application and evaluation of advanced simulation with HPS in developing stud...
Computer simulation
Simulation and its application
Fault simulation – application and methods
Application of simulation in anesthesia Application of simulation in anesth...
Applications of simulation in Business with Example
Simulation Techniques
SIMULATION
Introduction to Simulation
Simulation Powerpoint- Lecture Notes
Ad

Similar to Dynamic Simulation for HFE & Control System Design Validation (20)

PPTX
Real-Time Engineering Simulators
PDF
High-Fidelity Operator Training Simulator for CCGT Implemented Before Plant C...
PDF
The Benefits of using Dynamic Simulation and Training Systems
PPTX
Reinventing Performance Testing, CMG imPACt 2016 slides
PPTX
GSE Gaining Value From Virtual Control Panels CONTE 2019
PPTX
PPTX
REAL-TIME SIMULATION TECHNOLOGIES FOR POWER SYSTEMS DESIGN, TESTING, AND ANAL...
DOC
Jason Lowe I_C HMI Devloper
PDF
Advisian dynamic process simulation capability june 2019
DOCX
DOC
Atul_T_Biradar_CV
DOC
Resume_New
PPT
Syste O CHip Concepts for Students.ppt
PPTX
ADG_Rocket Engine Propulsion Test Solution Overview.pptx
PPT
SDLC or Software Development Life Cycle
PPTX
Bringing Engineering Analysis Codes Into Real-Time Full-Scope Simulators
PDF
DCS_Check-Out_and_Operator_Training_with_HYSYS_Dynamics_White_v1.3.pdf
PDF
TechComp_overview_brief
PPTX
Bausch lomb leverages plant p ax_rev1
PPT
Automated Discovery of Performance Regressions in Enterprise Applications
Real-Time Engineering Simulators
High-Fidelity Operator Training Simulator for CCGT Implemented Before Plant C...
The Benefits of using Dynamic Simulation and Training Systems
Reinventing Performance Testing, CMG imPACt 2016 slides
GSE Gaining Value From Virtual Control Panels CONTE 2019
REAL-TIME SIMULATION TECHNOLOGIES FOR POWER SYSTEMS DESIGN, TESTING, AND ANAL...
Jason Lowe I_C HMI Devloper
Advisian dynamic process simulation capability june 2019
Atul_T_Biradar_CV
Resume_New
Syste O CHip Concepts for Students.ppt
ADG_Rocket Engine Propulsion Test Solution Overview.pptx
SDLC or Software Development Life Cycle
Bringing Engineering Analysis Codes Into Real-Time Full-Scope Simulators
DCS_Check-Out_and_Operator_Training_with_HYSYS_Dynamics_White_v1.3.pdf
TechComp_overview_brief
Bausch lomb leverages plant p ax_rev1
Automated Discovery of Performance Regressions in Enterprise Applications

More from GSE Systems, Inc. (20)

