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Presentation
Inverse Design of Single- and Multi-Rotor Horizontal Axis Wind Turbine Blades using Computational Fluid Dynamics
35th Wind Energy Symposium
  • Behnam Moghadassian, Iowa State University
  • Anupam Sharma, Iowa State University
Document Type
Conference Proceeding
Conference
35th Wind Energy Symposium
Publication Version
Accepted Manuscript
Link to Published Version
https://doi.org/10.2514/6.2017-1848
Publication Date
1-1-2017
DOI
10.2514/6.2017-1848
Conference Title
35th Wind Energy Symposium
Conference Date
January 9-13, 2017
Geolocation
(32.9342919, -97.07806540000001)
Abstract

A method for inverse design of horizontal axis wind turbine (HAWT) is presented in this paper. The direct solver for aerodynamic analysis solves the Reynolds Averaged Navier Stokes (RANS) equations, where the effect of the turbine rotor is modeled as momentum sources using the actuator disk model (ADM).The inverse problem is posed as follows: for a given selection of airfoils, the objective is to find the blade geometry (described as blade twist and chord distributions) which realizes the desired turbine aerodynamic performance at the design point; the desired performance is prescribed as angle of attack (α) and axial induction factor (a) distributions along the blade. The method is first applied for conventional, single-rotor HAWTs and then extended to multi-rotor, specifically dual-rotor wind turbines.

Comments

This is a manuscript of a proceeding published as Behnam Moghadassian and Anupam Sharma. (2017) "Inverse Design of Single- and Multi-Rotor Horizontal Axis Wind Turbine Blades using Computational Fluid Dynamics", 35th Wind Energy Symposium, AIAA SciTech Forum. (AIAA 2017-1848). doi: 10.2514/6.2017-1848. Posted with permission.

Copyright Owner
American Institute of Aeronautics and Astronautics
Language
en
File Format
application/pdf
Citation Information
Behnam Moghadassian and Anupam Sharma. "Inverse Design of Single- and Multi-Rotor Horizontal Axis Wind Turbine Blades using Computational Fluid Dynamics" Grapevine, TX35th Wind Energy Symposium (2017) p. 2017-1848
Available at: http://works.bepress.com/anupam_sharma/33/