Optimization of parametric performance of a PEMFC

Kaytakoğlu, Süleyman; Akyalçın, Levent

doi:10.1016/j.ijhydene.2007.06.025

Cited by 73 publications

(24 citation statements)

References 14 publications

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“…Analisis varian (ANOVA) dijalankan bagi mengenal pasti aras optimum untuk setiap parameter yang dikaji. Antara kelebihan kaedah Taguchi selain daripada dapat meminimumkan kos penyelidikan adalah keupayaannya untuk mengurangkan variasi pada respons parameter serta menjadikan purata respons parameter sebagai sasaran (Kaytakoğlu & Akyalçın 2007). Bagi memastikan komposit polimer yang terdiri daripada polipropilena dan kisaran gentian karbon mempunyai tahap keberaliran elektrik yang tinggi, parameter yang optimum merangkumi suhu dan halaju putaran proses penyempritan dikaji menggunakan kaedah penyelidikan Taguchi.…”

Section: Pengenalanunclassified

“…Terdapat tiga kategori pengoptimuman iaitu nominal yang terbaik, kecil lebih baik dan besar lebih baik. Pengoptimuman menggunakan kategori besar lebih baik digunakan dalam kajian ini bagi memperoleh hasil yang maksimum iaitu tahap keberaliran elektrik bagi komposit polimer pengalir yang paling tinggi (Kaytakoğlu & Akyalçın 2007).…”

Section: Proses Penyemperitanunclassified

“…Pengulangan nilai bacaan keberaliran elektrik yang telah direkodkan kemudiannya diubah kepada nilai tunggal menggunakan nisbah SN bagi menggambarkan jumlah varian yang hadir serta respons bagi min (Ibrahim et al 2010). Seterusnya, interaksi antara parameter A dan B dianalisa menerusi analisis varian (ANOVA) bagi menentukan sumbangan oleh setiap parameter (Arslanoglu & Yigit 2016;Kaytakoğlu & Akyalçın 2007). Jadual 3 menunjukkan perincian keputusan bagi analisis varian dengan halaju putaran merupakan parameter yang paling banyak menyumbang kepada keseluruhan keberaliran elektrik dengan 61.5% sumbangan daripada jumlah keseluruhan.…”

Section: Keputusan Dan Perbincangan Pengoptimuman Parameter Penyemperunclassified

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Pengoptimuman Proses Penyemperitan Gentian Karbon Terkisar dan Polipropilena bagi Komposit Polimer Pengalir

Radzuan

Sulong²,

Somalu³

2016

JSM

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The extrusion process is one of the pre-mixing processes that aid in improving the filler dispersion in conductive polymer composite (CPC). Electrical conductivity level still needs much improvement in mixing process through mechanical mixer. This study was conducted to optimise the extrusion process parameters (temperature and rotational speed) of milled carbon fibre (MCF) and polypropylene (PP) using experimental design (Taguchi method

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Section: Pengenalanunclassified

Section: Proses Penyemperitanunclassified

Section: Keputusan Dan Perbincangan Pengoptimuman Parameter Penyemperunclassified

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Pengoptimuman Proses Penyemperitan Gentian Karbon Terkisar dan Polipropilena bagi Komposit Polimer Pengalir

Radzuan

Sulong²,

Somalu³

2016

JSM

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“…The performance of PEMFC, being important and getting more and more attention in recent years, is known to be influenced by many parameters such as operating temperatures both fuel cell and humidifiers, pressure, flow rates and relative humidity of fuel and oxidant gases [7]. Maintaining a fuel cell system in correct operating conditions requires good system control.…”

Section: Introductionmentioning

confidence: 99%

Model Predictive Control on Constant Voltage Output of a Proton Exchange Membrane Fuel Cell

Fan¹,

Zhang²,

Li³

2013

JESTR

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As one of the promising renewable energy sources, the proton exchange membrane fuel cell (PEMFC) has received more and more attentions in recent years. Performance improvement is necessary for popularization and application of PEMFC. A model predictive controller based on the receding horizon control approach is designed for the PEMFC. Hydrogen pressure and oxygen pressure are chosen as the control variables respectively, and the main control objective is to keep the output voltage constant. Simulation results show that the designed MPC controller can give a satisfactory control effect.

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“…Their objective was to optimise the fuel cell operating conditions versus ageing time. S. Kaytakoglu and L. Akyalçin [18] used the Taguchi method to determine optimum working conditions for maximum power density of a fuel cell. S.-J.…”

Section: Introductionmentioning

confidence: 99%

Analysis of PEM fuel cell experimental data using principal component analysis and multi linear regression

Placca

Kouta

Candusso³

et al. 2010

International Journal of Hydrogen Energy

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Abstract:Polarisation curves performed at the Fuel Cell System Laboratory (FC LAB) at Belfort on a PEM fuel cell stack using a homemade fully instrumented test bench led to more than 100 variables depending on time. Visualising and analysing all the different test variables are complex. In this work, we show how the Principal Component Analysis (PCA) method helps to explore correlations between variables and similarities between measurements at a specific sampling time (individuals). To complete this method, an empirical model of the PEM fuel cell is proposed by linking the different input parameters to the cell voltage using Multiple Linear Regressions.

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Optimization of parametric performance of a PEMFC

Cited by 73 publications

References 14 publications

Pengoptimuman Proses Penyemperitan Gentian Karbon Terkisar dan Polipropilena bagi Komposit Polimer Pengalir

Pengoptimuman Proses Penyemperitan Gentian Karbon Terkisar dan Polipropilena bagi Komposit Polimer Pengalir

Model Predictive Control on Constant Voltage Output of a Proton Exchange Membrane Fuel Cell

Analysis of PEM fuel cell experimental data using principal component analysis and multi linear regression

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