Multi-block data analysis for online monitoring of anaerobic co-digestion process

摘要: Abstract Anaerobic digestion is a chemical process whose purpose to maximize biogas production whilst concomitantly treating organic waste mostly through co-digestion due the variety of substrates. To avoid failures, requires monitoring several parameters and / or inhibitors. The existing strategies methods used in still lack sensitivity robustness, when taken individually. current study investigated use sequential orthogonalized partial least squares (SO-PLS) regression relate these blocks data coming for near infrared spectroscopy, routine analysis kinetics production. models produced were able extract relevant information from each block’s discard redundancies. Moreover, meet plant operators’ requirements, variable selection was performed on using recent method: SO-CovSel. SO-CovSel method resulting coupling SO-PLS Covariance Selection (CovSel) method. has been demonstrated be suitable multi-response calibration purposes with calibration. It provided good predictions an interesting interpretation wavelengths involved stability anaerobic co-digestion.