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Multi-scale modeling and optimizatio...

Xu, Cong.

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Multi-scale modeling and optimization of PEM fuel cells: Analyses in operations, economics and materials.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Multi-scale modeling and optimization of PEM fuel cells: Analyses in operations, economics and materials./
Author:	Xu, Cong.
Description:	174 p.
Notes:	Source: Dissertation Abstracts International, Volume: 66-02, Section: B, page: 1042.
Contained By:	Dissertation Abstracts International66-02B.
Subject:	Engineering, Chemical. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3166287
ISBN:	0542015706

Multi-scale modeling and optimization of PEM fuel cells: Analyses in operations, economics and materials.
Xu, Cong.

Multi-scale modeling and optimization of PEM fuel cells: Analyses in operations, economics and materials. - 174 p.

Source: Dissertation Abstracts International, Volume: 66-02, Section: B, page: 1042.

Thesis (Ph.D.)--Carnegie Mellon University, 2005.

This thesis targets the multi-scale modeling and optimization of Polymer Electrolyte Membrane Fuel Cells (PEMFCs). We focus our research on two types of PEMFCs, i.e., liquid-feed direct methanol fuel cell (DMFC) and hydrogen PEMFC (H2 PEMFC). These two types of PEMFCs attract more attention recently due to its high power density and energy efficiency, low temperature operating condition, and system simplicity.

ISBN: 0542015706Subjects--Topical Terms:

1018531
Engineering, Chemical.

Multi-scale modeling and optimization of PEM fuel cells: Analyses in operations, economics and materials.
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020 $a 0542015706
035 $a (UnM)AAI3166287
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040 $a UnM $c UnM
100 1 $a Xu, Cong. $3 1937450
245 1 0 $a Multi-scale modeling and optimization of PEM fuel cells: Analyses in operations, economics and materials.
300 $a 174 p.
500 $a Source: Dissertation Abstracts International, Volume: 66-02, Section: B, page: 1042.
500 $a Advisers: Larry Biegler; Myung S. Jhon.
502 $a Thesis (Ph.D.)--Carnegie Mellon University, 2005.
520 $a This thesis targets the multi-scale modeling and optimization of Polymer Electrolyte Membrane Fuel Cells (PEMFCs). We focus our research on two types of PEMFCs, i.e., liquid-feed direct methanol fuel cell (DMFC) and hydrogen PEMFC (H2 PEMFC). These two types of PEMFCs attract more attention recently due to its high power density and energy efficiency, low temperature operating condition, and system simplicity.
520 $a First, we examine a direct methanol fuel cell (DMFC) model that captures the essence of electrode kinetics and methanol crossover through the polymer electrolyte membrane (PEM). Model parameters and key factors for the DMFC model including methanol crossover are identified. Moreover, we established a relationship between the methanol feed concentration and the power density at a given current density. To gain insight into the effect of the methanol feed concentration, we also performed sensitivity analysis between the cell voltage and the methanol feed concentration. From the sensitivity curve, we are able to identify the optimal feed concentration, which provides the highest power density output for a set value of the current density. Finally, the optimal response of the cell voltage to the change of the feed concentration is studied via dynamic optimization to the differential algebraic equation system. This dynamic optimization results provide a constant feeding strategy that achieves the highest power density at given operating condition specified by a set current density.
520 $a In the H2 PEMFC modeling, a one-dimensional model is adopted to examine the transport phenomena at the anode backing and catalyst layer. For the cathode part, a standard curve is used to describe its voltage response to the current density. We focus on describing the "CO poisoning" effect at the anode catalyst layer and the fuel utilization (or H2 dilution) effect on the anode flow channel. The complicated anode reaction kinetics is modeled to describe the CO effects, yielding a quantitative fit to the measured dependence of voltage loss at the inlet CO level. From this model, we find that voltage losses associated with CO poisoning are amplified significantly with diluted hydrogen feed streams and particularly so under high fuel utilization. CO poisoning effect can be relieved via O2 bleeding. (Abstract shortened by UMI.)
590 $a School code: 0041.
650 4 $a Engineering, Chemical. $3 1018531
690 $a 0542
710 2 0 $a Carnegie Mellon University. $3 1018096
773 0 $t Dissertation Abstracts International $g 66-02B.
790 1 0 $a Biegler, Larry, $e advisor
790 1 0 $a Jhon, Myung S., $e advisor
790 $a 0041
791 $a Ph.D.
792 $a 2005
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3166287