z-logo
open-access-imgOpen Access
Weibull parameters estimation using combined energy pattern and power density method for wind resource assessment
Author(s) -
Muhammad Sumair,
Tauseef Aized,
Syed Asad Raza Gardezi,
Muhammad Mahmood Aslam Bhutta,
Syed Ubaid ur Rehman,
Syed Muhammad Sohail Rehman
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 - 10.1177/0144598720947483
Subject(s) - weibull distribution , wind power , range (aeronautics) , wind speed , environmental science , work (physics) , statistics , meteorology , estimation , mathematics , engineering , geography , electrical engineering , systems engineering , aerospace engineering , mechanical engineering
This work deals with the development of Combined Energy Pattern & Power Density Method (CEPPDM) to evaluate the two parameters needed to define Weibull distribution. Five years (2015–2019) wind data recorded each 60-minutes interval at eleven representative sites in Pakistan was used and efficiency of CEPPDM was compared with Energy Pattern Factor Method (EPFM) and Power Density Method (PDM) with the help of MAPE, MSE and R 2 . Analysis showed that CEPPDM is the most efficient method while EPFM is the least efficient. Furthermore, it was found that RYK is the most lucrative site and Layyah is the weakest site regarding wind potential. Wind rose plots were drawn which showed that the wind mainly blows in the range of 200°–270°.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom