The dynamic modeling framework for the microbial fuel cell with metabolic flux analysis and the electrochemical Pemfc model

Wonjun Park; Hyun Uk Kim; Il Moon

The dynamic modeling framework for the microbial fuel cell with metabolic flux analysis and the electrochemical Pemfc model

Wonjun Park, Hyun Uk Kim, Il Moon

Department of Chemical and Biomolecular Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

The integrative modeling framework for the microbial fuel cell was presented. The metabolism for the microbial was investigated to optimize the electrochemical performance with in silico model. Dynamic electrochemical performance was analyzed with the integrated in silico modeling. This modeling suggested the integrative methodology as a emerging technology. The dynamic modeling realized the dynamic performance of the microbial fuel cell. The systematic analysis for the microbial fuel cell was performed and suggested the fundamental modeling structure to apply another potential microbial. This is an abstract of a paper presented at the AIChE Annual Meeting and Fall Showcase (Cincinnati, OH 10/30/2005-11/4/2005).

Original language	English
Title of host publication	05AIChE
Subtitle of host publication	2005 AIChE Annual Meeting and Fall Showcase, Conference Proceedings
Publisher	American Institute of Chemical Engineers
ISBN (Print)	0816909962, 9780816909964
Publication status	Published - 2005
Event	05AIChE: 2005 AIChE Annual Meeting and Fall Showcase - Cincinnati, OH, United States Duration: 2005 Oct 30 → 2005 Nov 4

Publication series

Name	AIChE Annual Meeting Conference Proceedings
Volume	2005

Other

Other	05AIChE: 2005 AIChE Annual Meeting and Fall Showcase
Country	United States
City	Cincinnati, OH
Period	05/10/30 → 05/11/4

All Science Journal Classification (ASJC) codes

Energy(all)

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@inproceedings{a8f5544b9bd4475fb11914e337f69642,

title = "The dynamic modeling framework for the microbial fuel cell with metabolic flux analysis and the electrochemical Pemfc model",

abstract = "The integrative modeling framework for the microbial fuel cell was presented. The metabolism for the microbial was investigated to optimize the electrochemical performance with in silico model. Dynamic electrochemical performance was analyzed with the integrated in silico modeling. This modeling suggested the integrative methodology as a emerging technology. The dynamic modeling realized the dynamic performance of the microbial fuel cell. The systematic analysis for the microbial fuel cell was performed and suggested the fundamental modeling structure to apply another potential microbial. This is an abstract of a paper presented at the AIChE Annual Meeting and Fall Showcase (Cincinnati, OH 10/30/2005-11/4/2005).",

author = "Wonjun Park and Kim, {Hyun Uk} and Il Moon",

year = "2005",

language = "English",

isbn = "0816909962",

series = "AIChE Annual Meeting Conference Proceedings",

publisher = "American Institute of Chemical Engineers",

booktitle = "05AIChE",

address = "United States",

}

Park, W, Kim, HU & Moon, I 2005, The dynamic modeling framework for the microbial fuel cell with metabolic flux analysis and the electrochemical Pemfc model. in 05AIChE: 2005 AIChE Annual Meeting and Fall Showcase, Conference Proceedings. AIChE Annual Meeting Conference Proceedings, vol. 2005, American Institute of Chemical Engineers, 05AIChE: 2005 AIChE Annual Meeting and Fall Showcase, Cincinnati, OH, United States, 05/10/30.

The dynamic modeling framework for the microbial fuel cell with metabolic flux analysis and the electrochemical Pemfc model. / Park, Wonjun; Kim, Hyun Uk; Moon, Il.

05AIChE: 2005 AIChE Annual Meeting and Fall Showcase, Conference Proceedings. American Institute of Chemical Engineers, 2005. (AIChE Annual Meeting Conference Proceedings; Vol. 2005).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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N2 - The integrative modeling framework for the microbial fuel cell was presented. The metabolism for the microbial was investigated to optimize the electrochemical performance with in silico model. Dynamic electrochemical performance was analyzed with the integrated in silico modeling. This modeling suggested the integrative methodology as a emerging technology. The dynamic modeling realized the dynamic performance of the microbial fuel cell. The systematic analysis for the microbial fuel cell was performed and suggested the fundamental modeling structure to apply another potential microbial. This is an abstract of a paper presented at the AIChE Annual Meeting and Fall Showcase (Cincinnati, OH 10/30/2005-11/4/2005).

AB - The integrative modeling framework for the microbial fuel cell was presented. The metabolism for the microbial was investigated to optimize the electrochemical performance with in silico model. Dynamic electrochemical performance was analyzed with the integrated in silico modeling. This modeling suggested the integrative methodology as a emerging technology. The dynamic modeling realized the dynamic performance of the microbial fuel cell. The systematic analysis for the microbial fuel cell was performed and suggested the fundamental modeling structure to apply another potential microbial. This is an abstract of a paper presented at the AIChE Annual Meeting and Fall Showcase (Cincinnati, OH 10/30/2005-11/4/2005).

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