Rapid biochemical methane potential prediction of urban organic waste with near-infrared reflectance spectroscopy

Temesgen Mathewos Fitamo, Jin Mi Triolo, Alessio Boldrin, Charlotte Scheutz

Research output: Contribution to journalJournal articleResearchpeer-review

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 (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.
Original languageEnglish
JournalWater Research
Volume119
Issue number242-251
Pages (from-to)242-251
ISSN0043-1354
DOIs
Publication statusPublished - 2017

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