کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4997953 1459918 2017 27 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Probabilistic uncertainty analysis based on Monte Carlo simulations of co-combustion of hazelnut hull and coal blends: Data-driven modeling and response surface optimization
ترجمه فارسی عنوان
تجزیه و تحلیل عدم قطعیت احتمالی بر اساس شبیه سازی مونت کارلو احیا همزمان فندق و مخلوط ذغال سنگ: بهینه سازی سطح مدل سازی و پاسخ دادن به داده ها
کلمات کلیدی
پوست فندق، احتراق همگانی، چندین رگرسیون غیر خطی، بهینه سازی سطح پاسخ، شبیه سازی مونت کارلو،
موضوعات مرتبط
مهندسی و علوم پایه مهندسی شیمی تکنولوژی و شیمی فرآیندی
چکیده انگلیسی
The aim of present study is to investigate the thermogravimetric behaviour of the co-combustion of hazelnut hull (HH) and coal blends using three approaches: multi non-linear regression (MNLR) modeling based on Box-Behnken design (BBD) (1), optimization based on response surface methodology (RSM) (2), and probabilistic uncertainty analysis based on Monte Carlo simulation as a function of blend ratio, heating rate, and temperature (3). The response variable was predicted by the best-fit MNLR model with a predicted regression coefficient (R2pred) of 99.5%. Blend ratio of 90/10 (HH to coal, %wt), temperature of 405°C, and heating rate of 44°C min−1 were determined as RSM-optimized conditions with a mass loss of 87.4%. The validation experiments with three replications were performed for justifying the predicted-mass loss percentage and 87.5% ± 0.2 of mass loss were obtained under RSM-optimized conditions. The probabilistic uncertainty analysis were performed by using Monte Carlo simulations.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Bioresource Technology - Volume 225, February 2017, Pages 106-112
نویسندگان
,