Technologies Energy Analytics Gary Seifert OSIsoft July30, 2013

Proprietary Information Of Energy 2013 Measure to Manage The Power of Data Baseline Patterns Forecast Manage Report

Proprietary Information Of Energy 2013 Energy Data Analytics Loads Facilty Baseline vs Actual... Analyze… Metering Action… MONITORING REQUIREMENTS Access to Historical?

Proprietary Information Of Energy 2013 It’s a Changing World New regulations and goals – Are You Ready? Metering Data Center Consolidation Energy Conservation Green and Sustainable Renewable Energy Eliminate Redundancy

Proprietary Information Of Energy 2013 Typical Data Sources SCADA Systems Building Management systems Smart Metering Systems HVAC Systems Substation Metering, IED – Relaying Systems Synchrophasers (PMU’s) Billing and Invoicing Systems Industrial Control Systems Historians, And….

Proprietary Information Of Energy 2013 Energy Analytics Many Types of Analytics – Examples Include – Sky is the Limit – Do What makes sense for you – Pattern Recognition – Develop insight into your system – Detect load and cost creep – Detect anomalies – Develop performance metrics – Develop Key Performance Indicators (KPI) – Track and Plot KPI and real time costs – Automate monitoring, analytics, alarms, reports – Develop awareness and engage the end user – Impact the culture

Proprietary Information Of Energy 2013 Time and Events Geospatial Performance Scorecard Profile Ad Hoc Behavioral Gas Flow

Proprietary Information Of Energy 2013 Examples from Energy AI Daily Patterns Holiday WasteAbnormal Loads 24/7 Loads

Proprietary Information Of Energy 2013 Complex Systems Rich in DATA and Opportunity

Proprietary Information Of Energy 2013 Example MicroGrid Monitor

Proprietary Information Of Energy Coordination with local utility; hot summer month demand response University Facilities – University of California, San Diego

Proprietary Information Of Energy 2013 Why, a success story? Case Study at UCSD – Energy Metrics monitored – Actions change behavior and loads – Resulting in Real Savings – Energy and SDGE incentives San Diego Gas & Electric Has Granted $7.2M to UC San Diego Monday, July 29, 2013 San Diego Gas & Electric announced it has given UC San Diego $7.2 million that represents energy efficiency incentives that it earned by implementing 30 energy efficiency projects between 2010 and UCSD’s efforts in 2010 resulted in a $330,000 award, $2.5 million in 2011 and $4.4 million in SDG&E said that as a result, UCSD has saved more than 21 million kilowatt hours — the equivalent of removing about 5,000 cars off the road, powering 4,000 homes for a year and preventing the emission of more than 25,000 metric tons of carbon dioxide into the atmosphere. “At UC San Diego, we are dedicated to finding sustainable solutions and it is an honor to have these efforts commended,” Gary C. Matthews, UC San Diego’s vice chancellor for resource management and planning, said in a statement. — SDBJ Staff Report

Proprietary Information Of Energy 2013 What can we learn from this?

Proprietary Information Of Energy 2013 Forecasting vs Actual Legend Green – Past 1 year Blue – Past 2 years ago Green – Today’s Loads Purple - Forecast for today This an example of Historian and Forecasting analytics

Proprietary Information Of Energy 2013 Real Time Analysis - Alarms

Proprietary Information Of Energy 2013 Visualize Energy, Analysis and History

Proprietary Information Of Energy Ad Hoc Analysis

Proprietary Information Of Energy 2013 What is Next Future Trends that will benefit from Energy Analytics : Increasing Emphasis on Economical Operation Robust management of unruly or dynamic systems will become the norm for many Support for new Tariffs (like FERC 775) will change the economics of load management and total energy cost (Becoming part of the Ancillary services to the bulk power system) Dynamic storage and generation and loads that will enter most areas of the market – EV’s, second life batteries, unexpected solar impacts, etc) Enhances integration of distributed and renewable energy resources including CHP Smart Microgrids

Proprietary Information Of Energy 2013 Summary Once aware, management can begin Quick payback is normal To manage, know your data, performance indicators and automate monitoring, alarming, and reporting Develop insight into your system needs, patterns, and performance metrics Make the steps to engage users, operators, management and make the data and analytical data public and prominent Take those first steps now, don’t wait. – `It’s ok to take small steps – Do not wait for the home run project Infuse the culture and see benefits ASAP

Proprietary Information Of Energy 2013 Questions?? Gary Seifert EE PE