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HomeAdvanced Engineering ForumAdvanced Engineering Forum Vol. 28Complementarity between Solar and Wind Energy...

Complementarity between Solar and Wind Energy Potentials in Benin Republic

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Abstract:

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.

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Advanced Engineering Forum Vol. 28

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Periodical:

Advanced Engineering Forum (Volume 28)

Pages:

128-138

DOI:

https://doi.org/10.4028/www.scientific.net/AEF.28.128

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Online since:

June 2018

Authors:

Maurel Aza-Gnandji*, François Xavier Fifatin, Amèdédjihundé Hypolite Jordâo Hounnou, Frédéric Dubas, Didier Chamagne, Christophe Espanet, Vianou Antoine

Keywords:

Complementarity, Pearson Coefficient, Solar, Wind Energy

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© 2018 Trans Tech Publications Ltd. All Rights Reserved

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[1] https://www.eia.gov/outlooks/ieo/pdf/0484(2016).pdf.

[2] http://www.ren21.net/wp-content/uploads/2016/06/GSR_2016_Full_Report.pdf.

[3] Y. Liu, L. Xiao, H. Wang, S. Dai, and Z. Qi, Analysis on the hourly spatiotemporal complementarities between China's solar and wind energy resources spreading in a wide area,, Sci. China Technol. Sci., vol. 56, no. 3, p.683–692, Mar. (2013).

DOI: 10.1007/s11431-012-5105-1

[4] A. R. Silva, F. M. Pimenta, A. T. Assireu, and M. H. C. Spyrides, Complementarity of Brazil׳s hydro and offshore wind power,, Renew. Sustain. Energy Rev., vol. 56, p.413–427, Apr. (2016).

DOI: 10.1016/j.rser.2015.11.045

[5] C. E. Hoicka and I. H. Rowlands, Solar and wind resource complementarity: Advancing options for renewable electricity integration in Ontario, Canada,, Renew. Energy, vol. 36, no. 1, p.97–107, Jan. (2011).

DOI: 10.1016/j.renene.2010.06.004

[6] C. N. Awanou, J. M. Degbey, and E. Ahlonsou, Estimation of the mean wind energy available in Benin (Ex Dahomey),, Renew. Energy, vol. 1, no. 5–6, p.845–853, (1991).

DOI: 10.1016/0960-1481(91)90037-p

[7] A. B. Akpo, J. C. T. Damada, H. E. V. Donnou, B. Kounouhewa, and C. N. Awanou, Evaluation de la production énergétique d'un aérogénérateur sur un site isolé dans la région côtière du Bénin,, Rev. Energ. Renouvelables, vol. 18, no. 3, p.457–468, (2015).

[8] A. M. Houekpoheha, B. B. Kounouhewa, N. B. Tokpohozin, and C. N. Awanou, Estimation de la puissance énergétique éolienne à partir de la distribution de Weibull sur la côte béninoise à Cotonou dans le Golfe de Guinée,, Rev. Energ. Renouvelables, vol. 17, no. 3, p.489–495, (2014).

DOI: 10.1515/9783112315378-011

[9] Wyoming Weather Web., [Online]. Available: http://weather.uwyo.edu/upperair/. [Accessed: 14-Mar-2017].

[10] U. Pfeifroth et al., Surface Radiation Data Set - Heliosat (SARAH) - Edition 2., Satellite Application Facility on Climate Monitoring (CM SAF), (2017).

[11] Y. Liu, L. Xiao, H. Wang, L. Lin, and S. Dai, Investigation on the spatiotemporal complementarity of wind energy resources in China,, Sci. China Technol. Sci., vol. 55, no. 3, p.725–734, (2012).

DOI: 10.1007/s11431-011-4678-4

[12] M. P. Cantão, M. R. Bessa, R. Bettega, D. H. M. Detzel, and J. M. Lima, Evaluation of hydro-wind complementarity in the Brazilian territory by means of correlation maps,, Renew. Energy, vol. 101, p.1215–1225, Feb. (2017).

DOI: 10.1016/j.renene.2016.10.012

[13] R. Eberhart and J. Kennedy, A new optimizer using particle swarm theory," in , Proceedings of the Sixth International Symposium on Micro Machine and Human Science, 1995. MHS ,95, 1995, p.39–43.

DOI: 10.1109/mhs.1995.494215

[14] M. Clerc and J. Kennedy, The particle swarm - explosion, stability, and convergence in a multidimensional complex space,, IEEE Trans. Evol. Comput., vol. 6, no. 1, p.58–73, Feb. (2002).

DOI: 10.1109/4235.985692

[15] Mahamad Nabab Alam, Particle Swarm Optimization: Algorithm and its Codes in MATLAB,, (2016).