EN
Improving the Design of Blade for Horizontal Axis Wind Turbine with QBlade Software
Öz
As climate change is instigating massive human distress globally, several nations have agreed to minimize the release of greenhouse gases through the effective use of renewable energy resources like wind power through the Paris treaty of 2015 and COP-26 organized in Glasgow, Scotland. The blade is an important part of a wind turbine and its design impacts the efficiency of a wind farm immensely. In this paper, the design optimization of an NREL 5 MW horizontal axis wind turbine has been attempted with QBlade software. The optimized blade design validates improved co-efficient of power and developed stress profile.
Anahtar Kelimeler
Teşekkür
The first author acknowledges the economic support of the TEQIP section of Jadavpur University for sustaining the
present study.
Kaynakça
- [1] B. Obama, "The irreversible momentum of clean energy," Science, vol. 355, no. 6321, pp. 126-129, 2017.
- [2] J. Cousse, R. Wüstenhagen and N. Schneider, "Mixed feelings on wind energy: Affective imagery and local concern driving social acceptance in Switzerland," Energy Research & Social Science, vol. 70, p. 101676, December 2020.
- [3] R. Sitharthan, J. N. Swaminathan and T. Parthasarathy, "Exploration of Wind Energy in India: A Short Review," in 2018 National Power Engineering Conference (NPEC), 2018.
- [4] P. Bhattacharjee, R. K. Jana and S. Bhattacharya, "A Comparative Analysis of Genetic Algorithm and Moth Flame Optimization Algorithm for Multi-Criteria Design Optimization of Wind Turbine Generator Bearing," ADBU Journal of Engineering Technology, vol. 10, 2021.
- [5] P. Bhattacharjee, R. K. Jana and S. Bhattacharya, "A Comparative Study of Dynamic Approaches for Allocating Crossover and Mutation Ratios for Genetic Algorithm-based Optimization of Wind Power Generation Cost in Jafrabad Region in India," in Proceedings of International Conference on “Recent Advancements in Science, Engineering & Technology, and Management", Jaipur, India, 2021.
- [6] P. Bhattacharjee, R. K. Jana and S. Bhattacharya, "A Relative Analysis of Genetic Algorithm and Binary Particle Swarm Optimization for Finding the Optimal Cost of Wind Power Generation in Tirumala Area of India," ITM Web of Conferences, p. 03016, 2021.
- [7] P. Bhattacharjee, R. K. Jana and S. Bhattacharya, "A Relative Assessment of Genetic Algorithm and Binary Particle Swarm Optimization Algorithm for Maximizing the Annual Profit of an Indian Offshore Wind Farm," in Second International Conference on Applied Engineering and Natural Sciences, Konya, Turkey, 2022.
- [8] P. Bhattacharjee, R. K. Jana and S. Bhattacharya, "Amplifying the Financial Sustainability of a Wind Farm near the Coast of Gujarat with an Augmented Genetic Algorithm," in International Symposium on Information & Communication Technology 2022, Greater Noida, India, 2022.
Ayrıntılar
Birincil Dil
İngilizce
Konular
Yapay Zeka
Bölüm
Araştırma Makalesi
Yayımlanma Tarihi
30 Haziran 2022
Gönderilme Tarihi
28 Nisan 2022
Kabul Tarihi
11 Mayıs 2022
Yayımlandığı Sayı
Yıl 2022 Cilt: 2 Sayı: 1
APA
Bhattacharjee, P., Jana, R. K., & Bhattacharya, S. (2022). Improving the Design of Blade for Horizontal Axis Wind Turbine with QBlade Software. Journal of Artificial Intelligence and Data Science, 2(1), 16-23. https://izlik.org/JA69DU94TF
AMA
1.Bhattacharjee P, Jana RK, Bhattacharya S. Improving the Design of Blade for Horizontal Axis Wind Turbine with QBlade Software. Journal of Artificial Intelligence and Data Science. 2022;2(1):16-23. https://izlik.org/JA69DU94TF
Chicago
Bhattacharjee, Prasun, Rabin K. Jana, ve Somenath Bhattacharya. 2022. “Improving the Design of Blade for Horizontal Axis Wind Turbine with QBlade Software”. Journal of Artificial Intelligence and Data Science 2 (1): 16-23. https://izlik.org/JA69DU94TF.
EndNote
Bhattacharjee P, Jana RK, Bhattacharya S (01 Haziran 2022) Improving the Design of Blade for Horizontal Axis Wind Turbine with QBlade Software. Journal of Artificial Intelligence and Data Science 2 1 16–23.
IEEE
[1]P. Bhattacharjee, R. K. Jana, ve S. Bhattacharya, “Improving the Design of Blade for Horizontal Axis Wind Turbine with QBlade Software”, Journal of Artificial Intelligence and Data Science, c. 2, sy 1, ss. 16–23, Haz. 2022, [çevrimiçi]. Erişim adresi: https://izlik.org/JA69DU94TF
ISNAD
Bhattacharjee, Prasun - Jana, Rabin K. - Bhattacharya, Somenath. “Improving the Design of Blade for Horizontal Axis Wind Turbine with QBlade Software”. Journal of Artificial Intelligence and Data Science 2/1 (01 Haziran 2022): 16-23. https://izlik.org/JA69DU94TF.
JAMA
1.Bhattacharjee P, Jana RK, Bhattacharya S. Improving the Design of Blade for Horizontal Axis Wind Turbine with QBlade Software. Journal of Artificial Intelligence and Data Science. 2022;2:16–23.
MLA
Bhattacharjee, Prasun, vd. “Improving the Design of Blade for Horizontal Axis Wind Turbine with QBlade Software”. Journal of Artificial Intelligence and Data Science, c. 2, sy 1, Haziran 2022, ss. 16-23, https://izlik.org/JA69DU94TF.
Vancouver
1.Prasun Bhattacharjee, Rabin K. Jana, Somenath Bhattacharya. Improving the Design of Blade for Horizontal Axis Wind Turbine with QBlade Software. Journal of Artificial Intelligence and Data Science [Internet]. 01 Haziran 2022;2(1):16-23. Erişim adresi: https://izlik.org/JA69DU94TF