Hostname: page-component-586b7cd67f-t8hqh Total loading time: 0 Render date: 2024-11-28T09:53:53.108Z Has data issue: false hasContentIssue false

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*
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
Get access

Abstract

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.

Type
Research Article
Copyright
Copyright © The Society of Theoretical and Applied Mechanics, R.O.C. 2014 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

1.Morais, R. S., Matos, G., Fernandes, M. A. A., Valente, L. G., Soares, S. F. S., Ferreira, P. P. J. S. G. and Reis, M. J. C. S., “Sun, Wind and Water Flow as Energy Supply for Small Stationary Data Acquisition Platforms,” Computers and Electronics in Agriculture, 64, pp. 120132 (2008).CrossRefGoogle Scholar
2.Nema, P., Nema, R. K. and Rangnekar, S., “A Current and Future State of Art Development of Hybrid Energy System Using Wind and PV-Solar: A Review,” Renewable and Sustainable Energy Reviews, 13, pp. 20962103 (2009).Google Scholar
3.Chen, H., Chou, P., Duri, S., Lei, H. and Reason, J., “The Design and Implementation of a Smart Building Control System,” 2009 IEEE International Conference on E-Business Engineering, Macau, pp. 255262 (2009).Google Scholar
4.Sardini, E. and Serpelloni, M., “Passive and Self-Powered Autonomous Sensors for Remote Measurements,” Sensors, 9, pp. 943960 (2009).Google Scholar
5. “ZL70250 Ultra-Low-Power Sub-GHz RF Transceiver,” Microsemi Corporation (2012).Google Scholar
6.Vaussard, F., Bonani, M., Rétornaz, P., Martinoli, A. and Mondada, F., “Towards Autonomous Energy-Wise RObjects,” Proceedings of the 12th Conference Towards Autonomous Robotic Systems, Sheffield, UK, pp. 311322 (2011).Google Scholar
7. Widetronix, Available: http://www.widetronix.com/ [Accessed: 30-Oct-2012].Google Scholar
8.Sudevakatam, S. and Kulkarni, P., “Energy Harvest Ing Sensor Nodes: Survez and Implications,” IEEE Communications Surveys and Tutorials, 13, pp. 443461 (2011).Google Scholar
9. “Comparative Climate Data for the United States Through 2011,” National Oceanic and Atmospheric Administration, Asheville, North Carolina, CCD-2011 (2011).Google Scholar
10.Judet de la Combe, A. and Sesolis, B., Conception et calcul des installations de ventilation des bâtiments et des ouvrages, Pyc éd, France (1992).Google Scholar
11.Gasch, R. and Twele, J. (Eds.), Wind Power Plants: Fundamentals, Design, Construction and Operation, 2nd Edition, 2012 Edition, Springer, Berlin Heidelberg (2011).Google Scholar
12.Hau, E. and Renouard, H., “Wind Turbines, Fundamentals, Technologies, Application, Economics,” Wind Turbines, Springer, Berlin Heidelberg, pp. 91160 (2006).Google Scholar
13.Federspiel, C. C. and Chen, J., “Air-Powered Sensor,” Proceedings of IEEE Sensors, Toronto, Canada, pp. 2225 (2003).Google Scholar
14.Rancourt, D., Tabesh, A. and Fréchette, L. G., “Evaluation of Centimeter-Scale Micro Wind Mills: Aerodynamics and Electromagnetic Power Generation,” Proceedings Power MEMS, Freiburg, Germany (2007).Google Scholar
15.Xu, F. J., Yuan, F. G., Hu, J. Z. and Qiu, Y. P., “Design of a Miniature Wind Turbine for Powering Wireless Sensors,” Proceedings of SPIE, 7647, pp. 764741–764741-9 (2010).Google Scholar
16.Carli, D., Brunelli, D., Bertozzi, D. and Benini, L., “A High-Efficiency Wind-Flow Energy Harvester Using Micro Turbine,” Power Electronics Electrical Drives Automation and Motion (SPEEDAM), 2010 International Symposium, pp. 778783 (2010).Google Scholar
17.Vlad, C., Munteanu, I., Bratcu, A. I. and Ceangă, E., “Output Power Maximization of Low-Power Wind Energy Conversion Systems Revisited: Possible Control Solutions,” Energy Conversion and Management, 51, pp. 305310 (2010).CrossRefGoogle Scholar
18.Sardini, E. and Serpelloni, M., “Self-Powered Wireless Sensor for Air Temperature and Velocity Measurements with Energy Harvesting Capability,” Instrumentation and Measurement, IEEE Transactions, 60, pp. 18381844 (2011).Google Scholar
19.Flammini, A., Marioli, D., Sardini, E. and Serpelloni, M., “An Autonomous Sensor with Energy Harvesting Capability for Airflow Speed Measurements,” Instrumentation and Measurement Technology Conference (I2MTC), IEEE, pp. 892897 (2010).Google Scholar
20. Linear Technology, “LTC3108, Ultralow Voltage Step-Up Converter and Power Manager,” 2012. [Online]. Available: http://cds.linear.com/docs/Datasheet/3108fb.pdf. [Accessed: 20-Nov-2012].Google Scholar
21.Holmes, A. S., Hong, Guodong. and Pullen, K. R., “Axial-Flux Permanent Magnet Machines for Micropower Generation,” Journal of Microelectrome-chanical Systems, 14, pp. 5462 (2005).Google Scholar
22.Howey, D. A., Bansal, A. and Holmes, A. S., “Design and Performance of a Centimetre-Scale Shrouded Wind Turbine for Energy Harvesting,” Smart Materials and Structures, 20, p. 085021 (2011) .Google Scholar
23.Myers, R. H., Montgomery, D. C. and Anderson-Cook, C. M., Response Surface Methodology: Process and Product Optimization Using Designed Experiments, 3rd Edition, Wiley, New Jersey (2009).Google Scholar
24.Drela, M., “QPROP, Propeller/Windmill Analysis and Design,” Dec-2007. [Online]. Available: http://web.mit.edu/drela/Public/web/qprop/. [Accessed: 01-Jul-2012].Google Scholar
25.Toliyat, H. A. and Kliman, G. B., Handbook of Electric Motors. CRC Press, Florida (2004).Google Scholar
26.Sunada, S., Sakaguchi, A. and Kawachi, K., “Airfoil Section Characteristics at a Low Reynolds Number,” Journal of Fluids Engineering, 119, p. 129 (1997).Google Scholar
27.Pelletier, A. and Mueller, T. J., “Low Reynolds Number Aerodynamics of Low-Aspect-Ratio, Thin/Flat/Cambered-Plate Wings,” Journal of Aircraft, 37, pp. 825832 (2000).Google Scholar
28.Shyy, W., Aerodynamics of Low Reynolds Number Flyers, Cambridge University Press, Endland (2008).Google Scholar