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Mathematical model and parametric uncertainty analysis of a hydraulic generating system
descriptionPublicationkeyboard_double_arrow_right Article , Journal 2019 United Kingdom Publisher:Elsevier BV
Authors: Beibei Xu; Diyi Chen; Edoardo Patelli; Haijun Shen; +1 Authors
Beibei Xu; Diyi Chen; Edoardo Patelli; Haijun Shen; Jae-Hyun Park;
doi: 10.1016/j.renene.2018.09.095
doi: 10.1016/j.renene.2018.09.095
Conversion efficiency and unit vibration are two important indexes in evaluating the stability of hydraulic generating systems (HGSs). Most of related studies have been carried out in the deterministic theory framework. As running times of HGS increased, understanding uncertainties and limitations of model parameters are important for accurate modeling and stability evaluation. In this study, first, we establish an integrated model of a HGS by proposing unbalanced hydraulic forces based on the Kutta-Zhoukowski assumption. Second, global sensitivity and parametric interactions for conversion efficiency and unit vibration are investigated based on this model. Finally, the novel unified model is verified with two conventional models. This integrated and accurate mathematical model is a major advance in the diagnosis and prediction of failures in hydropower operation.
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Article . 2019
License: CC BY NC ND
Full-Text: https://strathprints.strath.ac.uk/71743/1/Xu_etal_RE_2019_Mathematical_model_and_parametric_uncertainty_analysis.pdf
Data sources: CORE
CORE (RIOXX-UK Aggregator)
Article . 2019
License: CC BY NC ND
Full-Text: https://strathprints.strath.ac.uk/71743/1/Xu_etal_RE_2019_Mathematical_model_and_parametric_uncertainty_analysis.pdf
Data sources: CORE (RIOXX-UK Aggregator)
Strathprints
Article . 2019
License: CC BY NC ND
Full-Text: https://strathprints.strath.ac.uk/71743/1/Xu_etal_RE_2019_Mathematical_model_and_parametric_uncertainty_analysis.pdf
Data sources: Bielefeld Academic Search Engine (BASE)
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Article . 2019 . Peer-reviewed
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Article . 2019
License: CC BY NC ND
Full-Text: https://strathprints.strath.ac.uk/71743/1/Xu_etal_RE_2019_Mathematical_model_and_parametric_uncertainty_analysis.pdf
Data sources: CORE
CORE (RIOXX-UK Aggregator)
Article . 2019
License: CC BY NC ND
Full-Text: https://strathprints.strath.ac.uk/71743/1/Xu_etal_RE_2019_Mathematical_model_and_parametric_uncertainty_analysis.pdf
Data sources: CORE (RIOXX-UK Aggregator)
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Article . 2019
License: CC BY NC ND
Full-Text: https://strathprints.strath.ac.uk/71743/1/Xu_etal_RE_2019_Mathematical_model_and_parametric_uncertainty_analysis.pdf
Data sources: Bielefeld Academic Search Engine (BASE)
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Article
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Article . 2019 . Peer-reviewed
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Mathematical model and parametric uncertainty analysis of a hydraulic generating system
descriptionPublicationkeyboard_double_arrow_right Article , Journal 2019 United Kingdom Publisher:Elsevier BV
Authors: Beibei Xu; Diyi Chen; Edoardo Patelli; Haijun Shen; +1 Authors
Beibei Xu; Diyi Chen; Edoardo Patelli; Haijun Shen; Jae-Hyun Park;
doi: 10.1016/j.renene.2018.09.095
doi: 10.1016/j.renene.2018.09.095
Conversion efficiency and unit vibration are two important indexes in evaluating the stability of hydraulic generating systems (HGSs). Most of related studies have been carried out in the deterministic theory framework. As running times of HGS increased, understanding uncertainties and limitations of model parameters are important for accurate modeling and stability evaluation. In this study, first, we establish an integrated model of a HGS by proposing unbalanced hydraulic forces based on the Kutta-Zhoukowski assumption. Second, global sensitivity and parametric interactions for conversion efficiency and unit vibration are investigated based on this model. Finally, the novel unified model is verified with two conventional models. This integrated and accurate mathematical model is a major advance in the diagnosis and prediction of failures in hydropower operation.
downloaddonwloadFull-Text
COREarrow_drop_down
CORE
Article . 2019
License: CC BY NC ND
Full-Text: https://strathprints.strath.ac.uk/71743/1/Xu_etal_RE_2019_Mathematical_model_and_parametric_uncertainty_analysis.pdf
Data sources: CORE
CORE (RIOXX-UK Aggregator)
Article . 2019
License: CC BY NC ND
Full-Text: https://strathprints.strath.ac.uk/71743/1/Xu_etal_RE_2019_Mathematical_model_and_parametric_uncertainty_analysis.pdf
Data sources: CORE (RIOXX-UK Aggregator)
Strathprints
Article . 2019
License: CC BY NC ND
Full-Text: https://strathprints.strath.ac.uk/71743/1/Xu_etal_RE_2019_Mathematical_model_and_parametric_uncertainty_analysis.pdf
Data sources: Bielefeld Academic Search Engine (BASE)
Renewable Energy
Article
License: CC BY NC ND
Data sources: UnpayWall
Renewable Energy
Article . 2019 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
Renewable Energy
Journal
Data sources: Microsoft Academic Graph
linkLink to
shareshareShare
citeCite
addClaim
Please grant OpenAIRE to access and update your ORCID works.
This Research product is the result of merged Research products in OpenAIRE.

You have already added works in your ORCID record related to the merged Research product.
This Research product is the result of merged Research products in OpenAIRE.

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Access Routes
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hybrid
24
citations 24
popularity Top 10%
influence Top 10%
impulse Top 10%
Powered by BIP!
more_vert
downloaddonwloadFull-Text
COREarrow_drop_down
CORE
Article . 2019
License: CC BY NC ND
Full-Text: https://strathprints.strath.ac.uk/71743/1/Xu_etal_RE_2019_Mathematical_model_and_parametric_uncertainty_analysis.pdf
Data sources: CORE
CORE (RIOXX-UK Aggregator)
Article . 2019
License: CC BY NC ND
Full-Text: https://strathprints.strath.ac.uk/71743/1/Xu_etal_RE_2019_Mathematical_model_and_parametric_uncertainty_analysis.pdf
Data sources: CORE (RIOXX-UK Aggregator)
Strathprints
Article . 2019
License: CC BY NC ND
Full-Text: https://strathprints.strath.ac.uk/71743/1/Xu_etal_RE_2019_Mathematical_model_and_parametric_uncertainty_analysis.pdf
Data sources: Bielefeld Academic Search Engine (BASE)
Renewable Energy
Article
License: CC BY NC ND
Data sources: UnpayWall
Renewable Energy
Article . 2019 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
Renewable Energy
Journal
Data sources: Microsoft Academic Graph
linkLink to
shareshareShare
citeCite
addClaim
Please grant OpenAIRE to access and update your ORCID works.
This Research product is the result of merged Research products in OpenAIRE.

You have already added works in your ORCID record related to the merged Research product.
This Research product is the result of merged Research products in OpenAIRE.

You have already added works in your ORCID record related to the merged Research product.
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Mathematical model and parametric uncertainty analysis of a hydraulic generating system