Non-isothermal dynamic modelling and optimization of a direct methanol fuel cell. Ko, D., Lee, M., Jang, W. H., & Krewer, U. Journal of Power Sources, 180(1):71–83, 2008.
doi  abstract   bibtex   
A non-isothermal dynamic optimization model of direct methanol fuel cells (DMFCs) is developed to predict their performance with an effective optimum-operating strategy. After investigating the sensitivities of the transient behaviour (the outlet temperature, crossovers of methanol and water, and cell voltage) to operating conditions (the inlet flow rates into anode and cathode compartments, and feed concentration) through dynamic simulations, we find that anode feed concentration has a significantly larger impact on methanol crossover, temperature, and cell voltage than the anode and cathode flow rates. Also, optimum transient conditions to satisfy the desired fuel efficiency are obtained by dynamic optimization. In the developed model, the significant influence of temperature on DMFC behaviour is described in detail with successful estimation of its model parameters. ?? 2008 Elsevier B.V. All rights reserved.
@article{ko_non-isothermal_2008,
	title = {Non-isothermal dynamic modelling and optimization of a direct methanol fuel cell},
	volume = {180},
	copyright = {All rights reserved},
	issn = {03787753},
	doi = {10.1016/j.jpowsour.2008.01.083},
	abstract = {A non-isothermal dynamic optimization model of direct methanol fuel cells (DMFCs) is developed to predict their performance with an effective optimum-operating strategy. After investigating the sensitivities of the transient behaviour (the outlet temperature, crossovers of methanol and water, and cell voltage) to operating conditions (the inlet flow rates into anode and cathode compartments, and feed concentration) through dynamic simulations, we find that anode feed concentration has a significantly larger impact on methanol crossover, temperature, and cell voltage than the anode and cathode flow rates. Also, optimum transient conditions to satisfy the desired fuel efficiency are obtained by dynamic optimization. In the developed model, the significant influence of temperature on DMFC behaviour is described in detail with successful estimation of its model parameters. ?? 2008 Elsevier B.V. All rights reserved.},
	number = {1},
	journal = {Journal of Power Sources},
	author = {Ko, DaeHo and Lee, MinJeong and Jang, Won Hyouk and Krewer, Ulrike},
	year = {2008},
	keywords = {Direct methanol fuel cell, Dynamic simulation and optimization, Non-isothermal model, Optimum operation},
	pages = {71--83},
}

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