Multi-objective optimization of the hydrodynamic performance of the second stage of a multi-phase pump

Jun Won Suh; Jin Woo Kim; Young Seok Choi; Jin Hyuk Kim; Won Gu Joo; Kyoung Yong Lee

doi:10.3390/en10091334

Multi-objective optimization of the hydrodynamic performance of the second stage of a multi-phase pump

Jun Won Suh, Jin Woo Kim, Young Seok Choi, Jin Hyuk Kim, Won Gu Joo, Kyoung Yong Lee

Department of Mechanical Engineering

Research output: Contribution to journal › Article › peer-review

49 Citations (Scopus)

Abstract

Most multi-phase pumps used in crude oil production have been developed to satisfy certain pressure specifications. In the design of these pumps, the flow characteristics of the posterior stage are different from those of the prior stage. For this reason, the design of the second stage needs to be supplemented. To optimize performance in this stage, multi-objective optimization to simultaneously increase pressure and efficiency is reported in this article. Flow analyses of the single and multiple phases of the multi-phase pump were conducted by solving three-dimensional steady Reynolds-averaged Navier-Stokes equations. For the numerical optimization, two design variables related to the blade inlet angle were selected. The impeller and the diffuser blades were optimized using a systematic optimization technique combined with a central composite method and a hybrid multi-objective evolutionary algorithm coupled with a surrogate model. The selected optimal model yielded better hydrodynamic performance than the base model, and reasons for this are investigated through internal flow field analysis.

Original language	English
Article number	1334
Journal	Energies
Volume	10
Issue number	9
DOIs	https://doi.org/10.3390/en10091334
Publication status	Published - 2017

Bibliographical note

Funding Information:
Acknowledgments: This research was supported by the Industrial Infrastructure Program through The Korea Institute for Advancement of Technology (KIAT) grant, funded by the Korea Ministry of Trade, Industry, and Energy (No. N0000502), and partly through a grant (No. 10044860) from the Korea Institute of Industrial Technology Evaluation and Planning (ITEP) that is funded by the Ministry of Science, ICT and Future Planning. The authors are grateful for this support.

Publisher Copyright:
© 2017 by the authors. Licensee MDPI, Basel, Switzerland.

All Science Journal Classification (ASJC) codes

Renewable Energy, Sustainability and the Environment
Energy Engineering and Power Technology
Energy (miscellaneous)
Control and Optimization
Electrical and Electronic Engineering

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.3390/en10091334

Cite this

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title = "Multi-objective optimization of the hydrodynamic performance of the second stage of a multi-phase pump",

abstract = "Most multi-phase pumps used in crude oil production have been developed to satisfy certain pressure specifications. In the design of these pumps, the flow characteristics of the posterior stage are different from those of the prior stage. For this reason, the design of the second stage needs to be supplemented. To optimize performance in this stage, multi-objective optimization to simultaneously increase pressure and efficiency is reported in this article. Flow analyses of the single and multiple phases of the multi-phase pump were conducted by solving three-dimensional steady Reynolds-averaged Navier-Stokes equations. For the numerical optimization, two design variables related to the blade inlet angle were selected. The impeller and the diffuser blades were optimized using a systematic optimization technique combined with a central composite method and a hybrid multi-objective evolutionary algorithm coupled with a surrogate model. The selected optimal model yielded better hydrodynamic performance than the base model, and reasons for this are investigated through internal flow field analysis.",

author = "Suh, {Jun Won} and Kim, {Jin Woo} and Choi, {Young Seok} and Kim, {Jin Hyuk} and Joo, {Won Gu} and Lee, {Kyoung Yong}",

note = "Funding Information: Acknowledgments: This research was supported by the Industrial Infrastructure Program through The Korea Institute for Advancement of Technology (KIAT) grant, funded by the Korea Ministry of Trade, Industry, and Energy (No. N0000502), and partly through a grant (No. 10044860) from the Korea Institute of Industrial Technology Evaluation and Planning (ITEP) that is funded by the Ministry of Science, ICT and Future Planning. The authors are grateful for this support. Publisher Copyright: {\textcopyright} 2017 by the authors. Licensee MDPI, Basel, Switzerland.",

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AU - Joo, Won Gu

AU - Lee, Kyoung Yong

N1 - Funding Information: Acknowledgments: This research was supported by the Industrial Infrastructure Program through The Korea Institute for Advancement of Technology (KIAT) grant, funded by the Korea Ministry of Trade, Industry, and Energy (No. N0000502), and partly through a grant (No. 10044860) from the Korea Institute of Industrial Technology Evaluation and Planning (ITEP) that is funded by the Ministry of Science, ICT and Future Planning. The authors are grateful for this support. Publisher Copyright: © 2017 by the authors. Licensee MDPI, Basel, Switzerland.

PY - 2017

Y1 - 2017

N2 - Most multi-phase pumps used in crude oil production have been developed to satisfy certain pressure specifications. In the design of these pumps, the flow characteristics of the posterior stage are different from those of the prior stage. For this reason, the design of the second stage needs to be supplemented. To optimize performance in this stage, multi-objective optimization to simultaneously increase pressure and efficiency is reported in this article. Flow analyses of the single and multiple phases of the multi-phase pump were conducted by solving three-dimensional steady Reynolds-averaged Navier-Stokes equations. For the numerical optimization, two design variables related to the blade inlet angle were selected. The impeller and the diffuser blades were optimized using a systematic optimization technique combined with a central composite method and a hybrid multi-objective evolutionary algorithm coupled with a surrogate model. The selected optimal model yielded better hydrodynamic performance than the base model, and reasons for this are investigated through internal flow field analysis.

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Multi-objective optimization of the hydrodynamic performance of the second stage of a multi-phase pump

Abstract

Bibliographical note

All Science Journal Classification (ASJC) codes

UN SDGs

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