Assessing different parameters estimation methods of Weibull distribution to compute wind power density

Energy Conversion and Management

Volumn 108, Issue , 2016, Pages 322-335

  Mohammadi, Kasra ^a   Alavi, Omid ^b   Mostafaeipour, Ali ^c   Goudarzi, Navid ^d   Jalilvand, Mahdi ^e  

^a University of Massachusetts   (United States)

^b K N TOOSI UNIVERSITY OF TECHNOLOGY   (Iran)

^c YAZD UNIVERSITY   (Iran)

^d UNIVERSITY OF MARYLAND   (United States)

^e UNIVERSITY OF SIEGEN   (Germany)

Author keywords

Comparative evaluation; Parameters estimation methods; Statistical analysis; Weibull distribution; Wind power density; Wind speed

Indexed keywords

DISTRIBUTION FUNCTIONS; MAXIMUM LIKELIHOOD; MAXIMUM LIKELIHOOD ESTIMATION; PARAMETER ESTIMATION; STATISTICAL METHODS; WEIBULL DISTRIBUTION; WIND; WIND EFFECTS; WIND POWER;

COMPARATIVE EVALUATIONS; ENERGY PATTERN FACTOR; MAXIMUM LIKELIHOOD METHODS; MODIFIED MAXIMUM LIKELIHOODS; PARAMETERS ESTIMATION; WIND CHARACTERISTICS; WIND POWER DENSITY; WIND SPEED;

NUMERICAL METHODS;

EID: 84947969727     PISSN: 01968904     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.enconman.2015.11.015     Document Type: Article

References (70)

