Extraction of the inherent nature of wind speed using wavelets and FFT
| dc.contributor.author | Alam, Md. Mahbub | |
| dc.contributor.author | Rehman, Shafiqur | |
| dc.contributor.author | Al-Hadhrami, Luai M. | |
| dc.contributor.author | Meyer, Josua P. | |
| dc.date.accessioned | 2014-04-25T11:47:22Z | |
| dc.date.available | 2014-04-25T11:47:22Z | |
| dc.date.issued | 2014-10 | |
| dc.description.abstract | Due to technological advancement, availability of multi-megawatt wind turbines, ease of installation and maintenance, economic compatibility and commercial acceptance, wind power is being used globally for both grid-connected and off-grid applications. The wind power is intermittently available due to the fluctuating nature of the wind and hence needs to be understood well. Its variability was studied in this paper both in time and spatial domain. The present work utilized daily mean values of wind speed from different meteorological stations spread over the Kingdom of Saudi Arabia in conjunction with wavelet transform and fast Fourier transform power spectrum techniques to understand the dynamic nature of the wind at nine stations. The study found that wind speed changed by ± 0.6 to ± 1.6 knots over a long period of about 10 years depending on the locations. The long-term mean wind speed of 5.6, 8.9, 6.25, 8.1, 6.0, 7.1, 6.0, 8.6 and 7.3 knots was obtained at Abha, Dhahran, Gizan, Guriat, Hail, Jeddah, Riyadh, Turaif and Yanbu, respectively. | en |
| dc.description.librarian | hb2014 | en |
| dc.description.librarian | ai2014 | |
| dc.description.sponsorship | Research Institute of King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia. | en |
| dc.description.uri | http://www.journals.elsevier.com/energy-for-sustainable-development/ | en |
| dc.identifier.citation | Alam, MM, Rehman, S, Al-Hadhrami, LM & Meyer, JP 2014, 'Extraction of the inherent nature of wind speed using wavelets and FFT', Energy for Sustainable Development, vol. 22, pp. 34-47. | en |
| dc.identifier.issn | 0973-0826 (print) | |
| dc.identifier.other | 10.1016/j.esd.2014.02.004 | |
| dc.identifier.uri | http://hdl.handle.net/2263/39682 | |
| dc.language.iso | en | en |
| dc.publisher | Elsevier | en |
| dc.rights | © 2014 Elsevier Inc. All rights reserved. Notice : this is the author’s version of a work that was accepted for publication in Energy for Sustainable Development. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Energy for Sustainable Development, vol. 22, pp. 34-47, 2014. DOI: 10.1016/j.esd.2014.02.004. | en |
| dc.subject | Wind energy | en |
| dc.subject | Wind speed | en |
| dc.subject | Fast fourier transform | en |
| dc.subject | Power spectrum | en |
| dc.subject.lcsh | Wind power | en |
| dc.subject.lcsh | Winds -- Speed -- Measurement | en |
| dc.subject.lcsh | Fourier analysis | en |
| dc.subject.lcsh | Wavelets (Mathematics) | en |
| dc.title | Extraction of the inherent nature of wind speed using wavelets and FFT | en |
| dc.type | Postprint Article | en |