Transforming the Data Culture by Optimizing the PI System at EDF-Renewable Energy Presented by David Meyers Jason Nunez © Copyright 2015 OSIsoft, LLC Agenda A Brief Overview of EDF-Renewable Energy Data Reliability and the Impact on Company Culture The Problem of Challenging the Culture Our Solution: Projects over the last two-year project undertaken to change that attitude. Our Results: Where we are today after the culmination of our work, and where we want to go. © Copyright 2015 OSIsoft, LLC 2 Wind 9.3 GW Installed Capacity Solar EDF Renewable Energy is the U.S. subsidiary of EDF Energies Nouvelles, the renewable arm of EDF Group (Électricité de France) © Copyright 2015 OSIsoft, LLC 3 Teaser – The Questions Raised How to take over the development of a PI System infrastructure that has fallen by the wayside, that has not met the needs of the company? How do you monitor and manage a system that you had no hand in building? What happens when you are called upon to carry on someone else’s vision (that may no longer be relevant)? How do you transform a company’s culture with regards to the value of data? © Copyright 2015 OSIsoft, LLC 4 Problem Summary Since we began using the PI System, EDF-RE experienced rapid growth. 4100 MW [VALUE] MW Survivability Inability to Sufficiently Monitor Low Data Quality Low Data Confidence Low System Utilization 515 MW 2008 2014 2015 © Copyright 2015 OSIsoft, LLC 5 Problem – System Design Site I Site II Site III PI HISTORIAN & INT PI HISTORIAN & INT PI HISTORIAN & ACE PI HISTORIAN & INT PI HISTORIAN & ACE PI HISTORIAN & INT PI HISTORIAN & ACE PI HISTORIAN & INT PI HISTORIAN & ACE PI HISTORIAN & INT HISTORIAN & ACE PI HISTORIAN & INT PI HISTORIAN &PIACE PI HISTORIAN & INT PI HISTORIAN & ACE PI Administrators PI HISTORIAN & INT PI HISTORIAN & ACE PI HISTORIAN &PIINT HISTORIAN & INT PI HISTORIAN & ACE Asset Managers PI HISTORIAN & INT PI HISTORIAN &PIACE HISTORIAN & ACE PI HISTORIAN & INT PI HISTORIAN & ACE Engineering PI HISTORIAN & INT PI HISTORIAN & ACE Site IV HISTORIAN & INT PI HISTORIAN & ACE PI HISTORIAN &PIINT PI HISTORIAN & ACE PI HISTORIAN & INT PI HISTORIAN & ACE PI HISTORIAN & INT PI HISTORIAN & ACE PI HISTORIAN & INT PI HISTORIAN & ACE Site V Business Systems San Diego HISTORIAN & INT PI HISTORIAN &PIINT PI HISTORIAN & ACE PI HISTORIAN & INT HISTORIAN & ACE PI HISTORIAN &PIACE PI HISTORIAN & INT PI HISTORIAN & ACE PI HISTORIAN & INT PI HISTORIAN & ACE PI HISTORIAN & INT PI HISTORIAN & ACE PI HISTORIAN & ACE © Copyright 2015 OSIsoft, LLC 6 Problem – Standardization Descriptor Converter Grid Current Converter Grid Frequency Converter Grid Voltage Yaw Angle Active Power Generator Bearing Temperature 1 Generator Bearing Temperature 2 Generator Current Phase A Generator Current Phase B Generator Current Phase C Generator Speed Generator Stator Temperature Generator Stator Winding Temperature Generator Voltage Phase A Generator Voltage Phase B Generator Voltage Phase C Negative Active Energy Negative Reactive Energy Positive Active Energy Positive Reactive Energy Reactive Power Nacelle Ambient Air Temperature Nacelle Internal Air Temperature Nacelle Position Nacelle Relative Wind Direction Nacelle Wind Direction Nacelle Wind Speed Power Factor Expected APC Operating State (Number) Operating State (Text) Status Code Status Code Come Go Status Code Index Blade # 1 Pitch Angle Node Class WCNV WCNV WCNV WCNV WGEN WGEN WGEN WGEN WGEN WGEN WGEN WGEN WGEN WGEN WGEN WGEN WGEN WGEN WGEN WGEN WGEN WNAC WNAC WNAC WNAC WNAC WNAC WPRC WREP WREP WREP WREP WREP WROT Site A WCNV_WYEStaA WCNV_MVHz WCNV_WYEStaPhV Site B WCNV_MVI WCNV_MVHz WCNV_MVV Site C WCNV_WYEStaA WCNV_MVHz WCNV_WYEStaPhV