IDEAS home Printed from https://ideas.repec.org/r/eee/renene/v20y2000i2p145-153.html
   My bibliography  Save this item

A study of Weibull parameters using long-term wind observations

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Karsli, V.M & Geçit, C, 2003. "An investigation on wind power potential of Nurdaǧı-Gaziantep, Turkey," Renewable Energy, Elsevier, vol. 28(5), pages 823-830.
  2. Ayodele, T.R. & Ogunjuyigbe, A.S.O., 2016. "Wind energy potential of Vesleskarvet and the feasibility of meeting the South African׳s SANAE IV energy demand," Renewable and Sustainable Energy Reviews, Elsevier, vol. 56(C), pages 226-234.
  3. Morales, J.M. & Mínguez, R. & Conejo, A.J., 2010. "A methodology to generate statistically dependent wind speed scenarios," Applied Energy, Elsevier, vol. 87(3), pages 843-855, March.
  4. Ahmed Shata, A.S. & Hanitsch, R., 2006. "The potential of electricity generation on the east coast of Red Sea in Egypt," Renewable Energy, Elsevier, vol. 31(10), pages 1597-1615.
  5. Ammari, H.D. & Al-Maaitah, A., 2003. "Assessment of wind-generation potentiality in Jordan using the site effectiveness approach," Energy, Elsevier, vol. 28(15), pages 1579-1592.
  6. Fred Espen Benth & Jūratė Šaltytė Benth, 2012. "Modeling and Pricing in Financial Markets for Weather Derivatives," World Scientific Books, World Scientific Publishing Co. Pte. Ltd., number 8457.
  7. Keyhani, A. & Ghasemi-Varnamkhasti, M. & Khanali, M. & Abbaszadeh, R., 2010. "An assessment of wind energy potential as a power generation source in the capital of Iran, Tehran," Energy, Elsevier, vol. 35(1), pages 188-201.
  8. Alina Wilke & Zhiwei Shen & Matthias Ritter, 2021. "How Much Can Small-Scale Wind Energy Production Contribute to Energy Supply in Cities? A Case Study of Berlin," Energies, MDPI, vol. 14(17), pages 1-20, September.
  9. Quetzalcoatl Hernandez-Escobedo, 2016. "Wind Energy Assessment for Small Urban Communities in the Baja California Peninsula, Mexico," Energies, MDPI, vol. 9(10), pages 1-24, October.
  10. Shoaib, Muhammad & Siddiqui, Imran & Amir, Yousaf Muhammad & Rehman, Saif Ur, 2017. "Evaluation of wind power potential in Baburband (Pakistan) using Weibull distribution function," Renewable and Sustainable Energy Reviews, Elsevier, vol. 70(C), pages 1343-1351.
  11. Jing-Jin Tieo & Tieh-Yong Koh & Martin Skote & Narasimalu Srikanth, 2018. "Variance Characteristics of Tropical Radiosonde Winds Using a Vector-Tensor Method," Energies, MDPI, vol. 11(1), pages 1-22, January.
  12. Safari, Bonfils & Gasore, Jimmy, 2010. "A statistical investigation of wind characteristics and wind energy potential based on the Weibull and Rayleigh models in Rwanda," Renewable Energy, Elsevier, vol. 35(12), pages 2874-2880.
  13. Juan, Y.-H. & Wen, C.-Y. & Chen, W.-Y. & Yang, A.-S., 2021. "Numerical assessments of wind power potential and installation arrangements in realistic highly urbanized areas," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
  14. Alonzo, Bastien & Ringkjob, Hans-Kristian & Jourdier, Benedicte & Drobinski, Philippe & Plougonven, Riwal & Tankov, Peter, 2017. "Modelling the variability of the wind energy resource on monthly and seasonal timescales," Renewable Energy, Elsevier, vol. 113(C), pages 1434-1446.
  15. Emilio Gómez-Lázaro & María C. Bueso & Mathieu Kessler & Sergio Martín-Martínez & Jie Zhang & Bri-Mathias Hodge & Angel Molina-García, 2016. "Probability Density Function Characterization for Aggregated Large-Scale Wind Power Based on Weibull Mixtures," Energies, MDPI, vol. 9(2), pages 1-15, February.
