dc.contributor.author | Georgakakos, Aristidis Peter | en_US |
dc.contributor.author | Yao, Huaming | en_US |
dc.contributor.author | Yu, Yongqing | en_US |
dc.contributor.editor | Hatcher, Kathryn J. | en_US |
dc.date.accessioned | 2012-06-11T00:40:48Z | |
dc.date.available | 2012-06-11T00:40:48Z | |
dc.date.issued | 1995-04 | |
dc.identifier.isbn | 0-935835-04-0 | |
dc.identifier.uri | http://hdl.handle.net/1853/43866 | |
dc.description | Proceedings of the 1995 Georgia Water Resources Conference, April 11 and 12, 1995, Athens, Georgia. | en_US |
dc.description.abstract | In North America, hydropower provides a significant portion
of the electrical capacity, ranging from about 60 percent in
Canada, to more than 30 percent in Mexico, to about 13 percent
in the U.S. (North America Hydroelectric Research and
Development Forum, 1992). Among the attractive features of
hydropower is that it is renewable, clean, efficient, economical.,
and domestically produced. In the U.S., the amount of
hydroelectric production is equivalent to nearly 500 million
barrels of oil annually, which, at today's oil prices, have a value
of $9 billion. In addition to meeting electricity demands,
hydropower facilities play a critical role in water management,
helping to provide flood control and water for irrigation,
municipal and industrial uses, navigation, recreation, and fish
and wildlife preservation.
Improving the way projects are operated is a top research need.
It is worth noting that a 1 percent increase in the efficiency of
existing hydro plants in the U.S. would provide an additional 3
billion kilowatt-hours of electricity annually, saving the
equivalent of 1.4 million tons of coal or 4.9 million barrels of oil
(North American Hydroelectric Research and Development
Forum, 1992).
The primary motivations for this research work are (1) to
demonstrate that modem optimization methods can effectively
optimize the utilization of hydropower facilities and (2) compare
the relative performance of optimization and the more traditional
simulation models. In this article, we take up the first task and
describe the problems addressed, the models developed, and the
results obtained. The second task will be the subject of a panel
discussion. | en_US |
dc.description.sponsorship | Sponsored and Organized by: U.S. Geological Survey, Georgia Department of Natural Resources, The University of Georgia, Georgia State University, Georgia Institute of Technology | en_US |
dc.description.statementofresponsibility | This book was published by the Carl Vinson Institute of Government, The University of Georgia, Athens, Georgia 30602 with partial funding provided by the U.S. Department of Interior, Geological Survey, through the Georgia Water Research Institute as authorized by the Water Resources Research Act of 1990 (P.L. 101-397).
The views and statements advanced in this publication are solely those of the authors and do not represent official views or policies of the University of Georgia or the U.S. Geological Survey or the conference sponsors. | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | Georgia Institute of Technology | en_US |
dc.relation.ispartofseries | GWRI1995. Water Quantity | en_US |
dc.subject | Water resources management | en_US |
dc.subject | Hydropower | en_US |
dc.subject | Water utilities | en_US |
dc.subject | Hydroelectric power | en_US |
dc.title | A Control Model for Hydropower Systems Analysis and Operation | en_US |
dc.type | Proceedings | en_US |
dc.contributor.corporatename | Georgia Institute of Technology. School of Civil and Environmental Engineering | en_US |
dc.publisher.original | Carl Vinson Institute of Government | en_US |