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Experimental optimization of the SG6043 airfoil for horizontal axis wind turbine using Schmitz equations

Yıl 2024, Cilt: 9 Sayı: 4, 619 - 636, 25.12.2024
https://doi.org/10.58559/ijes.1552364

Öz

This study presents the experimental optimization of the SG6043 airfoil for horizontal axis wind turbines (HAWTs) using the Schmitz equation, focusing on enhancing power output and elucidating the surface flow structure. Two blade models, M1 (conventional) and M2 (optimized), were designed and tested at rotational speeds of 400 rpm and 600 rpm across a range of tip speed ratios (TSR). The M2 model, optimized using Schmitz equations, demonstrated significantly improved performance compared to the M1 model at both rotational speeds. At 400 rpm, the maximum power coefficient (CP) for M1 was 0.274, while M2 reached 0.419, indicating a 52.91% improvement. At 600 rpm, M1 achieved a maximum CP of 0.293, whereas M2 attained 0.458, representing a 56.31% enhancement. The M2 model also showed superior performance at higher TSRs, with the highest percentage increase in CP recorded at 4.9 TSR, reaching 574.54%. Additionally, dynamic surface oil-flow visualization experiments were conducted to examine flow behavior on the blade surfaces. Results indicated better flow attachment in the M2 blade due to its optimized twist angle and chord length, particularly in the mid-section, leading to delayed flow separation. The reattachment observed on the suction side of the M2 model, following the laminar separation bubble (LSB), which was absent in the M1, contributed to its higher aerodynamic efficiency and overall power performance. These findings confirm that the optimized SG6043 airfoil design, guided by Schmitz equations, offers significant improvements in HAWT performance, particularly under varying operational conditions.

