Optimum routing of a sailing wind farm |
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Authors: | Masaru Tsujimoto Takashi Uehiro Hiroshi Esaki Takeshi Kinoshita Ken Takagi Susumu Tanaka Hiroshi Yamaguchi Hideo Okamura Masuho Satou Yoshimasa Minami |
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Institution: | (1) National Maritime Research Institute, 6-38-1 Shinkawa, Mitaka Tokyo, 181-0004, Japan;(2) National Institute for Environmental Studies, 16-2 Onogawa, Tsukuba Ibaraki, 305-8506, Japan;(3) Institute of Industrial Science, University of Tokyo, 4-6-1 Komaba, Meguro, Tokyo 153-8505, Japan;(4) Department of Naval Architecture and Ocean Engineering, Osaka University, 2-1 Yamadaoka, Suita Osaka, 565-0871, Japan;(5) Department of Social and Environmental Engineering, Hiroshima University, 1-4-1 Kagamiyama, Higashihiroshima Hiroshima, 739-8527, Japan;(6) Akishima Laboratories (Mitsui Zosen) Inc., 1-1-50 Tsutsujigaoka, Akishima Tokyo, 196-0012, Japan;(7) The Floating Structures Association of Japan, 1-19-4 Nishishinbashi, Minato, Tokyo 105-0003, Japan |
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Abstract: | To acquire the wind energy of the oceans, a sailing wind farm has been proposed. The wind farm considered is composed of a
semisubmersible floating structure, 11 windmills, four sails, six thrusters, and storage for hydrogen. To maximize the acquired
energy, an effective algorithm to search for optimum routes was developed. The algorithm is based on the fact that beam winds
yield a maximum of acquired energy. This feature reduces the computation time, and, consequently, efficient route optimization
becomes possible in a reasonable time. After setting an operational area for the wind farm, navigation simulations for a 1-year
period were carried out. A numerical weather forecast was used as well as the responses of the floating structure, such as
the speed of the structure, the output power of the windmills, and the time of course changes. In the simulation, the wind
farm evades rough seas to avoid structural damage, and an optimum route is searched for. The capacity factor of the system
was used to evaluate the efficiency of the optimized routes. From the simulations, the maximum capacity factor achieved was
42.6%. The dependency of the capacity factor on the initial position of the wind farm was also examined. It was shown that
offshore from Sanriku in northeastern Japan is an area suited to the operation of the wind farm. The effect of the initial
position on consecutive periods of operation is discussed. |
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Keywords: | Wind turbine generator system Routing Weather forecast Capacity factor Navigation simulation Wind farm |
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