NGIN Insights Asset Management Excellence through data driven insights June 6, 2017

Transcription

1 NGIN Insights Asset Management Excellence through data driven insights June 6, 2017

2 Contents Introducing Eandis 3 Context 4 NGIN Insights Deepdive 7 Contacts 15 2

3 Introducing Eandis employees Active in 229 towns/ municipalities km Electricity network (twice around the world) 2.6 million connections social supplier customers km Natural gas network (once around the world) 1.7 million connections social supplier customers Street lights www Customer contact Website: visitors/month (upward) Call centre: calls/month (downward) customer offices: visitors/month (downward) 3

4 Context Trends and challenges NGIN Insights Data Science Ghent

5 Context Grid modernization and innovation Failure of functionality Asset approaching the end of their useful life Huge capital investment programs required to replace the aging infrastructure New asset functions in order to integrate decentral production New challenges require new solutions Maintain/invest/dispose/do-nothing dilemma Decreasing grid performance High (societal) cost of outages Narrower design margin for reliability Lifecycle principles and life cycle strategies not relevant anymore for new assets Extension of the physical environment ( the public domain) with the cloud New digital functions the digital grid (eg self healing grid) Standardization of physical assets, differentiation of digital solutions Functions fulfilled by non grid solutions (eg EV or batteries for storage and load balancing) Lifecycle management of non grid solutions Increased customer participation to the grid functionalities Different life cycles in one asset (physical and digital) New risks (cybersecurity, privacy) 5

6 NGIN Insights What is data driven Asset Management about? Asset Management capabilities IoT/Analytics capabilities Strategy Knowledge Insight (Big) Data Analytics Organization Machine learning Process Optimization Information People Data MAINTAIN Decision Digitization Visualization Technology Internet of Things Embedding the change into the organization Capturing the value of new technologies Action Becoming Asset Management Excellent

7 NGIN Insights Deepdive Low Pressure Gas Pipelines NGIN Insights Data Science Ghent

8 NGIN Insights Deepdive Integrated end-to-end solution Asset Information Management Predictive Asset Management Asset Risk Management Asset Management Planning 8

9 NGIN Insights Deepdive Asset Information Management P AIM PAMA ARM AMP M Standard data model Data quality dashboard Geospatial Analytics Static Asset Data (technical chars, etc.) Dynamic Data (events, inspections, etc.) External Factors (soil, traffic, ground water, etc.) Measurement Data Data Discovery Data Enrichment Data Cleansing Data Integration Data Quality 9

10 NGIN Insights Deepdive Predictive Asset Management AIM PAM ARM AMP Predictive Model Exploratory Dashboards Failure Pattern Recognition Failure Behavior Asset Segmentation Root Cause Analysis End-of-Life Modeling Policy Refinement 10

11 NGIN Insights Deepdive Asset Risk Management P AIM PAMA ARM AMP M Asset Risk Asset Health Asset Criticality Strategic Asset Management Objectives Safety Financial Performance Hindrance Reputation & Image Probability of Failure Asset Criticality Risk Matrix Risk Tolerance Situational Awareness 11

12 NGIN Insights Deepdive Asset Management Planning P AIM PAMA ARM AMP M Asset Management Planning Total Cost of Ownership Smart City Planning Desired Replacement Date Constraints (Resources, Regulatory Sanitation Programs, etc.) Optimization Model Simulation Asset Prioritization Constraints Optimization Life Cycle Costing Simulation 12

13 DLP Hadoop SparkR CPLEX Java API Spark / DataStage WebSphere Liberty + REST Service WebSphere Liberty + IFE Framework Cognos Analytics Flume Spark NGIN Insights Deepdive Technology (Cloud) Platform SECURITY OpenLDAP DIAS SCHEDULING Airflow/ DataStage INPUT SOURCES LANDING ZONE ANALYTICS ZONE OPERATIONAL ZONE OUTPUT CONSUMPTION Batch processing Event/Sensor/ SPSS Modeler ArcGIS Python MQTT SparkR REST Kafka ArcGis/Python SFTP SERVER Spark Streaming Logging & Quality PureData for Analytics SFTP SERVER Spark Hadoop HDFS 13

14 NGIN Insights Deepdive Realized benefits 60-90% Reduction of unplanned downtime annual cost 10-15% 5-8% Annual OPEX savings. Reduction of scrap/re-work Reduction in unplanned maintenance interventions. 7-10% Employed 50% 49 % Increase in Return On Capital Decrease of average inventory. 45% In plant maintenance costs Fewer inspection points 90% 14

15 Contacts NGIN Insights Data Science Ghent

16 Contacts Kim Vrancken Eandis Assets & Grid Architecture +32 (0) Dieter Vonken Deloitte Manager Energy, Infrastructure & Utilities Data Analytics +32 (0)

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