Rapid biochemical methane potential prediction of urban organic waste with near-infrared reflectance spectroscopy. (1st August 2017)

• Record Type: Journal Article
• Authors: Fitamo, T.; Triolo, J.M.; Boldrin, A.; Scheutz, C.
• Is Part Of: Water research. Volume 119(2017)
• Page Start: 242
• Page End: 251
• Publication Date: 2017-08-01
• Subjects: Anaerobic digestion -- Biogas -- Digestibility -- Biochemical methane potential -- NIR spectroscopy -- PLS modelling; Water -- Pollution -- Research -- Periodicals; 363.7394
• DOI: 10.1016/j.watres.2017.04.051
• Languages: English
• ISSNs: 0043-1354

Abstract

Abstract: 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 ( R 2 ) 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. Highlights: Developing a use of NIRS for BMP prediction of urban organic waste. R 2 and RMSEP of the urban organic waste model was 0.88 and 44 mL CH4 /g VS. Slightly larger model error for the combined BMP data for variety of samples. The BMP prediction with NIRS was satisfactory and moderately successful.