nuclear plant maintenance - amazon s3 · capital reinvestment for life ... leaky wire/ wifi...
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Steve WoodsSenior Vice President, Nuclear Engineering
Ontario Power GenerationNuclear Power Council
September 1, 2016
Nuclear Plant MaintenanceThe Next Ten Years
2
Current State
High Plant SafetyHigh Plant ReliabilityLow Maintenance Backlogs
Also Increased CostStrong CompetitionValue of Nuclear Power
Unrecognized?
3
Today's Challenges
Realization of the Nuclear PromiseNew Build (US and Worldwide)Refurbishment/Major Component
Replacement (Canada)Capital Reinvestment for Life
ExtensionWorkplace DemographicsPublic Perception of Nuclear
Power
4
Opportunities – Looking to the Future
New and Life-Extended Units In ServiceAdvances in Technology and
Data Analytics (Another) New Generation
Entering the Workforce
5
Leadership…..Collaboration…..Transformation
Leadership: Inspiring a New Attitude and CultureCollaboration: Working Together Innovation: Technology Development and Adoption
Viability of Nuclear Power
EDF Maintenance and Engineering Challenges
Michel MASCHI,VP R&D Generation & Engineering
EPRI NPCNew Orleans August 2016
| 2
KEY CHALLENGE FOR MAINTENANCEIN NUCLEAR POWER PLANTS
• Increase nuclear generationOutage management
• LTO programGrand carénage project51 B€ [2014 – 2025]
T W.h
EDF fleet planned decennial outages
| 3Copyright EDF | Juin 2013
EDF Fleet Major Overhaul [2014-2025]Grand Carénage project
I&C modernization
Turbinehall
Turbinerenovation
Condensorrenovation
Generator :rotor renovationandstator replacement
Steamgeneratorreplacement
Cooling towerstackingreplacement
Fire alarmsrenovation
Main transformersreplacement
Training campus
Contractorscampus
New building forproject teams
Emergency back-updiesels
| 4
Reducing outage durationImprove outage preparation and pre job briefing through extensive use of virtual reality - pilot project at Cattenom (3rd decennial outage 2016)
Direct measurement of clearance
Automated localisation and recognition of equipment reference
| 5
Maintenance and Long Term OperationIdentification of life limiting issuesKnowledge and tools for maintenance optimisation of critical components
4 R&D objectivesNon replaceable components : reactorvessel and containment
Replaceable components : SG, I&C, cables …
Materials aging - understanding and anticipation : fatigue, corrosion, embrittlment …
Advanced monitoring systems and tools for non destructive examination
| 6
LTO - Non-replaceable components New methodologies and/or modifications to explain or get complementary margins vs criteria
Reactor Vessel: . Gain on fracture toughness
through warm pre-stressing effect (scientific justification and AFCEN codification)
Reactor Containment : . VERCORS 1/3 mock-up for
leakage assessment and monitoring and coatings scenarios evaluation
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LTO – Monitoring and DiagnosticsNon destructive examination - Advanced monitoring
Non Destructive Evaluation of SG : . Multi-element probe performance
modelling . Eddy current rotating probe
performance modelling on realistic SCC cracks
Advanced monitoring : . Big Data Analytics for maintenance
(cases based diagnostics and deep learning)
. Diesels : acyclism measurements . E-monitoring roll-out
Scot GreenleeExelon Generation Senior Vice President
Engineering & Technical Services
Nuclear Power Council Advisory MeetingSeptember 1, 2016
Wireless Plant Health Monitoring
2
Why Wireless Equipment Monitoring? Reduction in total cost of maintenance
o Enable more condition based maintenance (reduction/elimination of time based maintenance)
o Extended time between costly equipment rebuilds
o Early detection of incipient failures to prevent costly plant events/catastrophic failures
Improve worker/engineering productivity in data collection/analysis
o Reduce analysis time and improve quality of analysis
o Centralization of data reviews
o Utilization of software for data analysis, including troubleshooting
3
How Computers can do the Work
Tag Level Advisories
Failure Diagnostic
Predictive Model
Failure Profile Failure Profile Failure Profile
SensorData
“Something’s Changed”
“Apparent Cause”
Dynamic Priority Assignment / Escalation
4
The Digital Transformation
Cyber security
Obtain Data• Sensors• Instrumentation
Transport Data• Site network
Utilize Data• Transform to intelligent
information
5
Right Sensors at Right Location…
Understanding the available technology/tools:– Define existing wireless platforms and capability– Establish rules of thumb for applications (specific to component and failure modes)– Identify cost effective solutions for application
Wireless Sensors:– Research and development of modular wireless sensors– Develop a common design specification for installation (design once install many)– Define what are the key characteristics for sensors:
o Battery life more than 2 years
o Flexibility of frequency and bandwidth tailored to environment
o Technology allows a variety of sensors
o Etc.
