Improving the Design of Blade for Horizontal Axis Wind Turbine with QBlade Software

Year 2022, Volume: 2 Issue: 1, 16 - 23, 30.06.2022

Prasun Bhattacharjee , Rabin K. Jana Somenath Bhattacharya

Abstract

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.

Keywords

Blade, Horizontal Axis, NREL, QBlade Software, Wind Turbine

Thanks

The first author acknowledges the economic support of the TEQIP section of Jadavpur University for sustaining the present study.

References

• [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.
• [9] P. Bhattacharjee, R. K. Jana and S. Bhattacharya, "An Enhanced Genetic Algorithm for Annual Profit Maximization of Wind Farm," Journal of Information Systems & Operations Management, vol. 15, no. 2, 2021.
• [10] P. Bhattacharjee, R. K. Jana and S. Bhattacharya, "An Enriched Genetic Algorithm for Expanding the Yearly Profit of Wind Farm," in Second International Symposium on Intelligence Design (ISID 2022), Tokyo, Japan, 2022.
• [11] P. Bhattacharjee, R. K. Jana and S. Bhattacharya, "Augmenting the Yearly Profit of Wind Farm," in The 14th Regional Conference on Electrical and Electronics Engineering of Chulalongkorn University, Bangkok, Thailand, 2022.
• [12] P. Bhattacharjee, R. K. Jana and S. Bhattacharya, "An Improved Genetic Algorithm for Yearly Profit Maximization of Wind Power Generation System," in The 31st ACM SIGDA University Demonstration, New York, USA, 2021.
• [13] P. Bhattacharjee, R. K. Jana and S. Bhattacharya, "Maximizing the Yearly Profit of an Indian Nearshore Wind Farm," in First International Conference on Applied Engineering and Natural Sciences, Konya, Turkey, 2021.
• [14] P. Bhattacharjee, R. K. Jana and S. Bhattacharya, "Multi-Objective Design Optimization of Wind Turbine Blade Bearing," Invertis Journal of Science & Technology, vol. 14, no. 3, pp. 114-121, 2021.
• [15] P. Bhattacharjee, R. K. Jana and S. Bhattacharya, "Optimizing Offshore Wind Power Generation Cost in India," in Third New England Chapter of AIS (NEAIS) Conference, Boston, Massachusetts, 2021.
• [16] P. Bhattacharjee, R. K. Jana and S. Bhattacharya, "Realizing The Optimal Wind Power Generation Cost in Kayathar Region of India," in International Conference on Information, Communication and Multimedia Technology - 2021 (ICICMT - 2021), Madurai, 2021.
• [17] G. Van Bussel and A. Henderson, "State of the Art and Technology Trends for Offshore Wind Energy: Operation and Maintenance Issues," in In Proceedings of offshore wind energy special topic conference, Brussels, Belgium, 2001.
• [18] P. J. Tavner, J. Xiang and F. Spinato, "Improving the reliablity of wind turbine generation and its impact on overall distribution network reliablity," in 18th International Conference on Electricity Distribution (CIRED 2005), 2005.
• [19] M. M. Shokrieh and R. Rafiee, "Simulation of fatigue failure in a full composite wind turbine blade," Composite Structures, vol. 74, no. 3, pp. 332-342, 2006.
• [20] M. Alaskari, O. Abdullah and M. H. Majeed, "Analysis of wind turbine using QBlade software," in IOP conference series: materials science and engineering, 2019.