A new steam turbine model for utility system design and optimization

Li Sun, Robin Smith

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Steam turbine shaft power performance and efficiencies depend on turbine size, type, and operating conditions. This work develops a new turbine performance model based on thermodynamic principles and semi-empirical equations to obtain general steam turbine performance estimation. Moreover, the basis of performance model and its relation to turbine efficiencies is analyzed to make clear how key operating and structural parameters affect the performance model. The new model has been validated against commercial steam turbine data and literature data and gives high accuracy for a wide range of steam turbines. The proposed model overcomes problems from previous models, which did not account for changes in steam mains pressures, and can be applied in utility system design, operational optimization, and system retrofit with complex multi-stage turbines allowing for changes in steam header conditions directly.
Original languageEnglish
Title of host publicationChemical Engineering Transactions
EditorsPetar Sabev Varbanov, Jiří Jaromír Klemeš, Peng Yen Liew, Jun Yow Yong
Place of PublicationMilan
PublisherThe Italian Association of Chemical Engineering
Pages1399-1404
Number of pages6
Volume39
ISBN (Print)978-88-95608-30-3
DOIs
Publication statusPublished - Aug 2014
Externally publishedYes

Publication series

NameChemical Engineering Transactions
PublisherThe Italian Association of Chemical Engineering (AIDIC)
Volume39
ISSN (Print)2283-9216

Cite this

Sun, L., & Smith, R. (2014). A new steam turbine model for utility system design and optimization. In P. S. Varbanov, J. J. Klemeš, P. Y. Liew, & J. Y. Yong (Eds.), Chemical Engineering Transactions (Vol. 39, pp. 1399-1404). (Chemical Engineering Transactions; Vol. 39). Milan: The Italian Association of Chemical Engineering. https://doi.org/10.3303/CET1439234
Sun, Li ; Smith, Robin. / A new steam turbine model for utility system design and optimization. Chemical Engineering Transactions. editor / Petar Sabev Varbanov ; Jiří Jaromír Klemeš ; Peng Yen Liew ; Jun Yow Yong. Vol. 39 Milan : The Italian Association of Chemical Engineering, 2014. pp. 1399-1404 (Chemical Engineering Transactions).
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abstract = "Steam turbine shaft power performance and efficiencies depend on turbine size, type, and operating conditions. This work develops a new turbine performance model based on thermodynamic principles and semi-empirical equations to obtain general steam turbine performance estimation. Moreover, the basis of performance model and its relation to turbine efficiencies is analyzed to make clear how key operating and structural parameters affect the performance model. The new model has been validated against commercial steam turbine data and literature data and gives high accuracy for a wide range of steam turbines. The proposed model overcomes problems from previous models, which did not account for changes in steam mains pressures, and can be applied in utility system design, operational optimization, and system retrofit with complex multi-stage turbines allowing for changes in steam header conditions directly.",
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Sun, L & Smith, R 2014, A new steam turbine model for utility system design and optimization. in PS Varbanov, JJ Klemeš, PY Liew & JY Yong (eds), Chemical Engineering Transactions. vol. 39, Chemical Engineering Transactions, vol. 39, The Italian Association of Chemical Engineering, Milan, pp. 1399-1404. https://doi.org/10.3303/CET1439234

A new steam turbine model for utility system design and optimization. / Sun, Li; Smith, Robin.

Chemical Engineering Transactions. ed. / Petar Sabev Varbanov; Jiří Jaromír Klemeš; Peng Yen Liew; Jun Yow Yong. Vol. 39 Milan : The Italian Association of Chemical Engineering, 2014. p. 1399-1404 (Chemical Engineering Transactions; Vol. 39).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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N2 - Steam turbine shaft power performance and efficiencies depend on turbine size, type, and operating conditions. This work develops a new turbine performance model based on thermodynamic principles and semi-empirical equations to obtain general steam turbine performance estimation. Moreover, the basis of performance model and its relation to turbine efficiencies is analyzed to make clear how key operating and structural parameters affect the performance model. The new model has been validated against commercial steam turbine data and literature data and gives high accuracy for a wide range of steam turbines. The proposed model overcomes problems from previous models, which did not account for changes in steam mains pressures, and can be applied in utility system design, operational optimization, and system retrofit with complex multi-stage turbines allowing for changes in steam header conditions directly.

AB - Steam turbine shaft power performance and efficiencies depend on turbine size, type, and operating conditions. This work develops a new turbine performance model based on thermodynamic principles and semi-empirical equations to obtain general steam turbine performance estimation. Moreover, the basis of performance model and its relation to turbine efficiencies is analyzed to make clear how key operating and structural parameters affect the performance model. The new model has been validated against commercial steam turbine data and literature data and gives high accuracy for a wide range of steam turbines. The proposed model overcomes problems from previous models, which did not account for changes in steam mains pressures, and can be applied in utility system design, operational optimization, and system retrofit with complex multi-stage turbines allowing for changes in steam header conditions directly.

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Sun L, Smith R. A new steam turbine model for utility system design and optimization. In Varbanov PS, Klemeš JJ, Liew PY, Yong JY, editors, Chemical Engineering Transactions. Vol. 39. Milan: The Italian Association of Chemical Engineering. 2014. p. 1399-1404. (Chemical Engineering Transactions). https://doi.org/10.3303/CET1439234