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http://dx.doi.org/10.7836/kses.2017.37.6.079

A Proposal of an Interpolation Method of Missing Wind Velocity Data in Writing a Typical Weather Data  

Park, So-Woo (Department of Civil and Environmental System Engineering, Sungkyunkwan University)
Kim, Joo-wook (School of Civil, Architectural Engineering, and Landscape Architecture, Sungkyunkwan University)
Song, Doo-sam (School of Civil, Architectural Engineering, and Landscape Architecture, Sungkyunkwan University)
Publication Information
Journal of the Korean Solar Energy Society / v.37, no.6, 2017 , pp. 79-91 More about this Journal
Abstract
The meteorological data of 1 hour interval are required to write a typical weather data for building energy simulation. However, many meterological data are missing and the interpolation method to recover the missing data is required. Especially, lots of meterological data are replicated by linear interpolation method because the changes are not significant. While, the wind velocity fluctuates with the time or locations, so linear interpolation method is not appropriate in interpolation of the wind velocity data. In this study, three interpolation methods, using surrounding wind velocity data, Inverse Distance Weighting (IDW), Revised Inverse Distance Weighting (IDW-r), were analyzed considering the characteristics of wind velocity. The Revised Inverse Distance Weighting method, proposed in this study, showed the highest reliability in restoration of the wind velocity data among the analyzed methods.
Keywords
Typical weather data; Missing wind velocity data; Interpolation; Inverse Distance Weighting, IDW; Revised Inverse Distance Weighting, IDW-r;
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Times Cited By KSCI : 5  (Citation Analysis)
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