Nature-Inspired Approach Using Seasonal Comparison of Wind Speed With Spectral and Statistical Analysis

2022 ◽  
pp. 10-20
Author(s):  
Tahir Cetin Akinci ◽  
Ramazan Caglar ◽  
Gokhan Erdemir ◽  
Aydin Tarik Zengin ◽  
Serhat Seker
Keyword(s):  
Statistical Analysis ◽  
Wind Speed ◽  
Wind Energy ◽  
Resource Assessment ◽  
Seasonal Differences ◽  
Wind Speed Data ◽  
Seasonal Characteristics ◽  
Set Up ◽  
Seasonal Analysis ◽  
Wind Energy Systems

Seasonal analysis of wind speed includes elements of its evaluation and analysis for wind energy production in complex geographical areas. These analyses require wind energy systems to be set up, integrated, operated, and designed according to seasonal differences. Istanbul wind speed data were collected hourly and analyzed seasonally. When the results of the analysis are examined, no significant increase in seasonal transitions was observed, while certain changes were observed between summer and winter. Here, statistical analysis, Weibull distribution function, and signal processing-based PSD analysis for wind speed is performed. In addition, correlation analysis was made between the seasons. Although significant results were obtained in signal-based analyses, results were obtained for seasonal transitions in correlation analyses. Seasonal spectral densities were calculated in the spectral analysis of wind speed data. This study has important implications in terms of extraction of seasonal characteristics of wind speed, resource assessment, operation, investment, and feasibility.

scholarly journals Evaluating the potential of offshore wind energy in the Gulf of Oman using the MENA-CORDEX wind speed data simulations

2021 ◽  
Vol 15 (1) ◽  
pp. 613-626
Author(s):  
Shahab S. Band ◽  
Sayed M. Bateni ◽  
Mansour Almazroui ◽  
Shahin Sajjadi ◽  
Kwok-wing Chau ◽  
...  
Keyword(s):  
Wind Speed ◽  
Wind Energy ◽  
Offshore Wind ◽  
Offshore Wind Energy ◽  
Gulf Of Oman ◽  
Wind Speed Data

scholarly journals Assessment of wind energy potential at Kuwaiti Islands by statistical analysis of wind speed data

2018 ◽  
Vol 51 ◽  
pp. 01001
Author(s):  
Khaled Al-Salem ◽  
Waleed Al-Nassar
Keyword(s):  
Wind Speed ◽  
Wind Energy ◽  
Lower Layer ◽  
Probability Distributions ◽  
Clean Energy ◽  
Energy Potential ◽  
Wind Speed Data ◽  
The North ◽  
Energy Conversion Systems ◽  
Wind Energy Potential

Kuwait possesses a potential of renewable energy, such as solar and wind energy. Wind energy is an alternative clean energy source compared to fossil fuel, which pollute the lower layer of the atmosphere. In this study, statistical methods are used to analyze the wind speed data at Mubarak port (at Bubiyan Island), Failaka Island and Um-AlMaradim Island; which are located respectively in the north, mid and south of Kuwait territorial waters. Wind speed is the most important parameter in the design and study of wind energy conversion systems. The wind speed data were obtained from the Costal Information System Database (CIS) at Kuwait Institute for Scientific Research [1, 2 and 3]over a thirty seven years period, 1979 to 2015. In the present study, the wind energy potential of the locations was statistically analyzed based on wind speed data, over a period of thirty seven years. The probability distributions are derived from the wind data and their distributional parameters are identified. Two probability density functions are fitted to the probability distributions on a yearly basis. The wind energy potential of the locations was studied based on the Weibull and the Rayleigh models.

Wind Potential Assessment for the Utilization from Wind Energy in the Household Level: A Case Study of Nakhonratchasima Thailand

2016 ◽  
Vol 835 ◽  
pp. 749-752
Author(s):  
Yuttachai Keawsuntia
Keyword(s):  
Wind Speed ◽  
Wind Energy ◽  
Alternative Energy ◽  
Energy Resource ◽  
Energy Utilization ◽  
Distribution Method ◽  
Household Level ◽  
Wind Speed Data ◽  
Wind Potential

Wind energy is an important alternative energy resource because of it clean, does not cause pollution and it can be used as replacement of a fossil fuel energy. Utilization of the wind energy, the wind speed data has to be analyzed to make sure before use it. In this article is to present the wind speed data analysis by using Weibull distribution method. Wind speed data from the meteorological station at Pakchong district, Nakhonratchasima province, Thailand was used as the case study. The results show that this area has wind speed about 2.5 to 3.5 m/s. The average wind power density was 17.513 W/m2 and the total wind energy was 153.9819 kW·hr/m2 per year. This wind potential of this area can be used for water pumping and electricity generating for use in a household.

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