Please use this identifier to cite or link to this item: https://oar.tib.eu/jspui/handle/123456789/2490
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Title: Calibration methods for gas turbine performance models
Authors: Borchardt, JürgenMathé, PeterPrintsypar, Galina
Issue Date: 2016
Published in: Technical report // Weierstraß-Institut für Angewandte Analysis und Stochastik , Volume 16, ISSN 1618-7776
Publisher: Berlin : Weierstraß-Institut für Angewandte Analysis und Stochastik
Abstract: The WIAS software package BOP is used to simulate gas turbine models. In order to make accurate predictions the underlying models need to be calibrated. This study compares different strategies of model calibration. These are the deterministic optimization tools as nonlinear least squares (MSO) and the sparsity promoting variant LASSO, but also the probabilistic (Bayesian) calibration. The latter allows for the quantification of the inherent uncertainty, and it gives rise to a surrogate uncertainty measure in the MSO tool. The implementation details are accompanied with a numerical case study, which highlights the advantages and drawbacks of each of the proposed calibration methods.
Keywords: Model calibration; nonlinear least squares; Bayesian calibration; LASSO.
DDC: 510
License: This document may be downloaded, read, stored and printed for your own use within the limits of § 53 UrhG but it may not be distributed via the internet or passed on to external parties.
Dieses Dokument darf im Rahmen von § 53 UrhG zum eigenen Gebrauch kostenfrei heruntergeladen, gelesen, gespeichert und ausgedruckt, aber nicht im Internet bereitgestellt oder an Außenstehende weitergegeben werden.
Appears in Collections:Mathematik



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