A Spreadsheet Tool for the AERODAS Model for Calculating Airfoil Pre-Stall and Post-Stall Lift and Drag Characteristics

Ercan Ertürk

Abstract


In this study a spreadsheet tool with visual graphs is presented. The spreadsheet tool uses the AERODAS model developed by Spera (NASA Technical Report, NASA/CR-2008-215434) to predict airfoil pre-stall and post-stall characteristics that is needed as an input for a Blade Element Momentum theory simulation of a wind turbine blade. The spreadsheet tool uses simple up and down buttons to adjust some parameters needed for the AERODAS model with the help of visual graphs. With the presented spreadsheet tool predicting the airfoil polar characteristics in the pre-stall and post-stall regimes using AERODAS model becomes very easy and efficient. The spreadsheet tool is freely available for the scientific community to download. The usage and the efficiency of the presented spreadsheet tool is presented for various applications.

Keywords


Pre-stall and post-stall lift and drag characteristics, airfoil polars at wide angle of attack range, AERODAS model

Full Text:

PDF

References


References

Viterna LA, Janetzke DC. 1982. “Theoretical and Experimental Power from Large Horizontal-Axis Wind Turbines,†NASA Lewis Research Center Technical Report, NASA TM-82944

http://ntrs.nasa.gov/archive/nasa/casi.ntrs.nasa.gov/19820025954.pdf

Montgomerie B. 2004. “Methods for Root Effects, Tip Effects and Extending the Angle of Attack to 180 with Application to Aerodynamics for Blades on Wind Turbines and Propellersâ€, Swedish Defence Research Agency Scientific Report, FOI-R--1305—SE [accessed August 2018]

https://www.foi.se/reportsummary?reportNo=FOI-R--1305--SE

Lindenburg C. 2003. “Investigation into Rotor Blade Aerodynamicsâ€, Energy research Centre of the Netherlands (ECN) Wind Energy publication, ECN-C--03-025

ftp://ftp.ecn.nl/pub/www/library/report/2003/c03025.pdf

Tangler J, Kocurek JD. 2005. “Wind Turbine Post-Stall Airfoil Performance Characteristics Guidelines for Blade-Element Momentum Methodsâ€, NREL Report, NREL/CP-500-36900

http://www.nrel.gov/docs/fy05osti/36900.pdf

Spera DA. 2008. “Models of Lift and Drag Coeffi cients of Stalled and Unstalled Airfoils in Wind Turbines and Wind Tunnelsâ€, NASA Technical Report NASA/CR-2008-215434

http://ntrs.nasa.gov/archive/nasa/casi.ntrs.nasa.gov/20090001311.pdf

Erturk E. AERODAS spreadsheet download web page [accessed August 2018]

http://www.cavityflow.com/aerodas.rar

XFOIL web page [accessed August 2018]

https://web.mit.edu/drela/Public/web/xfoil/

Drela M. 1989. “XFOIL: An Analysis and Design System for Low Reynolds Number Airfoilsâ€, In: Mueller T.J. (eds) Low Reynolds Number Aerodynamics. Lecture Notes in Engineering, vol 54. Springer, Berlin, Heidelberg

https://doi.org/10.1007/978-3-642-84010-4_1

Morgado J, Vizinho R, Silvestre MAR, Páscoa JC. 2016. “XFOIL vs CFD performance predictions for high lift low Reynolds number airfoilsâ€, Aerospace Science and Technology 52:207-214

https://doi.org/10.1016/j.ast.2016.02.031

Salgado V, Troya C, Moreno G, Molina J. 2016. “Airfoil Selection Methodology for Small Wind Turbinesâ€, International Journal of Renewable Energy Research 6:1410-1415

http://www.ijrer.org/ijrer/index.php/ijrer/article/view/4642/pdf

Gunel O, Koc E, Yavuz T. 2016. “CFD vs. XFOIL of airfoil analysis at low reynolds numbersâ€, 2016 IEEE International Conference on Renewable Energy Research and Applications (ICRERA), Birmingham, pp. 628-632.

https://doi.org/10.1109/ICRERA.2016.7884411

Bloy AW, Roberts DG. 1993. “Aerodynamic Characteristics of the NACA632-215 Aerofoil for Use in Wind Turbinesâ€, Wind Engineering 17:67-75

http://www.jstor.org/stable/43749499

UIUC Airfoil Data Site [accessed August 2018]

https://m-selig.ae.illinois.edu/ads/coord_database.html

Engauge Digitizer web page [accessed August 2018]

http://markummitchell.github.io/engauge-digitizer/

Satran D, Snider MH. 1977. “Two Dimensional Tests of GA(W)-1 and GA(W)-2 Airfoils at Angles-of-Attack from 0 to 360 Degreesâ€, Wichita State University, Wind Energy Laboratory, Wind Energy Reports No.1

http://hdl.handle.net/10057/5692

NREL AirfoilPrep web page [accessed August 2018]

https://nwtc.nrel.gov/AirFoilPrep




DOI (PDF): https://doi.org/10.20508/ijrer.v8i4.8480.g7550

Refbacks

  • There are currently no refbacks.


Online ISSN: 1309-0127

Publisher: Gazi University

IJRER is cited in SCOPUS, EBSCO, WEB of SCIENCE (Clarivate Analytics);

IJRER has been cited in Emerging Sources Citation Index from 2016 in web of science.

WEB of SCIENCE in 2025; 

h=35,

Average citation per item=6.59

Last three Years Impact Factor=(1947+1753+1586)/(146+201+78)=5286/425=12.43

Category Quartile:Q4