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Design Space Exploration of Centimeter-Scale Wind Turbines using a Physics-Modified Optimization Formulation

Published online by Cambridge University Press:  22 May 2014

D. Rancourt,
L. Fréchette,
C. Landry and
D. N. Mavris
D. Rancourt*
Affiliation:
Aerospace Systems Design Laboratory, Guggenheim School of Aerospace Engineering, Georgia Institute of Technology, Atlanta, Georgia30332, USA
L. Fréchette
Affiliation:
Microengineering Laboratory for MEMS, Department of Mechanical Engineering, Université de Sherbrooke, Sherbrooke, Québec, J1K 2R1, Canada
C. Landry
Affiliation:
Université de Sherbrooke, Sherbrooke, Québec, J1K 2R1, Canada
D. N. Mavris
Affiliation:
Aerospace Systems Design Laboratory, Guggenheim School of Aerospace Engineering, Georgia Institute of Technology Atlanta, Georgia 30332, USA
*
*david.rancourt@gatech.edu

Abstract

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This paper explores the design space of centimeter-scale micro wind turbines to power wireless sensors through an experimentally validated modeling and simulation environment. A stochastic optimizer is used to obtain a functional relationship between the minimum wind velocity required to find a feasible design and multiple constraints relevant to turbine designers, such as the maximum turbine radius, electrical power required, minimum voltage required and available generators. This relationship is created from an optimization formulation that uses knowledge from the underlying physics and previous optimizations. It is shown that the design space of micro wind turbines is significantly different than large wind turbines due to the low Reynolds number regime. Also, a strong coupling exists between the choice of generator and optimal wind turbine geometry to minimize the wind required to meet the requirements. Smaller generators are more appropriate for micro wind turbines only if a constraint is applied on the maximum radius of the turbine and if no minimum voltage is required for a fixed power output.

Keywords

Micro wind turbineSelf-powered sensorsAutonomous sensorsEnergy harvestingWind energy

Information

Type
Research Article
Information
Journal of Mechanics , Volume 30 , Issue 5 , October 2014, pp. 537 - 548
Copyright
Copyright © The Society of Theoretical and Applied Mechanics, R.O.C. 2014 

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