Wind Power Integration: An Experimental Investigation for Powering Local Communities

Mazhar Hussain Baloch, Dahaman Ishak, Sohaib Tahir Chaudary, Baqir Ali, Ali Asghar Memon and Touqeer Ahmed Jumani
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Mazhar Hussain Baloch: School of Electrical & Electronic Engineering, Universiti Sains Malaysia, 14300 Nibong Tebal, Malaysia
Dahaman Ishak: School of Electrical & Electronic Engineering, Universiti Sains Malaysia, 14300 Nibong Tebal, Malaysia
Sohaib Tahir Chaudary: School of Electronic Information & Electrical Engg, Shanghai Jiao Tong University, 200240 Shanghai, China
Baqir Ali: Department of Electrical Engineering, Mehran University of Engg & Technology, 76062 Sindh, Pakistan
Ali Asghar Memon: Department of Electrical Engineering, Mehran University of Engg & Technology, 76062 Sindh, Pakistan
Touqeer Ahmed Jumani: Department of Electrical Engineering, Mehran University of Engg & Technology, 76062 Sindh, Pakistan

Energies, 2019, vol. 12, issue 4, 1-24

Abstract: The incorporation of wind energy as a non-conventional energy source has received a lot of attention. The selection of wind turbine (WT) prototypes and their installation based on assessment and analysis is considered as a major problem. This paper focuses on addressing the aforementioned issues through a Weibull distribution technique based on five different methods. The accurate results are obtained by considering the real-time data of a particular site located in the coastal zone of Pakistan. Based on the computations, it is observed that the proposed site has most suitable wind characteristics, low turbulence intensity, wind shear exponent located in a safe region, adequate generation with the most adequate capacity factor and wind potential. The wind potential of the proposed site is explicitly evaluated with the support of wind rose diagrams at different heights. The energy generated by ten different prototypes will suggest the most optimum and implausible WT models. Correspondingly, the most capricious as well as optimal methods are also classified among the five Weibull parameters. Moreover, this study provides a meaningful course of action for the selection of a suitable site, WT prototype and parameters evaluation based on the real-time data for powering local communities.

Keywords: wind power integration; wind speed data; wind potential; Weibull distribution techniques; wind zone; local community (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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