کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
1275493 1497564 2012 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Dynamic modeling of solid oxide fuel cell stack based on local linear model tree algorithm
موضوعات مرتبط
مهندسی و علوم پایه شیمی الکتروشیمی
پیش نمایش صفحه اول مقاله
Dynamic modeling of solid oxide fuel cell stack based on local linear model tree algorithm
چکیده انگلیسی

This paper presents a dynamic model for Solid Oxide Fuel Cell (SOFC) stack using Local Linear Model Tree (LOLIMOT) algorithm which is useful for both dynamic and steady-state studies. Most of conventional SOFC models require a large number of parameters and factors, which are difficult to be determined or estimated. In this paper, a LOLIMOT-based model, which does not require the parameters of fuel cell, is proposed for each operation mode of SOFC. In these models, decision tree-based feature selection approach is exploited to select inputs of the LOLIMOT. The proposed models are trained in a short time and they have little errors.In order to illustrate the effectiveness of the proposed models, they are applied to a simulated model of a 5-kW SOFC stack which show satisfactory results for both steady-state and dynamic studies. Furthermore, the proposed model demonstrates convincing results for real-time simulation studies.


► Local Linear Model Tree algorithm is successful in modeling solid oxide fuel cells.
► The model is useful for both dynamic and steady-state studies.
► The stack voltage and the active power of SOFC are chosen as the model outputs.
► Decision tree feature selection approach is used to select suitable model inputs.
► Current, temperature, pressure and fuel utilization are some of the model inputs.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: International Journal of Hydrogen Energy - Volume 37, Issue 5, March 2012, Pages 4367–4376
نویسندگان
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