  16. Mohamed Bousla & Ali Haddi & Youness El Mourabit & Ahmed Sadki & Abderrahman Mouradi & Abderrahman El Kharrim & Saleh Mobayen & Anton Zhilenkov & Badre Bossoufi, 2023. "Analysis and Comparison of Wind Potential by Estimating the Weibull Distribution Function: Application to Wind Farm in the Northern of Morocco," Sustainability, MDPI, vol. 15(20), pages 1-17, October.
  17. Sant’Anna de Sousa Gomes, Mateus & Faulstich de Paiva, Jane Maria & Aparecida da Silva Moris, Virgínia & Nunes, Andréa Oliveira, 2019. "Proposal of a methodology to use offshore wind energy on the southeast coast of Brazil," Energy, Elsevier, vol. 185(C), pages 327-336.
  18. Mukulo, B.M. & Ngaruiya, J.M. & Kamau, J.N., 2014. "Determination of wind energy potential in the Mwingi-Kitui plateau of Kenya," Renewable Energy, Elsevier, vol. 63(C), pages 18-22.
  19. Cancino-Solórzano, Yoreley & Xiberta-Bernat, Jorge, 2009. "Statistical analysis of wind power in the region of Veracruz (Mexico)," Renewable Energy, Elsevier, vol. 34(6), pages 1628-1634.
  20. Kabir, Asif & Lemongo-Tchamba, Ivan & Fernandez, Arturo, 2015. "An assessment of available ocean current hydrokinetic energy near the North Carolina shore," Renewable Energy, Elsevier, vol. 80(C), pages 301-307.
  21. Wais, Piotr, 2017. "A review of Weibull functions in wind sector," Renewable and Sustainable Energy Reviews, Elsevier, vol. 70(C), pages 1099-1107.
  22. Macleod, Alasdair, 2008. "Using the microclimate to optimise renewable energy installations," Renewable Energy, Elsevier, vol. 33(8), pages 1804-1813.
  23. Jūratė Šaltytė Benth & Laura Šaltytė, 2011. "Spatial--temporal model for wind speed in Lithuania," Journal of Applied Statistics, Taylor & Francis Journals, vol. 38(6), pages 1151-1168, April.
  24. McIntyre, Joseph H. & Lubitz, William D. & Stiver, Warren H., 2011. "Local wind-energy potential for the city of Guelph, Ontario (Canada)," Renewable Energy, Elsevier, vol. 36(5), pages 1437-1446.
  25. Ahmad, Jameel & Imran, Muhammad & Khalid, Abdullah & Iqbal, Waseem & Ashraf, Syed Rehan & Adnan, Muhammad & Ali, Syed Farooq & Khokhar, Khawar Siddique, 2018. "Techno economic analysis of a wind-photovoltaic-biomass hybrid renewable energy system for rural electrification: A case study of Kallar Kahar," Energy, Elsevier, vol. 148(C), pages 208-234.
  26. Li, Gong & Shi, Jing, 2010. "Application of Bayesian model averaging in modeling long-term wind speed distributions," Renewable Energy, Elsevier, vol. 35(6), pages 1192-1202.
  27. Farihan Mohamad & Jiashen Teh, 2018. "Impacts of Energy Storage System on Power System Reliability: A Systematic Review," Energies, MDPI, vol. 11(7), pages 1-23, July.
  28. Basir Khan, M. Reyasudin & Jidin, Razali & Pasupuleti, Jagadeesh & Shaaya, Sharifah Azwa, 2015. "Optimal combination of solar, wind, micro-hydro and diesel systems based on actual seasonal load profiles for a resort island in the South China Sea," Energy, Elsevier, vol. 82(C), pages 80-97.
  29. Chaouachi, Aymen & Covrig, Catalin Felix & Ardelean, Mircea, 2017. "Multi-criteria selection of offshore wind farms: Case study for the Baltic States," Energy Policy, Elsevier, vol. 103(C), pages 179-192.
  30. He, J.Y. & Li, Q.S. & Chan, P.W. & Zhao, X.D., 2023. "Assessment of future wind resources under climate change using a multi-model and multi-method ensemble approach," Applied Energy, Elsevier, vol. 329(C).
  31. Wang, Jianzhou & Qin, Shanshan & Jin, Shiqiang & Wu, Jie, 2015. "Estimation methods review and analysis of offshore extreme wind speeds and wind energy resources," Renewable and Sustainable Energy Reviews, Elsevier, vol. 42(C), pages 26-42.
