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A row-by-row axial turbine process model based on a one-dimensional thermofluid network approach

A detailed turbine process model has been developed, based on a stage-by-stage discretisation using 1D flow elements. The complete turbine is represented by these flow elements in which the fundamental mass, energy and momentum conservation equations for compressible flow through 1D "stationary chan...

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Main Author: Pottas, Roelof J H
Other Authors: Rousseau, Pieter G
Format: Thesis
Language:English
Published: Department of Mechanical Engineering 2017
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access_status_str Open Access
author Pottas, Roelof J H
author2 Rousseau, Pieter G
author_browse Pottas, Roelof J H
Rousseau, Pieter G
author_facet Rousseau, Pieter G
Pottas, Roelof J H
author_sort Pottas, Roelof J H
collection Thesis
description A detailed turbine process model has been developed, based on a stage-by-stage discretisation using 1D flow elements. The complete turbine is represented by these flow elements in which the fundamental mass, energy and momentum conservation equations for compressible flow through 1D "stationary channels" and 1D "rotating channels" were solved. The required closure relations were obtained from the various loss coefficients for turbine stators, rotors and leakage flows which were characterised using correlations available in the literature. Several of the commonly applied loss calculation methods were investigated. A test case of a real turbine obtained in the literature was used to validate the model. Three models with different discretisation schemes were tested. In each of these schemes the stator and rotor flow passages were represented by a different number of elements along the radial direction. A number of hypothetical anomalies that often occur in industrial turbines were applied to the test case to demonstrate how the modelling approach can be applied in practice. The model agrees well with the test data for the nominal case and several of the off-design cases. For the nominal case the maximum deviation in total pressure of <2% occurs after the first stage and there is little variation between the results obtained with the three different models. The total enthalpy values are predicted within an accuracy of <1%, again with similar results obtained by the three different models. All three models predict the efficiency well for a broad range of relative mass flow rates. A slight improvement in the prediction of losses is observed in the models that use more elements to represent each stator and rotor passage.
format Thesis
id oai:open.uct.ac.za:11427/23770
institution University of Cape Town (South Africa)
language eng
last_indexed 2026-06-10T12:40:39.841Z
license_str Not specified — see source repository
provenance_str_mv Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository
publishDate 2017
publishDateRange 2017
publishDateSort 2017
publisher Department of Mechanical Engineering
publisherStr Department of Mechanical Engineering
record_format dspace
source_str UCTD — University of Cape Town Open Access Repository
spelling oai:open.uct.ac.za:11427/23770 A row-by-row axial turbine process model based on a one-dimensional thermofluid network approach Pottas, Roelof J H Rousseau, Pieter G Mechanical Engineering A detailed turbine process model has been developed, based on a stage-by-stage discretisation using 1D flow elements. The complete turbine is represented by these flow elements in which the fundamental mass, energy and momentum conservation equations for compressible flow through 1D "stationary channels" and 1D "rotating channels" were solved. The required closure relations were obtained from the various loss coefficients for turbine stators, rotors and leakage flows which were characterised using correlations available in the literature. Several of the commonly applied loss calculation methods were investigated. A test case of a real turbine obtained in the literature was used to validate the model. Three models with different discretisation schemes were tested. In each of these schemes the stator and rotor flow passages were represented by a different number of elements along the radial direction. A number of hypothetical anomalies that often occur in industrial turbines were applied to the test case to demonstrate how the modelling approach can be applied in practice. The model agrees well with the test data for the nominal case and several of the off-design cases. For the nominal case the maximum deviation in total pressure of <2% occurs after the first stage and there is little variation between the results obtained with the three different models. The total enthalpy values are predicted within an accuracy of <1%, again with similar results obtained by the three different models. All three models predict the efficiency well for a broad range of relative mass flow rates. A slight improvement in the prediction of losses is observed in the models that use more elements to represent each stator and rotor passage. 2017-01-31T09:14:03Z 2017-01-31T09:14:03Z 2016 Master Thesis Masters MSc (Eng) http://hdl.handle.net/11427/23770 eng application/pdf Department of Mechanical Engineering Faculty of Engineering and the Built Environment University of Cape Town
spellingShingle Mechanical Engineering
Pottas, Roelof J H
A row-by-row axial turbine process model based on a one-dimensional thermofluid network approach
thesis_degree_str Master's
title A row-by-row axial turbine process model based on a one-dimensional thermofluid network approach
title_full A row-by-row axial turbine process model based on a one-dimensional thermofluid network approach
title_fullStr A row-by-row axial turbine process model based on a one-dimensional thermofluid network approach
title_full_unstemmed A row-by-row axial turbine process model based on a one-dimensional thermofluid network approach
title_short A row-by-row axial turbine process model based on a one-dimensional thermofluid network approach
title_sort row by row axial turbine process model based on a one dimensional thermofluid network approach
topic Mechanical Engineering
url http://hdl.handle.net/11427/23770
work_keys_str_mv AT pottasroelofjh arowbyrowaxialturbineprocessmodelbasedonaonedimensionalthermofluidnetworkapproach
AT pottasroelofjh rowbyrowaxialturbineprocessmodelbasedonaonedimensionalthermofluidnetworkapproach