کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
209983 461695 2013 7 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Explaining the relationship between common coal analyses and Afghan coal parameters using statistical modeling methods
موضوعات مرتبط
مهندسی و علوم پایه مهندسی شیمی مهندسی شیمی (عمومی)
پیش نمایش صفحه اول مقاله
Explaining the relationship between common coal analyses and Afghan coal parameters using statistical modeling methods
چکیده انگلیسی

This study investigates the effects of proximate, ultimate and elemental analysis for Afghan coal samples on Hardgrove grindability index (HGI), Gross calorific value (GCV), and Ash fusion temperatures (AFTs) by using multivariable regression (MR) and Adaptive neuro-fuzzy inference system (ANFIS) to increase information about the properties of the Afghan coal. Statistical modeling (MR, and ANFIS) indicated that coal parameters (HGI, GCV, AFTs) can be predicted with high accuracy, where GCV, AFTs, and HGI were estimated by R2 = 0.99, 0.95, and 0.94, respectively. The small difference between the estimated parameters and their actual values shows that these accurate results can be also applied to estimate coal properties in other coal resources of Afghanistan.


► Properties of Afghan coal parameters were investigated based on common coal analyses.
► Statistical modeling indicated that Afghan coal parameters are accurately predictable.
► Results recommended a methodology which can be applied for other coal resources.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Fuel Processing Technology - Volume 110, June 2013, Pages 79–85
نویسندگان
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