Kaynakça

  • [1] Akuru UB, Onukwube IE, Okoro OI, Obe ES. Towards 100% renewable energy in Nigeria. Renewable and Sustainable Energy Reviews 2017 ;71 :943-953.
  • [2] Kuşkaya S, Bilgili F. The wind energy-greenhouse gas nexus: The wavelet-partial wavelet coherence model approach. Journal of Cleaner Production 2020; 245; 118872.
  • [3] Chen WH, Chen CY, Huang CY, Hwang CJ. Power output analysis and optimization of two straight-bladed vertical-axis wind turbines. Applied Energy 2017;185:223-232.
  • [4] Paçacı Ç. Hybrid axis wind turbine profile design. International Journal of Energy Studies. 2024 ;9(1) :1-19.
  • [5] Tanürün HE. Improvement of vertical axis wind turbine performance by using the optimized adaptive flap by the Taguchi method. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 2024; 46(1): 71-90.
  • [6] Avtar R, Sahu N, Aggarwal AK, et al. Exploring renewable energy resources using remote sensing and GIS-A review. Resources 2019; 8(3).
  • [7] Çakıroğlu R, Tanürün HE, Acır A, Üçgül F, Olkun S. Optimization of NACA 4412 augmented with a gurney flap by using grey relational analysis. Journal of the Brazilian Society of Mechanical Sciences and Engineering 2023; 45(3) :1-18.
  • [8] Li J, Wang G, Li Z, Yang S, Chong WT, Xiang X. A review on development of offshore wind energy conversion system. International Journal of Energy Research 2020;44(12):9283-9297.
  • [9] Johari MK, Jalil MAA, Shariff MFM. Comparison of horizontal axis wind turbine (HAWT) and vertical axis wind turbine (VAWT). International Journal of Engineering and Technology(UAE) 2018; 7(4) :74-80.
  • [10] Shires A, Kourkoulis V. Application of Circulation Controlled Blades for Vertical Axis Wind Turbines. Energies 2013; 6(8): 3744-3763.
  • [11] Kim Y, Bangga G, Delgado A. Investigations of HAWT Airfoil Shape Characteristics and 3D Rotational Augmentation Sensitivity Toward the Aerodynamic Performance Improvement. Sustainability 2020; 12(18): 7597.
  • [12] Hamlaoui MN, Bouhelal A, Smaili A, Khelladi S, Fellouah H. An inverse CFD actuator disk method for aerodynamic design and performance optimization of Horizontal Axis Wind Turbine blades. Energy Conversion Managment 2024; 316: 118818.
  • [13] Al-Abadi A, Ertunç Ö, Beyer F, Delgado A. Torque-Matched Aerodynamic Shape Optimization of HAWT Rotor. Journal of Physics: Conference Series 2014; 555(1): 012003.
  • [14] Zidane IF, Swadener G, Ma X, Shehadeh MF, Salem MH, Saqr KM. Performance of a wind turbine blade in sandstorms using a CFD-BEM based neural network. Journal of Renewable and Sustainable Energy 2020; 12(5).
  • [15] Bouhelal A, Ladjal A, Smaili A. Blade Element Momentum Theory Coupled with Machine Learning to Predict Wind Turbine Aerodynamic Performances. AIAA SCITECH, 2023; 23; 1153.
  • [16] Hamlaoui MN, Smaili A, Fellouah H. Improved BEM Method for HAWT Performance Predictions. International Conference on Wind Energy and Applications in Algeria, (ICWEAA); Algiers, Algeria, 2018.
  • [17] Bouhelal A, Smaili A, Guerri O, Masson C. Comparison of BEM and Full Navier-Stokes CFD Methods for Prediction of Aerodynamics Performance of HAWT Rotors. International Renewable and Sustainable Energy Conference (IRSEC), Taniger, Morocco, 2017.
  • [18] Mansi A, Aydin D. The impact of trailing edge flap on the aerodynamic performance of small scale horizontal axis wind turbine. Energy Conversion Managment 2022; 256: 115396.
  • [19] Abdelsalam AM, El-Askary WA, Kotb MA, Sakr IM. Experimental study on small scale horizontal axis wind turbine of analytically-optimized blade with linearized chord twist angle profile. Energy 2021; 216: 119304.
