کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
1180355 | 962847 | 2008 | 11 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Prediction of coal hydrogen content for combustion control in power utility using neural network approach
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
شیمی
شیمی آنالیزی یا شیمی تجزیه
پیش نمایش صفحه اول مقاله

چکیده انگلیسی
The solid nature of coal presents greater difficulties in measuring and controlling the combustion process compared to gas and oil fired power plants. Knowing the composition and energy content of coal can be very useful for combustion control in coal-fired power utilities. In this work, an attempt is made to establish relationships between the hydrogen composition of coal and available data from the proximate analysis. In the present work, artificial neural network based model is developed for the prediction of hydrogen content. For practical implications, a combustion control system utilising the neural network based model is also proposed to show the potential for coal-fired utilities.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Chemometrics and Intelligent Laboratory Systems - Volume 94, Issue 2, 15 December 2008, Pages 149–159
Journal: Chemometrics and Intelligent Laboratory Systems - Volume 94, Issue 2, 15 December 2008, Pages 149–159
نویسندگان
A. Saptoro, H.M. Yao, M.O. Tadé, H.B. Vuthaluru,