Statistical Analysis of Wind Speed for the Probability Evaluation of Cancelled Departure for Catamarans and Ferries
Keywords:
knowledge, information quality, applied statistics, probability estimation, wind, weibull distributionAbstract
Weather data bases are important in optimizing a range of economic activities, such as maritime traffic. In this paper, a statistical analysis of data has been carried out, which includes the interpretation of the results with an emphasis on the analysis of consequences for local population. The proposed procedure is supported by realistic data for wind speed and direction measured at meteorological station Split in the period from 2002 to 2011. Using available data, the annual as well as seasonal wind roses for the specified location are shown. Furthermore, wind speed data are approximated by the Weibull's probability distribution that enables estimating the probability of exceeding a particular wind speed, i.e. Beaufort number for this location. Thus, the probability of cancelled departure for catamarans, as well as ferries from the Split city port is determined for the annual level as well as for each season. The obtained results provide a more detailed insight into the important occurrence of cancelled departure of catamarans and ferries, significant for the lives of the islanders gravitating to Split.
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References
Carrillo, C., Cidrás, J., Díaz-Dorado, E., Obando-Montaño, A.F. (2014), „An approach to determine the Weibull parameters for wind energy analysis: the case of Galicia (Spain)“, Energies, Vol. 7 No.4, pp. 2676-2700.
Christopher, J., Schindler, D., Laible, J., Buchholz, A. (2017), „Introducing a system of wind speed distributions for modeling properties of wind speed regimes around the world“, Energy Conversion and Management, Vol. 144, pp. 181-192.
ECA (2015), „Maritimna studija za ugradnju pontona za prihvat hidroaviona na dijelu Obale kneza Domagoja u gradskoj luci Split“, European Coastal Airlines, Split.
Masseran, N., Razali, A.M., Ibrahim, K., Zaharim, A., Spian, K. (2013), „The probability distribution model of wind speed over East Malaysia“, Res J Appl Sci, Eng Technol, Vol.6 No. 10, pp.1774–1779.
Meaden, G. Terence, Kochev, S., Kolendowicz, L., Kosa-Kiss, A., Marcinoniene, I., Sioutas, M., Tooming, H., Tyrrell, J. (2007), „Comparing the theoretical versions of the Beaufort scale, the T-Scale and the Fujita scale“, Atmospheric research, Vol. 83 No. 2, pp. 446-449.
Morgan, E. C., Lackner, M., Vogel, R. M., Baise, L.G. (2011), „Probability distribution for offshore wind speeds“, Energy Convers Manage, Vol. 52, pp.15–26.
NIST/SEMATECH, (2013), „e-Handbook of Statistical Methods“, available at: http://www.itl.nist.gov/div898/handbook/ (27 May 2017)
Omid, A., Kasra, M., Ali, M. (2016), „Evaluating the suitability of wind speed probability distribution models: a case of study of east and southeast parts of Iran“, Energy Convers Manage, Vol. 119, pp. 101–8.
Pishgar-Komleh, S.H. and Akram, A. (2014), „Evaluation of wind energy potential for different turbine models based on the wind speed data of Zabol region, Iran“, Sustainable Energy Technologies and Assessments, Vol. 22, pp. 34-40.
Pishgar-Komleh, S.H., Keyhani, A., Sefeedpari, P. (2015), „Wind speed and power density analysis based on Weibull and Rayleigh distributions (a case study: Firouzkooh county of Iran)“, Renew Sust Energy Rev, Vol. 42, pp. 313–22.
Pomorska enciklopedija (1989), „Beaufort, Francis“, Vol 1, 2nd edition, Pomorska enciklopedija, Leksikografski zavod Miroslav Krleža, Zagreb, pp. 324-325.
Sarkar, A., Singh, S., Mitra, D. (2011), „Wind climate modeling using Weibull and extreme value distribution“, Int J Eng Sci Technol, Vol. 3, pp.100–106.
Seguro, J. V., Lambert, T. W. (2000), „Modern estimation of the parameters of the Weibull wind speed distribution for wind energy analysis“, Journal of Wind Engineering and Industrial Aerodynamics, Vol. 85 No. 1, pp. 75-84.
U.S. Congress, Office of Technology Assessment (1993), „The Future of Remote Sensing From Space: Civilian Satellite Systems and Applications“, OTA-ISC-558, DC: U.S. Government Printing Office, Washington, pp. 33-44.
