Page 64 - AJWEP-22-6

Bahar, et al.

Africa. Renew Sustain Energy Rev. 2022;160:112282. goes with challenge. Renew Sustain Energy Rev.
doi: 10.1016/j.rser.2022.112282 2010;14:2232-2237.
17. Ghasemi A, Hosseini AS, Marashi SPH. Wind energy doi: 10.1016/j.rser.2009.11.003
resource assessment using Weibull parameters and GIS: 30. International Renewable Energy Agency. Off-Grid
A case study for the province of Yazd. Renew Sustain Renewable Energy Systems: Status and Methodological
Energy Rev. 2013;28:496-504. Issues. Abu Dhabi, UAE: IRENA; 2015.
doi: 10.1016/j.rser.2013.08.016 31. Arreyndip NA, Joseph E. Generalized extreme value
18. Ghaffari M, Alavi A, Dehghan S. Wind energy potential distribution models for the assessment of seasonal wind
assessment in arid regions using GIS-based Weibull energy potential of Debuncha, Cameroon. J Renew
analysis: A case study in central Iran. Renew Energy. Energy. 2016;2016:9357812.
2021;168:1241-1252. doi: 10.1155/2016/9357812
doi: 10.1016/j.renene.2021.01.115 32. Tuncar EA, Sağlam S, Oral B. A review of short-term
19. Gupta NK, Kumar S. Statistical modeling of wind speed wind power generation forecasting methods in recent
and wind power assessment using Weibull and Rayleigh technological trends. Energy Rep. 2024;12:197-209.
models in India. Energy Rep. 2020;6:2431-2441. doi: 10.1016/j.egyr.2024.06.006
doi: 10.1016/j.egyr.2020.08.099 33. Jeon J, Taylor JW. Using conditional kernel density
20. Kim TH, Lim HC. A comparative study of wind speed estimation for wind power density forecasting. J Am Stat
distributions using entropy and Weibull functions. Assoc. 2012;107(497):66-79.
Energies. 2020;13(4):1-18. doi: 10.1080/01621459.2011.643745
doi: 10.3390/en13040954 34. Jurado X, Reiminger N, Vazquez J, Wemmert C. On the
21. Nyarko KA, Whale J, Urmee T. Drivers and challenges minimal wind directions required to assess mean annual
of off-grid renewable energy-based projects in West air pollution concentration based on CFD results. Sustain
Africa: A review. Heliyon. 2023;9(5):e16710. Cities Soc. 2021;71:102920.
doi: 10.1016/j.heliyon.2023.e16710 doi: 10.1016/j.scs.2021.102920
22. Nasiri F, Yari M, Ameri M. Wind resource assessment 35. Mandal S, Kundu S, Mondal S. Statistical modeling
and feasibility study in southeastern Iran. Renew Energy. of wind speed data using empirical and theoretical
2021;164:869-882. distributions. Renew Energy, 2019;134:983-992.
doi: 10.1016/j.renene.2020.08.037 doi: 10.1016/j.renene.2018.11.056
23. Nasiri AA, Yılmaz A, Özdemir E. Assessment of wind 36. Jeutho MG, Kenmogne F, Yemélé D. How to use the
energy potential using Weibull parameters: A case study temperature data to find the appropriate site for best
from Turkey. Energy Sources A. 2023;45(6):1154-1170. wind speed generation? Applications on data obtained
doi: 10.1080/15567036.2020.1751015 from three different cities of Cameroon. Int J Sci Eng
24. Medjo Nouadje BA, Kelly E, Djiela RHT, Kapen PT, Sci. 2018;2(4):53-62.
Tchuen G, Tchinda R. Chad’s wind energy potential: 37. Grace EA, Rekha ASP, Thenaras M. Automated solar
An assessment of Weibull parameters using thirteen powered pumping systems for irrigation. Int J Pure Appl
numerical methods for a sustainable development. Int J Math. 2017;114(7):507-516.
Ambient Energy. 2023;45(1):2276119. 38. Mostafaeipour A, Jadidi M, Mohammadi K, Sedaghat A.
doi: 10.1080/01430750.2023.2276119 An analysis of wind energy potential and economic
25. Aslam M, Raza SAR, Khan TH. Wind energy evaluation in Zahedan, Iran. Renew Sustain Energy Rev.
assessment for remote areas in Pakistan. Energy 2014;30:641-650.
Rep. 2020;6:1547-1558. doi: 10.1016/j.rser.2013.11.016
doi: 10.1016/j.egyr.2020.02.017 39. Ali RA, Nediguina MK, Gouajio M, et al. Effects
26. Gökçek M, Bayülgen M. A feasibility study for wind of adding the antiparallel diodes in a model of solar
energy in Kirklareli, Turkey. Renew Sustain Energy Rev. photovoltaic cell: Theory and PSpice simulations. J Mod
2007;11(9):2183-2190. Green Energy. 2024;3:4.
doi: 10.1016/j.rser.2006.04.012 doi: 10.53964/jmge.2024004
27. Petkovic D, Ilic D, Milinkovic M. Comparison of wind 40. Jeutho MG, Kenmogne F, Yemélé D. Statistical
speed models for low wind resource sites. Energy. estimation of mean wind energy available in western
2020;210:118572. region of Cameroon: Case of the Bafoussam’s city.
doi: 10.1016/j.energy.2020.118572 J Harmoniz Res Eng. 2017;5(1):15-27.
28. Saidur R, Rahim NA, Islam MR, Solangi KH. A review 41. Manwell JF, McGowan JG, Rogers AL. Wind Energy
on global wind energy policy. Renew Sustain Energy Explained: Theory, Design and Application. 2 ed.
nd
Rev. 2010;14:1744-1762. Chichester, UK: Wiley; 2009.
doi: 10.1016/j.rser.2010.03.008 42. Ouedraogo NS. Modeling sustainable long-term
29. Yu X, Qu H. Wind power in China-opportunity electricity supply-demand in Africa. Appl Energy.

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