  32. Mureddu, Mario & Meyer-Ortmanns, Hildegard, 2018. "Extreme prices in electricity balancing markets from an approach of statistical physics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 490(C), pages 1324-1334.
  33. Christopher Jung, 2016. "High Spatial Resolution Simulation of Annual Wind Energy Yield Using Near-Surface Wind Speed Time Series," Energies, MDPI, vol. 9(5), pages 1-20, May.
  34. Allen, D.J. & Tomlin, A.S. & Bale, C.S.E. & Skea, A. & Vosper, S. & Gallani, M.L., 2017. "A boundary layer scaling technique for estimating near-surface wind energy using numerical weather prediction and wind map data," Applied Energy, Elsevier, vol. 208(C), pages 1246-1257.
  35. Wais, Piotr, 2017. "Two and three-parameter Weibull distribution in available wind power analysis," Renewable Energy, Elsevier, vol. 103(C), pages 15-29.
  36. Mazhar H. Baloch & Safdar A. Abro & Ghulam Sarwar Kaloi & Nayyar H. Mirjat & Sohaib Tahir & M. Haroon Nadeem & Mehr Gul & Zubair A. Memon & Mahendar Kumar, 2017. "A Research on Electricity Generation from Wind Corridors of Pakistan (Two Provinces): A Technical Proposal for Remote Zones," Sustainability, MDPI, vol. 9(9), pages 1-31, September.
  37. Ahmed Shata, A.S. & Hanitsch, R., 2008. "Electricity generation and wind potential assessment at Hurghada, Egypt," Renewable Energy, Elsevier, vol. 33(1), pages 141-148.
  38. Campos, R.M. & Guedes Soares, C., 2018. "Spatial distribution of offshore wind statistics on the coast of Portugal using Regional Frequency Analysis," Renewable Energy, Elsevier, vol. 123(C), pages 806-816.
  39. Jianxing Yu & Yiqin Fu & Yang Yu & Shibo Wu & Yuanda Wu & Minjie You & Shuai Guo & Mu Li, 2019. "Assessment of Offshore Wind Characteristics and Wind Energy Potential in Bohai Bay, China," Energies, MDPI, vol. 12(15), pages 1-19, July.
  40. Eltamaly, Ali M., 2013. "Design and implementation of wind energy system in Saudi Arabia," Renewable Energy, Elsevier, vol. 60(C), pages 42-52.
  41. Sakka, Evelyn G. & Bilionis, Dimitrios V. & Vamvatsikos, Dimitrios & Gantes, Charis J., 2020. "Onshore wind farm siting prioritization based on investment profitability for Greece," Renewable Energy, Elsevier, vol. 146(C), pages 2827-2839.
  42. Škvorc, Petar & Kozmar, Hrvoje, 2021. "Wind energy harnessing on tall buildings in urban environments," Renewable and Sustainable Energy Reviews, Elsevier, vol. 152(C).
  43. Fadare, D.A., 2010. "The application of artificial neural networks to mapping of wind speed profile for energy application in Nigeria," Applied Energy, Elsevier, vol. 87(3), pages 934-942, March.
  44. Appino, Riccardo Remo & González Ordiano, Jorge Ángel & Mikut, Ralf & Faulwasser, Timm & Hagenmeyer, Veit, 2018. "On the use of probabilistic forecasts in scheduling of renewable energy sources coupled to storages," Applied Energy, Elsevier, vol. 210(C), pages 1207-1218.
  45. Vogiatzis, N. & Kotti, K. & Spanomitsios, S. & Stoukides, M., 2004. "Analysis of wind potential and characteristics in North Aegean, Greece," Renewable Energy, Elsevier, vol. 29(7), pages 1193-1208.
  46. Islam, M.R. & Saidur, R. & Rahim, N.A., 2011. "Assessment of wind energy potentiality at Kudat and Labuan, Malaysia using Weibull distribution function," Energy, Elsevier, vol. 36(2), pages 985-992.
  47. Lepore, Antonio & Palumbo, Biagio & Pievatolo, Antonio, 2020. "A Bayesian approach for site-specific wind rose prediction," Renewable Energy, Elsevier, vol. 150(C), pages 691-702.
