scholarly journals Methodologies Used in the Extrapolation of Wind Speed Data at Different Heights and Its Impact in the Wind Energy Resource Assessment in a Region

10.5772/20669 ◽  
2011 ◽  
Author(s):  
Francisco Bauelos-Ruedas ◽  
Csar Angeles-Camacho ◽  
Sebastin
Keyword(s):  
Wind Speed ◽  
Wind Energy ◽  
Energy Resource ◽  
Resource Assessment ◽  
Wind Speed Data

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.

Wind Energy Resource Assessment at Tindouf Region, Extreme Southwest of Algeria

2014 ◽  
Vol 541-542 ◽  
pp. 972-976 ◽  
Author(s):  
Sidi Mohammed Boudia ◽  
Abdelhalim Benmansour ◽  
Mohamed Abdellatif Tabet Hellal
Keyword(s):  
Wind Speed ◽  
Wind Energy ◽  
Electric Energy ◽  
Energy Resource ◽  
Resource Assessment ◽  
Western Sahara ◽  
Natural Region ◽  
South West ◽  
Mean Wind Speed ◽  
Two Parameter

In this paper, with the help of two-parameter Weibull distribution, the monthly, seasonal and annual assessment of wind energy potentiality was made using the wind speed data collected in the last decade, from 2001 to 2010 for the meteorological station of Tindouf region. The vertical extrapolation of Weibull parameters and mean wind speed at a height of 50m and the analysis of temporal energy efficiency using a wind turbine of 600kW rated power from Fuhrländer manufacturer was made. The results show that Tindouf situated in extreme Algerian southwest, in the natural region of the Sahara, on the border with Morocco (west), the non-autonomous territory of Western Sahara (south-west) and Mauritania (south), is one of windiest region in the country, swept by local winds with a good annual mean wind speed =5.67m/s and an annual mean wind power density equal to 200W/m2at 10m, while the highest monthly wind energy produced may be reached in May, the seasonal in Spring and the annual gross electric energy produced is equal to 1.85GWh/year.

scholarly journals Wind Energy Resource Assessment and Feasibility Study of Wind Farm in Kaligandaki Riverbank of Mustang District

1970 ◽  
Vol 11 ◽  
pp. 159-166
Author(s):  
Mukesh Ghimire ◽  
Ram C Poudel
Keyword(s):  
Wind Speed ◽  
Wind Energy ◽  
Power Density ◽  
Wind Farm ◽  
Meteorological Data ◽  
Energy Resource ◽  
Resource Assessment ◽  
Net Energy ◽  
Unit Energy ◽  
Utility Scale

This study presents wind energy resource assessment and financial analysis of a 15 MW wind farm in Mustang for utility scale power generation. Hourly meteorological data at Kagbeni and Thini measured at 10 m and 20 m height from 2001 to 2005 have been analyzed and annual average wind speed and power density at 75 m above ground level at Kagbeni 8.05 m/s and 851 W/m2 whereas the same for Thini are 6.99 m/s and 337 W/m2 respectively.WAsP analysis showed that the wind speed and wind power density in the study area (20 × 20 km2) varied from 2.72 m/s to 44.51 m/s and 0.23 kW/m2 to 173.27 kW/m2. Optimized layout of a 15 MW wind farm that comprised of twenty five S52 -600 kW turbines, developed by open Wind software yields annual gross energy 63.58 GWh, and net energy 41.66 GWh with capacity factor of 31.68 %. The economic analysis of the farm suggests that the unit energy cost stands on range NRs 4.57 to NRs 6.10 under different energy availability scenario to meet the project MARR of 16.1%. Based on the results, it is apparent that the wind resources at Mustang are suitable for harnessing wind energy especially for the purpose of utility scale electricity generation. Site accessibility is a major challenging factor to establish a wind farm currently. Key words: WAsP; wind energy; wind farm DOI: 10.3126/njst.v11i0.4139Nepal Journal of Science and Technology 11 (2010) 159-166

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.

Wind Energy Resource Assessment for Wind Farm

2011 ◽  
Vol 130-134 ◽  
pp. 1295-1297
Author(s):  
Hui Qun Ma ◽  
Qi Feng Wang
Keyword(s):  
Wind Speed ◽  
Wind Energy ◽  
Weibull Distribution ◽  
Wind Power ◽  
Wind Farm ◽  
Energy Resource ◽  
Resource Assessment ◽  
Important Process ◽  
Wind Resources ◽  
Resources Assessment

In feasible research of wind farm construction, wind resources assessment is an important process. The grade of wind resources is the crucial qualification in the construction. It determines whether this wind farm is profitable or not. his paper introduces the theory of wind energy resource assessment firstly, including: wind power density, wind speed correction and Weibull distribution. Then take Yishui wind farm as example to calculate the wind energy resource assessment.

scholarly journals Wind Energy Resource Assessment and Feasibility Study of Wind Farm in Mustang

1970 ◽  
Vol 8 (1-2) ◽  
pp. 93-104 ◽  
Author(s):  
Mukesh Ghimire ◽  
Ram C. Poudel ◽  
Nawraj Bhattarai ◽  
Mahesh Chandra Luintel
Keyword(s):  
Wind Speed ◽  
Wind Energy ◽  
Power Density ◽  
Wind Farm ◽  
Meteorological Data ◽  
Energy Resource ◽  
Resource Assessment ◽  
Net Energy ◽  
Unit Energy ◽  
Utility Scale

This study presents the wind energy resource assessment and financial analysis of a 15 MW proposed wind farm in Mustang for utility scale power generation. Hourly meteorological data at Kagbeni and Thini measured at 10 m and 20 m height from 2001 to 2005 have been analyzed and the annual average wind speed and power density 75 m above ground level at Kagbeni are 8.05 m/s and 851 W/m2 whereas the same for Thini is 6.99 m/s and 337 W/m2, respectively. WAsP analysis shows that the wind speed and wind power density in the study area (20 × 20 km2) varies from 2.72 m/s to 44.51 m/s and 0.23 kW/m2 to 173.27 kW/m2. Optimized layout of a 15 MW wind farm that is comprised of twenty-five S52 -600 kW turbines, developed by openWind software, yields annual gross energy 63.58 GWh, and net energy 41.66 GWh with a capacity factor of 31.68%. The economic analysis of the farm suggests that the unit energy cost is in the range of NRs 4.57 to NRs 6.10 under different energy availability scenarios when meeting the project MARR of 16.1%. Based on the results, it is apparent that the wind resources at Mustang are suitable for harnessing wind energy especially for the purpose of utility scale electricity generation. Site accessibility is a major challenging factor to establish a wind farm currently.Keywords: WAsP; OpenWind; Resource Assessment; Wind Farm; Feasibility StudyDOI: http://dx.doi.org/10.3126/jie.v8i1-2.5099Journal of the Institute of Engineering Vol. 8, No. 1&2, 2010/2011Page: 93-104Uploaded Date: 20 July, 2011

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
Sign in / Sign up

Export Citation Format

Share Document