  • [20] Wang H, Jiang X, Chao Y, et al. Numerical optimization of horizontal-axis wind turbine blades with surrogate model 2020; 235(5): 1173-1186.
  • [21] Akbari V, Naghashzadegan M, Kouhikamali R, Afsharpanah F, Yaïci W. Multi-Objective Optimization of a Small Horizontal-Axis Wind Turbine Blade for Generating the Maximum Startup Torque at Low Wind Speeds. Machines 2022; 10(9): 785.
  • [22] Siram O, Kesharwani N, Sahoo N, Saha UK. Aerodynamic Design and Wind Tunnel Tests of Small-Scale Horizontal-Axis Wind Turbines for Low Tip Speed Ratio Applications. Jornal Solar Energy Engineering 2022; 144(4); 041009.
  • [23] Rodriguez CV, Celis C. Design optimization methodology of small horizontal axis wind turbine blades using a hybrid CFD/BEM/GA approach. Journal of the Brazilian Society of Mechanical Sciences and Engineering 2022; 44(3): 254.
  • [24] Jha D, Singh M, Thakur AN. A novel computational approach for design and performance investigation of small wind turbine blade with extended BEM theory. International Journal of Energy and Environmental Engineering 2021; 12(3): 563-575.
  • [25] Tokul A, Kurt U. Comparative performance analysis of NACA 2414 and NACA 6409 airfoils for horizontal axis small wind turbine. International Journal of Energy Studies. 2023;8(4):879-898.
  • [26] Akbari V, Naghashzadegan M, Kouhikamali R, Afsharpanah F, Yaïci W. Multi-Objective Optimization and Optimal Airfoil Blade Selection for a Small Horizontal-Axis Wind Turbine (HAWT) for Application in Regions with Various Wind Potential. Machines 2022; 10(8): 687.
  • [27] Natarajan K, Suthakar T. Insight aerodynamic analysis on small-scale wind turbines airfoils for low Reynolds number applications. Environmental Progress & Sustainable Energy 2022; 41(4): 13807.
  • [28] Giguére P, Selig MS. New airfoils for small horizontal axis wind turbines. Journal of Solar Energy Engineering, Transactions of the ASME. 1998; 120(2): 108-114.
  • [29] Abdelwahed KS, El-Rahman A, Zhao M, Cao H, Zhang M. Aerodynamic performance prediction of SG6043 airfoil for a horizontal-axis small wind turbine. Journal of Physics: Conference Series 2020; 1452(1) :012018.
  • [30] Singh RK, Ahmed MR, Zullah MA, Lee YH. Design of a low Reynolds number airfoil for small horizontal axis wind turbines. Renewable Energy 2012; 42: 66-76.
  • [31] Noronha NP, Krishna M. Aerodynamic performance comparison of airfoils suggested for small horizontal axis wind turbines. Mater Today Proceedings 2021; 46: 2450-2455.
  • [32] Manwell JF, McGowan JG, Rogers AL. Wind Energy Explained: Theory, Design and Application. AJohn Wiley and Sons Ltd. Press; Chippenham, Great Britain, 2010.
  • [33] Koç E, Gör A. Şenel MA. Yatay Eksenli Rüzgâr Türbinlerinde Optimum Türbin Parametrelerinin Belirlenmesi-Teorik Yaklaşım. Mühendis ve Makine 57 (676):32.
  • [34] Maalawi KY, Badr MA. A practical approach for selecting optimum wind rotors. Renewable Energy 2003; 28(5): 803-822.
  • [35] Tanürün HE, Acır A. Investigation of the hydrogen production potential of the H-Darrieus turbines combined with various wind-lens. Int J Hydrogen Energy. 2022; 47(55): 23118-23138.
  • [36] Kaya F, Tanürün HE, Acır A. Numerical Investigation of Radius Dependent Solidity Effect on H-Type Vertical Axis Wind Turbines. Journal of Polytechnic 2022; 25(3): 1007-1019.
  • [37] Chen TY, Liou LR. Blockage corrections in wind tunnel tests of small horizontal-axis wind turbines. Experimental Thermal and Fluid Science 2011; 35(3): 565-569.
  • [38] Hsiao F Bin, Bai CJ, Chong WT. The Performance Test of Three Different Horizontal Axis Wind Turbine (HAWT) Blade Shapes Using Experimental and Numerical Methods. Energies 2013; 6(6): 2784-2803.
Yıl 2024, Cilt: 9 Sayı: 4, 619 - 636, 25.12.2024
https://doi.org/10.58559/ijes.1552364