1. M. Gabbasa, K. Sopian, Z. Yaakob, M.R. Faraji Zonooz, A. Fudholi, and N. Asim Review of the energy supply status for sustainable development in the Organization of Islamic Conference Renew Sustain Energy Rev 28 2013 18 28
2. M.R. Islam, S. Mekhilef, and R. Saidur Progress and recent trends of wind energy technology Renew Sustain Energy Rev 21 2013 456 468
3. A. Mostafaeipour Historical background, productivity and technical issues of qanats Water History 2 1 2010 61 80
4. A.U. Haque, P. Mandal, M.E. Kaye, J. Meng, L. Chang, and T. Senjyu A new strategy for predicting short-term wind speed using soft computing models Renew Sustain Energy Rev 16 2012 4563 4573
5. Z.R. Shu, Q.S. Li, and P.W. Chan Statistical analysis of wind characteristics and wind energy potential in Hong Kong Energy Convers Manage 101 2015 644 657
6. Y. Dinpashoh, R. Mirabbasi, D. Jhajharia, H.Z. Abianeh, and A. Mostafaeipour Effect of short-term and long-term persistence on identification of temporal trends J Hydrol Eng 19 3 2013 617 625
7. GWEC. Global Wind Energy Council. Global wind statistics 2014. < http://www.gwec.net > [accessed 15.05.15].
8. N. Masseran Evaluating wind power density models and their statistical properties Energy 84 2015 533 541
9. N.J. Cook Discussion on 'modern estimation of the parameters of the Weibull wind speed distribution for wind energy analysis' by J.V. Seguro, T.W. Lambert Wind Eng Ind Aerodyn 89 10 2001 867 869
10. A.N. Celik Weibull representative compressed wind speed data for energy and performance calculations of wind energy systems Energy Convers Manage 44 2003 3057 3072
11. D. Weisser A wind energy analysis of Grenada: an estimation using the 'Weibull' density function Renew Energy 28 2003 1803 1812
12. P. Ramirez, and J.A. Carta Influence of the data sampling interval in the estimation of the parameters of the Waybill wind speed probability density distribution: a case study Energy Convers Manage 4 6 2005 2419 2438
13. E.K. Akpinar, and S. Akpinar An assessment on seasonal analysis of wind energy characteristics and wind turbine characteristics Energy Convers Manage 46 2005 1848 1867
14. J. Wen, Y. Zheng, and F. Donghan A review on reliability assessment for wind power Renew Sustain Energy Rev 13 2009 2485 2494
15. A. Ucar, and F. Balo Evaluation of wind energy potential and electricity generation at six locations in Turkey Appl Energy 86 2009 1864 1872
16. A. Ucar, and F. Balo Investigation of wind characteristics and assessment of wind generation potentiality in Uludag-Bursa, Turkey Appl Energy 86 2009 333 339
17. G. Bekele, and B. Palm Wind energy potential assessment at four typical locations in Ethiopia Appl Energy 86 2009 388 396
18. S.D. Kwon Uncertainty analysis of wind energy potential assessment Appl Energy 87 2010 856 865
19. I. Fyrippis, P.J. Axaopoulos, and G. Panayiotou Wind energy potential assessment in Naxos Island, Greece Appl Energy 87 2010 577 586
20. M.H. Albadi, and E.F. El-Saadany New method for estimating CF of pitch-regulated wind turbines Electr Power Syst Res 80 2010 1182 1188
21. D. Saeidia, M. Mirhosseini, A. Sedaghat, and A. Mostafaeipour Feasibility study of wind energy potential in two provinces of Iran: North and South Khorasan Renew Sustain Energy Rev 15 2011 3558 3569
22. M.R. Islam, R. Saidur, and N.A. Rahim Assessment of wind energy potentiality at Kudat and Labuan, Malaysia using Weibull distribution function Energy 36 2011 985 992
23. L.d.A. Lima, and C.R.B. Filho Wind resource evaluation in Sao Joao do Cariri (SJC) -Paraiba, Brazil Renew Sustain Energy Rev 16 2012 474 480
24. S. Diaf, and G. Notton Evaluation of electricity generation and energy cost of wind energy conversion systems in southern Algeria Renew Sustain Energy Rev 23 2013 379 390
25. T.P. Chang, F.J. Liu, H.H. Ko, S.P. Cheng, L.C. Sun, and S.C. Kuo Comparative analysis on power curve models of wind turbine generator in estimating capacity factor Energy 73 2014 88 95
26. M. Carrasco-Díaz, D. Rivas, M. Orozco-Contreras, and O.S. Anchez-Montante An assessment of wind power potential along the coast of Tamaulipas, northeastern Mexico Renew Energy 78 2015 295 305
27. T. Arslan, Y.M. Bulut, and A. Yavuz Comparative study of numerical methods for determining Weibull parameters for wind energy potential Renew Sustain Energy Rev 40 2014 820 825
28. C.M. Lai, and T.H. Lin Technical assessment of the use of a small-scale wind power system to meet the demand for electricity in a land aquafarm in Taiwan Renew Energy 31 2006 877 892
29. W. Zhou, H.X. Yang, and Z.H. Fang Wind power potential and characteristic analysis of the Pearl River Delta region, China Renew Energy 31 2006 739 753
30. E.K. Akpinar, and S. Akpinar Determination of the wind energy potential for Maden- Elazig, Turkey Energy Convers Manage 45 2004 2901 2914
31. A.N. Celik A statistical analysis of wind power density based on the Weibull and Rayleigh models at the southern region of Turkey Renew Energy 29 2003 593 604
32. T.J. Chang, Y.T. Wu, H.Y. Hsu, C.R. Chu, and C.M. Liao Assessment of wind characteristics and wind turbine characteristics in Taiwan Renew Energy 28 2003 851 871
33. J.V. Seguro, and T.W. Lambert Modern estimation of the parameters of the Weibull wind speed distribution for wind energy analysis J Wind Eng Ind Aerod 85 2000 75 84
34. P.A. Costa Rocha, R.C. de Sousa, C.F. de Andrade, and M.E.V. da Silva Comparison of seven numerical methods for determining Weibull parameters for wind energy generation in the northeast region of Brazil Appl Energy 89 2012 395 400
35. S.A. Akdag, and A. Dinler A new method to estimate Weibull parameters for wind energy applications Energy Convers Manage 50 2009 1761 1766
36. F.A.L. Jowder Wind power analysis and site matching of wind turbine generators in Kingdom of Bahrain Appl Energy 86 2009 538 545
