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Research Papers: Energy Systems Analysis

Modeling of Energy and Exergy Efficiencies of a Wind Turbine Based on the Blade Element Momentum Theory Under Different Roughness Intensities

[+] Author and Article Information
Ali Khanjari

Department of Mechanical Engineering,
Shahrood University of Technology,
Shahrood 361 999 5161, Iran
e-mail: ali_khanjari69@yahoo.com

Ali Sarreshtehdari

Department of Mechanical Engineering,
Shahrood University of Technology,
Shahrood 361 999 5161, Iran
e-mail: sarreshtehdari@gmail.com

Esmail Mahmoodi

Department of Mechanical Engineering
of Biosystems,
Shahrood University of Technology,
Shahrood 361 999 5161, Iran
e-mail: esmahmoodi@shahroodut.ac.ir

1Corresponding author.

Contributed by the Advanced Energy Systems Division of ASME for publication in the JOURNAL OF ENERGY RESOURCES TECHNOLOGY. Manuscript received September 1, 2015; final manuscript received July 20, 2016; published online September 19, 2016. Editor: Hameed Metghalchi.

J. Energy Resour. Technol 139(2), 022005 (Sep 19, 2016) (8 pages) Paper No: JERT-15-1330; doi: 10.1115/1.4034640 History: Received September 01, 2015; Revised July 20, 2016

In this study, the analysis of energy and exergy of a horizontal axis wind turbine based on blade element momentum (BEM) theory is presented. The computations are validated against wind tunnel data measured in the MEXICO wind turbine experiment. Blade roughness as one of the important environmental parameters is considered in the computations. Results show that the blade element momentum (BEM) theory has good ability to predict the energy and exergy efficiencies. The computation of energy and exergy exhibits that with the increasing the roughness from 0 mm to 0.5 mm, 2324 W of the output power is reduced. Roughness of 0.5 mm at the wind speed of 16 m/s reduced exergy and energy efficiencies 5.75% and 5.83%, respectively. It is also found that the roughness in the first four months of the operation has a more negative effect on the wind turbine performance.

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Figures

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Fig. 1

Geometry of three airfoils that use in the MEXICO wind turbine blade

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Fig. 2

Normalized local chord and pitch angel in the blade

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Fig. 3

Sample mesh discretization for (a) RISOA1-21, (b) NACA 64-418, and (c) DU 91-W2-250 airfoils

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Fig. 4

Arrangement of how to analysis a blade element

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Fig. 5

Schematic representation of the turbine (inlet and outlet states)

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Fig. 6

Airfoil performance with variable angel of attack: (a) NACA 64-418, (b) RISOA1-21, and (c) DU 91-W2-250

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Fig. 7

Exergy destruction for wind turbine based on experimental data at various wind velocities

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Fig. 8

Power production of the wind turbine based on all scenarios at various wind speeds

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Fig. 9

Comparison of wind turbine performance based on experimental data and the BEM code at various wind velocities: (a) energy efficiency and (b) exergy efficiency

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Fig. 10

Effect of roughness on wind turbine performance at various wind velocities: (a) energy efficiency and (b) exergy efficiency

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Fig. 11

The ratio of power coefficient (CP) to exergy efficiency computed from computational models and experimental data at various wind speeds

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Fig. 12

Variation of power coefficient (CP) for all computational models versus power coefficient of the measurements (CPex), compared to the experimental reference (the black line)

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Fig. 13

Variation of power coefficient (CP) for the corrected computational models employing roughness versus power coefficient of the measurements (CPex), compared to the experimental reference (the black line)

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