کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6640835 461158 2013 7 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Prediction of quality parameters of biomass pellets from proximate and ultimate analysis
ترجمه فارسی عنوان
پیش بینی پارامترهای کیفیت گلوله های زیست توده از تجزیه و تحلیل نزدیک و نهایی
کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه مهندسی شیمی مهندسی شیمی (عمومی)
چکیده انگلیسی
The real-time prediction of crucial biomass pellet quality parameters such as higher heating value (HHV) and mechanical durability (MD) will allow for more efficient operation of energy production systems. Multiple linear regression (MLR) models were developed to predict HHV and MD from proximate and ultimate analysis of biomass pellets. A diverse range of biomasses from energy crops including pine, Miscanthus, reed canary grass, tall fescue and short rotation coppice willow were used to produce the pellets. HHV and MD of the pellets were predicted with coefficients of determination of 0.99 and 0.94, respectively, and standard errors of the estimate of 0.08 MJ kg−1 (Range: 16.39-18.92 MJ kg−1) and 0.49% (Range: 92.6-97.5%), respectively. This study demonstrates that MLR can be used to predict additional information of HHV and MD of biomass pellets from proximate and ultimate analysis. Important quality indices for diverse biomass pellets are also reported.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Fuel - Volume 111, September 2013, Pages 771-777
نویسندگان
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