PPTX
Hyperspring Implementation of BWROG EP/SAG CONTE 2019
PPTX
GSE Second Simulator Address Plant Training Needs CONTE 2019
PPTX
Onyx relap5 Presentation from SCS 2019
PDF
Increasing ROI Through Simulation and the 'Digital Twin'
PDF
Applying Safety DNA Analytics to Enhance Your E2E Workforce Process
PPTX
Investigating Ways to Prevent Electrical Arc Flash
PPTX
Total Training Solution - Entry2Expert
PPTX
Solving Refining & Petrochemicals Workforce Development Challenges with Perfo...
PPTX
ANS-3.5 Overview
PPTX
VIZRAD - Evolving Simulaton in Radiation Training
PPTX
Human Performance improvement for the Turkish Energy Sector
PDF
Proposal For a Nuclear Reactor Operations Course at Purdue University
PDF
How to Improve Operator Training Throughput Using Screening & Selection
PDF
Are Your Employees Playing Games?
PDF
Simulation Training Post Fukushima
PPTX
GSE Performance Improvement Solutions
PPTX
Improving Operational Performance With Smarter, Cost-Effective Training Programs
PDF
Simulator Management: Ideas for Today and Tomorrow
PDF
PSA-HD Simulator for Severe Accidents
PDF
Potential Model Changes as a Result of Fukushima
Hyperspring Implementation of BWROG EP/SAG CONTE 2019
GSE Second Simulator Address Plant Training Needs CONTE 2019
Onyx relap5 Presentation from SCS 2019
Increasing ROI Through Simulation and the 'Digital Twin'
Applying Safety DNA Analytics to Enhance Your E2E Workforce Process
Investigating Ways to Prevent Electrical Arc Flash
Total Training Solution - Entry2Expert
Solving Refining & Petrochemicals Workforce Development Challenges with Perfo...
ANS-3.5 Overview
VIZRAD - Evolving Simulaton in Radiation Training
Human Performance improvement for the Turkish Energy Sector
Proposal For a Nuclear Reactor Operations Course at Purdue University
How to Improve Operator Training Throughput Using Screening & Selection
Are Your Employees Playing Games?
Simulation Training Post Fukushima
GSE Performance Improvement Solutions
Improving Operational Performance With Smarter, Cost-Effective Training Programs
Simulator Management: Ideas for Today and Tomorrow
PSA-HD Simulator for Severe Accidents
Potential Model Changes as a Result of Fukushima

Recently uploaded (20)

PPTX
Programs and apps: productivity, graphics, security and other tools
PPTX
MYSQL Presentation for SQL database connectivity
PDF
Advanced methodologies resolving dimensionality complications for autism neur...
PDF
Mobile App Security Testing_ A Comprehensive Guide.pdf
PDF
7 ChatGPT Prompts to Help You Define Your Ideal Customer Profile.pdf
PDF
Empathic Computing: Creating Shared Understanding
PDF
Unlocking AI with Model Context Protocol (MCP)
PDF
Diabetes mellitus diagnosis method based random forest with bat algorithm
PDF
cuic standard and advanced reporting.pdf
PDF
A comparative analysis of optical character recognition models for extracting...
PPTX
Digital-Transformation-Roadmap-for-Companies.pptx
PDF
Assigned Numbers - 2025 - Bluetooth® Document
PDF
Dropbox Q2 2025 Financial Results & Investor Presentation
PDF
NewMind AI Weekly Chronicles - August'25-Week II
PDF
MIND Revenue Release Quarter 2 2025 Press Release
PDF
Optimiser vos workloads AI/ML sur Amazon EC2 et AWS Graviton
PDF
Approach and Philosophy of On baking technology
PDF
TokAI - TikTok AI Agent : The First AI Application That Analyzes 10,000+ Vira...
PDF
Profit Center Accounting in SAP S/4HANA, S4F28 Col11
PDF
Review of recent advances in non-invasive hemoglobin estimation
Programs and apps: productivity, graphics, security and other tools
MYSQL Presentation for SQL database connectivity
Advanced methodologies resolving dimensionality complications for autism neur...
Mobile App Security Testing_ A Comprehensive Guide.pdf
7 ChatGPT Prompts to Help You Define Your Ideal Customer Profile.pdf
Empathic Computing: Creating Shared Understanding
Unlocking AI with Model Context Protocol (MCP)
Diabetes mellitus diagnosis method based random forest with bat algorithm
cuic standard and advanced reporting.pdf
A comparative analysis of optical character recognition models for extracting...
Digital-Transformation-Roadmap-for-Companies.pptx
Assigned Numbers - 2025 - Bluetooth® Document
Dropbox Q2 2025 Financial Results & Investor Presentation
NewMind AI Weekly Chronicles - August'25-Week II
MIND Revenue Release Quarter 2 2025 Press Release
Optimiser vos workloads AI/ML sur Amazon EC2 et AWS Graviton
Approach and Philosophy of On baking technology
TokAI - TikTok AI Agent : The First AI Application That Analyzes 10,000+ Vira...
Profit Center Accounting in SAP S/4HANA, S4F28 Col11
Review of recent advances in non-invasive hemoglobin estimation

