کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
1280975 1497480 2014 18 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A novel approach to improve the mathematical modelling of the internal reforming process for solid oxide fuel cells using the orthogonal least squares method
ترجمه فارسی عنوان
یک رویکرد جدید برای بهبود مدلسازی ریاضی فرایند اصلاح داخلی برای سلولهای سوخت جامد اکسید با استفاده از روش حداقل مربعات متعامد
کلمات کلیدی
فرآیند متان / بخار، روش حداقل مربع عمومی، تجزیه و تحلیل عدم قطعیت، سینتیک واکنش سلول های سوختی اکسید جامد
موضوعات مرتبط
مهندسی و علوم پایه شیمی الکتروشیمی
چکیده انگلیسی


• Experimental study of kinetics of the methane/steam reforming on Ni/YSZ catalyst.
• Problem analysis with the generalized least squares (GLS) method.
• Numerical modelling using kinetics equation modified by GLS method.
• GLS method provides most probable approximation of unknown empirical parameters.
• Evaluation of the errors and securing higher accuracy of unknowns and measurements.

This paper presents a novel approach to experimental and numerical investigations of the methane/steam reforming reaction process over a nickel/yttria-stabilized zirconia fine powder catalyst. Methane/steam reforming is primarily considered as a hydrogen production process for Solid Oxide Fuel Cells, and therefore its reaction kinetic was investigated experimentally and numerically. The present paper describes the innovative implementation of an orthogonal least squares (generalized least squares: GLS) algorithm for the calculation of the reaction kinetics involving precise information and the uncertainties of the obtained results. The GLS method was applied to evaluate the reaction rate and therefore fractional conversion of methane. An analysis of the mathematical model points out that the experimental inaccuracy could be reduced and allowed for the calculation of the most probable values of kinetic parameters and their uncertainties. The GLS method secures a higher accuracy of measured data and estimates the most probable value of all model parameters.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: International Journal of Hydrogen Energy - Volume 39, Issue 29, 2 October 2014, Pages 16372–16389
نویسندگان
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