EPRI New Build CM
Initiatives
Bob Renuart
Russell Adams
EPRI Technical Consultants
EPRI ADVANCED NUCLEAR TECHNOLOGY
Bob Renuart (for Ken Barry)
© 2010 Electric Power Research Institute, Inc. All rights reserved.
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EPRI ANT Projects Supporting CM
• Development of an Acceptance Methodology for
Commercial Two- and Three-Dimensional Plant Modeling
Software
• Benchmarking other industries on the Cost and Benefit of
transitioning to a Data-Centric Configuration Management
Information System
• Development of a Standardized Plant Information Model
(the Primary focus for Today’s Discussion)
© 2010 Electric Power Research Institute, Inc. All rights reserved.
3
Current 2013 ANT Membership Breakdown
© 2010 Electric Power Research Institute, Inc. All rights reserved.
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DEVELOPMENT OF AN ACCEPTANCE
METHODOLOGY FOR COMMERCIAL
TWO- AND THREE-DIMENSIONAL
PLANT MODELING SOFTWARE
© 2010 Electric Power Research Institute, Inc. All rights reserved.
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Objective
• Identify a Commercial Grade Dedication
methodology for an Owner-Operator to use in
accepting commercial 2D & 3D design and
modeling software tools and databases and
maintaining them for the plant lifetime.
© 2010 Electric Power Research Institute, Inc. All rights reserved.
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Status
• EPRI Contracted with MPR Associates to get input from
End Users (Utilities) and Solution Providers.
• MPR Proposed a Commercial Grade Dedication
Methodology based on another EPRI program on CGD of
Software used in Nuclear Power Applications.
• Next Step is to Trial the Proposed CGD methodology with
a Solution Provider, e.g., Intergraph, Bentley, AVEVA, to
evaluate the cost to implement.
© 2010 Electric Power Research Institute, Inc. All rights reserved.
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UNDERSTAND THE COSTS OF
MOVING TO A DATA CENTRIC
CONFIGURATION MANAGEMENT
INFORMATION SYSTEM
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Project Description
• EPRI Board has requested better understanding of
the conversion cost vs. the benefits of a data-centric
CMIS experienced by other high risk, high
consequence industries.
• Hypothesis: A “data-centric” CM system will support
a variety of plant activities with reliable, controlled
data to make critical plant decisions– the “single
source of truth”.
• Need to define the cost of installing and maintaining
a data-centric system.
• Need to define the savings that a data-centric
system will provide in knowledge management and
process improvement
© 2010 Electric Power Research Institute, Inc. All rights reserved.
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Status
• Benchmarked Solution Providers
– Intergraph
– Bentley
– Siemens
• Plan to Benchmark Operating Plants (As-Is Data)
– Callaway - Done
– McGuire
– VC Summer Unit 1
• Plan to Benchmark other Industries that have Transitioned
– Oil and Gas Offshore Platforms
– Defense
– Aerospace
– High Speed Railway
• Project Scheduled Completion first half 2014
© 2010 Electric Power Research Institute, Inc. All rights reserved.
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EPRI STANDARDIZED PLANT
INFORMATION MODEL
Bob Renuart and Russell Adams
© 2010 Electric Power Research Institute, Inc. All rights reserved.
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EPRI PIM Model History
• 1987: EPRI Technical Report - Guidelines for Specifying
Integrated Computer-Aided Engineering Applications for
Electric Power Plants
– Findings Demonstrated Need for a Plant Data Model
• 2010: Developed Plant Information Network (PIN) Study
Model
• 2011: Updated PIN Study Model to Modern Plant
Information Model (PIM)
• 2012: Incorporated Handover and Configuration
Management Frameworks
© 2010 Electric Power Research Institute, Inc. All rights reserved.
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EPRI PIM Model Today Thinking Forward
• Evolving Open Source Standard for Handover
– Incorporating
o Standard Handover Framework
o CM Taxonomy and Relationship Framework
• Leverages other Industry Initiatives
• Adheres to International Information Standards
• Eighty (80) Percent usable by US NNPP Projects and
adoptable by Non-US NNPP Projects
• Supports Implementation for World Class Configuration
Management and Information Handover Solutions
© 2010 Electric Power Research Institute, Inc. All rights reserved.
