GivEn -- Shape Optimization for Gas Turbines in Volatile Energy Networks

This paper describes the project GivEn that develops a novel multicriteria optimization process for gas turbine blades and vanes using modern "adjoint" shape optimization algorithms. Given the many start and shut-down processes of gas power plants in volatile energy grids, besides optimizi...

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Published inarXiv.org
Main Authors Backhaus, Jan, Bolten, Matthias, Onur Tanil Doganay, Ehrhardt, Matthias, Engel, Benedikt, Frey, Christian, Gottschalk, Hanno, Günther, Michael, Hahn, Camilla, Jäschke, Jens, Jaksch, Peter, Klamroth, Kathrin, Liefke, Alexander, Luft, Daniel, Lucas Mäde, Marciniak, Vincent, Reese, Marco, Schultes, Johanna, Schulz, Volker, Schmitz, Sebastian, Steiner, Johannes, Stiglmayr, Michael
Format Paper
LanguageEnglish
Published Ithaca Cornell University Library, arXiv.org 20.02.2020
Subjects
Algorithms
Computer simulation
Electric power generation
Electric power grids
Gas turbine engines
Multiple criterion
Optimization
Pareto optimization
Plant shutdowns
Power plants
Shape optimization
Turbine blades
Vanes
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Summary:This paper describes the project GivEn that develops a novel multicriteria optimization process for gas turbine blades and vanes using modern "adjoint" shape optimization algorithms. Given the many start and shut-down processes of gas power plants in volatile energy grids, besides optimizing gas turbine geometries for efficiency, the durability understood as minimization of the probability of failure is a design objective of increasing importance. We also describe the underlying coupling structure of the multiphysical simulations and use modern, gradient based multicriteria optimization procedures to enhance the exploration of Pareto-optimal solutions.
ISSN:2331-8422