Robust Optimization of ORC blades turbines under a low quantile constraint
| hal.structure.identifier | Certified Adaptive discRete moDels for robust simulAtions of CoMplex flOws with Moving fronts [CARDAMOM] | |
| dc.contributor.author | RAZAALY, Nassim | |
| hal.structure.identifier | Politecnico di Milano [Milan] [POLIMI] | |
| dc.contributor.author | PERSICO, Giacomo | |
| hal.structure.identifier | Certified Adaptive discRete moDels for robust simulAtions of CoMplex flOws with Moving fronts [CARDAMOM] | |
| dc.contributor.author | CONGEDO, Pietro Marco | |
| dc.date.accessioned | 2024-04-04T03:07:12Z | |
| dc.date.available | 2024-04-04T03:07:12Z | |
| dc.date.conference | 2017-09-13 | |
| dc.identifier.uri | https://oskar-bordeaux.fr/handle/20.500.12278/193412 | |
| dc.description.abstractEn | Heat sources for ORC turbines typically feature variable energy sources such as WHR (Waste Heat Recovery) and solar energy. Advanced uncertainty quantification and robust optimization methodologies could be used during the ORC turbines design process in order to account for multiple uncertainties. This study presents an original robust shape optimization approach for ORC blade turbines, to overcome the limitation of a deterministic optimization that neglects the effect of uncertainties of operating conditions or design variables. Starting from a baseline blade, we search for an optimal shape that maximizes the 5% quantile of the expander isentropic efficiency, which is evaluated by means of an Euler 2D simulation. Real-gas effects are modeled through the use of a Peng-Robinson-Stryjek-Vera equation of state. The 5% quantile of the expander isentropic efficiency is estimated using a tail probability strategy: points are iteratively added on the failure branches in order to build a reliable metamodel from which a Monte-Carlo sampling method is used. In order to speed-up the optimization process, an additional Gaussian Process model is built to approximate the isentropic efficiency. The robustly optimized ORC turbine shape is finally compared to the initial configuration and the deterministic optimal shape. | |
| dc.language.iso | en | |
| dc.title.en | Robust Optimization of ORC blades turbines under a low quantile constraint | |
| dc.type | Communication dans un congrès | |
| dc.subject.hal | Physique [physics]/Physique [physics]/Dynamique des Fluides [physics.flu-dyn] | |
| bordeaux.hal.laboratories | Institut de Mathématiques de Bordeaux (IMB) - UMR 5251 | * |
| bordeaux.institution | Université de Bordeaux | |
| bordeaux.institution | Bordeaux INP | |
| bordeaux.institution | CNRS | |
| bordeaux.conference.title | ORC International Conference 2017 - 4th International Seminar on Organic Rankine Cycle Power Systems | |
| bordeaux.country | IT | |
| bordeaux.conference.city | Milano | |
| bordeaux.peerReviewed | oui | |
| hal.identifier | hal-01670994 | |
| hal.version | 1 | |
| hal.invited | non | |
| hal.proceedings | oui | |
| hal.conference.end | 2017-09-15 | |
| hal.popular | non | |
| hal.audience | Internationale | |
| hal.origin.link | https://hal.archives-ouvertes.fr//hal-01670994v1 | |
| bordeaux.COinS | ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.au=RAZAALY,%20Nassim&PERSICO,%20Giacomo&CONGEDO,%20Pietro%20Marco&rft.genre=unknown |
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