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Friday, June 21, 2013

1 July 2013 Hawaii Section IEEE Meeting Announcement

The University of Hawai’i Smart Sustainable Microgrid Project


EXCOM, Buffet and Hawaii Section COM19/SP01 Chapter Technical Talk 

Please note: To help with the cost of the buffet, members pay $5.00 and non-members $10.00.
For student members and the speaker, there is no charge.

Title: The University of Hawai’i Smart Sustainable Microgrid Project

Abstract: This talk starts by discussing Hawai’i’s energy landscape and the Renewable Energy and Island Sustainability (REIS) program. The state of Hawai’i and the US Department of Energy (DOE) signed a memorandum of understanding in 2008 known as the Hawai’i Clean Energy Initiative (HCEI) requiring 70% of Hawaii’s energy come from clean sources by 2030. 

At the beginning of 2009 we formed a multidisciplinary research and education program at the University of Hawai’i at Manoa, (REIS) to focus on renewable energy, sustainability, and smart grids. The REIS group won an internal UHM sustainability competition in 2009 and in 2010 won a DOE work force training grant in the Strategic Training and Education in Power Systems.  We discuss goals of our group including building the REIS program,  research and education activities, and interfacing with other UHM sustainability efforts,  outside academic institutions,  industry, and government.


We then discuss the University of Hawai’i Manoa (UHM) Smart Sustainable Microgrid Project.  This project is in coordination with the UHM Department of Electrical Engineering, UHM facilities, and Hawaiian Electric Company.   We discuss some of the goals and research of this project which include; sensing and monitoring, modeling and analysis, optimization and control,   and social and economic and policy considerations.  This talk focuses on applying signal processing methods to the sensing and monitoring project and also the modeling and analysis project. We also discuss a new Smart Campus Energy Lab and  the UHM microgrid which will serve as a laboratory testbed. 
Location:
Building: Maple Gardens Restaurant
Room Number: Small Room in the back
909 Isenberg Street
Honolulu,  Hawaii
United States 96826 
Date: 01-July-2013
Time: 05:30PM to 09:30PM (4.00 hours) All times are: US/Hawaii


Email meeting contact... John W. Camery, Mobile: (808) 342-7800, E-mail: john.camery@ieee.org

No Admission Charge.

Click Here to Register

Speaker:

Anthony Kuh of IEEE
Topic: The University of Hawai’i Smart Sustainable Microgrid Project
Abstract: This talk starts by discussing Hawai’i’s energy landscape and the Renewable Energy and Island Sustainability (REIS) program. The state of Hawai’i and the US Department of Energy (DOE) signed a memorandum of understanding in 2008 known as the Hawai’i Clean Energy Initiative (HCEI) requiring 70% of Hawaii’s energy come from clean sources by 2030. At the beginning of 2009 we formed a multidisciplinary research and education program at the University of Hawai’i at Manoa, (REIS) to focus on renewable energy, sustainability, and smart grids. The REIS group won an internal UHM sustainability competition in 2009 and in 2010 won a DOE work force training grant in the Strategic Training and Education in Power Systems. We discuss goals of our group including building the REIS program, research and education activities, and interfacing with other UHM sustainability efforts, outside academic institutions, industry, and government. We then discuss the University of Hawai’i Manoa (UHM) Smart Sustainable Microgrid Project. This project is in coordination with the UHM Department of Electrical Engineering, UHM facilities, and Hawaiian Electric Company. We discuss some of the goals and research of this project which include; sensing and monitoring, modeling and analysis, optimization and control, and social and economic and policy considerations. This talk focuses on applying signal processing methods to the sensing and monitoring project and also the modeling and analysis project. We also discuss a new Smart Campus Energy Lab and the UHM microgrid which will serve as a laboratory testbed.
Biography: Anthony Kuh received his B.S. in Electrical Engineering and Computer Science
at the University of California, Berkeley in 1979, an M.S. in Electrical Engineering from
Stanford University in 1980, and a Ph.D. in Electrical Engineering from Princeton
University in 1987. Dr. Kuh previously worked at AT&T Bell Laboratories and has been
on the faculty in Electrical Engineering at the University of Hawai’i since 1986. He is currently a Professor in the Department and is also currently serving as director of the interdisciplinary renewable energy and island sustainability (REIS) group. Previously, he served as Department Chair of Electrical Engineering Dr. Kuh's research is in the area of neural networks and machine learning, adaptive signal processing, sensor networks, communication networks, and renewable energy and smart grid applications.

Dr. Kuh won a National Science Foundation Presidential Young Investigator Award
and is an IEEE Fellow. He was also a recipient of the Boeing A. D. Welliver Fellowship and received a Distinguished Fulbright Scholar’s Award working at Imperial College in London. Dr. Kuh was an Associate Editor for the IEEE Transactions on Circuits and Systems, served on the IEEE Neural Networks Administrative Committee, served on the IEEE Neural Networks for Signal Processing Committee, and was a Distinguished Lecturer for the IEEE Circuits and Systems Society. Dr. Kuh co-chaired the 1993 International Symposium on Nonlinear Theory and Its Applications (NOLTA) and served as the technical co-chair for the 2007 IEEE ICASSP both held in Honolulu. He is currently serving as the IEEE Signal Processing Society Regions 1-6 Director at Large, on the Board of Governors of the Asia Pacific Signal and Information Processing Association, and as a senior editor of the IEEE Selected Topics on Signal Processing Journal. 
Address: 484 Holmes Hall, 2540 Dole St., Honolulu, Hawaii, United States, 96822

Meeting Agenda:

1. Sign-in and distribution of MD Materials
2. EXCOM /Buffet
3. Review statistics about the Signal Processing Society
4. Technical talk

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