Pre-design model for redox flow battery design
Owing to complex configurations and the multi-physics phenomenon in a Redox flow battery (RFB), designing an RFB flow frame through Computational fluid dynamics (CFD) or experimentally requires high design costs. As an alternative approach, a compartment model can be applied to the design of an opti...
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Published in | Journal of mechanical science and technology Vol. 32; no. 3; pp. 1025 - 1032 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
Seoul
Korean Society of Mechanical Engineers
01.03.2018
Springer Nature B.V 대한기계학회 |
Subjects | |
Online Access | Get full text |
ISSN | 1738-494X 1976-3824 |
DOI | 10.1007/s12206-018-0203-z |
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Abstract | Owing to complex configurations and the multi-physics phenomenon in a Redox flow battery (RFB), designing an RFB flow frame through Computational fluid dynamics (CFD) or experimentally requires high design costs. As an alternative approach, a compartment model can be applied to the design of an optimal RFB flow frame. In this study, we developed a pre-design model to estimate the parameters related to the energy efficiency of an RFB. A key factor of the proposed model is applying a classical pipe network theory and an electric circuit analogy to an RFB flow frame and stack. The pre-design model enables an estimation of the total pressure drop, flow rate distribution, and shunt current at the RFB cells or stack. Model-based estimates show good agreement with CFD and experimental results. |
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AbstractList | Owing to complex configurations and the multi-physics phenomenon in a Redox flow battery (RFB), designing an RFB flow frame through Computational fluid dynamics (CFD) or experimentally requires high design costs. As an alternative approach, a compartment model can be applied to the design of an optimal RFB flow frame. In this study, we developed a pre-design model to estimate the parameters related to the energy efficiency of an RFB. A key factor of the proposed model is applying a classical pipe network theory and an electric circuit analogy to an RFB flow frame and stack. The pre-design model enables an estimation of the total pressure drop, flow rate distribution, and shunt current at the RFB cells or stack. Model-based estimates show good agreement with CFD and experimental results. KCI Citation Count: 0 Owing to complex configurations and the multi-physics phenomenon in a Redox flow battery (RFB), designing an RFB flow frame through Computational fluid dynamics (CFD) or experimentally requires high design costs. As an alternative approach, a compartment model can be applied to the design of an optimal RFB flow frame. In this study, we developed a pre-design model to estimate the parameters related to the energy efficiency of an RFB. A key factor of the proposed model is applying a classical pipe network theory and an electric circuit analogy to an RFB flow frame and stack. The pre-design model enables an estimation of the total pressure drop, flow rate distribution, and shunt current at the RFB cells or stack. Model-based estimates show good agreement with CFD and experimental results. |
Author | Choi, Yun Young Choi, Jung-Il Kim, Youngkwon Oh, Geunwoo Kim, Ki Jae |
Author_xml | – sequence: 1 givenname: Yun Young surname: Choi fullname: Choi, Yun Young organization: Department of Computational Science and Engineering, Yonsei University – sequence: 2 givenname: Geunwoo surname: Oh fullname: Oh, Geunwoo organization: Department of Computational Science and Engineering, Yonsei University – sequence: 3 givenname: Jung-Il surname: Choi fullname: Choi, Jung-Il email: jic@yonsei.ac.kr organization: Department of Computational Science and Engineering, Yonsei University – sequence: 4 givenname: Youngkwon surname: Kim fullname: Kim, Youngkwon organization: Advanced Batteries Research Center, Korea Electronics Technology Institute – sequence: 5 givenname: Ki Jae surname: Kim fullname: Kim, Ki Jae organization: Department of New Energy Engineering, Seoul National University of Science and Technology |
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CitedBy_id | crossref_primary_10_1016_j_ijheatmasstransfer_2022_123626 crossref_primary_10_1016_j_jpowsour_2019_227684 |
Cites_doi | 10.1149/1.2119891 10.1016/j.jpowsour.2015.04.169 10.1016/j.jpowsour.2011.06.080 10.1016/j.jpowsour.2011.08.033 10.1016/j.jpowsour.2013.09.071 10.1007/s10800-011-0348-2 10.1016/j.jpowsour.2013.02.045 10.1016/S0376-7388(03)00309-0 10.1109/PCCON.2007.372971 10.1016/j.jpowsour.2014.03.110 |
ContentType | Journal Article |
Copyright | The Korean Society of Mechanical Engineers and Springer-Verlag GmbH Germany, part of Springer Nature 2018 Journal of Mechanical Science and Technology is a copyright of Springer, (2018). All Rights Reserved. The Korean Society of Mechanical Engineers and Springer-Verlag GmbH Germany, part of Springer Nature 2018. |
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Keywords | Pump power Shunt current Pipe network theory Pressure drop Electrical circuit analogy Redox flow battery Flow distribution |
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Snippet | Owing to complex configurations and the multi-physics phenomenon in a Redox flow battery (RFB), designing an RFB flow frame through Computational fluid... |
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SubjectTerms | Circuit design Circuits Computational fluid dynamics Configuration management Control Current distribution Dynamical Systems Engineering Flow velocity Industrial and Production Engineering Mathematical models Mechanical Engineering Parameter estimation Pressure drop Rechargeable batteries Stress concentration Vibration 기계공학 |
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Title | Pre-design model for redox flow battery design |
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