Dynamic Simulation for HFE & Control System Design Validation

  • 1. Dynamic Simulation With Application to HFE and Control System Design Validation info@gses.com
  • 2. 2 Nuclear Power Industry Goes Digital •  Digital instrumentation and control (I&C) and digital control rooms have become a key focus of the nuclear industry. •  New plant designs and the life extension of older plants require the industry and the regulator to understand and validate these system designs and their performance. •  Why? To budget and schedule risk, and for safety!
  • 3. 3 The Goal/Opportunity of Engineering Simulator & HFE •  New and existing plants will all eventually use digital controls: –  Projects are high risk and delays in initial startup cost around $1 million per day –  The simulator has been proven as a V&V tool for I&C systems •  Digital systems are easy to change and optimize but require a validated process (NUREG 0711): –  The engineering simulator provides a platform to prove the performance and safety of system changes Figure 2: Performance improvement based on a digital transformation of the operating model Figure 1: Performance based on current operating model Figures from INL Study
  • 4. 4 Nuclear Regulatory Guidance •  The U.S. NRC reviews the HFE programs of applicants for: –  Nuclear power plant construction permits –  Operating licenses –  Standard design certifications –  Combined operating licenses •  Detailed design review procedures and guidance for the evaluations is provided in three key documents: –  Standard review plan (NUREG-0800) –  HFE program review model (NUREG-0711) –  Human-system interface design review guidelines (NUREG-0700) –  These documents were last revised in 2012
  • 5. 5 Nuclear Regulatory Guidance •  The NRC is updating its guidance to stay current with recent research on advances in HFE methods and tools, and new technology being employed in plant and control room design. •  The purpose of these safety reviews is to help ensure that personnel performance and reliability are appropriately supported.
  • 6. 6 How is an Engineering Simulator Different? •  Real-time simulators traditionally have been training tools (driven by nuclear industry): –  Full plant modeled but computing power limited the fidelity –  Models often “hand crafted” to mimic plant dynamics –  Basic models adequate for analog controls, traditional hard panel control panels, and “old school” plant process computers •  Today’s real-time simulator is high-fidelity: –  Same scope, but… –  High-definition predictive models used to model plant systems •  Engineering-grade models for thermodynamics and neutronics •  HD first-principle models used for all other systems •  Digital controls and modern digital interfaces provide very detailed view of systems/plant –  As a holistic dynamic plant model
  • 7. 7 •  Holistic engineering V&V platform •  Solving system design issue in integrated plant environment •  Allow validation of plant system designs in an integrated environment •  Allow the validation of systems design in transient and steady state conditions •  Controls system design and V&V •  Real-time HD simulator provides first holistic view of the plant •  Validation and refinement of logic and controls strategies is a key value of simulator •  Human factors engineering platform •  Support design of DCS interface, alarms, electronic procedures etc.. •  Support design of digital control rooms, information layout and CONOPS •  Demonstrate viability of these designs to regulator (show me) •  Develop and validate operating procedures •  Provides the plant buyer a simulator for training & licensing operators earlier in the plant design and construction process Role of the Engineering Simulator
  • 8. 8 Relevant Simulator Experience •  Fossil DCS upgrades (virtual commissioning) •  Experience with 1st-of-a-kind projects –  Westinghouse AP1000 –  Pebble bed modular reactor –  NuScale Power –  mPower –  B&W FutureGen –  Ultra Supercritical –  Rolls Royce (Royal Navy) Simulator Score Card Pressurized Water Reactor 85 Boiling Water Reactor 60 Fossil Fuel Plant 118 Process Plant 84 Graphite Moderated Reactor 8 Advanced Gas Reactors 4 Major Mods, Rehost, Upgrades 125
  • 9. 9 GSE 1st-of-a-Kind Engineering Simulator Experience Pebble Bed Modular Reactor IGCC China Westinghouse AP1000 NuScale Power Ultra Supercritical Korea SMART Korea Atomic Energy Research Institute HYH CPR-1000 HFE and Control V&V Platfrom B&W mPower Engineering and HFE Simulator
