Data Analytics. How Operational Analytics can transform the grid. Sameer Tiku. Product Architect. Bentley Systems

Transcription

1 Data Analytics Sameer Tiku Product Architect Bentley Systems How Operational Analytics can transform the grid

2

3 Data heart of the digital transformation Remote sensing of objects and machines The Environment Real-time Data Wi-Fi Enabled Devices Remote Operations Multiple data types from various sources with great volume and velocity of change Data Historians IT Systems Man-made Data Challenge lies in gaining access to the data, bringing it into one place, and using it correctly.

4 Making the right decision With all of the information available, how do you know you are making the right decision? When is the best time to make the decision? Are you making the decision too late or after the event? How do you aid decision making? Is lack of visibility into asset and operational performance hindering decision making?

5 The Growth of Data Data is growing at an exponential rate due to advances in sensor technology and costs, access, and devices that can produce data. Velocity Big data Volume Data complexity then calls out for applications that can manage these diverse data types.??? Variety Veracity

6 Common Buzzword Definitions Operational Analytics Helps companies improve their situation awareness and ability to sense and respond quickly to changing business conditions Dig Data High volume, velocity and variety information assets that demand cost effective, innovative forms of information processing for enhanced insight and decision making.? ITOT The IT and OT convergence in brings two worlds together operational technology data and IT data - to deliver new levels of decision support. Internet of Things Is the network of physical objects that contain embedded technology to communicate and sense or interact with their internal states or the external environment.

7 Analytics within the Smart Grid

8 Electric Utilities Top 5 Priorities Ageing Infrastructure Solutions: Asset Health Monitoring, Structural Integrity, Corrosion Management, Condition Monitoring Reliability Solutions: RCM, Condition Monitoring, Asset Health Environmental Regulation Solutions: Emissions Monitoring, Reporting Ageing Workforce Solutions: Capturing and Institutionalizing domain knowledge, User defined analytics / templates, Modeling Specific Domain Expertise, Reducing need for field visits Rising costs In asset failure, loss of production, unplanned downtime, operational expenditure

9 Why Operational Analytics? Business Intelligence Descriptive Analytics Diagnostic Analytics Predictive Analytics } Operational Analytics

10 Operational Analytics Capture Structured & unstructured data from any source Advanced calculation and analysis, rules engine and R modeling Prescriptive analytics for automated decision making Real-time dashboards Predictive capability to identify forward looking opportunities & events

11 IT-OT-ET Convergence for Operational Analytics ERP CRM Demand Management Financial Planning Network Optimization Information Technology Advancing Asset Performance Engineering Technology / Digital Engineering Models Operational Technology Control Systems Smart Machines Location Systems Environment Sensors Barcodes / RFID Schematics 3D Models Catalogs Analysis Network Models

12 Converging IT and OT in the Smart Grid Operational Technology Typically associated with fieldbased devices connected to the distribution system, and the infrastructure for monitoring and controlling those devices. This includes control center based systems such as SCADA and DMS. Information Technology Traditionally associated with backoffice information systems used for conducting business-type transactions, such as cost and tax accounting, billing and revenue collection, asset tracking and depreciation, human resource records and time-keeping, and customer records.

13 Take advantage of the Industrial Internet of Things Only going to get bigger. Due to growth of connected devices, open standards & the cost of smart technology decreasing. Using analytics to take advantage of the data can lead to lowering energy costs and realizing the potential of a complete Smart Grid.

14 Go from reactionary to proactive

15 Analytics in the real world

16 Large Electricity Transmission Company - Substations CHALLENGES Fleet management Large numbers of diverse assets, large geography, built in redundancy Asset Life and Reliability year life, Condition Monitoring reliability less than 10 years Proprietary Software Every Condition Monitoring device has bespoke software Remote Connectivity Need to get the data off site to those who need it Reliability and Confidence History of poor reliability of Condition Monitoring systems and signal processing Sharing Data Data from different systems needs to be combined

17 Solutions Collect data from Hydran dissolved gas monitoring systems, and transmit data via GPRS to a Web server. Visualization allows users to view all assets Drill down to view oil levels, temperatures, compressors etc in real-time on dashboards Notifications sent to engineers based on alarm levels when required

18 Typical transformer condition monitoring dashboard

19 Benefits Improved reaction times resulting from the introduction of real-time monitoring and alerting Reduced costs due to scheduled maintenance Extended asset life by quantifying and managing risk Reduced disruption due to event alerts Increased decision making

20 Gas Levels and Alarm Dashboard

21 Large Electricity Transmission Company Overhead Lines and Towers CHALLENGES Unable to predict the corrosion rate of steel tower network Needed to identify problem lines and individual towers Unable to plan best financial strategies

22 Solutions This was created through a care and risk evaluation model Use the Amulet system to take all data that affects the degradation of steel, zinc, and organic coatings on all above ground steelwork This involved taking data from a variety of sources including: temperature, humidity, time of wetness; pollution in the form of airborne sulfur dioxide; location in altitude, proximity to sea, lakes, reservoirs, rivers, minor and major roads; and history, including installation date, coating records, and maintenance history Analytic techniques were used to calculate the long term risk

23 Typical example of corrosion index across a line

24 Benefits First time it was possible to predict the expected condition of transmission towers across a selection of the network. This allowed preventive and replacement strategies to be planned Reduced maintenance costs Manage and plan costs over a long-term strategy. Move from unplanned to proactive

25 The Future: Context Capture - Asset Performance Remodeling

26 IT-OT-ET Convergence for Operational Analytics ERP CRM Demand Management Financial Planning Network Optimization Information Technology Advancing Asset Performance Engineering Technology / Digital Engineering Models Operational Technology Control Systems Smart Machines Location Systems Environment Sensors Barcodes / RFID Schematics 3D Models Catalogs Analysis Network Models

27 THANK YOU