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Remote Sens. 2016, 8(12), 1019;

Wind Resource Assessment for High-Rise BIWT Using RS-NWP-CFD

Korea Institute of Energy Research, Daejeon 34129, Korea
CEDIC Co. Ltd., Seoul 08506, Korea
Chungnam Institute, Gongju 32589, Korea
Author to whom correspondence should be addressed.
Academic Editors: Charlotte Bay Hasager, Alfredo Peña, Xiaofeng Li and Prasad S. Thenkabail
Received: 29 July 2016 / Revised: 26 November 2016 / Accepted: 8 December 2016 / Published: 13 December 2016
(This article belongs to the Special Issue Remote Sensing of Wind Energy)
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In this paper, a new wind resource assessment procedure for building-integrated wind turbines (BIWTs) is proposed. The objective is to integrate wind turbines at a 555 m high-rise building to be constructed at the center of Seoul, Korea. Wind resource assessment at a high altitude was performed using ground-based remote sensing (RS); numerical weather prediction (NWP) modeling that includes an urban canopy model was evaluated using the remote sensing measurements. Given the high correlation between the model and the measurements, we use the model to produce a long-term wind climate by correlating the model results with the measurements for the short period of the campaign. The wind flow over the high-rise building was simulated using computational fluid dynamics (CFD). The wind resource in Seoul—one of the metropolitan cities located inland and populated by a large number of skyscrapers—was very poor, which results in a wind turbine capacity factor of only 7%. A new standard procedure combining RS, NWP, and CFD is proposed for feasibility studies on high-rise BIWTs in the future. View Full-Text
Keywords: building-integrated wind turbine; wind resource assessment; numerical weather prediction; computational fluid dynamics; Seoul building-integrated wind turbine; wind resource assessment; numerical weather prediction; computational fluid dynamics; Seoul

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Kim, H.-G.; Jeon, W.-H.; Kim, D.-H. Wind Resource Assessment for High-Rise BIWT Using RS-NWP-CFD. Remote Sens. 2016, 8, 1019.

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