Extrapolation of wind data using generalized versus site-specific wind power law for wind power production prospective at Shahbandar- a coastal site in Pakistan
Author(s) -
Muhammad Sumair,
Tauseef Aized,
Syed Asad Raza Gardezi
Publication year - 2020
Publication title -
energy exploration and exploitation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.435
H-Index - 30
eISSN - 2048-4054
pISSN - 0144-5987
DOI - 10.1177/0144598720952507
Subject(s) - weibull distribution , wind power , extrapolation , wind profile power law , power law , environmental science , meteorology , wind speed , log wind profile , wind shear , law , statistics , wind gradient , mathematics , engineering , geography , electrical engineering , political science
The aim of this work is to compare the wind data extrapolated by 1/7 th wind power law and site-specific wind power law for wind power potential estimation at Shahbandar. Both the Wind shear exponents (WSE) and local air density values were calculated using measured wind data at 10 and 30 m heights and they were found minimum in summer and maximum in winter. Weibull distribution was applied with a newly developed method to estimate the Weibull parameters whose accuracy was tested using coefficient of determination which was more than 95%. Technical analysis of energy generation was conducted which showed that GE1 and GE2 turbines have highest yield and capacity factors respectively while B3 and V5 has corresponding minimum values. Comparison showed that 1/7 th wind power estimates lower values of wind potential than site-specific wind power law. Moreover, comparison of predicted data with measured data shows that site-specific wind power law estimates data more accurately.
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