Öz

Kaynakça

  • [1] Akuru UB, Onukwube IE, Okoro OI, Obe ES. Towards 100% renewable energy in Nigeria. Renewable and Sustainable Energy Reviews 2017 ;71 :943-953.
  • [2] Kuşkaya S, Bilgili F. The wind energy-greenhouse gas nexus: The wavelet-partial wavelet coherence model approach. Journal of Cleaner Production 2020; 245; 118872.
  • [3] Chen WH, Chen CY, Huang CY, Hwang CJ. Power output analysis and optimization of two straight-bladed vertical-axis wind turbines. Applied Energy 2017;185:223-232.
  • [4] Paçacı Ç. Hybrid axis wind turbine profile design. International Journal of Energy Studies. 2024 ;9(1) :1-19.
  • [5] Tanürün HE. Improvement of vertical axis wind turbine performance by using the optimized adaptive flap by the Taguchi method. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 2024; 46(1): 71-90.
  • [6] Avtar R, Sahu N, Aggarwal AK, et al. Exploring renewable energy resources using remote sensing and GIS-A review. Resources 2019; 8(3).
  • [7] Çakıroğlu R, Tanürün HE, Acır A, Üçgül F, Olkun S. Optimization of NACA 4412 augmented with a gurney flap by using grey relational analysis. Journal of the Brazilian Society of Mechanical Sciences and Engineering 2023; 45(3) :1-18.
  • [8] Li J, Wang G, Li Z, Yang S, Chong WT, Xiang X. A review on development of offshore wind energy conversion system. International Journal of Energy Research 2020;44(12):9283-9297.
  • [9] Johari MK, Jalil MAA, Shariff MFM. Comparison of horizontal axis wind turbine (HAWT) and vertical axis wind turbine (VAWT). International Journal of Engineering and Technology(UAE) 2018; 7(4) :74-80.
  • [10] Shires A, Kourkoulis V. Application of Circulation Controlled Blades for Vertical Axis Wind Turbines. Energies 2013; 6(8): 3744-3763.
  • [11] Kim Y, Bangga G, Delgado A. Investigations of HAWT Airfoil Shape Characteristics and 3D Rotational Augmentation Sensitivity Toward the Aerodynamic Performance Improvement. Sustainability 2020; 12(18): 7597.
  • [12] Hamlaoui MN, Bouhelal A, Smaili A, Khelladi S, Fellouah H. An inverse CFD actuator disk method for aerodynamic design and performance optimization of Horizontal Axis Wind Turbine blades. Energy Conversion Managment 2024; 316: 118818.
  • [13] Al-Abadi A, Ertunç Ö, Beyer F, Delgado A. Torque-Matched Aerodynamic Shape Optimization of HAWT Rotor. Journal of Physics: Conference Series 2014; 555(1): 012003.
  • [14] Zidane IF, Swadener G, Ma X, Shehadeh MF, Salem MH, Saqr KM. Performance of a wind turbine blade in sandstorms using a CFD-BEM based neural network. Journal of Renewable and Sustainable Energy 2020; 12(5).
  • [15] Bouhelal A, Ladjal A, Smaili A. Blade Element Momentum Theory Coupled with Machine Learning to Predict Wind Turbine Aerodynamic Performances. AIAA SCITECH, 2023; 23; 1153.
  • [16] Hamlaoui MN, Smaili A, Fellouah H. Improved BEM Method for HAWT Performance Predictions. International Conference on Wind Energy and Applications in Algeria, (ICWEAA); Algiers, Algeria, 2018.
  • [17] Bouhelal A, Smaili A, Guerri O, Masson C. Comparison of BEM and Full Navier-Stokes CFD Methods for Prediction of Aerodynamics Performance of HAWT Rotors. International Renewable and Sustainable Energy Conference (IRSEC), Taniger, Morocco, 2017.
  • [18] Mansi A, Aydin D. The impact of trailing edge flap on the aerodynamic performance of small scale horizontal axis wind turbine. Energy Conversion Managment 2022; 256: 115396.
  • [19] Abdelsalam AM, El-Askary WA, Kotb MA, Sakr IM. Experimental study on small scale horizontal axis wind turbine of analytically-optimized blade with linearized chord twist angle profile. Energy 2021; 216: 119304.
  • [20] Wang H, Jiang X, Chao Y, et al. Numerical optimization of horizontal-axis wind turbine blades with surrogate model 2020; 235(5): 1173-1186.
  • [21] Akbari V, Naghashzadegan M, Kouhikamali R, Afsharpanah F, Yaïci W. Multi-Objective Optimization of a Small Horizontal-Axis Wind Turbine Blade for Generating the Maximum Startup Torque at Low Wind Speeds. Machines 2022; 10(9): 785.
  • [22] Siram O, Kesharwani N, Sahoo N, Saha UK. Aerodynamic Design and Wind Tunnel Tests of Small-Scale Horizontal-Axis Wind Turbines for Low Tip Speed Ratio Applications. Jornal Solar Energy Engineering 2022; 144(4); 041009.
  • [23] Rodriguez CV, Celis C. Design optimization methodology of small horizontal axis wind turbine blades using a hybrid CFD/BEM/GA approach. Journal of the Brazilian Society of Mechanical Sciences and Engineering 2022; 44(3): 254.
  • [24] Jha D, Singh M, Thakur AN. A novel computational approach for design and performance investigation of small wind turbine blade with extended BEM theory. International Journal of Energy and Environmental Engineering 2021; 12(3): 563-575.
  • [25] Tokul A, Kurt U. Comparative performance analysis of NACA 2414 and NACA 6409 airfoils for horizontal axis small wind turbine. International Journal of Energy Studies. 2023;8(4):879-898.
  • [26] Akbari V, Naghashzadegan M, Kouhikamali R, Afsharpanah F, Yaïci W. Multi-Objective Optimization and Optimal Airfoil Blade Selection for a Small Horizontal-Axis Wind Turbine (HAWT) for Application in Regions with Various Wind Potential. Machines 2022; 10(8): 687.
  • [27] Natarajan K, Suthakar T. Insight aerodynamic analysis on small-scale wind turbines airfoils for low Reynolds number applications. Environmental Progress & Sustainable Energy 2022; 41(4): 13807.
  • [28] Giguére P, Selig MS. New airfoils for small horizontal axis wind turbines. Journal of Solar Energy Engineering, Transactions of the ASME. 1998; 120(2): 108-114.
  • [29] Abdelwahed KS, El-Rahman A, Zhao M, Cao H, Zhang M. Aerodynamic performance prediction of SG6043 airfoil for a horizontal-axis small wind turbine. Journal of Physics: Conference Series 2020; 1452(1) :012018.
  • [30] Singh RK, Ahmed MR, Zullah MA, Lee YH. Design of a low Reynolds number airfoil for small horizontal axis wind turbines. Renewable Energy 2012; 42: 66-76.
  • [31] Noronha NP, Krishna M. Aerodynamic performance comparison of airfoils suggested for small horizontal axis wind turbines. Mater Today Proceedings 2021; 46: 2450-2455.
  • [32] Manwell JF, McGowan JG, Rogers AL. Wind Energy Explained: Theory, Design and Application. AJohn Wiley and Sons Ltd. Press; Chippenham, Great Britain, 2010.
  • [33] Koç E, Gör A. Şenel MA. Yatay Eksenli Rüzgâr Türbinlerinde Optimum Türbin Parametrelerinin Belirlenmesi-Teorik Yaklaşım. Mühendis ve Makine 57 (676):32.
  • [34] Maalawi KY, Badr MA. A practical approach for selecting optimum wind rotors. Renewable Energy 2003; 28(5): 803-822.
  • [35] Tanürün HE, Acır A. Investigation of the hydrogen production potential of the H-Darrieus turbines combined with various wind-lens. Int J Hydrogen Energy. 2022; 47(55): 23118-23138.
  • [36] Kaya F, Tanürün HE, Acır A. Numerical Investigation of Radius Dependent Solidity Effect on H-Type Vertical Axis Wind Turbines. Journal of Polytechnic 2022; 25(3): 1007-1019.
  • [37] Chen TY, Liou LR. Blockage corrections in wind tunnel tests of small horizontal-axis wind turbines. Experimental Thermal and Fluid Science 2011; 35(3): 565-569.
  • [38] Hsiao F Bin, Bai CJ, Chong WT. The Performance Test of Three Different Horizontal Axis Wind Turbine (HAWT) Blade Shapes Using Experimental and Numerical Methods. Energies 2013; 6(6): 2784-2803.
Toplam 38 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Enerji, Rüzgar Enerjisi Sistemleri
Bölüm Research Article
Yazarlar

