Techno-economic analysis of wind turbines powering rural of Malaysia

The purpose of this study is to evaluate the wind energy potential and energy cost of various types of wind turbines that could be powering rural Areas. The analysis was performed on hourly wind data over three years for five locations measured with a 10 m-high anemometer in Peninsular Malaysia. The...

Full description

Saved in:
Bibliographic Details
Main Authors: Al-Fatlawi, Ali Wadi, Al-Baghdadi, Maher A. R. Sadiq, Togun, Hussein, Ahmadi, Goodarz, Rahman, Saidur, Abd Rahim, Nasrudin
Format: Article
Published: Diponegoro university Indonesia - Center of Biomass and Renewable Energy (CBIORE) 2022
Subjects:
Online Access:http://eprints.um.edu.my/43370/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85128773098&doi=10.14710%2fijred.2022.43477&partnerID=40&md5=32afb0ffa1500643b1268948293f269f
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:The purpose of this study is to evaluate the wind energy potential and energy cost of various types of wind turbines that could be powering rural Areas. The analysis was performed on hourly wind data over three years for five locations measured with a 10 m-high anemometer in Peninsular Malaysia. The performance of wind turbines with varying hub heights and rated power was examined. The economic evaluation of wind energy in all sites was based on an analysis of the annual Levelized cost of energy. Results show that the annual mean wind speeds vary from 1.16 m/s in Sitiswan to 2.9 m/s in Mersing, whereas annual power varies from 3.6 to 51.4 W/m2. Moreover, the results show that the cost of unit energy varies between (4.5-0.38) /kWh. The most viable site for the use of wind turbines was Mersing, while Sitiawan was the least viable site. A case study examined three wind turbine models operating at Mersing. The study showed that increasing the inflation escalation rate for operating and maintenance from 0-5 led to a decrease in the unit energy cost by about 38. However, increasing the operating and maintenance escalation rate from 0-10 led to an increase in the unit cost of energy by about 7-8. © 2022. The Authors.