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EPRI New Build CM Initiatives Bob Renuart Russell Adams EPRI Technical Consultants
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2 © 2010 Electric Power Research Institute, Inc. All rights reserved. EPRI ADVANCED NUCLEAR TECHNOLOGY Bob Renuart (for Ken Barry)
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3 © 2010 Electric Power Research Institute, Inc. All rights reserved. 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)
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4 © 2010 Electric Power Research Institute, Inc. All rights reserved. Current 2013 ANT Membership Breakdown
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5 © 2010 Electric Power Research Institute, Inc. All rights reserved. DEVELOPMENT OF AN ACCEPTANCE METHODOLOGY FOR COMMERCIAL TWO- AND THREE-DIMENSIONAL PLANT MODELING SOFTWARE
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6 © 2010 Electric Power Research Institute, Inc. All rights reserved. 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.
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7 © 2010 Electric Power Research Institute, Inc. All rights reserved. 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.
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8 © 2010 Electric Power Research Institute, Inc. All rights reserved. UNDERSTAND THE COSTS OF MOVING TO A DATA CENTRIC CONFIGURATION MANAGEMENT INFORMATION SYSTEM
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9 © 2010 Electric Power Research Institute, Inc. All rights reserved. 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
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10 © 2010 Electric Power Research Institute, Inc. All rights reserved. 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
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11 © 2010 Electric Power Research Institute, Inc. All rights reserved. EPRI STANDARDIZED PLANT INFORMATION MODEL Bob Renuart and Russell Adams
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12 © 2010 Electric Power Research Institute, Inc. All rights reserved. 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
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13 © 2010 Electric Power Research Institute, Inc. All rights reserved. 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
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14 © 2010 Electric Power Research Institute, Inc. All rights reserved. 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
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15 © 2010 Electric Power Research Institute, Inc. All rights reserved. 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
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16 © 2010 Electric Power Research Institute, Inc. All rights reserved. Plant Docs Plant Docs Physical Plant Physical Plant Work Processes must assure that: Elements conform all the time All changes are authorized Conformance can be verified Design Basis Nuclear Configuration Management Design Requirements “What needs to be there” Facility Configuration Information “What we say is there” Physical Configuration “What is actually there” Conform Configuration Management
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17 © 2010 Electric Power Research Institute, Inc. All rights reserved. Plant Documentation Conform PD AS Knowledge Workers Automation Systems EDB Challenge Paper-based Quality Assurance Process Lots of Tribal Knowledge, Semi-Connected and Disconnected Systems, Manual Processes and yes …… Paper Why Better Leverage of Automation Nuclear Configuration Management
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18 © 2010 Electric Power Research Institute, Inc. All rights reserved. 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
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19 © 2010 Electric Power Research Institute, Inc. All rights reserved. CMIS Is a Data Hub Along with EAM and Records Management 19
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20 © 2010 Electric Power Research Institute, Inc. All rights reserved. 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.
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21 © 2010 Electric Power Research Institute, Inc. All rights reserved. Relationship Data Structure 21 Pump Properties Safety Class Des Disch Press Des Flowrate NPSH Room Properties Normal Temp, Humid Accident Temp, Humid Rad Levels Location: VS-2 Bldg 12 Room 12561 P&ID Drawing: VS2-CCS-M6-001 CCS Pump VS2-CCS-MP-01A IST Program Test Freq Test Method Test Parameters Test Results Maint Rule Properties MR Questions MR Type ER Program Properties ER Class Failure Mode Duty Cycle EQ Properties EQ Flag Qualification Method EQ Program MR Program IST Program ER Program
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22 © 2010 Electric Power Research Institute, Inc. All rights reserved. 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
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23 © 2010 Electric Power Research Institute, Inc. All rights reserved. Level 3 Leverages the Data to make Decisions in the Plant Processes Operability Determinations
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24 © 2010 Electric Power Research Institute, Inc. All rights reserved. Margin Management Model High Risk of Failure Design Margin Full Qualification Analytical Margin Ongoing IST Trend Actual Capability 24
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25 © 2010 Electric Power Research Institute, Inc. All rights reserved. Level 3 Leverages the Data to make Decisions in the Plant Processes Operability Determinations Equivalency Evaluations
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26 © 2010 Electric Power Research Institute, Inc. All rights reserved. Equivalency Evaluation 26 Attribute or Characteristic Required Value Original Equipment or Configuration Values Replacement Equipment or Configuration Values Evaluation Results Set-Point Range 25–35 psi10–100 psi Meets requirements Pressure Rating/ Proof Pressure 1800 psi/NA3000/250 psi Meets requirements Instrument Accuracy 0.3% repeatability 7 psi maximum deadband 0.25% repeatability 5.1 psi deadband 0.25% repeatability 5.2 psi deadband Meets requirements, but need to update set- point calculation to reflect new deadband and model.
