Fuzzy-based multi-objective optimization of DMFC system efficiencies

W. Wu; Y. T. Lin

doi:10.1016/j.ijhydene.2010.06.047

Fuzzy-based multi-objective optimization of DMFC system efficiencies

W. Wu, Y. T. Lin

Department of Chemical Engineering

Research output: Contribution to journal › Article › peer-review

12 Citations (Scopus)

Abstract

To improve the fuel efficiency and total exergetic efficiency of a non-isothermal direct methanol fuel cell (DMFC) system, the multi-objective optimization problem is addressed in this article. Under incommensurable multiple goals, the fuzzy inference with two-phase procedures is applied for finding the locally Pareto-optimal solution. Through an iterative optimization programming, a piecewise optimal control action is effectively generated at each time period. Finally, the optimal operating manner by manipulating anode inlet temperature is successfully demonstrated by the dynamic simulation.

Original language	English
Pages (from-to)	9701-9708
Number of pages	8
Journal	International Journal of Hydrogen Energy
Volume	35
Issue number	18
DOIs	https://doi.org/10.1016/j.ijhydene.2010.06.047
Publication status	Published - 2010 Sep

All Science Journal Classification (ASJC) codes

Renewable Energy, Sustainability and the Environment
Fuel Technology
Condensed Matter Physics
Energy Engineering and Power Technology

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1016/j.ijhydene.2010.06.047

Cite this

@article{51bd684df84445d19c4d01660dcbb528,

title = "Fuzzy-based multi-objective optimization of DMFC system efficiencies",

abstract = "To improve the fuel efficiency and total exergetic efficiency of a non-isothermal direct methanol fuel cell (DMFC) system, the multi-objective optimization problem is addressed in this article. Under incommensurable multiple goals, the fuzzy inference with two-phase procedures is applied for finding the locally Pareto-optimal solution. Through an iterative optimization programming, a piecewise optimal control action is effectively generated at each time period. Finally, the optimal operating manner by manipulating anode inlet temperature is successfully demonstrated by the dynamic simulation.",

author = "W. Wu and Lin, {Y. T.}",

note = "Funding Information: The authors would like to thank the National Science Council of the Republic of China for financially supporting this research under Contract No. NSC 98-2622-E-224-025-CC3 . ",

year = "2010",

month = sep,

doi = "10.1016/j.ijhydene.2010.06.047",

language = "English",

volume = "35",

pages = "9701--9708",

journal = "International Journal of Hydrogen Energy",

issn = "0360-3199",

publisher = "Elsevier Limited",

number = "18",

}

TY - JOUR

T1 - Fuzzy-based multi-objective optimization of DMFC system efficiencies

AU - Wu, W.

AU - Lin, Y. T.

N1 - Funding Information: The authors would like to thank the National Science Council of the Republic of China for financially supporting this research under Contract No. NSC 98-2622-E-224-025-CC3 .

PY - 2010/9

Y1 - 2010/9

N2 - To improve the fuel efficiency and total exergetic efficiency of a non-isothermal direct methanol fuel cell (DMFC) system, the multi-objective optimization problem is addressed in this article. Under incommensurable multiple goals, the fuzzy inference with two-phase procedures is applied for finding the locally Pareto-optimal solution. Through an iterative optimization programming, a piecewise optimal control action is effectively generated at each time period. Finally, the optimal operating manner by manipulating anode inlet temperature is successfully demonstrated by the dynamic simulation.

AB - To improve the fuel efficiency and total exergetic efficiency of a non-isothermal direct methanol fuel cell (DMFC) system, the multi-objective optimization problem is addressed in this article. Under incommensurable multiple goals, the fuzzy inference with two-phase procedures is applied for finding the locally Pareto-optimal solution. Through an iterative optimization programming, a piecewise optimal control action is effectively generated at each time period. Finally, the optimal operating manner by manipulating anode inlet temperature is successfully demonstrated by the dynamic simulation.

UR - http://www.scopus.com/inward/record.url?scp=77956174467&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=77956174467&partnerID=8YFLogxK

U2 - 10.1016/j.ijhydene.2010.06.047

DO - 10.1016/j.ijhydene.2010.06.047

M3 - Article

AN - SCOPUS:77956174467

VL - 35

SP - 9701

EP - 9708

JO - International Journal of Hydrogen Energy

JF - International Journal of Hydrogen Energy

SN - 0360-3199

IS - 18

ER -

Fuzzy-based multi-objective optimization of DMFC system efficiencies

Abstract

All Science Journal Classification (ASJC) codes

UN SDGs

Access to Document

Other files and links

Fingerprint

Cite this