Power Curve Evaluation of Micro-Scale Turbines for Harvesting Wind Energy in Malaysia

With wind energy gaining significant importance in recent years, many countries aspire to harvest this clean and cheap energy. In Malaysia, this goal is affected by slow wind speeds, which usually hinder the installation of wind turbines across the country. In this paper, we conduct a simulation stu...

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Main Authors: Abbas D.U., Tiong S.K., Alkahtani A.A., Chen C.P., Alkawsi G., Ekanayake J.
Other Authors: 57218304981
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Published: Natural Sciences Publishing 2023
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spelling my.uniten.dspace-265942023-05-29T17:12:27Z Power Curve Evaluation of Micro-Scale Turbines for Harvesting Wind Energy in Malaysia Abbas D.U. Tiong S.K. Alkahtani A.A. Chen C.P. Alkawsi G. Ekanayake J. 57218304981 15128307800 55646765500 25824552100 57191982354 7003409510 With wind energy gaining significant importance in recent years, many countries aspire to harvest this clean and cheap energy. In Malaysia, this goal is affected by slow wind speeds, which usually hinder the installation of wind turbines across the country. In this paper, we conduct a simulation study of the factors that affect wind power generation for several turbines. We use the power curves of five wind turbines (WTs) and compare their production with real wind speed data gathered from Sepang and Mersing regions of Malaysia as a case study. The data were recorded at a 15 m height from the ground level by the Malaysian Meteorological Department (MMD) throughout the year 2015. We fix the rated power of the turbines at 400 W, change the lengths of the turbine blades, and calculate the amount of energy produced in the two regions with reference to the turbines cut-in speeds of 4.0, 3.5, 3.0, 2.5, and 2.0 ms1, which correspond to turbine blade length (BL) of 0.62, 0.71, 0.82, 0.96, and 1.14 m, respectively. The results indicate that the amount of energy produced depends on the rated power, length of the turbine blade, rated and cut-in speeds of the turbine, and the characteristics of the wind speed in the area. We found that for one turbine, the highest annual energy rates that could be harvested were 357.5 and 373.15 kWh/year at a cut-in speed of 2 ms1, with total annual revenue generation (ARG) values of RM 201.0 and RM 193.50 during 6.95- and 7.25-year payback periods (PBP), respectively, in Mersing and Sepang. This study is the first of its kind to calculate the amount of energy produced using small-capacity wind turbines at different cut-in speeds and with different BLs. This study establishes the guidelines for a new era of small WTs in Malaysia and other countries with similar wind speeds. � 2021. NSP Natural Sciences Publishing Cor. All Rights Reserved. Final 2023-05-29T09:12:27Z 2023-05-29T09:12:27Z 2021 Article 10.18576/AMIS/150108 2-s2.0-85100047884 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85100047884&doi=10.18576%2fAMIS%2f150108&partnerID=40&md5=619e68baa1809edbc19babd243243f7c https://irepository.uniten.edu.my/handle/123456789/26594 15 1 59 71 Natural Sciences Publishing Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
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continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
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description With wind energy gaining significant importance in recent years, many countries aspire to harvest this clean and cheap energy. In Malaysia, this goal is affected by slow wind speeds, which usually hinder the installation of wind turbines across the country. In this paper, we conduct a simulation study of the factors that affect wind power generation for several turbines. We use the power curves of five wind turbines (WTs) and compare their production with real wind speed data gathered from Sepang and Mersing regions of Malaysia as a case study. The data were recorded at a 15 m height from the ground level by the Malaysian Meteorological Department (MMD) throughout the year 2015. We fix the rated power of the turbines at 400 W, change the lengths of the turbine blades, and calculate the amount of energy produced in the two regions with reference to the turbines cut-in speeds of 4.0, 3.5, 3.0, 2.5, and 2.0 ms1, which correspond to turbine blade length (BL) of 0.62, 0.71, 0.82, 0.96, and 1.14 m, respectively. The results indicate that the amount of energy produced depends on the rated power, length of the turbine blade, rated and cut-in speeds of the turbine, and the characteristics of the wind speed in the area. We found that for one turbine, the highest annual energy rates that could be harvested were 357.5 and 373.15 kWh/year at a cut-in speed of 2 ms1, with total annual revenue generation (ARG) values of RM 201.0 and RM 193.50 during 6.95- and 7.25-year payback periods (PBP), respectively, in Mersing and Sepang. This study is the first of its kind to calculate the amount of energy produced using small-capacity wind turbines at different cut-in speeds and with different BLs. This study establishes the guidelines for a new era of small WTs in Malaysia and other countries with similar wind speeds. � 2021. NSP Natural Sciences Publishing Cor. All Rights Reserved.
author2 57218304981
author_facet 57218304981
Abbas D.U.
Tiong S.K.
Alkahtani A.A.
Chen C.P.
Alkawsi G.
Ekanayake J.
format Article
author Abbas D.U.
Tiong S.K.
Alkahtani A.A.
Chen C.P.
Alkawsi G.
Ekanayake J.
spellingShingle Abbas D.U.
Tiong S.K.
Alkahtani A.A.
Chen C.P.
Alkawsi G.
Ekanayake J.
Power Curve Evaluation of Micro-Scale Turbines for Harvesting Wind Energy in Malaysia
author_sort Abbas D.U.
title Power Curve Evaluation of Micro-Scale Turbines for Harvesting Wind Energy in Malaysia
title_short Power Curve Evaluation of Micro-Scale Turbines for Harvesting Wind Energy in Malaysia
title_full Power Curve Evaluation of Micro-Scale Turbines for Harvesting Wind Energy in Malaysia
title_fullStr Power Curve Evaluation of Micro-Scale Turbines for Harvesting Wind Energy in Malaysia
title_full_unstemmed Power Curve Evaluation of Micro-Scale Turbines for Harvesting Wind Energy in Malaysia
title_sort power curve evaluation of micro-scale turbines for harvesting wind energy in malaysia
publisher Natural Sciences Publishing
publishDate 2023
_version_ 1806427728864346112
score 13.222552