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Ee392n - Spring 2011 Stanford University Intelligent Energy Systems Gorinevsky and O’Neill 1 Lecture 1 Course Preview and Organization Lecture 1 Course.

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Presentation on theme: "Ee392n - Spring 2011 Stanford University Intelligent Energy Systems Gorinevsky and O’Neill 1 Lecture 1 Course Preview and Organization Lecture 1 Course."— Presentation transcript:

1 ee392n - Spring 2011 Stanford University Intelligent Energy Systems Gorinevsky and O’Neill 1 Lecture 1 Course Preview and Organization Lecture 1 Course Preview and Organization March 28 Dan ONeill Dimitry Gorinevsky Seminar Course 392N ● Spring2011

2 Outline Today is a short introductory lecture. Regular lectures begin April 4 Today –Class logistics –Intro to intelligent energy systems ee392n - Spring 2011 Stanford University 2Intelligent Energy Systems Gorinevsky and O’Neill

3 Instructors Dimitry Gorinevsky, Consulting Professor in EE –Information Decision and Control Applications –Broad industrial experience in advanced systems –www.stanford.edu/~gorinwww.stanford.edu/~gorin Daniel O’Neill, Consulting Professor in EE –Communication Networks and Demand Response –Executive and venture capital experience –www.stanford.edu/~dconeillwww.stanford.edu/~dconeill ee392n - Spring 2011 Stanford University Intelligent Energy Systems Gorinevsky and O’Neill 3

4 Logistics for the Course 1 unit CR/NC Weekly on Mondays –The room and time might change! –Watch the class website announcements Two introductory lectures –Grid and Comm. Overview – Dan –Control and Monitoring Basics – Dimitry Seven lectures by industry leaders Final class ee392n - Spring 2011 Stanford University 4Intelligent Energy Systems Gorinevsky and O’Neill

5 Logistics for the Course Requirements: –Attendance 1-2 page proposal for intelligent energy concept, research, or product, based on class presentations –Teams of up to three people, one person is acceptable –Due May 31 Top three proposals will be presented at the final –Will be considered by Stanford faculty and industrial presenters to receive research funding –The best proposal will be archived on class website including author info; expect PageRank 4 to 5. ee392n - Spring 2011 Stanford University 5Intelligent Energy Systems Gorinevsky and O’Neill

6 Intelligent Energy Systems Look at intelligent energy systems from a systems point of view Nearer term evolution of the grid leading to the Smart Grid Focus on information and management Specific challenges Time ee392n - Spring 2011 Stanford University 6Intelligent Energy Systems Gorinevsky and O’Neill Traditional Grid Intelligent Energy Systems Smart Grid

7 Traditional Grid 7 Conventional Electric Grid Generation Transmission Distribution Load Conventional Internet ee392n - Spring 2011 Stanford University Intelligent Energy Systems Gorinevsky and O’Neill

8 Backup: Traditional Grid ee392n - Spring 2011 Stanford University 8 Three major interconnects Intelligent Energy Systems Gorinevsky and O’Neill

9 Incorporating renewables – supply(t) Replacing old equipment, $1.5T –Electrical efficiency –Reliability –Embedded smarts Reducing operating costs –Excess capacity: Reserves –Bottlenecks: Transmission Deregulating The Traditional Grid is Changing ee392n - Spring 2011 Stanford University 9Intelligent Energy Systems Gorinevsky and O’Neill

10 Plant Age in Years Installed Net Capacity in MW Units without FGD:  15 years – Cluster V; < 15 years – Cluster VI  400 MW, < 15 years < 400 MW, < 15 years  400 MW,  15 years < 400 MW,  15 years I II III IV Backup: Capital Plant Age ee392n - Spring 2011 Stanford University 10Intelligent Energy Systems Gorinevsky and O’Neill

11 Intelligent Energy Systems Integrate leading edge –Control, monitoring and decision support –Communications technology –Information technology In new applications –Distribution Automation –Demand response –Building EMS Traditional Grid Intelligent Energy Systems Smart Grid ee392n - Spring 2011 Stanford University 11Intelligent Energy Systems Gorinevsky and O’Neill

12 Smart Energy Grid 12 Conventional Electric Grid Generation Transmission Distribution Load Intelligent Energy Network Load IPS Source IPS energy subnet Intelligent Power Switch Conventional Internet ee392n - Spring 2011 Stanford University Intelligent Energy Systems Gorinevsky and O’Neill

13 Current Systems Engineering Energy Management Systems – GE Demand Response – Akuacom/Honeywell Building Optimization – UTC Plant Monitoring – EPRI Sensing and Local Comm – Arch Rock/Cisco Wireless – EPRI Wireline (IP) - Cisco ee392n - Spring 2011 Stanford University 13Intelligent Energy Systems Gorinevsky and O’Neill

14 Communications Many competing ideas and standards Issues of performance and latency IEEE/NIST interface and data standards ee392n - Spring 2011 Stanford University 14Intelligent Energy Systems Gorinevsky and O’Neill

15 Business Logic Internet Applications ee392n - Spring 2011 Stanford University Intelligent Energy Systems Gorinevsky and O’Neill 15 Database Presentation Layer Backend Computer Tablet Smart phone Internet CRM and ad analytics Portfolio optimization Decision support Fraud detection

16 Business Logic Intelligent Energy Applications ee392n - Spring 2011 Stanford University Intelligent Energy Systems Gorinevsky and O’Neill 16 Database Presentation Layer Computer Tablet Smart phone Internet Communications Energy Application Application Logic (Intelligent Functions) Application Logic (Intelligent Functions)

17 Demand Response Application ee392n - Spring 2011 Stanford University Intelligent Energy Systems Gorinevsky and O’Neill 17 Akuacom/Honeywell May 16 Lecture

18 Plant Monitoring Application ee392n - Spring 2011 Stanford University Intelligent Energy Systems Gorinevsky and O’Neill 18 EPRI May 31 Lecture

19 Energy Management System ee392n - Spring 2011 Stanford University Intelligent Energy Systems Gorinevsky and O’Neill 19 GE April 25 Lecture SCADA/EMS Load Shedding & Restoration Applications Switch Order Management Generation Dispatch and Control Transmission Security Management Voltage/Transient Stability Unit Commitment/Transaction Evaluation Demand Forecasting

20 End of Slides Lecture 1 ee392n - Spring 2011 Stanford University 20Intelligent Energy Systems Gorinevsky and O’Neill


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