Wang, P;
Vera-Morales, M;
Vollmer, M;
Zangeneh, M;
Zhu, BS;
Ma, Z;
(2019)
Optimisation of a pump-as-turbine runner using a 3D inverse design methodology.
In:
IOP Conference Series: Earth and Environmental Science.
(pp. 042005).
IOP: Kyoto, Japan.
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Abstract
In this paper the optimisation of a pump-as-turbine runner using a 3D inverse design methodology is presented. The baseline design is based on an existing runner designed with TURBOdesign1 by Zhu et al.[1, 2], that was then optimised by the genetic algorithm in Isight. In the work presented here the baseline design will be further optimised by minimizing secondary flow and profile loss factors while keeping the same meridional profile, stacking characteristics and work distribution in pump mode. The performance curves suggest that minimizing the secondary loss factor leads to an increase of the pump mode efficiency, whereas minimizing the profile loss coefficient benefits the turbine mode efficiency. These results strengthen the understanding of the trade-offs involved and provide guidelines for the design of runners for pump-as-turbine applications.
Type: | Proceedings paper |
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Title: | Optimisation of a pump-as-turbine runner using a 3D inverse design methodology |
Event: | 29th IAHR Symposium on Hydraulic Machinery and Systems |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1088/1755-1315/240/4/042005 |
Publisher version: | https://doi.org/10.1088/1755-1315/240/4/042005 |
Language: | English |
Additional information: | Content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI. https://creativecommons.org/licenses/by/3.0/ |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Mechanical Engineering |
URI: | https://discovery-pp.ucl.ac.uk/id/eprint/10077770 |
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