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Achieving Excellence in Configuration
Management and Information Handover
– Leverage Automation for CMIS
– Data Centric CM Environment
– CM Taxonomy Model with Standard
Relationships
– Requirements Management Tractability
– Standard Handover/Turnover Representation
of Documents and Data
© 2010 Electric Power Research Institute, Inc. All rights reserved.
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Achieving Excellence in Configuration
Management and Information Handover
– Leverage Automation for CMIS
– Data Centric CM Environment
– CM Taxonomy Model with Standard
Relationships
– Requirements Management Traceability
– Standard Handover/Turnover Representation
of Documents and Data
© 2010 Electric Power Research Institute, Inc. All rights reserved.
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Configuration Management
Nuclear
Configuration
Management
Physical
Configuration
“What is
actually there”
Physical
Design
Basis
Conform
Design Requirements
“What needs to be there”
Plant
Docs
Plant
Facility
Configuration
Information
“What we say is
there”
Work Processes must assure that:
Elements conform all the time
All changes are authorized
Conformance can be verified
© 2010 Electric Power Research Institute, Inc. All rights reserved.
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Why Better Leverage of Automation
Nuclear
Configuration
Management
Knowledge Workers
EDB
Paper-based
Quality Assurance
Automation
Systems
AS
Process
Conform
Challenge
PD
Plant
Documentation
Lots of Tribal Knowledge , Semi-Connected and Disconnected Systems, Manual
Processes
and yes……Paper
© 2010 Electric Power Research Institute, Inc. All rights reserved.
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Achieving Excellence in Configuration
Management and Information Handover
– Leverage Automation for CMIS
– Data Centric CM Environment
– CM Taxonomy Model with Standard
Relationships
– Requirements Management Traceability
– Standard Handover/Turnover Representation
of Documents and Data
– Identify, Control and Manage Margins
© 2010 Electric Power Research Institute, Inc. All rights reserved.
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CMIS Is a Data Hub Along with EAM and
Records Management
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© 2010 Electric Power Research Institute, Inc. All rights reserved.
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What Does it Mean to be Data Centric?
• Level 1 – Key Design Basis Data (MEL) is Managed in the
Work Control System and Updated through a Change Control
Process.
• Level 2 – In addition to Design Basis Data, Data to Manage
Engineering and Regulatory Programs, Equipment Reliability,
and Data Embedded in Engineering, Maintenance, and
Operating Procedures are Integrated in a “Single Source of
Truth” with Primary Plant Processes and Authoring Tools
affecting Plant Configuration and Updated through a Change
Control Process.
• Level 3 – Level 2 plus Data is Exposed thorough Embedded
Decision Making Tables in the Change Control and Design
Control Processes, e.g., Operability Determinations,
Equivalency Evaluations, Commercial Grade Dedications.
© 2010 Electric Power Research Institute, Inc. All rights reserved.
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Relationship Data Structure
ER Program Properties
EQ Properties
• EQ Flag
• Qualification Method
Pump Properties
• ER Class
• Safety Class
• Failure Mode
• Des Disch Press
• Duty Cycle
ER Program
• Des Flowrate
• NPSH
EQ Program
Maint Rule Properties
• MR Questions
CCS Pump
Location:
Room Properties
VS-2
• Normal Temp, Humid
Bldg 12
• Accident Temp, Humid
Room 12561
MR Program
• MR Type
VS2-CCS-MP-01A
IST Program
• Test Freq
• Rad Levels
IST Program
• Test Method
P&ID Drawing:
• Test Parameters
VS2-CCS-M6-001
• Test Results
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© 2010 Electric Power Research Institute, Inc. All rights reserved.
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Some Comparisons between Level 1 and 2
• Component Properties
– Level 1 manages 25-200 Component Properties
– Level 2 manages >1500 Component Properties
• Relationships
– Level 1 typically manages Data in Tables
– Level 2 manages data as Objects with Properties that can
be related to other Objects. The Advantage is the ability to
leverage these relationships for:
• Design Impact Reviews
• Margin Management
• Determining Impact of “Hold Points” on downstream
dependencies
• Knowledge
© 2010 Electric Power Research Institute, Inc. All rights reserved.
