کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
11023674 | 1701254 | 2019 | 8 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Optimization of process parameters for anaerobic fermentation of corn stalk based on least squares support vector machine
ترجمه فارسی عنوان
بهینه سازی پارامترهای فرآیند برای تخمیر بی هوازی از ساقه ذرت بر اساس حداقل مربعات پشتیبانی از دستگاه بردار
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موضوعات مرتبط
مهندسی و علوم پایه
مهندسی شیمی
تکنولوژی و شیمی فرآیندی
چکیده انگلیسی
In order to improve the yield and efficiency of biogas produced from anaerobic fermentation of corn stalk, least squares support vector machine (LS-SVM) was used to optimize the pretreatment process parameters. Weight of corn stalk, ultrasonic duration time, alkali pretreatment (2% NaOH) time, and single/dual-frequency ultrasound were selected as the experimental factors of orthogonal experimental design (OED). A new modeling method combining LS-SVM and OED was proposed to establish the predictive model between cumulative biogas production (CBP) and pretreatment process parameters. The effect of experimental factors on CBP was analyzed by two-dimensional (2D) and three-dimensional (3D) contour maps of the predictive model. The optimum parameters for process pretreatment were as follows: weight of corn stalk 53â¯g, dual-frequency ultrasound, ultrasonic duration time 33â¯min, alkali pretreatment time 56â¯h. The CBP of the optimal conditions obtained was 22.69â¯L and was 14.13% higher than that of optimal conditions for OED.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Bioresource Technology - Volume 271, January 2019, Pages 174-181
Journal: Bioresource Technology - Volume 271, January 2019, Pages 174-181
نویسندگان
Cuiying Dong, Juan Chen,