  48. Chao Long & Mohamed Emad A. Farrag & Donald M. Hepburn & Chengke Zhou, 2014. "Point Estimate Method for Voltage Unbalance Evaluation in Residential Distribution Networks with High Penetration of Small Wind Turbines," Energies, MDPI, vol. 7(11), pages 1-15, November.
  49. Zhan, Choujun & Cao, Weiwen & Fan, Junyu & Tse, C.K., 2018. "Impulse Weibull distribution for daily precipitation and climate change in China during 1961–2011," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 512(C), pages 57-67.
  50. Santiago Pindado & Carlos Pindado & Javier Cubas, 2017. "Fréchet Distribution Applied to Salary Incomes in Spain from 1999 to 2014. An Engineering Approach to Changes in Salaries’ Distribution," Economies, MDPI, vol. 5(2), pages 1-19, May.
  51. El Alimi, Souheil & Maatallah, Taher & Dahmouni, Anouar Wajdi & Ben Nasrallah, Sassi, 2012. "Modeling and investigation of the wind resource in the gulf of Tunis, Tunisia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(8), pages 5466-5478.
  52. Estefania Artigao & Antonio Vigueras-Rodríguez & Andrés Honrubia-Escribano & Sergio Martín-Martínez & Emilio Gómez-Lázaro, 2021. "Wind Resource and Wind Power Generation Assessment for Education in Engineering," Sustainability, MDPI, vol. 13(5), pages 1-27, February.
  53. Diaf, S. & Notton, G., 2013. "Technical and economic analysis of large-scale wind energy conversion systems in Algeria," Renewable and Sustainable Energy Reviews, Elsevier, vol. 19(C), pages 37-51.
  54. Cellura, M. & Cirrincione, G. & Marvuglia, A. & Miraoui, A., 2008. "Wind speed spatial estimation for energy planning in Sicily: Introduction and statistical analysis," Renewable Energy, Elsevier, vol. 33(6), pages 1237-1250.
  55. Celik, A.N., 2003. "Assessing the suitability of wind speed probabilty distribution functions based on wind power density," Renewable Energy, Elsevier, vol. 28(10), pages 1563-1574.
  56. Safari, Bonfils, 2011. "Modeling wind speed and wind power distributions in Rwanda," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(2), pages 925-935, February.
  57. Katinas, Vladislovas & Marčiukaitis, Mantas & Gecevičius, Giedrius & Markevičius, Antanas, 2017. "Statistical analysis of wind characteristics based on Weibull methods for estimation of power generation in Lithuania," Renewable Energy, Elsevier, vol. 113(C), pages 190-201.
  58. Mario Mureddu & Hildegard Meyer-Ortmanns, 2016. "Extreme prices in electricity balancing markets from an approach of statistical physics," Papers 1612.05525, arXiv.org.
  59. Alain Bensoussan & Pierre Bertrand & Alexandre Brouste, 2014. "A generalized linear model approach to seasonal aspects of wind speed modeling," Journal of Applied Statistics, Taylor & Francis Journals, vol. 41(8), pages 1694-1707, August.
  60. Farihan Mohamad & Jiashen Teh & Ching-Ming Lai & Liang-Rui Chen, 2018. "Development of Energy Storage Systems for Power Network Reliability: A Review," Energies, MDPI, vol. 11(9), pages 1-19, August.
  61. Abul Kalam Azad & Mohammad Golam Rasul & Talal Yusaf, 2014. "Statistical Diagnosis of the Best Weibull Methods for Wind Power Assessment for Agricultural Applications," Energies, MDPI, vol. 7(5), pages 1-30, May.
  62. Soler-Bientz, Rolando, 2011. "Preliminary results from a network of stations for wind resource assessment at North of Yucatan Peninsula," Energy, Elsevier, vol. 36(1), pages 538-548.
  63. Jiang, Haiyan & Wang, Jianzhou & Wu, Jie & Geng, Wei, 2017. "Comparison of numerical methods and metaheuristic optimization algorithms for estimating parameters for wind energy potential assessment in low wind regions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 1199-1217.
  64. Kamau, J.N. & Kinyua, R. & Gathua, J.K., 2010. "6 years of wind data for Marsabit, Kenya average over 14m/s at 100m hub height; An analysis of the wind energy potential," Renewable Energy, Elsevier, vol. 35(6), pages 1298-1302.
