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Jhonny Di Girolamo P.E CenterPoint Energy

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Presentation on theme: "Jhonny Di Girolamo P.E CenterPoint Energy"— Presentation transcript:

1 Jhonny Di Girolamo P.E CenterPoint Energy
MUG Transformer Exception Data & Asset Life Cycle Analytics using Loading and Aging Factors Jhonny Di Girolamo P.E CenterPoint Energy SWEDE 2018 Tulsa, Oklahoma May 2018

2 Legal Disclaimer This presentation is being provided for informational purposes only and does not purport to be comprehensive. Neither CenterPoint Energy, Inc., together with its subsidiaries and affiliates (the “Company”), nor its employees or representatives, make any representation or warranty (express or implied) relating to this information. By reviewing this presentation, you agree that the Company will not have any liability related to this information or any omissions or misstatements contained herein. You are encouraged to perform your own independent evaluation and analysis. CenterPoint Energy :

3 ASSET MANAGEMENT ANALYTICS
Year 10 Year 5 Year 0 CenterPoint Energy :

4 MUG Transformer ALC Analytics and Dashboards – Added Value and Benefits
Supports Business/Operations decisions Analyze automatically thousands of asset records Consolidates disparate data sources with a consistent methodology that supports subject matter experts decision making Supports knowledge transfer due to retiring workforce Establishes foundation for asset management strategy and policy development and provides framework that aligns with ISO 55000 Support asset strategies with actionable intelligence – reduce time for obtaining information Enhances investment prioritization and asset replacement strategies, and help to mitigate asset failure risk CenterPoint Energy :

5 MUG Transformer ALC Analytics Schema
Unique Equipment ID O&M Expenses Acquisition Value Nameplate Voltage Manufacturer year Install year Manufacturer Serial Number KVA rating Equipment Style Primary Connection Location Regression Model Excel SAP PM Tableau Dashboard Manually input Analytics Foundation Unique Equipment ID Peak Load (kVA) TLM ADMS m1 m2 m.. GIS MUG Insp. F. Unique Equipment ID No of outages MTBF Unique Equipment ID Latitude Longitude Unique Equipment ID Temperature and Visual Conditions Humidity Ambient T CenterPoint Energy :

6 MUG Transformer ALC Analytics Schema
Transformer failure rate, natural aging, voltage level, and Peak Load % Health Parameters Capital and O&M Expenses Ratio (COMER) Transformer Failure Rate Natural Aging Load Ability (Peak Load) Number of Outages Geospatial Data Age Score+ <5 4.0 Age Score* <5 0.7 DISABLE Load (%) Score <50% 50-75% 25 75-90% 50 90-100% 75 >100% 100 OFF # Outages Latitude Longitude ON ON Voltage Class (HFPV) ADMS GIS Voltage ++ Score 35 kV 15 kV 100 + EPRI White Paper Utility Failure rate and Historical MUG Replacement Inspection Form (Excel) OFF Temperature and Visual Conditions Humidity Ambient T ++ IEEE Transactions Oct. 1994 * Hartford Steam Boiler Insurance Study SAP TLM MUG CenterPoint Energy :

7 HI Weighting and Ranking
Phase 1 Parameter Weighting Transformer Failure Rate 42% Load Ability (Peak Loading) 40% Natural Aging 14% Capital and O&M Expenses Ratio DISABLE Historical Failure Performance - VOLTAGE CLASS 4% Phase 2 Parameter Weighting Historical Failure Performance - MANUFACTURER NA Historical Failure Performance – EQUIPMENT STYLE Temperature Conditions Dissolved Gas Analysis Environmental factors Total HI Ranking Good Condition Need to be monitored Recommended to be replaced* * Data quality and condition assessments need to be conducted before replacement. CenterPoint Energy : 7

8 ALC Analytics for MUG Transformers Dashboard
CenterPoint Energy :

9 MUG Transformer ALC Analytics Schema (Next steps)
Unique Equipment ID O&M Expenses Acquisition Value Nameplate Voltage Manufacturer year Install year Manufacturer Serial Number KVA rating Equipment Style Primary Connection Location Regression Model R+ Accenture SAP PM Tableau Dashboard Analytics Foundation Unique Equipment ID No. of customers Type of customers (R, I, C) Load Duration (%) TLM ADMS m1 m2 m.. GIS MUG Inspection Form Unique Equipment ID No of Events MTBF Unique Equipment ID Latitude Longitude Unique Equipment ID Temperature and Visual Conditions Humidity Ambient T CenterPoint Energy :

10 MUG Transformer ALC Analytics Peak Load % vs Load Duration
300 kVA PADMOUNT Current Calculation (Peak Load) HI (LAB) = 100 % Proposed Calculation (IEEE Std C ) HI (LAB) = 63 % CenterPoint Energy :

11 Condition-Based Monitoring T (Next Steps)
Inspection Form using IR Technology and Tablet TXpert ABB Prototype – Monitoring System (oil level, pressure, moist, Temp, V, I, Hydrogen, GPS) CenterPoint Energy :

12 Manufacture/Construction year: Transformers missing it
Summary Cleansed data to reflect consistent and accurate values: collect and record missing data. This is an ongoing task. Consolidated IT and OT data sources to a centralized system: SAP HANA Map data to ensure that the necessary data is being collected for accurate analysis. This is an ongoing process. Implement the created Inspection Form to capture Temperatures and visual inspection data as part of the condition-based inspection program and asset analytics. Manufacture/Construction year: Transformers missing it January % January % CenterPoint Energy :

13 Questions CenterPoint Energy :

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