WGEN_WYEW WGEN_MVGnTmpBrg1 WGEN_MVGnTmpBrg2 WGEN_WYEStaAa WGEN_WYEStaAb WGEN_WYEStaAc WGEN_MvSpd WGEN_WYEW A1_MVTrmTmpgbxbrg1 A1_MVTrmTmpgbxbrg2 WGEN_WYEStaAa WGEN_WYEStaAb WGEN_WYEStaAc WGEN_MvSpd WGEN_WYEW WGEN_MVGnTmpBrg1 WGEN_MVGnTmpBrg2 WGEN_WYEStaAa WGEN_WYEStaAb WGEN_WYEStaAc WGEN_MvSpd WGEN_MVGnTmpRtr WGEN_WYEStaPhVa WGEN_WYEStaPhVb WGEN_WYEStaPhVc WGEN_WYEWNeg WGEN_WYEVArNeg WGEN_WYEWh WGEN_WYEVArh WGEN_WYEVAr WNAC_MVExTmp WNAC_MVIntlTmp WNAC_MVDir WNAC_MVRelWdDir WNAC_MVWdDir WNAC_MVWdSpd WGEN_MVGnTmpRtr WGEN_WYEStaPhVa WGEN_WYEStaPhVb WGEN_WYEStaPhVc WGEN_WYENegativeActiveEnergy WGEN_WYENegativeReactiveEnergy WGEN_WYEPositiveActiveEnergy WGEN_WYEPositiveReactiveEnergy WGEN_WYEVAr WNAC_MVExTmp WNAC_MVIntlTmp WNAC_MVPos WNAC_MVWdDir_rel WNAC_MVWdDir WNAC_MVWdSpd WGEN_MVGnTmpRtr WGEN_WYEStaPhVa WGEN_WYEStaPhVb WGEN_WYEStaPhVc WGEN_WYEWNeg WGEN_WYEVArNeg WGEN_WYEWh WGEN_WYEVArh WGEN_WYEVAr WNAC_MVExTmp WNAC_MVIntlTmp WNAC_MVDir WNAC_MVRelWdDir WNAC_MVWdDir WNAC_MVWdSpd WREP_INGWYEWExpAPC10s WREP_StvOpSt WREP_STVOpSt WREP_StvOpSt WREP_EventRawStatuscode WREP_EventRawComeGo WREP_EventRawIndex WTUR_STVRawStatusCode WTUR_STVComeGo WTUR_STVIndex WREP_EventRawStatuscode WREP_EventRawComeGo WREP_EventRawIndex Site D WCNV_WYEStaA WCNV_MVHz WCNV_WYEStaPhV WCNV_MvYawAngle WGEN_WYEW WGEN_MVGnTmpBrg1 WGEN_MVGnTmpBrg2 WCNV_WYEStaAa WCNV_WYEStaAb WCNV_WYEStaAc WGEN_MvSpd WGEN_MVGnTmpSta Site E WCNV_MVStaA WCNV_MVHz WCNV_WYEStaPhV WCNV_MvYawAngle WGEN_WYEW WGEN_MVGnTmpBrg1 WGEN_MVGnTmpBrg2 WCNV_WYEStaAa WCNV_WYEStaAb WCNV_WYEStaAc WGEN_MVSpd WGEN_MVGnTmpSta WGEN_WYEStaPhVa WGEN_WYEStaPhVb WGEN_WYEStaPhVc WGEN_wyewNeg WGEN_WYEStaPhVa WGEN_WYEStaPhVb WGEN_WYEStaPhVc WGEN_WyeWhNeg WGEN_WyeWh WGEN_WyeWh WGEN_MVVAR WNAC_MVExTmp WNAC_MVIntlTmp WNAC_MVDir WNAC_MVRelWdDir WNAC_MVWdDir WNAC_MVWdSpd WRPC_MVPIPF WGEN_MVVAR WNAC_MVExTmp WNAC_MVIntlTmp WNAC_MVDir WNAC_MVRelWdDir WNAC_MVWdDir WNAC_MVWdSpd WRPC_MVPIPF WTUR_STVOpSt WTUR_STVOpStDigit WREP_EventRawstvaltemp WREP_EventRawcomegotemp WREP_EventRawidxtemp WROT_MVPtAngValBl1 WTUR_Stvopst WTUR_Stvopstdigit WREP_EventRawstvaltemp WREP_EventRawcomegotemp WREP_EventRawidxtemp WROT_MVPtAngValBl1 © Copyright 2015 OSIsoft, LLC 7 Problem – Standardization • Exception and Compression Settings • Engineering Units © Copyright 2015 OSIsoft, LLC 8 Problem – Monitoring • Performance of a wind project could not be gauged − Data loss for whole weeks out of the year − Every calculation had to be crafted to accommodate these data gaps • Changes were executed without a firm understanding of the effects in profitability • Data no longer held any value • Failed Operational Infrastructure © Copyright 2015 OSIsoft, LLC 9 Solution Slides Creation of a data quality metric Fundamental system redesign New and updated technologies in the PI System Better ways of monitoring Accessibility – opening the data to all employees of EDF-Renewable Energy • The Impact on Culture • • • • • © Copyright 2015 OSIsoft, LLC 10 Solution - Creation of the Data Quality Metric • Quantify your progress for yourself and for the business • Important to have global acceptance amongst the departments • Tracking a high resolution data tag that is based on a physical phenomena that can assumed to always be live − Wind Speed − Power generated • Can be used to illustrate the cost in the lack of data © Copyright 2015 OSIsoft, LLC 11 Solution - Creation of the Data Quality Metric 1 1 0 2/3 = 66.66% © Copyright 2015 OSIsoft, LLC 12 Solution - Creation of the metric 120/144 = 83.3% © Copyright 2015 OSIsoft, LLC 13 Problem – System Design Site I Site II Site III PI HISTORIAN & INT PI HISTORIAN & INT PI HISTORIAN & ACE PI HISTORIAN & INT PI HISTORIAN & ACE PI HISTORIAN & INT PI HISTORIAN & ACE PI HISTORIAN & INT PI HISTORIAN & ACE PI HISTORIAN & INT HISTORIAN & ACE PI HISTORIAN & INT PI HISTORIAN &PIACE PI HISTORIAN & INT PI HISTORIAN & ACE PI Administrators PI HISTORIAN & INT PI HISTORIAN & ACE PI HISTORIAN &PIINT HISTORIAN & INT PI HISTORIAN & ACE Asset Managers PI HISTORIAN & INT PI HISTORIAN &PIACE HISTORIAN & ACE PI HISTORIAN & INT PI HISTORIAN & ACE Engineering PI HISTORIAN & INT PI HISTORIAN & ACE Site IV HISTORIAN & INT PI HISTORIAN & ACE PI HISTORIAN &PIINT PI HISTORIAN & ACE PI HISTORIAN & INT PI HISTORIAN & ACE PI HISTORIAN & INT PI HISTORIAN & ACE PI HISTORIAN & INT PI HISTORIAN & ACE Site V Business Systems San Diego HISTORIAN & INT PI HISTORIAN &PIINT PI HISTORIAN & ACE PI HISTORIAN & INT HISTORIAN & ACE PI HISTORIAN &PIACE PI HISTORIAN & INT PI HISTORIAN & ACE PI HISTORIAN & INT PI HISTORIAN & ACE PI HISTORIAN & INT PI HISTORIAN & ACE PI HISTORIAN & ACE © Copyright 2015 OSIsoft, LLC 14 Solution - Fundamental System Redesign INTERFACE PI HISTORIAN INTERFACE PI HISTORIAN INTERFACE PI HISTORIAN INTERFACE PI HISTORIAN INTERFACE PI HISTORIAN San Diego PI to PI Interface Asset Analytics PI Administrators Asset Managers PI Server Engineering INTERFACE I Business Systems INTERFACE II PI Coresight INTERFACE I INTERFACE II INTERFACE I INTERFACE II Users Anywhere © Copyright 2015 OSIsoft, LLC 15 Solution – PI System Tools: Asset Framework (AF) Structure Templatizing Outside Data © Copyright 2015 OSIsoft, LLC 16 Solution – PI System Tools Asset Analytics © Copyright 2015 OSIsoft, LLC 17 Solution - Monitoring • Notifications & NOC • Custom reports utilizing the AF SDK © Copyright 2015 OSIsoft, LLC 18 Solution – Accessibility • DMZ (Demilitarized Zone) − Secured yet accessible Centralization • PI Coresight − Freed from the confines of the cubicle • Standardization − Legitimate comparisons can be conducted © Copyright 2015 OSIsoft, LLC 19 Results - Summary • • • • • High Data Quality High Data Availability Increased Data Confidence Company-Wide Cohesiveness A Revolution in Company Culture © Copyright 2015 OSIsoft, LLC 20 Results – Data Availability • Completed the centralization effort by backfilling all data onto the central PI Collective • Data can be accessed from anywhere in the world (where there is an internet connection) • High Data Quality, low data loss − From 70% to over 99% data quality © Copyright 2015 OSIsoft, LLC 21 Results - Cohesiveness 1950 1450 950 450 -50 0 5 10 15 20 © Copyright 2015 OSIsoft, LLC 22 Results <insert picture of data quality visualization> © Copyright 2015 OSIsoft, LLC 23 Transforming the Data Culture by Optimizing the PI System at EDF-Renewable Energy “Defining the Science of Data and exposing the Value and possibilities that lie within” – Davidöff Mèyers Business Challenges • Low confidence in data • The need to make business decisions based on information • Struggled to match resources with growth Solution(s) • • • PI System redesign to achieve manageability and scalability Define a data quality metric and measure the progress Utilize new and improved PI Tools Results and Benefits • Unprecedented Data Quality • Buy-in and utilization from the whole company • The ability to grow and adapt to ever-changing environments © Copyright 2015 OSIsoft, LLC 2 4 David Meyers & Jason Nunez [email protected] [email protected] PI Development Engineers EDF - Renewable Energy © Copyright 2015 OSIsoft, LLC 25 Questions Please wait for the microphone before asking your questions State your name & company © Copyright 2015 OSIsoft, LLC 26 © Copyright 2015 OSIsoft, LLC
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