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Level 3 Leverages the Data to make
Decisions in the Plant Processes
• Operability Determinations
© 2010 Electric Power Research Institute, Inc. All rights reserved.
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Margin Management Model
Ongoing IST Trend
Actual
Capability
Design
Margin
Full Qualification
Analytical Margin
High Risk of Failure
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© 2010 Electric Power Research Institute, Inc. All rights reserved.
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Level 3 Leverages the Data to make
Decisions in the Plant Processes
• Operability Determinations
• Equivalency Evaluations
© 2010 Electric Power Research Institute, Inc. All rights reserved.
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Equivalency Evaluation
Attribute or
Characteristic
Set-Point
Range
Pressure
Rating/ Proof
Pressure
Instrument
Accuracy
Required
Value
Original
Equipment or
Configuration
Values
Replacement
Equipment or
Configuration
Values
25–35 psi
10–100 psi
10–100 psi
1800 psi/NA
3000/250 psi
3000/250 psi
0.3% repeatability 0.25% repeatability
7 psi maximum
5.1 psi deadband
deadband
Evaluation
Results
Meets
requirements
Meets
requirements
0.25%
Meets
repeatability
requirements, but
5.2 psi deadband need to update setpoint
calculation to
reflect new
deadband and
model.
26
© 2010 Electric Power Research Institute, Inc. All rights reserved.
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Equivalency Evaluation
Attribute or
Characteristic
Material
Compatibility
with Primary
Fluid
Seismic
Qualification
Test Report
Required
Value
Original
Equipment or
Configuration
Values
Material must not
degrade or
corrode in contact
with primary fluid.
Replacement
Equipment or
Configuration
Values
Primary diaphragm is Primary
kapton polyimide with diaphragm is
an ethylene propylene 316L Stainless
rubber O-ring seal.
Steel with a
welded seal.
IEEE 344-1971 3 CTE Test Report 1
CTE Test Report
g horizontal 2 g
777-82N-C
1 777-82N-C
vertical 5%
Rev. 1
Rev. 1
damping Site
response curve
Environmental IEEE 323-1974
o
Qualification 120 F maximum
Test Report
95% humidity
5
10 rad TAD
© 2010 Electric Power Research Institute, Inc. All rights reserved.
CTE Test Report
1777-82N-D
Rev. 3
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Evaluation
Results
Meets
requirements; 316L
Stainless Steel is
acceptable.
Meets
requirements;
qualification
maintained based
on AOB document
8200-800.
CTE Test Report Meets
1777-82N-D
requirements;
Rev. 3
qualification
maintained based
on AOB document
8200-800.
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Level 3 Leverages the Data to make
Decisions in the Plant Processes
• Operability Determinations
• Equivalency Evaluations
• Commercial Grade Determinations
• Margin Management
• Equipment Reliability
• Inservice Testing
• Flow Accelerated Corrosion
• The list goes on and on….
© 2010 Electric Power Research Institute, Inc. All rights reserved.
28
Achieving Excellence in Configuration
Management and Information Handover
– Leverage Automation for CMIS
– Data Centric CM Environment
– CM Taxonomy Model with Standard
Relationships
– Requirements Management Traceability
– Standard Handover/Turnover Representation
of Documents and Data
© 2010 Electric Power Research Institute, Inc. All rights reserved.
29
CM Taxonomy with Standard Relationships
Relationships
connecting
Requirements
to the
Detailed Design
Information
to the
Installed
Information that
Describes and
Validates the
Installed Asset
30
© 2010 Electric Power Research Institute, Inc. All rights reserved.
30
Achieving Excellence in Configuration
Management and Information Handover
– Leverage Automation for CMIS
– Data Centric CM Environment
– CM Taxonomy Model with Standard
Relationships
– Requirements Management Traceability
– Standard Handover/Turnover Representation
of Documents and Data
© 2010 Electric Power Research Institute, Inc. All rights reserved.
