Designing wind turbine rotor blades to enhance energy capture in turbine arrays. (April 2020)

• Record Type: Journal Article
• Authors: Moghadassian, Behnam; Sharma, Anupam
• Is Part Of: Renewable energy. Volume 148(2020)
• Page Start: 651
• Page End: 664
• Publication Date: 2020-04
• Subjects: Inverse design -- Wind farm design; Renewable energy sources -- Periodicals; Power resources -- Periodicals; Énergies renouvelables -- Périodiques; Ressources énergétiques -- Périodiques; 333.794
• DOI: 10.1016/j.renene.2019.10.153
• Languages: English
• ISSNs: 0960-1481

Abstract

Abstract: An inverse design approach is proposed to compute wind turbine blade geometries which maximize the aggregate power output from a wind farm. An iterative inverse algorithm is used to solve the optimization problem. The algorithm seeks to minimize the target function, f = − C P, av, where C P, av is the average normalized mechanical power of all the turbines in the wind farm. An upper bound on the blade planform area, representative of the blade weight, is imposed to demonstrate how to incorporate constraints in the design process. The power coefficients ( C P ) of the turbines in the farm are computed by solving the Reynolds Averaged Navier Stokes equations with the turbine rotors modeled as momentum sources using the actuator disk model. The inverse design is carried out using the trust-region-reflective method, which is a nonlinear least squares regression solver. The computation cost is reduced by computing the Jacobian once every few iterations and approximating it using Broyden's method in between. The proposed design approach is first demonstrated to maximize the isolated performance of single- and dual-rotor wind turbines and subsequently used to design the blades for a 3-turbine array and a ten-turbine array in which the downstream turbines operate directly in the wake of the upstream turbines. For a turbine-turbine spacing of four rotor diameters, the farm-optimized blade designs increase the farm power output by over five percent and the optimized blade geometries are found to be considerably different from the blade geometry optimized for isolated turbine operation. As the turbine-turbine spacing is increased to eight rotor diameters, the difference between the blade geometry optimized for farm operation versus that for isolated operation, is reduced. Highlights: A novel idea to design wind turbine blade design from a windfarm perspective. Over 5% increase in energy capture achieved with farm-optimized turbine designs. Farm-optimized turbine geometries are very different from conventional designs. Increase in energy capture is associated with increase in blade loads. Proposed framework readily extensible to other solvers and farm layouts.