WIND ENERGY POTENTIAL FOR POWER GENERATION OF A LOCAL SITE IN GUSAU, NIGERIA

2010 ◽  
Vol 11 (1-4) ◽  
pp. 99-116 ◽  
Author(s):  
Oluseyi O. Ajayi ◽  
R. O. Fagbenle ◽  
James Katende ◽  
Joshua O. Okeniyi ◽  
O. A. Omotosho
Keyword(s):  
Power Generation ◽  
Wind Energy ◽  
Energy Potential ◽  
Local Site ◽  
Wind Energy Potential

ANN-based evaluation of wind power generation: A case study in Kutahya, Turkey

2014 ◽  
Vol 25 (4) ◽  
pp. 11-22 ◽  
Author(s):  
Mustafa Arif Özgür
Keyword(s):  
Power Generation ◽  
Wind Energy ◽  
Wind Power ◽  
Conjugate Gradient ◽  
Clean Energy ◽  
Energy Potential ◽  
Wind Measurement ◽  
Levenberg Marquardt ◽  
Wind Energy Potential ◽  
Generation Capacity

Wind energy is one of the most significant and rapidly developing renewable energy sources in the world and it provides a clean energy resource, which is a promising alternative in the short term in Turkey. The wind energy potential in various parts of Turkey is becoming economical due to reductions in wind turbine costs, and in fossil fuel atmospheric pollution. This paper is to present, in brief, wind potential in Turkey and to perform an investigation on the wind energy potential of the Kutahya region. A wind measurement station was established at Dumlupinar University Main Campus in order to figure out the wind energy potential in the province. This study analyses the electricity generation capacity of the Kutahya region, Turkey, which uses the wind power system. In the study, the wind data collected from wind measurement stations between July 2001 and June 2004 (36 months) were evaluated to determine the energy potential of the region. Using this energy potential value, the power generation capacity of Kutahya was investigated for 17 different wind turbines. In this analysis, an ANN-based model and Weibull and Rayleigh distribution models were used to determine the power generation. In the ANN model, different feed-forward back propagation learning algorithms, namely Pola-Ribiere Conjugate Gradient, Levenberg–Marquardt and Scaled Conjugate Gradient were applied. The best appropriate model was determined as Levenberg–Marquardt with 15 neurons in a single hidden layer. Using the best ANN topology, it was determined that all the turbines were profitable except turbine type 1. The system with the turbine type 3 was decisively the most profitable case as determined at the end of the study according to Net Present Value  concept.

Analysis of offshore wind energy potential for power generation in three selected locations in Nigeria

2021 ◽  
pp. 1-16
Author(s):  
Mamman Rabiu Onoruoiza ◽  
Oyewole Adedipe ◽  
Sunday Albert Lawal ◽  
Oluwafemi Ayodeji Olugboji ◽  
Victor Chiagozie Nwachukwu
Keyword(s):  
Power Generation ◽  
Wind Energy ◽  
Offshore Wind ◽  
Offshore Wind Energy ◽  
Energy Potential ◽  
Wind Energy Potential

scholarly journals Assessment of wind energy potential ofthe Murmansk Regionand performance of Kola wind farm

Vestnik MGTU ◽  
2020 ◽  
Vol 23 (4) ◽  
pp. 376-386
Author(s):  
V. F. Beley ◽  
G. V. Kotsar
Keyword(s):  
Power Generation ◽  
Wind Energy ◽  
Electricity Generation ◽  
Wind Farm ◽  
Reactive Power ◽  
Energy System ◽  
Energy Potential ◽  
Murmansk Region ◽  
Wind Energy Potential ◽  
Wind Activity

The paper gives an analysis of perspectives for development of wind power generation, information on the share of wind energy in electricity generation in the world and in Russian Federation is provided as well. Data on gross, technical, economic potential of wind energy of Russia and the Murmansk Region has been presented. When calculating the gross wind energy potential of the region, data from the last 10 years of observations carried out at 37 meteorological stations have been used. The territory of the region has been divided into 6 distinctive zones, based on the wind activity. Gross energy potential has been calculated for each zone: for the heights of 10, 50, 100, and 150 m. Gross wind energy potential of the region at the height of 150 m has thus been estimated at 23,090 billion kWh. The Murmansk Region's 201 MW Kola wind farm, which consists of 57 Siemens Gamesa SG 3.4-132 wind turbines with a unit capacity of 3.465 MW, is to be constructed by 2021 under the direction of Enel Green Power. Wind energy potential and annual power generation of the Kola wind farm have been assessed. The difference between the obtained results and calculations of Enel Group's specialists amounts to less than 15 %. For the cases of relocation of Kola wind farm to different wind zones, the annual power generation of the wind farm has been estimated. It has been determined, that in case of Kola wind farm's relocation to the zone with the highest wind activity its annual electricity generation could be increased up to 1.5 times. A model of the Kola energy system has been developed in NEPLAN software, its validity has been proven. The calculations of the wind farm's operation modes show that voltage levels of the system nodes and powerflows are within the boundaries defined by normative documents. The effectiveness of reactive power regulation of the wind farm has been shown.

scholarly journals An Assessment of Wind Energy Potential as a Power Generation Source in Helwan

2016 ◽  
Vol 4 (6) ◽  
pp. 453-456
Author(s):  
Ahmed E. Ghitas ◽  
◽  
A. Abulwfa ◽  
Yasser A. Abdel-Hadi
Keyword(s):  
Power Generation ◽  
Wind Energy ◽  
Energy Potential ◽  
Wind Energy Potential

Assessment of Wind Energy Potential for Small Scale Power Generation at Thatta, Sindh, Pakistan

2015 ◽  
Vol 11 ◽  
pp. 261-264
Author(s):  
Fayyaz Rasheed ◽  
◽  
S.Z. Abbas ◽  
R. Tanweer ◽  
Firoz Ahmad ◽  
...  
Keyword(s):  
Power Generation ◽  
Wind Energy ◽  
Small Scale ◽  
Energy Potential ◽  
Wind Energy Potential
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