31
Current State Handover Processes
Supplier System
Drawings
Calculations
Specifications
Data Sheets
Tag
tagdesc
docnumber
dpress
dtemp
Dcode
PDF files
Excel Spread Sheets
Handover/Turnover
PDF files
Excel Spread Sheets
© 2010 Electric Power Research Institute, Inc. All rights reserved.
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O/O System
Drawings
Calculations
Specifications
tag_num
tag_desc
doc_num
doc_rev
des_press
des_temp
des_code
WIP - PIM Handover Framework
Supplier System
Drawings
Calculations
Specifications
Data Sheets
Tag
tagdesc
docnumber
dpress
dtemp
Dcode
PDF files
Excel Spread Sheets
PDF files
Documents
Classification
Excel Spread Sheets
Design
Design Drawings
Mechanical
P&IDs
Flow Diagrams
Procurement
Vendor Drawings
Electrical
Internal Wiring
Diagrams
Schematics
Data Objects and Attributes
Tag Description
Data Sheet Number
Design Pressure
DesignPDF
Temperature
files
Design Code
Excel Spread Sheets
PDF files
Excel Spread Sheets
© 2010 Electric Power Research Institute, Inc. All rights reserved.
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O/O System
Drawings
Calculations
Specifications
tag_num
tag_desc
doc_num
doc_rev
des_press
des_temp
des_code
Future State Normalizing to PIM Handover
Supplier System
PDFs
Drawings
Calculations
Specifications
Data Sheets
Data
Tag
tagdesc
docnumber
dpress
dtemp
Dcode
PDF files
Excel Spread Sheets
Documents Classification
Design
Design Drawings
Mechanical
P&IDs
Flow Diagrams
Procurement
Vendor Drawings
Electrical
Internal Wiring
Diagrams
Schematics
Data Objects and Attributes
Tag Description
Data Sheet Number
Design Pressure
Design Temperature
Design Code
PDF files
Excel Spread Sheets
© 2010 Electric Power Research Institute, Inc. All rights reserved.
34
O/O System
Drawings
Calculations
Specifications
tag_num
tag_desc
doc_num
doc_rev
des_press
des_temp
des_code
Future State Normalized to PIM Handover
PDF files
XML Schemas
Supplier System
PDFs
Drawings
Calculations
Specifications
Data Sheets
Data
Tag
tagdesc
docnumber
dpress
dtemp
Dcode
O/O System
Documents Classification
Design
Design Drawings
Mechanical
P&IDs
Flow Diagrams
Procurement
Vendor Drawings
Electrical
Internal Wiring
Diagrams
Schematics
Data Objects and Attributes
Tag Description
Data Sheet Number
Design Pressure
Design Temperature
Design Code
PDF files
XML Schemas
© 2010 Electric Power Research Institute, Inc. All rights reserved.
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Design
Design Drawings
Mechanical
P&IDs
Flow Diagrams
Procurement
Vendor Drawings
Electrical
Internal Wiring
Diagrams
Schematics
Tag Description
Data Sheet Number
Design Pressure
Design Temperature
Design Code
EPRI Desired End Results
• One source of controlled data that is consumed by
multiple applications and changed from the one
application that is the source of truth
• Data quality that can be confidently used by all
• Data and Document Relationships as a design basis
taxonomy to support configuration control of changes
and operability determinations of the plant.
• Ability to manage as-designed, as-specified, as-built,
and as-tested configurations of the plant.
• Access to data and documents via the 2D and 3D
Models
• Electronic Delivery of Compliant, “as-built”
Information for Smarter Operation and Maintenance
© 2010 Electric Power Research Institute, Inc. All rights reserved.
36
EPRI PIM Model
Russell Adams
EPRI Technical Consultant
RHAdams Consulting
Russell.H.Adams@gmail.com
Bob Renuart
EPRI Technical Consultant
Renuart Consulting
RenuartConsulting@gmail.com
Thank you
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© 2010 Electric Power Research Institute, Inc. All rights reserved.
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