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
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 44 mL CH4/g VS, while the combined model was 0.89 and 50 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
نویسندگان
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