Wind Turbine Technology

Ph.D., A. R. Jha

doi:10.1201/9781439815076

Cited by 90 publications

(39 citation statements)

References 3 publications

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“…TSR is a parameter related with rated wind speed and rotor diameter. As the ratio between the speed of tip blade and wind speed through the blade, TSR can be determined as [12].…”

Section: Wind Turbine Theorymentioning

confidence: 99%

An Experimental Study on the Performance of Savonius Wind Turbines Related With The Number Of Blades

2015

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Wind energy is the most abundantly available clean form of renewable energy in the earth crust. Wind turbines produce electricity by using the power of wind to drive an electric generator. There are two kinds of wind turbines according to the axis of rotation to the ground, horizontal axis wind turbines (HAWT) and vertical axis wind turbines (VAWT). VAWTs include both a drag type configuration like Savonius wind turbine and a lift-type configuration like Darrieus wind turbine. Savonius wind rotor has many advantages over others in that its construction is simpler and cheaper. It is independent of the wind direction and has a good starting torque at lower wind speeds. The experimental study conducted in this paper aims to investigate the effect of number of blades on the performance of the model of Savonius type wind turbine. The experiments used to compare 2, 3, and 4 blades wind turbines to show tip speed ratio, torque and power coefficient related with wind speed. A simulation using ANSYS 13.0 software will show pressure distribution of wind turbine. The results of study showed that number of blades influence the performance of wind turbine. Savonius model with three blades has the best performance at high tip speed ratio. The highest tip speed ratio is 0.555 for wind speed of 7 m/s.

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“…TSR is a parameter related with rated wind speed and rotor diameter. As the ratio between the speed of tip blade and wind speed through the blade, TSR can be determined as [12].…”

Section: Wind Turbine Theorymentioning

confidence: 99%

An Experimental Study on the Performance of Savonius Wind Turbines Related With The Number Of Blades

2015

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“…This velocity is a result of the wind undistributed velocity and the rotational speed of the blade itself (Jha, 2010;Burton et al, 2011;Wood, 2011). In this assumption three-dimensional effects are ignored; Fig.…”

Section: Blade 2d Investigation Approachmentioning

confidence: 96%

“…Horizontal Axis Wind Turbines (HAWTs) have been demonstrated to be the transcendent machine tools in extracting the energy from the wind (Hau, 2006;Gipe, 2004); these machines possess a number of advantages when compared with Vertical Axis Wind Turbines (VAWTs), such as higher energy efficiency, more mechanical stability, less sensitiveness to off design conditions, etc. Thus, effective extraction of the wind stream energy with less energy waste, obtaining a comprehensive understanding of the energy conversion phenomena, and economic analysis of these systems have become an area of concern for technology leaders as well as an area of interest for researchers (Mehta et al, 2014;Arroyo et al, 2013;Castellani and Vignaroli, 2013;Castellani and Garinei, 2013;McKenna et al, 2014;Jung and Kwon, 2013;Jha, 2010;Burton et al, 2011;Wood, 2011). In this regard, optimization of geometrical properties of wind turbine blades has been investigated using various approaches.…”

Section: Introductionmentioning

confidence: 97%

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A Pareto optimal multi-objective optimization for a horizontal axis wind turbine blade airfoil sections utilizing exergy analysis and neural networks

Mortazavi

Soltani

Motieyan³

2015

Journal of Wind Engineering and Industrial Aerodynamics

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“…The final stage consists in the evaluation of the approach outcomes once the real conditions of the system can be checked. According to this evaluation, a filter will determine if new data are added to the database or are discarded …”

Section: Proposed Approachmentioning

confidence: 99%

Advanced analytics for detection and diagnosis of false alarms and faults: A real case study

Marugán

Márquez

2019

Wind Energy

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Onshore and offshore wind farms require a high level of advanced maintenance. Supervisory control and data acquisition (SCADA) and condition monitoring systems are now being employed, generating large amounts of data. They require robust and flexible approaches to convert dataset into useful information. This paper presents a novel approach based on the correlations of SCADA variables to detect and identify faults and false alarms in wind turbines. A correlation matrix between all the SCADA variables is used for pattern recognition. A new method based on curve fittings is employed for detecting false alarms and abnormal behaviours or faults in the components. The study is done in a real case study, validated with false alarms.

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Wind Turbine Technology

Cited by 90 publications

References 3 publications

An Experimental Study on the Performance of Savonius Wind Turbines Related With The Number Of Blades

An Experimental Study on the Performance of Savonius Wind Turbines Related With The Number Of Blades

A Pareto optimal multi-objective optimization for a horizontal axis wind turbine blade airfoil sections utilizing exergy analysis and neural networks

Advanced analytics for detection and diagnosis of false alarms and faults: A real case study

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