Mehmet Seyhan 0000-0002-5927-9128

Himmet Erdi Tanürün 0000-0001-7814-7043

Yayımlanma Tarihi 25 Aralık 2024
Gönderilme Tarihi 18 Eylül 2024
Kabul Tarihi 14 Ekim 2024
Yayımlandığı Sayı Yıl 2024 Cilt: 9 Sayı: 4

Kaynak Göster

APA Seyhan, M., & Tanürün, H. E. (2024). Experimental optimization of the SG6043 airfoil for horizontal axis wind turbine using Schmitz equations. International Journal of Energy Studies, 9(4), 619-636. https://doi.org/10.58559/ijes.1552364
AMA Seyhan M, Tanürün HE. Experimental optimization of the SG6043 airfoil for horizontal axis wind turbine using Schmitz equations. Int J Energy Studies. Aralık 2024;9(4):619-636. doi:10.58559/ijes.1552364
Chicago Seyhan, Mehmet, ve Himmet Erdi Tanürün. “Experimental Optimization of the SG6043 Airfoil for Horizontal Axis Wind Turbine Using Schmitz Equations”. International Journal of Energy Studies 9, sy. 4 (Aralık 2024): 619-36. https://doi.org/10.58559/ijes.1552364.
EndNote Seyhan M, Tanürün HE (01 Aralık 2024) Experimental optimization of the SG6043 airfoil for horizontal axis wind turbine using Schmitz equations. International Journal of Energy Studies 9 4 619–636.
IEEE M. Seyhan ve H. E. Tanürün, “Experimental optimization of the SG6043 airfoil for horizontal axis wind turbine using Schmitz equations”, Int J Energy Studies, c. 9, sy. 4, ss. 619–636, 2024, doi: 10.58559/ijes.1552364.
ISNAD Seyhan, Mehmet - Tanürün, Himmet Erdi. “Experimental Optimization of the SG6043 Airfoil for Horizontal Axis Wind Turbine Using Schmitz Equations”. International Journal of Energy Studies 9/4 (Aralık 2024), 619-636. https://doi.org/10.58559/ijes.1552364.
JAMA Seyhan M, Tanürün HE. Experimental optimization of the SG6043 airfoil for horizontal axis wind turbine using Schmitz equations. Int J Energy Studies. 2024;9:619–636.
MLA Seyhan, Mehmet ve Himmet Erdi Tanürün. “Experimental Optimization of the SG6043 Airfoil for Horizontal Axis Wind Turbine Using Schmitz Equations”. International Journal of Energy Studies, c. 9, sy. 4, 2024, ss. 619-36, doi:10.58559/ijes.1552364.
Vancouver Seyhan M, Tanürün HE. Experimental optimization of the SG6043 airfoil for horizontal axis wind turbine using Schmitz equations. Int J Energy Studies. 2024;9(4):619-36.