کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
5006306 1461473 2018 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
An application of evolutionary system identification algorithm in modelling of energy production system
ترجمه فارسی عنوان
کاربرد الگوریتم شناسایی سیستم تکاملی در مدل سازی سیستم تولید انرژی
کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی کنترل و سیستم های مهندسی
چکیده انگلیسی
The present work introduces the literature review on System Identification (SI) by classifying it into several fields. The review summarizes the need of evolutionary SI method that automates the model structure selection and its parameter evaluation based on only the system data. In this context, the evolutionary SI approach of genetic programming (GP) is applied in modeling and optimization of cleaner energy system such as direct methanol fuel cell. The functional response of the power density of the fuel cell with respect to input conditions is selected based on the minimum training error. Further, an experimental data is used to validate the robustness of the formulated GP model. The analysis based on 2-D and 3-D parametric procedure is further conducted to reveals insights into functioning of the fuel cell. The pareto front obtained from optimization of model reveals that the operating temperature of 64.5 °C, methanol flow rate of 28.04 mL/min and methanol concentration of 0.29 M are the optimum settings for achieving the maximum power density of 7.36 mW/cm2 for DMFC.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Measurement - Volume 114, January 2018, Pages 122-131
نویسندگان
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