Three-dimensional simulation-based optimum design of direct methanol fuel cell system

Singiresu S Rao, Yi Hu, Saif Matar

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

A three-dimensional, single-phase, multicomponent mathematical model is used for the analysis of a liquid-fed direct methanol fuel cell. Liquid phase is considered on the anode side, and gas phase is considered on the cathode side. The electrochemical kinetics, continuity, momentum, and species transport for methanol, water, and oxygen are all coupled to solve for different optimization scenarios. The effect of methanol crossover due to diffusion and electro-osmotic drag is incorporated into the model. A finite-volumebased computational fluid dynamics (CFD) code is used for the analysis and simulation of the performance of the fuel cell. The analysis model is coupled with the genetic algorithm and sequential quadratic programming optimization technique in seeking the global optimum solution of the fuel cell. Three optimization problems are considered. In the first problem, the maximization of the power density of the fuel cell with lower and upper bounds on the design variables is considered. The second problem considers the maximization of the power density with a constraint on the minimum allowable operating voltage as well as lower and upper bounds on the design variables. In the third problem, the minimization of the cost of the fuel cell is considered with constraints on the minimum allowable operating voltage and the minimum permissible power density as well as lower and upper bounds on the design variables. The performance characteristics of the optimum fuel cell, in the form of graphs of polarization (voltage versus current density), power density versus current density, power density versus voltage, methanol crossover versus current density, and methanol crossover versus voltage are presented and explained to help designers better understand the significance of the optimization results.

Original languageEnglish
Article number021008
JournalJournal of Fuel Cell Science and Technology
Volume10
Issue number2
DOIs
StatePublished - Jul 22 2013

Fingerprint

Direct methanol fuel cells (DMFC)
Fuel cells
Methanol
Electric potential
Current density
Quadratic programming
Liquids
Optimum design
Drag
Momentum
Anodes
Computational fluid dynamics
Cathodes
Genetic algorithms
Gases
Polarization
Mathematical models
Oxygen
Kinetics
Water

ASJC Scopus subject areas

  • Mechanical Engineering
  • Mechanics of Materials
  • Renewable Energy, Sustainability and the Environment
  • Electronic, Optical and Magnetic Materials
  • Energy Engineering and Power Technology

Cite this

Three-dimensional simulation-based optimum design of direct methanol fuel cell system. / Rao, Singiresu S; Hu, Yi; Matar, Saif.

In: Journal of Fuel Cell Science and Technology, Vol. 10, No. 2, 021008, 22.07.2013.

Research output: Contribution to journalArticle

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