scholarly journals Complementarity between Solar and Wind Energy Potentials in Benin Republic

2018 ◽  
Vol 28 ◽  
pp. 128-138 ◽  
Author(s):  
Maurel Aza-Gnandji ◽  
François Xavier Fifatin ◽  
A. Hypolite J. Hounnou ◽  
Frédéric Dubas ◽  
Didier Chamagne ◽  
...  
Keyword(s):  
Wind Energy ◽  
Pearson Correlation ◽  
Optimization Method ◽  
Pearson Correlation Coefficient ◽  
Energy Potential ◽  
Swarm Optimization ◽  
Radiation Data ◽  
Wind Energy Potential ◽  
Spatio Temporal ◽  
Benin Republic

This paper presents a study to show the complementarity between solar and wind energy potentials in Benin Republic. Daily wind speed data in the coast of Cotonou city, precisely in Cadjehoun district, has been used to assess wind energy potential. Solar potential is evaluated using spatio temporal daily solar radiation data covering the country. In this research, we have found the locations offering optimal complementarity between solar and wind energy. The complementarity is measured with Pearson correlation coefficient, which is used as objective function to be minimized. The optimization method used is Particle Swarm Optimization (PSO), which has been implemented in Matlab®. We showed that an optimal complementarity is obtained between the coast of Cotonou in the ‘Littoral’ department and the central part of the country in the ‘Collines’ department.

Wind Energy Potential Assessment and Wind Turbine Performance Investigation in the Cotonou Coast (Benin Republic)

2019 ◽  
Vol 45 ◽  
pp. 89-98
Author(s):  
Maurel Aza-Gnandji ◽  
François Xavier Fifatin ◽  
Frédéric Dubas ◽  
Christophe Espanet ◽  
Antoine Vianou
Keyword(s):  
Wind Energy ◽  
Wind Turbine ◽  
Maximum Energy ◽  
Capacity Factor ◽  
Energy Potential ◽  
Turbine Performance ◽  
Best Fitting ◽  
Wind Energy Potential ◽  
Wind Resource ◽  
Benin Republic

This paper presents a study of the monthly variability of wind energy potential at several heights and an investigation of the best fitting commercial wind turbine in the Cotonou coast (Benin Republic). The monthly Weibull parameters are calculated at 10 m and extrapolated at 30 and 50 m heights. The monthly Weibull wind power density and the wind speed carrying maximum energy are calculated at 10, 30 and 50 m. We showed that wind resource in the Cotonou coast is favorable for wind energy production at 30 and 50 m heights. The capacity factor of selected commercial wind turbines is calculated to investigate the best fitting wind turbine in the Cotonou coast. It turns out that Polaris 19-50 is the best fitting wind turbine in the selected turbines with a mean capacity factor of 0.49.

Investigation on offshore wind energy potential in Benin Republic

2019 ◽  
pp. 0309524X1987276 ◽  
Author(s):  
Maurel R Aza-Gnandji ◽  
François-Xavier Fifatin ◽  
Frédéric Dubas ◽  
Télesphore C Nounangnonhou ◽  
Christophe Espanet ◽  
...  
Keyword(s):  
Spatial Distribution ◽  
Wind Energy ◽  
Exclusive Economic Zone ◽  
Offshore Wind ◽  
Offshore Wind Energy ◽  
Energy Potential ◽  
Wind Potential ◽  
Wind Energy Potential ◽  
Economic Zone ◽  
Benin Republic

This article presents a study on offshore wind energy viability in Benin Republic. Weibull law has been used to model the spatial distribution of daily wind speed data in Benin Republic’s Exclusive Economic Zone. The spatial distribution of wind energy potential in Benin’s exclusive economic zone has been obtained at several heights by extrapolating Weibull parameters. Wind resource has then been categorized using National Renewable Energy Laboratory standards. Bathymetric data in the exclusive economic zone are used to determine areas showing good compromise between exploitable wind potential and turbine’s foundation. We have shown that Benin’s offshore resources can reach Class 7 at 100 m height, Class 6, respectively, at 100 and 80 m heights and finally Class 5 at 50 m height. We have also shown that locations close to the shore are the most suitable to offshore wind power generation in Benin’s exclusive economic zone.

scholarly journals Study of ocean and wind energy potential with R: an innovative experience in the classroom

2016 ◽  
Author(s):  
Alain Ulazia ◽  
Gabriel Ibarra-Berastegi
Keyword(s):  
Wind Energy ◽  
Temporal Analysis ◽  
Ocean Energy ◽  
Energy Potential ◽  
R Programming Language ◽  
Graphical Visualization ◽  
Software Skills ◽  
Wind Energy Potential ◽  
Spatio Temporal ◽  
R Programming

Abstract The Engineer School of Eibar initiated the Grade of Engineering in Renewable Energies four years ago. This pioneering educational project has shown many challenges to the teachers of the new grade. Among the different software skills used in this project, R programming language has been a very important one because of its capacity for spatio-temporal analysis and graphical visualization of wind energy and wave energy potential. A quarter of the subject's program in Wind Energy and Ocean Energy has been used via Problem Based Learning for the application of statistical calculus with R. The aim of this contribution is to show some paradigmatic problems solved by the students and the results obtained. Finally, the opinion of the students about the use of R and its learning potentiality have been gathered and analysed.

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

scholarly journals Exploring the Grid Value of Offshore Wind Energy in Oregon

Energies ◽  
2021 ◽  
Vol 14 (15) ◽  
pp. 4435
Author(s):  
Travis C. Douville ◽  
Dhruv Bhatnagar
Keyword(s):  
Wind Energy ◽  
Cost Model ◽  
Energy Resource ◽  
Energy Resources ◽  
Offshore Wind ◽  
Offshore Wind Energy ◽  
Renewable Energy Resources ◽  
Energy Potential ◽  
Resource Complementarity ◽  
Wind Energy Potential

The significant offshore wind energy potential of Oregon faces several challenges, including a power grid which was not developed for the purpose of transmitting energy from the ocean. The grid impacts of the energy resource are considered through the lenses of (i) resource complementarity with Variable Renewable Energy resources; (ii) correlations with load profiles from the four balancing authorities with territory in Oregon; and (iii) spatial value to regional and coastal grids as represented through a production cost model of the Western Interconnection. The capacity implications of the interactions between offshore wind and the historical east-to-west power flows of the region are discussed. The existing system is shown to accommodate more than two gigawatts of offshore wind interconnections with minimal curtailment. Through three gigawatts of interconnection, transmission flows indicate a reduction of coastal and statewide energy imports as well as minimal statewide energy exports.

Assessment of wind energy potential over India using high-resolution global reanalysis data

2021 ◽  
Vol 130 (2) ◽  
Author(s):  
China Satyanarayana Gubbala ◽  
Venkata Bhaskar Rao Dodla ◽  
Srinivas Desamsetti
Keyword(s):  
High Resolution ◽  
Wind Energy ◽  
Reanalysis Data ◽  
Energy Potential ◽  
Wind Energy Potential ◽  
Global Reanalysis
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