Article | Proceedings of The 9th EUROSIM Congress on Modelling and Simulation, EUROSIM 2016, The 57th SIMS Conference on Simulation and Modelling SIMS 2016 | Cascade Optimization using Controlled Random Search Algorithm and CFD Techniques for ORC Application Linköping University Electronic Press Conference Proceedings
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Title:
Cascade Optimization using Controlled Random Search Algorithm and CFD Techniques for ORC Application
Author:
Ramiro G. Ramirez Camacho: Mechanical Engineering Institute, UNIFEI - Federal University of Itajubá,Itajubá, Brazil Edna R. da Silva: Future Energy Center, MDH Mälardalen University, Västerås, Sweden Konstantinos G. Kyprianidis: Future Energy Center, MDH Mälardalen University, Västerås, Sweden Oliver Visconti: Mechanical Engineering Institute,UNIFEI - Federal University of Itajubá, Itajubá, Brazil
DOI:
10.3384/ecp17142890
Download:
Full text (pdf)
Year:
2018
Conference:
Proceedings of The 9th EUROSIM Congress on Modelling and Simulation, EUROSIM 2016, The 57th SIMS Conference on Simulation and Modelling SIMS 2016
Issue:
142
Article no.:
131
Pages:
890-897
No. of pages:
8
Publication type:
Abstract and Fulltext
Published:
2018-12-19
ISBN:
978-91-7685-399-3
Series:
Linköping Electronic Conference Proceedings
ISSN (print):
1650-3686
ISSN (online):
1650-3740
Publisher:
Linköping University Electronic Press, Linköpings universitet


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This paper presents the methodology for performance optimization of a steam turbine cascade using CFD techniques for ORC (Organic Rankine Cycle) application. The steam turbine cascade is parameterized to achieve the maximum efficiency while using different organic fluids. The main objective of this work is to attain the maximization Cl /Cd ratio from a preliminary design. The approach to finding the maximum Cl /Cd ratio is based in optimization algorithms. The CRSA (Controlled Random Search Algorithm) was chosen for the optimization process. The optimization algorithm (CRSA) is integrated with CFD techniques, using automatic building schemes of parameterized geometries and meshes via “script files” with editing commands written in Tlc/Tk language, which will be interpreted by the commercial software ICEM-CFD®, in batch mode. Finally, for the numerical calculation, the commercial software FLUENT® is used with fluid properties, real gas model, turbulence model and boundary conditions set through “journal files”. In this paper, R245fa and Toluene are used as working fluids. Results of drag, lift and pressure distribution are reported. This methodology allows making corrections in the initial project of the cascade shape.

Keywords: ORC, optimization, CFD, CRSA, turbomachinery, real gas, equations of state

Proceedings of The 9th EUROSIM Congress on Modelling and Simulation, EUROSIM 2016, The 57th SIMS Conference on Simulation and Modelling SIMS 2016

Author:
Ramiro G. Ramirez Camacho, Edna R. da Silva, Konstantinos G. Kyprianidis, Oliver Visconti
Title:
Cascade Optimization using Controlled Random Search Algorithm and CFD Techniques for ORC Application
DOI:
http://dx.doi.org/10.3384/ecp17142890
References:
No references available

Proceedings of The 9th EUROSIM Congress on Modelling and Simulation, EUROSIM 2016, The 57th SIMS Conference on Simulation and Modelling SIMS 2016

Author:
Ramiro G. Ramirez Camacho, Edna R. da Silva, Konstantinos G. Kyprianidis, Oliver Visconti
Title:
Cascade Optimization using Controlled Random Search Algorithm and CFD Techniques for ORC Application
DOI:
https://doi.org10.3384/ecp17142890
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Last updated: 2019-10-02