| Issue |
EPJ Web Conf.
Volume 344, 2025
AI-Integrated Physics, Technology, and Engineering Conference (AIPTEC 2025)
|
|
|---|---|---|
| Article Number | 01012 | |
| Number of page(s) | 12 | |
| Section | AI-Integrated Physics, Technology, and Engineering | |
| DOI | https://doi.org/10.1051/epjconf/202534401012 | |
| Published online | 22 December 2025 | |
https://doi.org/10.1051/epjconf/202534401012
Enhancing the efficiency of a gravitational water vortex turbine through blade length and exit angle optimization
1 Department of Automotive Engineering Technology, Universitas Negeri Surabaya, Ketintang, Surabaya, 60231, Indonesia
2 Department of Mechanical Engineering, Malang State Polytechnic, Jl. Soekarno Hatta No.9, Malang, 65141 Indonesia
3 Departement of Electrical Engineering, Universitas Negeri Surabaya, Ketintang, Surabaya, 60231, Indonesia
4 Departement of Mechanical and Energy, Politeknik Elektronika Negeri Surabaya, Jl. Raya ITS Sukolilo Surabaya 6011, Indonesia
* Corresponding author: lailatusarifianti@unesa.ac.id
Published online: 22 December 2025
GWVTs make possible micro-hydropower at ultra-low heads where conventional turbines are impractical. This study targets the persistent gap of suboptimal runner design and outlet losses through the optimization of a radial closed-hub GWVT for reliable high-efficiency operation under low head. The contribution of this research is a compact, reproducible CFD-Taguchi L9 workflow ranking runner parameters by importance, linking vortex descriptors to performance; the research contribution is an engineering design map (N, L, β₁, β₂) that can be directly applied at low-head sites. Methods include the use of free-surface CFD (VOF, steady RANS k–ε, MRF) together with a mesh-independence study and a Taguchi L9 array to span the number of blades, N, blade length, L, entry angle, β₁, and exit angle, β₂. Simulations were run at Q ≈ 0.6 m³/s and H ≈ 0.86 m; torque/efficiency and flow fields (λ₂ iso-surfaces, VOF α=0.5) were analyzed. Results indicate torque plateaus from ≥0.8 million cells; a ≈2.22-million-cell grid offers a sound accuracy-cost trade-off. The main-effects ranking is L > β₂ > N ≈ β₁. The optimum (N=13, L=45°, β₁=11.51°, β₂=3°) provides 628 N·m and ≈58.8% efficiency (≈+89% torque vs. baseline), along with a deeper, more axisymmetric core with cleaner discharge. This implies that the most effective levers for performance are lengthening the blades and minimizing the exit angle. This workflow now provides a practical path to robust design. Confirmation runs, URANS/LES, and prototype testing will follow in due course, and generalization to field conditions will be carried out.
© The Authors, published by EDP Sciences, 2025
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