IT-OT and Advanced Analytics for Distribution Companies. Filip Kowalski, SAP CEE

Transcription

1 IT-OT and Advanced Analytics for Distribution Companies Filip Kowalski, SAP CEE

2 Distributors need a new platform to integrate IT and OT and to enable the Smart Grid and Advanced Analytics Various scenarios and use cases to leverage advanced analytics: Asset health management Predictive maintenance Management of severe events / outages Demand response management Virtual power plants Grid infrastructure analytics Consumption and load analytics Leakage and fraud management 3

3 The platform needs to fulfill many requirements to enable IT/OT integration Combine data from various sources Handle Big Data Support spatial data Support (near) real-time processes Simplify the overall system landscape Enable new business scenarios 4

4 Customer Example: Improved Investment Planning through Load Forecasting Benefits & Value Gained insight from large volumes of data ~3.15 billion records per year from over 22,000 sensors at 400 substations Reduced process time from 2 months to 2 days Increased the frequency of analysis from once a year to once a month Improved forecast accuracy Solution Forecasting with SAP HANA and data delivery with SAP Data Services 5

5 User Interface of the Load Forecasting Solution 6

6 Dashboard of the Alliander real-time load forecasting PoC 7

7 Customer Example: Optimize Maintenance Strategy with Loss-of-Life Analysis Benefits & Value Integrated data from various sources & streamlined data processing Ability to calculate transformer loss of life & true age of assets to enhance replacement strategy Enabled spatial analysis Solution Data correlation, forecasting and spatial analysis with SAP HANA with Predictive functionality 8

8 Geo-spatial analysis enhanced GUI Freely select area on map and analyse all comprised transformers Calculate area aggregates, e.g. average load, overall max load measurement or other KPIs, e.g. overall maintenance costs in area number of customers, etc. 9

9 Customer Example: Optimize Maintenance Asset Health Management Benefits & Value Optimized investment process through efficient load forecasting. Reduced risk of outage through enhanced information about potential failures Support to determine true age of the assets and likelihood to fail Solution Asset Health Management application based on the SAP Predictive Maintenance and Service Foundation 10

10 EDF RE: maintenance data combined with operational & weather data to improve prediction of power output from energy assets Software in use with near-real-time analytics from SAP HANA utilizes the SAP HANA IoT Connector Solution by OSIsoft. 11

11 EDF Renewable Energy client testimonial we can now use SAP HANA and the SAP HANA IoT Connector by OSIsoft to analyze and visualize operations in an integrated manner. This will generate new insights that will allow us to dramatically improve our bottom line. Matthias Beier, Vice President of Information Technology at EDF Renewable Energy offers immediate visual insights by SAP Lumira 12

12 Predictive Analytics Use Cases MARKETING SALES :-) FINANCE Brand sentiment Predictive maintenance Network optimization Insider threats HR OPERATIONS SERVICE Asset tracking Personalized care Product recommendation Risk mitigation in real time IT SUPPLY CHAIN FRAUD/RISK Predictive Quality Real-time demand/ supply forecast 360-degree customer view Fraud detection 11+ LoB 13

13 Challenge of more variability and volatility Variability of wind energy production Volatility of balancing price 14

14 Integrated Power Operations Economic power down / up-times Power companies need more operational flexibility to deal with volatility and variability Those operators who integrate renewable and thermal assets into trading portfolios optimized thru intraday markets will have a competitive advantage One way to achieve it is to integrate commercial with technical operations 15

15 Thank you! 16