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Dynamic Simulation With Application to HFE and Control System Design Validation [email protected]
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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!
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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
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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
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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.
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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
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• 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
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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
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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
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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
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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
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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.
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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)
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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
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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.
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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
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Initial Control Room Layout
Most Recent Control Room Layout
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• 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
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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
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