RESEARCH ON SPATIOTEMPORAL CHARACTERISTICS OF INTERPOLATION METHODS FOR MEASURED WIND DATA IN WIND RESOURCE ASSESSMENT

Ma Xueyun; Yang Decheng; Meng Renjie

doi:10.19912/j.0254-0096.tynxb.2024-1525

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Acta Energiae Solaris Sinica ›› 2026, Vol. 47 ›› Issue (1) : 494-501. DOI: 10.19912/j.0254-0096.tynxb.2024-1525

RESEARCH ON SPATIOTEMPORAL CHARACTERISTICS OF INTERPOLATION METHODS FOR MEASURED WIND DATA IN WIND RESOURCE ASSESSMENT

Ma Xueyun, Yang Decheng, Meng Renjie

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Abstract

During the pre-development period of wind power projects, timely and accurate assessment of site wind energy resources plays a key role in deciding a wind power project’s success or failure. In order to solve the problem that using a short-term wind data to conduct resource assessment may lead to unreliability, inaccuracy and inapplicability, in this study, we do research on the spatiotemporal characteristics of interpolation methods for measured wind data in two scenarios： an anemometer tower has been established but the measurement duration is less than 1 year; and the anemometer tower has not been established so the installation time and measuremert duration need to be decided. Across different terrain classification, data processing is repeatedly used to simulate real wind measurement. With different interpolation methods applied to predict data, the MSE between the interpolated predicted data and real wind data as the main assessment criterion, the study presents the recommended interpolation method in different terrain classifications and durations, and the recommend measurement duration in different terrain classifications.

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wind speed / time series analysis / resource assessment / wind farm / measure-correlate-predict / interpolation method

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Ma Xueyun, Yang Decheng, Meng Renjie. RESEARCH ON SPATIOTEMPORAL CHARACTERISTICS OF INTERPOLATION METHODS FOR MEASURED WIND DATA IN WIND RESOURCE ASSESSMENT[J]. Acta Energiae Solaris Sinica. 2026, 47(1): 494-501 https://doi.org/10.19912/j.0254-0096.tynxb.2024-1525

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