Techno-Economic Assessment of Wind Turbines in Nigeria

Okakwu, Ignatius K.; Olabode, Olakunle; Alayande, Akintunde Samson; Somefun, Tobilola Emmanuel; Ajewole, Titus O.

doi:10.32479/ijeep.10030

Cited by 10 publications

(10 citation statements)

References 21 publications

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“…The daily mean wind speed, 𝑉 and the standard deviation, 𝜎 of the wind resource data can be calculated by Eqs. ( 12) and ( 13), respectively [12]:…”

Section: Wind Speed Analysismentioning

confidence: 99%

See 1 more Smart Citation

Comparative Assessment of Numerical Techniques for Weibull Parameters’ Estimation and the Performance of Wind Energy Conversion Systems in Nigeria

Okakwu

Akinyele

Olabode

et al. 2023

IIUMEJ

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The wind speed of a location is a critical parameter for analyzing wind energy conversion systems. Background knowledge has revealed that the two-parameter Weibull distribution is commonly used for fitting wind speed data because of its simplicity, flexibility and suitability. This research study examines wind speed data from five locations in Nigeria (Kano, Maiduguri, Jos, Abuja and Akure). It employs five numerical techniques, namely the maximum likelihood method, method of moment, power density method, empirical method and the logarithmic moment method, to estimate the Weibull parameters based on the locations’ data. The goodness of fit test is used to determine which numerical method best fits the distribution. The paper also considers the techno-economic design of wind electricity of five 25 kW pitch-controlled wind turbines with dissimilar characteristics. The test result presents the method of moment and empirical method as the best methods for calculating the Weibull parameters. Results also show that wind turbine-3 has the least cost of energy and wind turbine-5 has the highest cost of energy. ABSTRAK: Kelajuan angin sesuatu lokasi adalah parameter kritikal bagi menganalisa sistem penukaran tenaga angin. Latar belakang berkaitan telah mendedahkan 2-parameter taburan Weibull (Wbl) lazimnya digunakan bagi memadan data kelajuan angin berdasarkan kesederhanaan, fleksibiliti dan kesesuaian. Kajian penyelidikan ini adalah berkaitan ujian data kelajuan angin pada lima lokasi di Nigeria (Kano, Maiduguri, Jos, Abuja dan Akure). Ia menggunakan lima teknik berangka iaitu kaedah kemungkinan maksimum, kaedah momen, kaedah ketumpatan kuasa, kaedah empirikal dan kaedah momen logaritma bagi menganggar parameter Weibull berdasarkan lokasi data. Ujian kesesuaian digunakan bagi memastikan kaedah berangka adalah padanan paling sesuai bagi taburan. Kajian ini juga turut menimbang reka bentuk tekno-ekonomi elektrik angin bagi lima turbin angin 25 kW kawalan anggul dengan ciri berbeza. Dapatan kajian menunjukkan momen dan kaedah empirikal adalah kaedah terbaik bagi mengira parameter Weibull. Ini menunjukkan bahawa turbin angin-3 mempunyai kos tenaga paling rendah dan turbin angin-5 mempunyai kos tenaga tertinggi.

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“…The daily mean wind speed, 𝑉 and the standard deviation, 𝜎 of the wind resource data can be calculated by Eqs. ( 12) and ( 13), respectively [12]:…”

Section: Wind Speed Analysismentioning

confidence: 99%

“…Okakwu et al, [12] discussed the TE evaluation of wind resources for power generation in Nigeria. The study used a 2-parameter WDF for analyzing the wind potential of four different locations based on the average wind speeds/day measured at the anemometer positioned at 10 m over a period of 11 years.…”

Section: Introductionmentioning

confidence: 99%

Comparative Assessment of Numerical Techniques for Weibull Parameters’ Estimation and the Performance of Wind Energy Conversion Systems in Nigeria

Okakwu

Akinyele

Olabode

et al. 2023

IIUMEJ

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“…An experimental and simulation study has been published that investigated the capability of integrating multiple renewable energies such as wave, solar, and wind [119][120][121][122][123][124]. The authors presented a new simulation and analysis approach for integrating an intermittent energy system based on dynamic modelling and control strategy.…”

Section: Emerging Simulation Strategiesmentioning

confidence: 99%

Simulation and Analysis Approaches to Microgrid Systems Design: Emerging Trends and Sustainability Framework Application

et al. 2021

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Energy systems modelling and design are a critical aspect of planning and development among researchers, electricity planners, infrastructure developers, utilities, decision-makers, and other relevant stakeholders. However, to achieve a sustainable energy supply, the energy planning approach needs to integrate some key dimensions. Importantly, these dimensions are necessary to guide the simulation and evaluation. It is against this backdrop that this paper focuses on the simulation and analysis approaches for sustainable planning, design, and development of microgrids based on clean energy resources. The paper first provides a comprehensive review of the existing simulation tools and approaches used for designing energy generation technologies. It then discusses and compares the traditional strategies and the emerging trends in energy systems simulation based on the software employed, the type of problem to be solved, input parameters provided, and the expected output. The paper introduces a practical simulation framework for sustainable energy planning, which is based on the social-technical-economic-environmental-policy (STEEP) model. The STEEP represents a holistic sustainability model that considers the key energy systems planning dimensions compared to the traditional techno-economic model used in several existing simulation tools and analyses. The paper provides insights into data-driven analysis and energy modelling software development applications.

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“…To date, in several countries of the world, several works have been carried out on the potential as well as its characteristics. The authors conducted a technical and economic study of wind turbines in Nigeria [ 9 ]. In addition to this, they ranked the sites based on their wind energy densities, estimated capacity factor value, and present value cost.…”

Section: Introductionmentioning

confidence: 99%