37. K. Mohammadi, and A. Mostafaeipour Using different methods for comprehensive study of wind turbine utilization in Zarrineh, Iran Energy Convers Manage 65 2013 463 470
38. F. George A comparison of shape and scale estimators of the two-parameter Weibull distribution J Modern Appl Statist Methods 13 2014 23 35
39. S.A. Ahmed Comparative study of four methods for estimating Weibull parameters for Halabja, Iraq Int J Phys Sci 8 5 2013 186 192
40. T.P. Chang Performance comparison of six numerical methods in estimating Weibull parameters for wind energy application Appl Energy 88 2011 272 282
41. D.K. Kidmo, R. Danwe, S.Y. Doka, and N. Djongyang Statistical analysis of wind speed distribution based on six Weibull Methods for wind power evaluation in Garoua, Cameroon Revue des Energies Renouvelables 18 1 2015 105 125
42. A. Mostafaeipour, M. Jadidi, K. Mohammadi, and A. Sedaghat An analysis of wind energy potential and economic evaluation in Zahedan, Iran Renew Sustain Energy Rev 30 2014 641 650
43. A. Mostafaeipour, A. Sedaghat, M. Ghalishooyan, Y. Dinpashoh, M. Mirhosseini, M. Sefid, and et al. Evaluation of wind energy potential as a power generation source for electricity production in Binalood, Iran Renew Energy 52 2013 222 229
44. K. Mohammadi, and A. Mostafaeipour Economic feasibility of developing wind turbines in Aligoodarz, Iran Energy Convers Manage 76 2013 645 653
45. K. Mohammadi, A. Mostafaeipour, and M. Sabzpooshani Assessment of solar and wind energy potentials for three free economic and industrial zones of Iran Energy 67 2014 117 128
46. S. Shamshirband, K. Mohammadi, C.W. Tong, D. Petković, E. Porcu, A. Mostafaeipour, and et al. Application of extreme learning machine for estimation of wind speed distribution Clim Dyn 2015 1 15
47. Mohammadi K, Mostafaeipour A, Dinpashoh Y, Pouya N. Electricity generation and energy cost estimation of large-scale wind turbines in Jarandagh, Iran. Journal of Energy. Volume 2014 (2014), Article ID 613681, 8 pages. ISSN 2356-735X.
48. D. Saeidi, M. Mirhosseini, A. Sedaghat, and A. Mostafaeipour Feasibility study of wind energy potential in two provinces of Iran: North and South Khorasan Renew Sustain Energy Rev 15 8 2011 3558 3569
49. A. Mostafaeipour Economic evaluation of small wind turbine utilization in Kerman Iran Energy Convers Manage 73 2013 214 225
50. V. Nikolić, S. Shamshirband, D. Petković, K. Mohammadi, and Z. Ćojbašić Wind wake influence estimation on energy production of wind farm by adaptive neuro-fuzzy methodology Energy 80 2015 361 372
51. Mostafaeipour A, Abesi A. Wind turbine productivity and development in Iran. In: Biosciences (BIOSCIENCESWORLD), 2010 international conference on, p. 112-118.
52. A. Mostafaeipour, B. Bardel, K. Mohammadi, A. Sedaghat, and Y. Dinpashoh Economic evaluation for cooling and ventilation of medicine storage warehouses utilizing wind catchers Renew Sustain Energy Rev 38 2014 12 19
53. A. Razavieh, A. Sedaghat, R. Ayodele, and A. Mostafaeipour Worldwide wind energy status and the characteristics of wind energy in Iran, case study: the province of Sistan and Baluchestan Int J Sustain Energy 2014 1 21
54. J.P. Hennessey Jr. Some aspects of wind power statistics J Appl Meteorol 16 2 1977 119 128
55. J.F. Manwell, J.G. McGowan, and A.L. Rogers Wind energy explained: theory, design and application 2002 John Wiley & Sons Amherst, USA
56. S. Mathew Wind energy: fundamentals, resource analysis and economics 2006 Springer-Verlag Berlin, Heidelberg
57. A. Tizpar, M. Satkin, M.B. Roshan, and Y. Armoudli Wind resource assessment and wind power potential of Mil-E Nader region in Sistan and Baluchestan Province, Iran-Part 1: Annual energy estimation Energy Convers Manage 79 2014 273 280
58. S.M. Boudia, and O. Guerri Investigation of wind power potential at Oran, northwest of Algeria Energy Convers Manage 105 2015 81 92
59. http://canwea.ca/wind-energy/installed-capacity/ [accessed 10.06.15].
60. http://climate.weather.gc.ca [accessed 10.06.15].
61. Levent Bilir, Mehmet Imir, Y.Ilser Devrim, and Ayhan Albostan An investigation on wind energy potential and small scale wind turbine performance at Incek region-Ankara, Turkey Energy Convers Manage 103 2015 910 923
62. C.G. Justus, R. Hargraves, A. Mikhail, and D. Graber Methods for estimating wind speed frequency distributions J Appl Meteorol 17 1977 350 353
63. Muyiwa S. Adaramola, B. Martin Agelin-Chaab, and Samuel S. Paul Assessment of wind power generation along the coast of Ghana Energy Convers Manage 77 2014 61 69
64. E.H. Lysen Introduction to wind energy 1983 SWD Publication SWD 82-1 The Netherlands
65. T.J. Chang, C.L. Chen, Y.L. Tu, H.T. Yeh, and Y.T. Wu Evaluation of the climate change impact on wind resources in Taiwan Strait Energy Convers Manage 95 2015 435 445
66. S.F. Khahro, K. Tabbassum, A.M. Soomro, L. Dong, and X. Liao Evaluation of wind power production prospective and Weibull parameter estimation methods for Babaurband, Sindh Pakistan Energy Convers Manage 78 2014 956 967
67. M. Sabzpooshani, and K. Mohammadi Establishing new empirical models for predicting monthly mean horizontal diffuse solar radiation in city of Isfahan, Iran Energy 69 2014 571 577
68. M.F. Li, X.P. Tang, W. Wu, and H.B. Liu General models for estimating daily global solar radiation for different solar radiation zones in mainland China Energy Convers Manage 70 2013 139 148
69. P.D. Jamieson, J.R. Porter, and D.R. Wilson A test of the computer simulation model ARCWHEAT1 on wheat crops grown in New Zealand Field Crops Res 27 1991 337 350
70. D.R. Legates, and G.J. Mc Cabe Jr. Evaluating the use of "goodness-of-fit" measures in hydrologic and hydro climatic model validation Water Resour Res 35 1999 233 241