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Wind Speed Analysis Using Signal Processing Technique

In: Renewable Energy - Resources, Challenges and Applications

Author

Listed:
  • T. Cetin Akinci
  • Omer Akgun

Abstract

In this study, wind energy, the formation of this energy, and the necessary stages for the production of electrical energy will be discussed. Then, the countries' investments in wind energy will be mentioned. In the mathematical background, statistical methods and signal processing methods are used in the calculation of wind energy efficiency. In this chapter, a detailed analysis of the use of wind speed data with signal processing techniques will be made using the hourly wind speed data of Istanbul for the last 10 years. This data will be analyzed by the Fourier method. Afterward, analyses will be made with short-time Fourier transform (STFT) and bi-spectrum analysis method, and these results will be compared. The data obtained from the study can be considered as a framework for the wind farms to be constructed.

Suggested Citation

  • T. Cetin Akinci & Omer Akgun, 2020. "Wind Speed Analysis Using Signal Processing Technique," Chapters, in: Mansour Al Qubeissi & Ahmad El-Kharouf & Hakan Serhad Soyhan (ed.), Renewable Energy - Resources, Challenges and Applications, IntechOpen.
    • Handle: RePEc:ito:pchaps:206836
    DOI: 10.5772/intechopen.91840
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    More about this item

    Keywords

    wind speed; STFT; bi-spectrum analysis; data analysis;
    All these keywords.

    JEL classification:

    • Q20 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - General
    • Q40 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - General

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