MULTISCALE MODELING OF FLUID-STRUCTURE INTERACTION IN WIND TURBINE BLADES TO IMPROVE ENERGY CONVERSION EFFICIENCY IN RENEWABLE SYSTEMS
Abstract
The increasing demand for renewable electricity drives the need to improve wind turbine efficiency under complex aerodynamic and structural conditions. Numerical approaches often separate airflow analysis and structural response, thus reducing the accuracy of predicting aeroelastic behavior. This study aims to analyze the effectiveness of multiscale fluid-structure interaction (FSI) modeling in improving wind turbine blade performance through integrated aerodynamic, structural, and material analysis. Using a mixed-method sequential explanatory design, the study tested 2,800 simulation scenarios on 48 blade configurations under varying wind speeds, turbulence intensities, and composite material properties. Quantitative analysis included multivariate statistics and hierarchical regression, while qualitative thematic analysis was drawn from expert interviews and engineering workshops. Results show that a fully coupled multiscale FSI model consistently outperforms conventional approaches in improving aerodynamic efficiency, computational convergence, structural stability, vibration damping, and fatigue life prediction. Composite material optimization enhanced structural robustness under dynamic conditions. This framework provides practical guidance for designers and engineers to optimize renewable energy conversion through advanced multiphysics simulations.
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References
Chen, M., Li, S., Sun, Y., Zhao, Y., & Wang, R. (2025). MODWT-based multiscale wavelet LQR strategy and active-inerter tuned mass damper for structural vibration control of floating offshore wind turbines. Ocean Engineering, 336, 121678. https://doi.org/https://doi.org/10.1016/j.oceaneng.2025.121678
Chen, X., Chen, A., Zhang, L., Yu, H., Mao, Z., Chen, Y., Gu, J., Yan, C., & Lu, J. (2025). Additive manufacturing of bionic interfaces: From conceptual understanding to renewable energy applications. Advanced Bionics, 1(1), 57–82. https://doi.org/https://doi.org/10.1016/j.abs.2024.10.001
Cheng, X., Du, B., He, J., Long, W., Su, G., Liu, J., Fan, Z., & Chen, L. (2025). A review of thermoplastic composites on wind turbine blades. Composites Part B: Engineering, 299, 112411. https://doi.org/https://doi.org/10.1016/j.compositesb.2025.112411
De Luca Peña, L. V., Taelman, S. E., Bas, B., Staes, J., Mertens, J., Clavreul, J., Préat, N., & Dewulf, J. (2024). Monetized (socio-)environmental handprint and footprint of an offshore windfarm in the Belgian Continental Shelf: An assessment of local, regional and global impacts. Applied Energy, 353, 122123. https://doi.org/https://doi.org/10.1016/j.apenergy.2023.122123
Dincer, I., & Zamfirescu, C. (2025). 1.16 - Thermodynamic aspects of energy (I. B. T.-C. E. S. (Second E. Dincer (ed.); pp. 490–550). Elsevier. https://doi.org/https://doi.org/10.1016/B978-0-44-313219-3.00033-2
Ding, H., Zhang, Z., Wang, J., Zhang, J., & Altay, O. (2024). Multiscale fluid–structure coupled real-time hybrid simulation of monopile wind turbines with vibration control devices. Mechanical Systems and Signal Processing, 215, 111439. https://doi.org/https://doi.org/10.1016/j.ymssp.2024.111439
Esquivel-Puentes, H. A., Vacca, A., Pulletikurthi, V., Doosttalab, A., Garcia-Bravo, J., Warsinger, D. M., Chamorro, L. P., & Castillo, L. (2023). On the design and power output response of hydraulic wind turbines. Energy Conversion and Management, 293, 117425. https://doi.org/https://doi.org/10.1016/j.enconman.2023.117425
Evro, S., Veith, J., Akinwale, A., & Tomomewo, O. S. (2025). Enhancing floating offshore wind turbine systems through multi-scale coupled modeling. Sustainable Energy Technologies and Assessments, 77, 104299. https://doi.org/https://doi.org/10.1016/j.seta.2025.104299
Gouesbet, G. (2024). T-matrix methods for electromagnetic structured beams: A commented reference database for the period 2019–2023. Journal of Quantitative Spectroscopy and Radiative Transfer, 322, 109015. https://doi.org/https://doi.org/10.1016/j.jqsrt.2024.109015
