Investigation of horizontal micro kaplan hydro turbine performance using multidisciplinary design optimization

Ahmad I. Abbas, Mohammad D. Qandil, Muhannad Al-Haddad, Ryoichi S. Amano

Research output: Contribution to journalArticlepeer-review

13 Scopus citations

Abstract

This study investigates performance-based design optimization for a Kaplan hydro turbine at a maximum water head of 2.6 m (8.5 ft), a micro-sized horizontal Kaplan turbine with 7.6 cm (3.0 in) diameter that has fixed blades featured to attain the optimum performance for such type and size of hydro turbines. The optimization process includes solving design problems and enhance design development by applying a multi-disciplinary design optimization (MDO) technique. Varying the geometrical parameters of the turbine, i.e., dimensions, number of blades, blade wrap angles, and different rotational speeds (500–3000 rpm), are the relevant proposed disciplines of this study. Two multi-simulation matrices were solved by using the high-performance computing (HPC) cluster of the University of Wisconsin-Milwaukee. The first matrix includes different number of the blades (3, 4, 5, 6, and 7 blades) over six different rotational speeds (500, 1000, 1500, 2000, 2500, and 3000 rpm), while the second matrix includes 121 possible combinations of blade wrap angles starting at 60–60 deg (hub-shroud) angle to 110–110 deg angle with 5 deg increment alternated at both sides, the hub and the shroud.

Original languageEnglish
Article number052101
JournalJournal of Energy Resources Technology, Transactions of the ASME
Volume142
Issue number5
DOIs
StatePublished - May 2020
Externally publishedYes

Funding

The research is funded by the US Department of Energy, Small Business Innovation Research (SBIR)/Small Business Technology Transfer (STTR) (Grant No. DE-SC0015757).

FundersFunder number
U.S. Department of Energy
Small Business Innovation ResearchDE-SC0015757

    Keywords

    • Alternative energy sources
    • CAE
    • CFD
    • Energy conversion/systems
    • Energy systems analysis
    • Hydro
    • Hydro-turbines
    • Kaplan
    • MDO
    • Multidisciplinary-design-optimization

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