Abstract
The fluid dynamic preliminary design of unconventional turbomachinery is customary done with meanline design procedures coupled with gradient-free optimizers. This method features various drawbacks, since it might become computationally expensive, and it does not provide design insights or guidelines to the designer. This work proposes a strategy to abate this disadvantages, namely, the construction of a reduced-order model by means of active sub-spaces, and the use of the surrogate combined with a gradient-based optimizer. The case study is the design optimization of a Organic Rankine Cycle radial inflow turbine. The results show that active subspaces exist for this application, and that it is possible to construct a surrogate with an approximate error of ±1% for the total-to-static efficiency. Additionally, the optimization using the surrogate leads to accurate results and a computational cost at least four times faster. Furthermore, the results reveal that the models for unconventional turbomachinery feature multiple regions containing constrained optima. Active subspace methods thus prove to be a promising alternative for optimization of unconventional turbomachinery.
Original language | English |
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Title of host publication | ECCOMAS Congress 2016 - Proceedings of the 7th European Congress on Computational Methods in Applied Sciences and Engineering |
Publisher | National Technical University of Athens |
Pages | 8572-8586 |
Number of pages | 15 |
Volume | 4 |
ISBN (Electronic) | 9786188284401 |
Publication status | Published - 2016 |
Event | 7th European Congress on Computational Methods in Applied Sciences and Engineering - Crete, Greece Duration: 5 Jun 2016 → 10 Jun 2016 Conference number: 7 https://www.eccomas2016.org/ |
Conference
Conference | 7th European Congress on Computational Methods in Applied Sciences and Engineering |
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Abbreviated title | ECCOMAS Congress 2016 |
Country/Territory | Greece |
City | Crete |
Period | 5/06/16 → 10/06/16 |
Internet address |
Keywords
- Active subspaces
- Organic rankine cycle
- Surrogate models
- Turbine design