Economic Analysis of Wind Turbine Installation in Taiwan

The global population is moving away from fossil fuel technologies due to their many disadvantages, such as air pollution, greenhouse gases emission, global warming, acid rain, health problems, and high costs. These disadvantages make fossil fuels unsustainable. As a result, renewable energy is becoming more attractive due to its steadily decreasing costs. Harnessing renewable energy promises to meet the present energy demands of the African continent. The enormous renewable energy potential available across the African continent remains largely untapped, especially for wind energy. However, marginal and fair wind speeds and power densities characterize African wind energy resulting in low and unsustainable power in many areas. This research develops a techno-economic model for wind energy cost analysis for a novel, Ferris wheel-based wind turbine. The model is used to techno-economically analyze the siting of wind turbine sites in low wind speed areas on the African continent. The wind turbine’s technical performance is characterized by calculating the annual energy production and the capacity factor using the wind Weibull probability distribution of the cities and theoretical power curve of the wind turbine. Its economic performance is evaluated using annualized financial return on investment, simple payback period, and levelized cost of electricity. The techno-economic model is validated for 21 African cities and shows that the Ferris wheel-based design is very competitive with four current, commercial wind turbines, as well as with other sources of energy. Hence, the new wind turbine may help provide the economical, clean, renewable energy that Africa needs.

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“…The Weibull parameters at measurement height are related to the parameters at the wind turbine hub height by Equation ( 3) [42,46,47]…”

Section: Mathematical Modellingmentioning

confidence: 99%

“…The annual energy production of a wind turbine in a particular location (AEP) is given by Equation (11) [47,48,51…”

Section: Mathematical Modellingmentioning

confidence: 99%

A Techno-Economic Model for Wind Energy Costs Analysis for Low Wind Speed Areas

2021

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“…The unit cost of wind power is calculated by investment in capital and operating costs. Before installation of a Wind Turbine Generator (WTG), it is crucial to find its cost based on references [28,29]. The Cost Of Energy (COE, $/kWh) calculation are given in Appendix B.…”

Section: Economic Analysismentioning

confidence: 99%

Novel exploration of hub heights on economics and Weibull distribution methods for wind power potential in Indian sites

Kumar,

Yadav

2024

Sci. Tech. Energ. Transition

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Wind energy is a clean and practical way to create electricity. It necessitates assessment of wind power potential (WPP) and its economic analysis at different height. In this context, this study examines WPP assessment for 62 different locations of 12 states in India from 10 m to 150 m height using six methods. The effectiveness of each method was performed through the computation of relative power density error (RPDE). The results suggested that the best method to estimate the WPP is NEPFM followed by EMM, EMJ and EML. It is found that Barkheri Bazar of Madhya Pradesh, Raipur, Chakal of Maharashtra, Vajrakarur of Andhra Pradesh, Kamagiri, M.S Puram, Servallar Hills of Tamil Nadu, Sangasar, Suvarda, of Gujarat are come under Wind Class 2, Mount Harriet, South Bay of Andaman and Nicobar, Nagda of Madhya Pradesh, Jagmin of Maharashtra, Kanyakumari of Tamil Nadu, Mahidad of Gujarat come under Wind Class 3, Kalunirkulam of Tamil Nadu under Wind Class 4, Brahmanwel of Maharashtra fall in Wind Class 5. A technical assessment is also made using six different wind turbine Models, through the computation of their respective capacity factors, annual power and energy outputs. Furthermore, the economic feasibility of these wind turbine gave cost of energy (COE) variation from 0.28 to 15.31 $/kWh at 10 m hub height of wind turbine and at 150 m hub height of wind turbine COE varies from 0.10 to 3.53 $/kWh. This study is useful for industry

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Analysis of wind power generation potential and wind turbine installation economics: A correlation-based approach

Yadav,

Kumar

et al. 2025

Results in Engineering

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Economic Analysis of Wind Turbine Installation in Taiwan

Cited by 4 publications

References 13 publications

A Techno-Economic Model for Wind Energy Costs Analysis for Low Wind Speed Areas

A Techno-Economic Model for Wind Energy Costs Analysis for Low Wind Speed Areas

Novel exploration of hub heights on economics and Weibull distribution methods for wind power potential in Indian sites

Analysis of wind power generation potential and wind turbine installation economics: A correlation-based approach

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