  65. Shu, Z.R. & Li, Q.S. & Chan, P.W., 2015. "Investigation of offshore wind energy potential in Hong Kong based on Weibull distribution function," Applied Energy, Elsevier, vol. 156(C), pages 362-373.
  66. Ermolenko, Boris V. & Ermolenko, Georgy V. & Fetisova, Yulia A. & Proskuryakova, Liliana N., 2017. "Wind and solar PV technical potentials: Measurement methodology and assessments for Russia," Energy, Elsevier, vol. 137(C), pages 1001-1012.
  67. Ernstsen, Rune Ramsdal & Boomsma, Trine Krogh, 2018. "Valuation of power plants," European Journal of Operational Research, Elsevier, vol. 266(3), pages 1153-1174.
  68. Campisi-Pinto, Salvatore & Gianchandani, Kaushal & Ashkenazy, Yosef, 2020. "Statistical tests for the distribution of surface wind and current speeds across the globe," Renewable Energy, Elsevier, vol. 149(C), pages 861-876.
  69. Carta, J.A. & Ramírez, P. & Velázquez, S., 2009. "A review of wind speed probability distributions used in wind energy analysis: Case studies in the Canary Islands," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(5), pages 933-955, June.
  70. Olatayo, Kunle Ibukun & Wichers, J. Harry & Stoker, Piet W., 2018. "Energy and economic performance of small wind energy systems under different climatic conditions of South Africa," Renewable and Sustainable Energy Reviews, Elsevier, vol. 98(C), pages 376-392.
  71. He, J.Y. & Chan, P.W. & Li, Q.S. & Lee, C.W., 2022. "Characterizing coastal wind energy resources based on sodar and microwave radiometer observations," Renewable and Sustainable Energy Reviews, Elsevier, vol. 163(C).
  72. Maatallah, Taher & Ghodhbane, Nahed & Ben Nasrallah, Sassi, 2016. "Assessment viability for hybrid energy system (PV/wind/diesel) with storage in the northernmost city in Africa, Bizerte, Tunisia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 1639-1652.
  73. Ko, Kyungnam & Kim, Kyoungbo & Huh, Jongchul, 2010. "Variations of wind speed in time on Jeju Island, Korea," Energy, Elsevier, vol. 35(8), pages 3381-3387.
  74. Murthy, K.S.R. & Rahi, O.P., 2017. "A comprehensive review of wind resource assessment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 72(C), pages 1320-1342.
  75. Santos, E.C.O. & Guedes, E.F. & Zebende, G.F. & da Silva Filho, A.M., 2022. "Autocorrelation of wind speed: A sliding window approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 607(C).
  76. Ali, Sajid & Lee, Sang-Moon & Jang, Choon-Man, 2018. "Statistical analysis of wind characteristics using Weibull and Rayleigh distributions in Deokjeok-do Island – Incheon, South Korea," Renewable Energy, Elsevier, vol. 123(C), pages 652-663.
  77. Weisser, D, 2003. "A wind energy analysis of Grenada: an estimation using the ‘Weibull’ density function," Renewable Energy, Elsevier, vol. 28(11), pages 1803-1812.
  78. Peillón, Manuel & Sánchez, Raúl & Tarquis, Ana M. & García-Fernández, José L., 2013. "The use of wind pumps for greenhouse microirrigation: A case study for tomato in Cuba," Agricultural Water Management, Elsevier, vol. 120(C), pages 107-114.
  79. Dongbum Kang & Kyungnam Ko & Jongchul Huh, 2018. "Comparative Study of Different Methods for Estimating Weibull Parameters: A Case Study on Jeju Island, South Korea," Energies, MDPI, vol. 11(2), pages 1-19, February.
  80. Di Piazza, Annalisa & Di Piazza, Maria Carmela & Ragusa, Antonella & Vitale, Gianpaolo, 2011. "Environmental data processing by clustering methods for energy forecast and planning," Renewable Energy, Elsevier, vol. 36(3), pages 1063-1074.
  81. Nafidi, A. & Bahij, M. & Achchab, B. & Gutiérrez-Sanchez, R., 2019. "The stochastic Weibull diffusion process: Computational aspects and simulation," Applied Mathematics and Computation, Elsevier, vol. 348(C), pages 575-587.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.