کد مقاله کد نشریه سال انتشار مقاله انگلیسی ترجمه فارسی نسخه تمام متن
8879915 1624790 2018 13 صفحه PDF سفارش دهید دانلود کنید
عنوان انگلیسی مقاله ISI
Optimization of specific methane yield prediction models for biogas crops based on lignocellulosic components using non-linear and crop-specific configurations
ترجمه فارسی عنوان
بهینه سازی مدل های پیش بینی عملکرد خاص متان برای محصولات بیوگاز بر اساس اجزای لیگنوسلولز با استفاده از پیکره بندی های غیر خطی و
موضوعات مرتبط
علوم زیستی و بیوفناوری علوم کشاورزی و بیولوژیک علوم زراعت و اصلاح نباتات
چکیده انگلیسی
Basing the prediction of specific methane yield (SMY) of crop biomass on lignocellulosic components has become a promising tool in biogas plant management and bioenergy policies. Most studies on SMY prediction provide linear or non-linear models across crops with lignin content as major regressor variable. To determine the effect of crop-specific regressions, a meta-analysis was conducted using data from 14 published studies (518 observations) and three of the authors' own experiments (160 observations). In total, 678 observations of biomass components and SMY from 13 potential biogas crops were included. The data were used to validate seven published models and both develop and cross-validate new linear and non-linear models with and without crop-specific regressions. Available models showed correlations between r = 0.12 and 0.51. New models reached correlations of up to r = 0.66. Both crop-specific intercepts and slopes as well as non-linear regressions significantly increased model predictability. Of these, crop-specific intercepts brought about the largest improvement but still allowed easy use and interpretability. Therefore, it was shown that the use of biomass source information can help optimize the precision of SMY prediction.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Industrial Crops and Products - Volume 120, 15 September 2018, Pages 330-342
نویسندگان
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