Optimum Route Decision of VLMOS for Renewable Energy Using Genetic Algorithm
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Accession number;06A1016299
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| Title;Optimum Route Decision of VLMOS for Renewable Energy Using Genetic Algorithm |
| Author;
TAKEZAWA OSAMU
(Osaka Univ., Osaka, Jpn)
TAKAGI KEN
(Osaka Univ., Osaka, Jpn)
FUNAKI TSUYOSHI
(Kyoto Univ., Kyoto, Jpn)
KAWASAKI ZEN
(Osaka Univ., Osaka, Jpn)
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Journal Title;Kaiyo Kogaku Shinpojiumu (CD-ROM)
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Journal Code:S0108B
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ISSN:
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VOL.19th;NO.;PAGE.ROMBUNNO.79(2006)
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| Figure&Table&Reference;FIG.13, REF.11 |
| Pub. Country;Japan |
| Language;English |
| Abstract;In recent years, much attention has been paid to the renewable energy due to air pollution, global heating, and exhaustion of fossil fuels. The authors have proposed a renewable energy system which comprised of a power generation plant, an earth observation satellite, and the earth simulator. The plant for wind and solar powers on VLMOS (Very Large Mobile Offshore Structure) is navigated so that the system gets the maximum output based on the weather forecasts with an earth observation satellite and the earth simulator. In this paper, GA (Genetic Algorithm) is applied for an optimum route decision of VLMOS. In order to verify the effectiveness of the system and GA, a simulation using wind and solar radiation data obtained from satellite is run. The studied period is from April 2003 to March 2004. A gene of GA is the plant moving direction, and GA setting is 100 individuals and 200 generations. For our numerical investigation, the proposed system is found to enhance the total power production by a maximum of 30 % as compared with that of the fixed plant. (author abst.) |
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