Title: Off-shore wind power potential evaluation and economy analysis of entire Japan using GIS technology

Authors: Asifujiang Abudureyimu; Yoshiki Hayashi; Zulati Litifu; Ken Nagasaka

Addresses: Department of Electronics and Information Engineering, Tokyo University of Agriculture and Technology, Nakamachi 2-24-16 Koganei-shi, Tokyo, Japan. ' Department of Electrical and Electronics Engineering, Tokyo University of Agriculture and Technology, Nakamachi 2-24-16 Koganei-shi, Tokyo, Japan. ' Department of Statistics and Information, Xinjiang University of Finance and Economics, N.449 Middle Beijing Road, Urumqi, Xinjiang, China. ' Department of Electrical and Electronics Engineering, Tokyo University of Agriculture and Technology, Nakamachi 2-24-16 Koganei-shi, Tokyo, Japan

Abstract: Off-shore wind energy has been drawing interest recently. This research is focusing on the potential analysis of off-shore wind energy surrounding entire Japan coast using GIS technology. Base on the economy and environment assessment, this research is evaluating the current situation and forecasting on future of wind energy technology in Japan. In order to reduce the green-house gas emission, renewable energy (such as wind energy, solar energy, fuel cell) will gradually substitute can be installed the primary energy resource (such as coal, oil, scale gas). Based on GIS technique, wind power turbines in the surrounding area of Japanese coast-line. In the study, 2,000 kW rated wind turbines are considered for further installation. As the result of this study, we have determined that 108,067 in 330 places number of off-shore with annual generation of 180.0 TWh are expected. This is equal to 20% of annual total generated power of Japan in 2010. Wind speed 6 m/s or more of the coastline, the average cost of electricity is about generation cost is within 10 to 17 Japanese Yen/kWh and construction cost is within 139,445 Japanese Yen/kW to 240,366 Japanese Yen/kW.

Keywords: GIS technology; off-shore wind farms; wind energy; Japan; wind power; geographic information systems; forecasting; wind turbines; wind speed; electricity generation.

DOI: 10.1504/IJAMECHS.2012.048397

International Journal of Advanced Mechatronic Systems, 2012 Vol.4 No.2, pp.86 - 93

Received: 08 May 2021
Accepted: 12 May 2021

Published online: 03 Aug 2012 *

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