Low Speed Wind Turbine Design

Gitano-Briggs, Horizon

doi:10.5772/53141

Cited by 13 publications

(10 citation statements)

References 8 publications

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“…The cut-out speed for most of the turbines is 25 m/s [58]. Recently, slow-wind-speed wind turbines have also been designed [59][60][61], and their efficiency in low wind speeds (~3 m/s) is better than those designed for moderate or strong winds. Effective operation of wind turbines and the forecast of wind power outputs can be achieved using ARIMA-GARCH(-M) approachbased models, which can predict both the mean and volatility of wind speed [62].…”

Section: Methodsmentioning

confidence: 99%

Long-Term Assessment of Onshore and Offshore Wind Energy Potentials of Qatar

et al. 2021

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Exploitation of conventional energy resources has caused a deliberate increase in the emitted carbon in the atmosphere, which catalyzes global warming trends. This is a matter of concern, especially in Qatar, where fossil fuels (oil and gas) are largely relied upon for power production. The dependency on such resources could be gradually reduced by utilizing clean and renewable energy. Resource characterization is an important step to evaluate the potentiality of available renewable energy sources. Wind energy is one among them, which has not been assessed reliably so far in Qatar. We analyzed the wind energy potential along the onshore and offshore areas of Qatar using 40 years (1979–2018) of hourly wind data extracted from the ECMWF Reanalysis v5 (ERA5) database. Monthly, seasonal, annual, and decadal mean wind power densities have been derived. Reliability tests have been carried out at select onshore and offshore locations. Trends and inter-annual variability have been assessed. The study reveals that the available wind resources are generally moderate but consistent with no intense trends during the 40 year period. An inter-annual variability in wind power has been identified, which has secured links with the El Niño–Southern Oscillation (ENSO).

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Section: Methodsmentioning

confidence: 99%

Long-Term Assessment of Onshore and Offshore Wind Energy Potentials of Qatar

et al. 2021

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“…However, regions of South East Asia onshore sites have low wind speed potential, in which conventional wind power turbines can't produce sufficient power [5]. Hence, design improvement and adaptation are being implemented with the motive of obtaining a more efficient and reliable wind power device for low wind speed regions.…”

Section: Related Workmentioning

confidence: 99%

Alternative Method of Nature Inspired Geometrical Design Strategy for Drag Induced Wind Turbine Blade Morphology

Sanderasagran

Aziz

Oumer

et al. 2022

Int. J. Automot. Mech. Eng.

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Although drag driven wind turbine is regarded as an efficient rotor for low wind speed region, design reconfiguration is a continuous process in order to improve the performance of the rotor. The main governing factor that influences the performance of the rotor is the blade morphology. Hence, this paper presents a proposed nature inspired design approach for the development of drag driven wind turbine blade morphology. The design approach framework comprise of 3 main elements namely image processing, geometrical analysis and bio-hybridization. The proposed bio-hybridized design consist of blade mainframe curve inspired by nautilus shell and barnacle on the blade surface. It is found that integration of barnacle geometries on the surface of the blade has affected the performance of the rotor. Result shows that the peak Cm is at λ = 0.55 for experimental and CFD is Cm = 0.238 and Cm = 0.253 respectively. The proposed design resulted in experimental and numerical Cp = 0.113 and Cp = 0.127 respectively at 7 m/s and λ = 0.7. The presented design technique with appropriate design bio-element provides a systematic method for engineers to model wind turbine blade morphologies.

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“…A typical WT power curve is given in Figure 2 depicting the three types of wind speeds usually exhibited by wind turbines operating on wind farms [12,15]. Based on the wind turbine power curve, three transition states are assumed for the wind turbines for large-scale wind farm power production.…”

Section: Model Formulationmentioning

confidence: 99%

Stochastic Modelling and Stability Analysis of Large-Scale Wind Power Generation System with Dynamic Loads

Attachie¹,

Amuzuvi²,

Diamenu³

2021

EJEE

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As a result of dwindling fossil fuel reserves and the negative impact of greenhouse gases (GHGs) on the environment, it is important that the search for a power grid that will comprise of only variable renewable energy (VRE) generation sources such as wind or solar energy which is available everywhere for free is given much attention. The main challenge associated with these sources of energy is their variability and random nature. It is as a result of instability introduced by the VRE generation sources, that is why there is a strict control measures put in place by the regulators as to how much VRE generation sources can feed into the power grid in the case of its integration into an existing power grid. It becomes imperative to consider implications for grid stability and reliability when considering a power grid that will consist of VRE generation only. Eigenvalue approach was used to analysed the performance of anticipated large-scale VRE grid to ascertain its behaviour. Eigenvalue approach is one of the methods to examine the stability of a power system’s dynamic performance. The results indicated that it is possible to attain the necessary stability provided the assumptions made during the modelling stage is revised to improve upon the model.

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Low Speed Wind Turbine Design

Cited by 13 publications

References 8 publications

Long-Term Assessment of Onshore and Offshore Wind Energy Potentials of Qatar

Long-Term Assessment of Onshore and Offshore Wind Energy Potentials of Qatar

Alternative Method of Nature Inspired Geometrical Design Strategy for Drag Induced Wind Turbine Blade Morphology

Stochastic Modelling and Stability Analysis of Large-Scale Wind Power Generation System with Dynamic Loads

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