Optimal Design of ORC Turbine Blades Under Geometric and Operational Uncertainties

Nassim Razaaly 1 Giacomo Persico 2 Pietro Congedo 1
1 DeFI - Shape reconstruction and identification
Inria Saclay - Ile de France, CMAP - Centre de Mathématiques Appliquées - Ecole Polytechnique
Abstract : Typical energy sources for Organic Rankine Cycle (ORC) power systems feature variable heat load, hence turbine inlet/outlet thermodynamic conditions. The use of organic compounds with heavy molecular weight introduces uncertainties in the fluid thermodynamic modeling and complexity in the turbomachinery aerodynamics, with supersonic flows and strong shocks, which grow in relevance in the aforementioned off-design conditions. These features also depend strongly on the local blade shape, which can be influenced by the geometric tolerances of the blade manufacturing. This study presents a Robust Optimization (RO) analysis on a typical supersonic nozzle cascade for ORC applications under the combined effect of uncertainties associated to operating conditions and geometric tolerances: a classical formulation consisting in minimizing the mean of a well-suited performance function, constraining the average mass flow rate to be within a prescribed range is addressed, by means of a bi-level Gaussian Process (GP) surrogate-based approach. Influence of the operating conditions range and geometric variability are investigated considering several scenarios, in which the different effects act in combination or separated; results indicate that the combination of different classes of uncertainites has an impact on the robust-optimal blade shape and, in turn, in their response in the frame of uncertain scenarios.
Document type :
Conference papers
Complete list of metadatas

Cited literature [19 references]  Display  Hide  Download

https://hal.inria.fr/hal-02389654
Contributor : Nassim Razaaly <>
Submitted on : Monday, December 2, 2019 - 3:56:46 PM
Last modification on : Wednesday, December 4, 2019 - 1:20:57 AM

File

9_ORC2019_geoRO_300619.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : hal-02389654, version 1

Citation

Nassim Razaaly, Giacomo Persico, Pietro Congedo. Optimal Design of ORC Turbine Blades Under Geometric and Operational Uncertainties. 5th International Seminar on ORC Power Systems 2019, Sep 2019, Athens, Greece. ⟨hal-02389654⟩

Share

Metrics

Record views

23

Files downloads

32