کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
5759014 | 1623049 | 2017 | 37 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Rapid biochemical methane potential prediction of urban organic waste with near-infrared reflectance spectroscopy
ترجمه فارسی عنوان
پیش بینی احتمالی پتانسیل متان بر روی بیوشیمیایی زباله های زیستی شهری با طیف سنجی بازتابی نزدیک به مادون قرمز
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
علوم زمین و سیارات
فرآیندهای سطح زمین
چکیده انگلیسی
The anaerobic digestibility of various biomass feedstocks in biogas plants is determined with biochemical methane potential (BMP) assays. However, experimental BMP analysis is time-consuming, costly and challenging to optimise stock management and feeding to achieve improved biogas production. The aim of the present study is to develop a fast and reliable model based on near-infrared reflectance spectroscopy (NIRS) for the BMP prediction of urban organic waste (UOW). The model comprised 87 UOW samples. Additionally, 88 plant biomass samples were included, to develop a combined model predicting BMP. The coefficient of determination (R2) and root mean square error in prediction (RMSEP) of the UOW model were 0.88 and 44Â mL CH4/g VS, while the combined model was 0.89 and 50Â mL CH4/g VS. Improved model performance was obtained for the two individual models compared to the combined version. The BMP prediction with NIRS was satisfactory and moderately successful.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Water Research - Volume 119, 1 August 2017, Pages 242-251
Journal: Water Research - Volume 119, 1 August 2017, Pages 242-251
نویسندگان
T. Fitamo, J.M. Triolo, A. Boldrin, C. Scheutz,