  • 10. 10 HFE Simulators •  USNRC –  Upgrade & convert existing simulator with digital human system interface –  RELAP5-HD primary model –  Digital control room interface •  USNRC –  Generic PWR (ANS 3.5 simulator) –  Vpanel interface platform –  Developing digital HIS •  INL –  Generic PWR (ANS 3.5 simulator) –  NuScale SMR HFE simulator
  • 11. 11 More HFE GPWR Simulators •  University of Central Florida (under contract to the US NRC) – Orlando, FL USA •  Tennessee Valley Authority (Chattanooga State) – Chattanooga, TN USA •  Nagoya University (supplied by NEL) – Nagoya, Japan •  University of Manchester – Manchester, UK •  Halden Reactor Project – Halden, Norway •  Ohio State University – Columbus, OH USA •  Texas A&M University – College Station, TX USA •  Lockheed Martin Corporation – Grand Prairie, TX USA •  EDF UK – Gloucester, UK •  City University Hong Kong, Kowloon, Hong Kong •  University of Virginia (in procurement) – Charlottesville, VA •  Center for Advanced Engineering and Research (in procurement) – Forrest, VA USA •  Auburn University (in procurement) – Auburn, AL USA” •  GSE’s GPWR is based on an actual operating nuclear plant –  Thoroughly exercised and validated. –  Complete with full documentation including procedures and training materials.
  • 13. 13 Example: New SMR (NuScale) •  Current NRC requirements do not accommodate the next generation SMR control room designs: •  Requirements for large scale reactors need to be evaluated for their appropriateness to SMR operations. •  Current requirements interfere with the economic model of some SMRs.
  • 14. 14 Background •  The dynamic simulator will be the platform for the development and demonstration of this new plant design: –  HFE Platform for the new control room design –  Control system design and V&V platform –  System design validation platform –  Marketing tool –  Training (critical path to plant operation)
  • 15. 15 Control Logic and Interface Design •  Engineers develop controls, logic, basic control screens, and operating procedures –  JControl –  JDesigner •  System design data is validated on high- fidelity models –  Steady state and transient conditions –  System performance is fed back to system design engineers via JStation
  • 16. 16 HFE Simulator (Control Room) HFE Simulator 12 Modules plus common systems 12 RELAP5, S3R, etc. 12 operator stations Engineering Simulator 1 Module 1 RELAP5, S3R, stc.
  • 17. 17 Westinghouse AP1000 •  Project objectives/deliverable –  To provide an integrated 1st-Principle high-fidelity simulator models (actual plant is being designed) for: •  Human factors engineering (HFE) •  I&C/DCS validation & testing (simulated DCS) •  Train Westinghouse staff on use of simulation technology •  Major Project Achievements –  12 months project schedule (initial phase), on- time delivery –  Communication interfaces between SimExec and Ovation DCS –  Developed and V&V the plant system models synchronize with plant design schedule •  Project Status –  Complete all 3 phases of implementation –  Building 4 full-scope simulators for Westinghouse •  Project Duration –  November 2004 to November 2006 17 Initial Control Room Layout Most Recent Control Room Layout
  • 18. 18 •  Reduce Project Risk –  Continuously validate system designs early in design process •  Steady state •  Validated in integrated and transient conditions –  Provide a platform for validation of DCS system –  Provide a demonstration platform for regulators and customers of plant operation and safety •  Reduce Project Costs –  Provide platform for continuous development of control and protection logic strategies on lower cost simulation platform –  Flexible lower cost HFE/control room development platform –  Delay commitment to a DCS vendor until the sale of the plant, allow customer to choose DCS vendor Engineering Simulator Value
  • 19. 19 Engineering Case Study •  ConEd Coal Station –  Plant initial commissioning –  Scheduled for 24 weeks –  Simulator purchased prior to plant startup to improve training and operation, but… •  As a result of the virtual commissioning of the digital control system: –  Startup was reduced by 12 weeks –  84 days of revenue generation was recovered at $500K/day –  $42M additional revenue –  Simulator cost = $3.8M •  This is typical for a these types of projects
  • 20. Follow us on: Twitter @GSESystems Facebook.com/GSESystems For more information: Go to: www.GSES.com Call: 800.638.7912 Email: info@gses.com