Habibi, P., Abad, F., Dai, S., Mehmanparast, A., & Lotfian, S. (2025). Failure analysis of tidal turbine blades: understanding erosion mechanisms and their impact on structural integrity. Engineering Failure Analysis, 182, 110045. https://doi.org/https://doi.org/10.1016/j.engfailanal.2025.110045
Hu, B., Li, K., Wu, Y., Xu, M., Huang, Y., Niu, Q., Liu, J., Fang, Z., & Lu, Q. (2025). Chapter 17 - Current bottlenecks and future directions of thermochemical conversion of biomass and organic solid wastes. In Y. Hu, N. Zhou, S. Wang, & J. B. T.-T. C. of B. F. and S. W. into B. Yan (Eds.), Woodhead Series in Bioenergy (pp. 331–350). Woodhead Publishing. https://doi.org/https://doi.org/10.1016/B978-0-443-29291-0.00017-X
Huang, W., Tang, R., & Ma, H. (2024). The review of Vortex lattice method for offshore wind turbines. Renewable Energy, 236, 121450. https://doi.org/https://doi.org/10.1016/j.renene.2024.121450
Huda, N., Zaki, A., Chai, N., & Shofiah, S. (2025). Ferroelectric Thin Films for Neuromorphic Computing: Synthesis, Characterization, and Device Integration. Research of Scientia Naturalis, 2(4), 162–175. https://doi.org/10.70177/scientia.v2i4.2385
Ji, J., Zhang, C., Zhang, X., & Chen, Y. (2025). Recent research advances in wind turbine thermal management technologies. Renewable and Sustainable Energy Reviews, 208, 114983. https://doi.org/https://doi.org/10.1016/j.rser.2024.114983
Khan, S. A., Hussain, I., Thakur, A. K., Yu, S., Lau, K. T., He, S., Dong, K., Chen, J., Xiangrong, L. I., Ahmad, M., & Zhao, J. (2024). Advancements in battery thermal management system for fast charging/discharging applications. Energy Storage Materials, 65, 103144. https://doi.org/https://doi.org/10.1016/j.ensm.2023.103144
Kondaiah, P., & Pitchumani, R. (2023). Progress and opportunities in corrosion mitigation in heat transfer fluids for next-generation concentrating solar power. Renewable Energy, 205, 956–991. https://doi.org/https://doi.org/10.1016/j.renene.2023.01.044
Leon-Medina, J. X., Tibaduiza, D. A., Parés, N., & Pozo, F. (2025). Digital twin technology in wind turbine components: A review. Intelligent Systems with Applications, 26, 200535. https://doi.org/https://doi.org/10.1016/j.iswa.2025.200535
Milfont, L. D., de Carvalho Ferreira, G. T., & Giesbrecht, M. (2025). Fault diagnosis in electric machines and propellers for electrical propulsion aircraft: A review. Engineering Applications of Artificial Intelligence, 139, 109577. https://doi.org/https://doi.org/10.1016/j.engappai.2024.109577
Munirathinam, P., Anna Mathew, A., Shanmugasundaram, V., Vivekananthan, V., Purusothaman, Y., Kim, S.-J., & Chandrasekhar, A. (2023). A comprehensive review on triboelectric nanogenerators based on Real-Time applications in energy harvesting and Self-Powered sensing. Materials Science and Engineering: B, 297, 116762. https://doi.org/https://doi.org/10.1016/j.mseb.2023.116762
Nampira, A. A., Mendes, C., & Costa, T. (2025). Comparative Analysis of Smart Catalysts for CO? Reduction: From Molecular Design to Lab-Scale Performance. Research of Scientia Naturalis, 2(4), 189–202. https://doi.org/10.70177/scientia.v2i4.2388
Nazarian-Samani, M., A. Alidokht, S., Therien-Aubin, H., & Zhang, L. (2025). Mechanical structure design: A survey on modern triboelectric nanogenerators. Applied Energy, 391, 125918. https://doi.org/https://doi.org/10.1016/j.apenergy.2025.125918
Parvez, M. M. H., Rahman, M. M., Ferdush, J., Mohotadi, M. A. Al, Mondal, J., & Uddin, M. N. (2025). State-of-the-art nanocomposites: Tailoring material properties for next-generation applications. Next Research, 2(4), 100865. https://doi.org/https://doi.org/10.1016/j.nexres.2025.100865
Peláez-Zapata, D., Pakrashi, V., & Dias, F. (2025). Ocean wave measurements for marine renewable energy applications. Renewable and Sustainable Energy Reviews, 219, 115828. https://doi.org/https://doi.org/10.1016/j.rser.2025.115828
Prihadi, D. J., Akhtar, S., & Ali, Z. (2025). Impact of Climate Change on Marine Biodiversity and Fisherie. Research of Scientia Naturalis, 2(1), 20–29. https://doi.org/10.70177/scientia.v2i1.2007
