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Analysis of wind energy characteristics and wind turbine selection for residential use: a case study

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posted on 2025-07-28, 14:10 authored by Ahmed Al-Rubaye, Hakim T Kadhim, Rassol Hamed Rasheed, Aldo RonaAldo Rona
<p dir="ltr">This research presents the analysis of wind energy potential using the Weibull distribution based on high-resolution hourly meteorological data in Al-Qadisiya, Iraq. This analysis provides novel insight into the investment prospects for wind energy in the subtropical desertic region of Iraq, which was previously unassessed. Four 5 kW horizontal wind turbine models for domestic use are assessed to select the most suitable type, at various hub heights. These models are from mainstream manufacturers Galaxy, Zonhan, InkPV, and SkyPower. The wind speed, energy production, and capacity factor for the turbines at 10 m and 30 m hub heights were compared. A large monthly variation is observed in the calculated shape and scale coefficients about their respective annual average of 2.75 and 5.05. The results showed that wind energy could avoid between 10,944.22 kg and 14,997 kg of CO<sub>2</sub> equivalent emissions annually at the hub heights of 10 m and 30 m respectively, compared to Diesel electricity generation. The Galaxy wind turbine is shown to have the highest energy production and capacity factor at both investigated hub heights. For installations constrained by height or budget, the Zonhan turbine provides a good compromise between performance and CO<sub>2</sub> emission reduction potential. These results are significant for the energy sector policy development in the subtropical desert climate, as they inform the incentivization of domestic wind power sources. The methodology has good extensibility potential to other arid and barren lands worldwide.</p>

Funding

EPSRC GR/N23745/01

History

Author affiliation

College of Science & Engineering Engineering

Version

  • VoR (Version of Record)

Published in

International Journal of Thermofluids

Volume

28

Pagination

101305

Publisher

Elsevier BV

issn

2666-2027

Copyright date

2025

Available date

2025-07-28

Language

en

Deposited by

Dr Aldo Rona

Deposit date

2025-06-17

Data Access Statement

Data will be made available on request.

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