Evaluation of feasibility analyses for different hub heights of a wind turbine

Abstract

In this study, techno-economic and environmental feasibility analyses of a wind turbine for different hub connection heights were investigated using RETScreen Expert energy analysis program. Çerkezköy district of Tekirdağ province was chosen as the region in which the wind turbines will be constructed. According to the analysis of hourly wind speed data recorded by a meteorology station established in Çerkezköy, it can be easily said that the annual average wind speed for 10 m altitude is 5.305 m/s and the directions of the prevailing winds are between NE (45o) and ENE (67.5o). The model of the wind turbine chosen in the present study is the Sinovel 1500/77, and techno-economic and environmental evaluations were made for the hub connection heights of 65, 80 and 100 m. In accordance with the study results, when the payback period is evaluated in terms of energy production cost and greenhouse gas reduction potential, the wind turbine with 100 m hub connection height exhibits better results than others with 65 and 80 m. It is thought that this study will guide selecting a suitable hub height for wind power plants and wind turbines that are planned to be established in Çerkezköy, one of the largest industrial regions of Turkey to obtain cost-effective and environment-friendly conditions.

Keywords

• Feasibility analysis
• Moment method
• RETScreen expert
• Weibull distribution
• Wind power

References

1. [1] Şanlı, BG, Günöz, A. Feasibility analyses and comparisons of wind power plants located in different regions of Mersin by using RETScreen program. Journal of Science and Technology 2018; 11(3): 478-487, DOI: 10.18185/erzifbed.420365.
2. [2] Pourasl, HH, Khojastehnezhad, VM. Techno-economic analysis of wind energy potential in Kazakhstan. Proceedings of the Institution of Mechanical Engineers, Part A: Journal of Power and Energy 2021; 235(6): 1563-1576. DOI: 10.1177/09576509211001598.
3. [3] Aamir Mehmood, A, Said, Z, Waqas, A, Arshad, W. Techno-economic performance assessment of central-grid wind turbines at major geographical locations of Pakistan. Journal of Energy Systems 2017; 1(1): 43-55. DOI: 10.30521/jes.347512.
4. [4] Audu, MO, Terwase, AS, Isikwue, BC. Investigation of wind speed characteristics and its energy potential in Makurdi, north central, Nigeria. SN Applied Sciences 2019; 1: 178. DOI: 10.1007/s42452-019-0189-x
5. [5] Thoppil A, Akbar M, Rambabu D. Dynamic analysis of a tri-floater with vertical axis wind turbine supported at its centroid. Journal of Energy Systems 2021; 5(1): 10-19. DOI: 10.30521/jes.811097.
6. [6] Alkawsi, G, Baashar, Y, Alkahtani, AA, Lim, CW, Tiong, SK, Khudari, M. Viability Assessment of Small-Scale On-Grid Wind Energy Generator for Households in Malaysia. Energies 2021; 14: 3391. DOI: 10.3390/en14123391.
7. [7] Arefin, SS, Das, N. Optimized Hybrid Wind-Diesel Energy System with Feasibility Analysis. Technol Econ Smart Grids Sustain Energy 2017; 2: 9. DOI: 10.1007/s40866-017-0025-6.
8. [8] Aghapouramin, K. Technical, Economical, and Environmental Feasibility of Hybrid Renewable Electrification Systems for off-Grid Remote Rural Electrification Areas for East Azerbaijan Province, Iran. Technol Econ Smart Grids Sustain Energy 2020; 5(1): 20. DOI: 10.1007/s40866-020-00093-5.

9. [9] Benakcha, M, Benalia, L, Ameur, F, Tourqui, D. Control of dual stator induction generator integrated in wind energy conversion system. Journal of Energy Systems 2017; 1(1): 21-31. DOI: 10.30521/jes.351269.
10. [10] Çakır, MT. Wind Energy Potential of Turkey and its Place in EU Countries. Journal of Polytechnics 2010; 13(4): 287-293. DOI: 10.2339/2010.13.4, 287-293.
11. [11] Emeksiz, C, Doğan, Z, Gökrem, L, Yavuz, AH. Analyzing The Wind Characteristics of Tokat Region With Statistical Methods, Journal of Polytechnics 2016; 19(4): 481-489. DOI: 10.2339/2016.19.4 481-489.
12. [12] Yiğit, F, Kabul, A. Economic analysis of utilizing wind energy to supply electricity demand of a domicile in Isparta region. Electronic Journal of Machine Technologies 2014; 11(2): 1-9.
13. [13] Öner, Y, Özçıra, S, Bekiroğlu, N, Şenol İ. A comparative analysis of wind power density prediction methods for Çanakkale, Intepe region, Turkey. Renewable and Sustainable Energy Reviews 2013; 23: 491-502. DOI: https://doi.org/10.1016/j.rser.2013.01.052.
14. [14] Aslan, A. Investigation of Balikesir wind energy potential and comparison of the turbines based on the economical analysis. Journal of Thermal Science and Technology 2018; 38(1): 25-41.
15. [15] Bayramoğlu, T. Renewable energy potential and effects: Bayburt sample. Journal of Business Economics and Management Research 2018; 1(1): 1-16.
16. [16] Mamur, H, Karayel, M. Evaluation of wind energy potential in Havza-Samsun. Turkey. Omer Halisdemir University Journal of Engineering Sciences 2018; 7(1): 316-323.
17. [17] Akan, AP, Akan, AE. Determination of Tekirdağ (Turkey) wind energy potential and evaluation of selected wind turbines in terms of techno-economic and environmental aspects. Journal of Renewable and Sustainable Energy 2021; 13: 033309. DOI: 10.1063/5.0053871.
18. [18] Arıkan, Y, Çam, E. Implementation of feasibility analysis of wind and solar energy on the web base. International Journal of Engineering Research and Development 2017; 9(1): 1-10. DOI: 10.29137/umagd.346161>.
19. [19] Haralambopoulos, DA. Analysis of wind characteristics and potential in the east Mediterranean-the Lesvos Case. Renewable Energy 1995; 6: 445-454. DOI:10.1016/0960-1481(94)00073-F >.
20. [20] Akpinar, EK, Akpinar, S. Determination of the wind energy potential for Maden-Elazığ, Turkey, Energy Conversion and Management 2004; 45: 2901-2914. DOI: 10.1016/j.enconman.2003.12.016.
21. [21] Ülgen, K, Hepbaslı, A. Determination of Weibull parameters for wind energy analysis of İzmir, Turkey, International Journal of Energy Research 2002; 26: 495-506. https://doi.org/10.1002/er.798.