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Acknowledgements
The authors would like to acknowledge with gratitude the support of Universiti Malaysia Sarawak (UNIMAS) under Postdoctoral Fellowship PD/16/016. Similar thanks go to Kano University of Science and Technology, (KUST) Wudil under UNIMAS-KUST partnership. Conflict of interest The authors have declared that no conflict of interest with regards to the publi- cation of this chapter. 19 A Review of Hybrid Renewable Energy Systems Based on Wind and Solar Energy: Modeling… DOI: http://dx.doi.org/10.5772/intechopen.85838 Author details Salisu Muhammad Lawan 1 * and Wan Azlan Wan Zainal Abidin 2 1 Kano University of Science and Technology, Wudil Kano State, Nigeria 2 Universiti Malaysia Sarawak, Sarawak, Malaysia *Address all correspondence to: mlsalisu@unimas.my © 2020 The Author(s). Licensee IntechOpen. This chapter is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/ by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. 20 Wind Solar Hybrid Renewable Energy System [1] Lawan SM, Azlan W, Abidin WZ, Lawan M. Wind energy assessment and mapping using terrain nonlinear autoregressive neural network (TNARX) and wind station data. Cogent Engineering. 2018;5:1452594 [2] Safari B. Modeling wind speed and wind power distributions in Rwanda. Renewable and Sustainable Energy Reviews. 2011;15(2):925-935 [3] Güney MS, Kaygusuz K. Hydrokinetic energy conversion systems: A technology status review. Renewable and Sustainable Energy Reviews. 2010;14(9):2996-3004 [4] Boubekri N, Shaikh V. Machining using minimum quantity lubrication: A technology for sustainability. International Journal of Applied Science and Technology. 2012;2(1):111-115 [5] Ferdous RM, Reza AW, Siddiqui MF. Renewable energy harvesting for wireless sensors using passive RFID tag technology: A review. Renewable and Sustainable Energy Reviews. 2016;58:1114-1128 [6] Hong YY, Lian RC. Optimal sizing of hybrid wind/PV/diesel generation in a stand-alone power system using markov-based genetic algorithm. IEEE Transactions on Power Delivery. 2012;27(2):640-647 [7] Kaabeche A, Belhamel M, Ibtiouen R. Sizing optimization of grid- independent hybrid photovoltaic/ wind power generation system. Energy. 2011;36(2):1214-1222 [8] Ma T, Yang H, Lu L. A feasibility study of a stand-alone hybrid solar- wind-battery system for a remote island. Applied Energy. 2014;121:149-158 [9] Lu L, Yang H, Burnett J. Investigation on wind power potential on Hong Kong islands—An analysis of wind power and wind turbine characteristics. Renewable Energy. 2002;27(1):1-12 [10] Diaf S, Notton G, Belhamel M, Haddadi M, Louche A. Design and techno-economical optimization for hybrid PV/wind system under various meteorological conditions. Applied Energy. 2008;85(10):968-987 [11] Rao NS. Design & simulation of hybrid solar—Wind electric power system interface to grid system. 2013;1(4):1-10 [12] Mohammadi M, Hosseinian SH, Gharehpetian GB. Optimization of hybrid solar energy sources/wind turbine systems integrated to utility grids as microgrid (MG) under pool/bilateral/hybrid electricity market using PSO. Solar Energy. 2012;86(1):112-125 [13] Daut I, Irwanto M, Irwan YM, Gomesh N, Ahmad NS. Potential of solar radiation and wind speed for photovoltaic and wind power hybrid generation in Perlis, Northern Malaysia. 2011. pp. 6-7 [14] Ashourian MH, Cherati SM, Mohd Zin AA, Niknam N, Mokhtar AS, Anwari M. Optimal green energy management for island resorts in Malaysia. Renewable Energy. 2013;51:36-45 [15] Mat S, Othman MY, Zaharim A, Sopian K. Recent advances in energy & environment: proceedings of the 7th WSEAS International Conference on energy & environment (EE’09). Cambridge, UK: WSEAS; 24-26 February 2009. pp. 246-250 [16] Giraud F, Salameh ZM. Steady- state performance of a grid-connected rooftop hybrid wind-photovoltaic power system with battery storage. IEEE Transactions on Energy Conversion. Mar 2001;16(1):1-7 Download 0.8 Mb. Do'stlaringiz bilan baham: |
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