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The Economy of Large Scale Wind Turbines

 

By N. Mandas, C.E. Carcangiu, and F. Cambuli, Department of Mechanical Engineering, Università degli Studi di Cagliari, Cagliari, Italy

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Computational domain and boundary conditions

The environmental impact of burning fossil fuels and their inevitable depletion have led to a growing interest in renewable energy sources. These sources of energy can no longer be overlooked, because of the need to achieve sustainable development and compliance with the provisions of the recently enforced Kyoto protocol. Wind energy, for example, is a low density source of power, available almost everywhere but not necessarily all the time, and its efficient exploitation requires continued in-depth studies. To make wind power economically feasible, it is important to maximize the efficiency of converting wind energy into mechanical energy. Of all the different aspects involved in this process, rotor aerodynamics is a key determinant for achieving this goal. In addition, the ability to predict the downstream wake from a wind turbine is significant factor for determining the interactions between turbines. A model for describing this perturbed flow can provide a useful tool for optimizing the placement of wind turbines and the aerodynamic and structural design of the rotors.

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Rotor surface mesh

Mechanical power and power coefficient determined using the BEM
method and CFD, for different wind velocities, V0, and tip speed ratios, ë

Research work conducted in this area has resulted in a substantial improvement in the overall efficiency of the conversion process, to the extent that the capital costs of installing wind power can now compete effectively with other renewable energy sources. Three approaches can be pursued to analyze the flow around and downstream of a wind turbine: field testing, which provides accurate results but is highly complex and expensive; analytical and semi-empirical models, which adopt simplifying assumptions and are thus not universally reliable; and CFD, which offers the best alternative to direct measurements.

At the University of Cagliari, FLUENT has been used to analyze an aerodynamic problem that would be difficult to tackle experimentally [1]. The study concerned a 41 m diameter wind rotor; the disturbed flow field, including the wake, extends over hundreds of meters in the axial direction with a very large cross section. Understandably, field measurements over such a vast swept area (moderate in size, compared to other wind turbines in existence) would be extremely time-consuming and costly. The stall controlled rotor with fixed blades, rotating at a constant speed of 27rpm, was simulated using CFD and a simplified analytical model. Design operating conditions with a range of wind speeds were investigated.

The computational domain used is in the shape of a diffuser, extending in the axial direction roughly 5 diameters upstream and 10 diameters downstream of the rotor. In the plane of the rotor, the domain diameter is five times that of the rotor. The multiple reference frames (MRF) model was used to simulate the incompressible, steady-state flow field. A uniform wind speed profile was assumed at the entrance of the domain. The one-equation Spalart- Allmaras model with standard wall functions was chosen for turbulence closure. Due to rotational periodicity, only one of the rotor blades was simulated, and periodic boundary conditions were used at the rotational boundaries. The wind turbine tower and ground were not included in the model. GAMBIT was used to build a multi-block hexahedral mesh of approximately 1.5 million cells. The preprocessing phase accounted for about 80% of thetotal project time as a result of the range of geometric scales represented: the length of the domain (600 m), size of the rotor (41 m), typical chord lengths (0.5-3 m), and boundary layer (10 mm).

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Contours of total pressure illustrate the wake
Iso-surface of vorticity generated by the turbine
Iso-surface of vorticity generated by the turbine

The classical blade element momentum (BEM) method was adopted for the design of the turbine rotor [2], using the specifications for the three-bladed horizontal axis Nordtank 41/500 turbine [3] and NACA 63-4xx profiles [4]. The active part of the blade was extended to the hub, in keeping with the style used in modern wind turbine designs. The BEM results were compared with those obtained using FLUENT.

To compare the models, the overall performance of the turbine was computed. This included an assessment of the mechanical power generated on the shaft axis as a function of inlet velocity, and the corresponding power coefficient as a function of tip speed ratio. The CFD results were found to be in good agreement with those obtained using the BEM method. Contours of total pressure predicted by FLUENT were used to show the wake development downstream of the turbine. Axial velocity contours were used to identify the transition from the near wake to the far wake region. In the far wake, diffusion phenomena cause the overall wake cross section to expand while the de-energized core in the central region reduces. Near the blade tip, the pressure difference between the pressure and suction sides of the blade were shown to lead to the formation of tip vortices.

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Axial velocity, showing the reduction of the
de-energized core in the far wake regionPathlines showing the tip vortex
Pathlines showing the tip vortex

While the CFD results confirmed the validity of the BEM method, the latter yields unsatisfactory results when used to analyze wind turbines operating at off-design conditions. CFD, on the other hand, enables engineers to study the flow in deep stall or even standstill conditions. Furthermore, the detailed description of the physical phenomena provided by CFD can be captured neither by a simplified analysis method nor through experimental measurements. With the continued advances in computing technology and the availability of increasingly powerful computers, CFD will become more popular for solving the aerodynamic problems associated with wind turbines in the years to come.  References: 1 Carcangiu, C.E. Simulazione Numerica del Flusso Attorno al Rotore di una Turbina Eolica. Tesi di Laurea Specialistica, DIMeCa – Università di Cagliari, Dic. 2004. 2 Mandas, G. Progetto Fluidodinamico di un Rotore di Turbina ad Asse Orizzontale. Tesi di Laurea, DIMeCa – Università di Cagliari, Ott. 2002. 3 Hansen, M.O.L. Aerodynamics of Wind Turbines: Rotors, Loads and Structure. James & James: London, 2000. 4 Abbott, J.H.; Von Dohenhoff, A.E. Theory of Wing Sections, Dover Publications Inc.: New York, 1959.

References:

  1. Carcangiu, C.E. Simulazione Numerica del Flusso Attorno al Rotore di una Turbina Eolica. Tesi di Laurea Specialistica, DIMeCa – Università di Cagliari, Dic. 2004.
  2. Mandas, G. Progetto Fluidodinamico di un Rotore di Turbina ad Asse Orizzontale. Tesi di Laurea, DIMeCa – Università di Cagliari, Ott. 2002.
  3. Hansen, M.O.L. Aerodynamics of Wind Turbines: Rotors, Loads and Structure. James & James: London, 2000.
  4. Abbott, J.H.; Von Dohenhoff, A.E. Theory of Wing Sections, Dover Publications Inc.: New York, 1959.

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