Prihadi, D. J., Yovita, Fariq, A., & Bakti, I. (2025). Ecological Restoration Techniques for Coastal Ecosystems Affected by Human Activities. Research of Scientia Naturalis, 2(1), 1–10. https://doi.org/10.70177/scientia.v2i1.2004
Rahimifard, R., Jabari, F., & Foroud, A. A. B. T.-R. M. in M. S. and M. E. (2025). Harnessing multienergy systems for sustainable energy and grid resilience. Elsevier. https://doi.org/https://doi.org/10.1016/B978-0-443-29210-1.00033-9
Riley, D.-K., Chen, Y., Lu, C., Mohagheghian, I., Hassanin, H., & Sareh, P. (2025). Morphing structural materials used in wind turbine blades. Renewable and Sustainable Energy Reviews, 216, 115618. https://doi.org/https://doi.org/10.1016/j.rser.2025.115618
Seifi Davari, H., Seify Davari, M., & Ntantis, E. L. (2025). A review on the design and optimization of lift-based hydrokinetic turbines: Darrieus, Gorlov, and helical types. Results in Engineering, 28, 107746. https://doi.org/https://doi.org/10.1016/j.rineng.2025.107746
Stanley, A. O., Rusnáková, S., Ogunleye, R. O., & Ajayi, N. E. (2025). Optimization of compression moulding technology for laminar composites: An overview. Next Research, 2(4), 101027. https://doi.org/https://doi.org/10.1016/j.nexres.2025.101027
Tavakoli, S., Singh, M., Hosseinzadeh, S., Hu, Z., Shao, Y., Wang, S., Huang, L., Grammatikopoulos, A., Li, Y. P., Khojasteh, D., Liu, J., Dolatshah, A., Cheng, H., & Hirdaris, S. (2025). A review of flexible fluid-structure interactions in the ocean: Progress, challenges, and future directions. Ocean Engineering, 342, 122545. https://doi.org/https://doi.org/10.1016/j.oceaneng.2025.122545
Wang, H., Li, C., Tan, X., Lu, X., Zhu, Z., Xu, R., Liu, X., & Wang, Z. (2024). Multi-timescale analysis and quantification of dynamic regulation characteristics of DFIM-based variable-speed pumped storage units in alleviating wind power fluctuations. Journal of Energy Storage, 88, 111482. https://doi.org/https://doi.org/10.1016/j.est.2024.111482
Wu, Y., Dong, L., Shu, X., Yang, Y., Feng, P., & Ran, Q. (2023). Recent advancements in photothermal anti-icing/deicing materials. Chemical Engineering Journal, 469, 143924. https://doi.org/https://doi.org/10.1016/j.cej.2023.143924
Yakubu, A. U., Qingsheng, L., Kai, M., Jinwei, C., Mohammed, O. A. A., Zhao, J., Jiang, Q., Ye, X., Liu, J., Yu, Q., Aurangzeb, M., & Xiong, S. (2025). Modeling, optimization, and thermal management strategies of hydrogen fuel cell systems. Results in Engineering, 27, 105924. https://doi.org/https://doi.org/10.1016/j.rineng.2025.105924
Yi, H., Liu, Y., Cao, H., Luo, J., Dong, X., An, J., & Chua, C. K. (2025). Material and process integrated innovations in Aerosol Jet Printing: A review. Materials Today, 91, 431–458. https://doi.org/https://doi.org/10.1016/j.mattod.2025.11.001
Yovita, Lek, S., & Kiat, T. (2025). Microbial Contributions to Soil Health and Crop Yield in Organic Farming Systems. Research of Scientia Naturalis, 2(1), 11–19. https://doi.org/10.70177/scientia.v2i1.2005
Zani, B. N., Rith, V., & Dara, R. (2025). AI-Augmented Spectroscopy for Early Detection of Cervical Cancer Biomarkers. Research of Scientia Naturalis, 2(4), 176–188. https://doi.org/10.70177/scientia.v2i4.2387
Zhang, X., Wang, B., Zhang, F., Wu, K., Li, Y., Li, B., & Jiao, K. (2025). Transient modeling and control strategies for WT-PV integrated hydrogen production system. International Journal of Heat and Mass Transfer, 244, 126918. https://doi.org/https://doi.org/10.1016/j.ijheatmasstransfer.2025.126918
Zhang, Z., & Yin, J. (2025). Incremental principal component analysis based depthwise separable Unet model for complex wind system forecasting. Energy, 334, 137751. https://doi.org/https://doi.org/10.1016/j.energy.2025.137751
Zhou, D., & Huang, D. (2024). A review on the progress, challenges and prospects in the modeling, simulation, control and diagnosis of thermodynamic systems. Advanced Engineering Informatics, 60, 102435. https://doi.org/https://doi.org/10.1016/j.aei.2024.102435
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