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27 © 2010 Electric Power Research Institute, Inc. All rights reserved. Equivalency Evaluation 27 Attribute or Characteristic Required Value Original Equipment or Configuration Values Replacement Equipment or Configuration Values Evaluation Results Material Compatibility with Primary Fluid Material must not degrade or corrode in contact with primary fluid. Primary diaphragm is kapton polyimide with an ethylene propylene rubber O-ring seal. Primary diaphragm is 316L Stainless Steel with a welded seal. Meets requirements; 316L Stainless Steel is acceptable. Seismic Qualification Test Report IEEE 344-1971 3 g horizontal 2 g vertical 5% damping Site response curve CTE Test Report 1 777-82N-C Rev. 1 Meets requirements; qualification maintained based on AOB document 8200-800. Environmental Qualification Test Report IEEE 323-1974 120 o F maximum 95% humidity 10 5 rad TAD CTE Test Report 1777-82N-D Rev. 3 Meets requirements; qualification maintained based on AOB document 8200-800.
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28 © 2010 Electric Power Research Institute, Inc. All rights reserved. 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….
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29 © 2010 Electric Power Research Institute, Inc. All rights reserved. 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
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30 © 2010 Electric Power Research Institute, Inc. All rights reserved. 30 Relationships connecting Requirements to the Detailed Design Information to the Installed Information that Describes and Validates the Installed Asset CM Taxonomy with Standard Relationships
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31 © 2010 Electric Power Research Institute, Inc. All rights reserved. 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
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32 © 2010 Electric Power Research Institute, Inc. All rights reserved. PDF files Excel Spread Sheets Drawings Calculations Specifications Data Sheets Tag tagdesc docnumber dpress dtemp Dcode Supplier System O/O System Drawings Calculations Specifications tag_num tag_desc doc_num doc_rev des_press des_temp des_code PDF files Excel Spread Sheets Handover/Turnover Current State Handover Processes
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33 © 2010 Electric Power Research Institute, Inc. All rights reserved. PDF files Excel Spread Sheets Drawings Calculations Specifications Data Sheets Tag tagdesc docnumber dpress dtemp Dcode Supplier System O/O System Drawings Calculations Specifications tag_num tag_desc doc_num doc_rev des_press des_temp des_code 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 PDF files Excel Spread Sheets WIP - PIM Handover Framework
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34 © 2010 Electric Power Research Institute, Inc. All rights reserved. PDFs Drawings Calculations Specifications Data Sheets Data Tag tagdesc docnumber dpress dtemp Dcode Supplier System O/O System Drawings Calculations Specifications tag_num tag_desc doc_num doc_rev des_press des_temp des_code 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 PDF files Excel Spread Sheets Future State Normalizing to PIM Handover
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35 © 2010 Electric Power Research Institute, Inc. All rights reserved. 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 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 PDF files XML Schemas PDFs Drawings Calculations Specifications Data Sheets Data Tag tagdesc docnumber dpress dtemp Dcode Supplier System Future State Normalized to PIM Handover
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36 © 2010 Electric Power Research Institute, Inc. All rights reserved. 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
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37 © 2010 Electric Power Research Institute, Inc. All rights reserved. EPRI PIM Model Russell AdamsBob RenuartEPRI Technical Consultant RHAdams ConsultingRenuart Consulting Russell.H.Adams@gmail.comRenuartConsulting@gmail.com Thank you 37
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