– Standardize how to measure the cost/benefit of wireless sensor use
Data Acquisition Needs
6
Utility Network-Wireless/Leaky Wire (DAS)
Guidance on how to implement distributed antenna system (DAS) into existing plant: With or without existing Wi-Fi backbone
Optimal way to integrate with radio systems
Work with industry to resolve cyber security concerns
7
Wireless Sensors
Leaky Wire/ WiFi
ComputersData Historian
Pattern Recognition
Digital Worker (eWP)
Rad ProSensors
Thermography/Acoustic
Continuous Monitoring
Sensors
APM(Integration of Data sources, Advanced Analytics,
Machine Language, etc.)Technology not demonstrated
Centralized Monitoring
Future of Advanced Performance Monitoring
AMS BridgePredictive Data
Plant Engineer
WORK ORDER DATA
LEGEND• IMPLEMENTED (continue to develop) • NOT IMPLEMENTED (proven benefit)
• NOT PROVEN YET TO PROVIDE BENEFIT
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Transform Data to Intelligent Information
Work with utilities and vendors to establish right approach to using software and artificial intelligence to transform data into intelligent information
Better detection, analysis and prioritization through various software tools:
– Machine Language: Improved analytical/diagnostic tools to define the potential severity of the conditions
– Advanced Pattern Recognition (APR): Develop the use of existing APR tools and integration of prognostic health monitoring to enable prioritization of alarm conditions
– Asset Performance Management (APM): Integrate industry failure mode and mechanism data including the EPRI data
– Other tools: Evaluate other techniques and software tools to improve the computer technology
9
© 2016 Electric Power Research Institute, Inc. All rights reserved.
Jim HeishmanSenior Program Manager
Nuclear Power Council Advisory MeetingSeptember 1, 2016
The Future of Preventive Maintenance
Basis at EPRI
2© 2016 Electric Power Research Institute, Inc. All rights reserved.
Agenda
History of Nuclear Maintenance Applications Center (NMAC) Maintenance Related Products
Current State of Preventive Maintenance Basis Database (PMBD)
Future of Preventive Maintenance
3© 2016 Electric Power Research Institute, Inc. All rights reserved.
History – NMAC Mission Statement
NMAC serves as an international forum delivering proven, practical techniques and methods to reduce operating and maintenance costs and improve equipment reliability.
AudienceMaintenance, Engineering,
Work Planning, Field Technicians
4© 2016 Electric Power Research Institute, Inc. All rights reserved.
Equipment Reliability Working Group International
Equipment Reliability Working Group
Maintenance Planning Users
Group
Equipment Reliability Collaboration Hub for
Industry PMs
PM Users Group Maintenance Rule Users Group
5© 2016 Electric Power Research Institute, Inc. All rights reserved.
Improved Technical Content Delivery:Component Guides and Applications
6© 2016 Electric Power Research Institute, Inc. All rights reserved.
Current State – PM Basis Database
Provides:– Baseline PM tasks and intervals from industry experience– Tools to analyze the technical basis– Identifies failure modes exposed by strategy– A living repository for industry PM experience– A unifying structure for EPRI products– Favors a condition-based vs. time-based maintenance
strategy
PMBD provides a foundation for PM strategy based on the Reliability Centered Maintenance (RCM) process
7© 2016 Electric Power Research Institute, Inc. All rights reserved.
PMBD Web Services
(>350 Templates)
PMBD Web-Based
Interface Created
ContinuedTemplate
Development(>150)
PMBD Access
Database Created
EPRI Leads Application of RCM to
Power Industry
RCM Developedin Airline Industry
38 Original PM
Templates Published
PMBD Client-
Server CD Version
Published
PM Basis Database History
1960’s–70’s 1980’s 1995–1998 2000 2004 2013 20162006
8© 2016 Electric Power Research Institute, Inc. All rights reserved.
PMBD Vulnerability Calculation and Outputs
Low Voltage Switchgear Template
9© 2016 Electric Power Research Institute, Inc. All rights reserved.
Looking to the Future of Preventive Maintenance
Improving PM performance in real time through:– Integration of Cost Data to analyze your
maintenance strategies (<6 Months)– Adjustments based on accumulating
failure data (not just a mathematical prediction, 1.5 years)
– Real Time Data Integration (wireless sensors and process inputs, 3+ years)
10© 2016 Electric Power Research Institute, Inc. All rights reserved.
Together…Shaping the Future of Electricity
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