title: Regression based state space adaptive model of two-phase anaerobic reactor.
abstract: In this paper, a linear state space model for the two-phase anaerobic reactor system was developed based on historical data. Subsequently, the model was used to predict its future behavior. The state space model developed involved correlation analysis and model development. The model would be updated at every time point when a new data set became available, giving it an "adaptive" feature. The model was then applied to monitor two-phase anaerobic co-digestion of a feed comprising 2 industrial secondary sludges and 2 industrial wastewaters. The case study showed the proposed model was able to provide good predictions of various process parameters. In addition, it also predicted impending process failure and this would have allowed the operator to take necessary measures to prevent or reduce impact of such failure during plant operation.
authors.affiliation: Advanced Environmental Biotechnology Center, Nanyang Environment and Water Research Institute, Nanyang Technological University, Singapore.
authors.forename: Antonius Yudi
authors.initials: AY
authors.lastname: Sendjaja
authors.affiliation: Advanced Environmental Biotechnology Center, Nanyang Environment and Water Research Institute, Nanyang Technological University, Singapore; School of Public Health, Shanghai Jiaotong University, Shanghai, PR China. Electronic address: youmingtan@ntu.edu.sg.
authors.forename: Youming
authors.initials: Y
authors.lastname: Tan
authors.affiliation: Advanced Environmental Biotechnology Center, Nanyang Environment and Water Research Institute, Nanyang Technological University, Singapore.
authors.forename: Santosh
authors.initials: S
authors.lastname: Pathak
authors.affiliation: Advanced Environmental Biotechnology Center, Nanyang Environment and Water Research Institute, Nanyang Technological University, Singapore.
authors.forename: Yan
authors.initials: Y
authors.lastname: Zhou
authors.affiliation: Nanyang Environment and Water Research Institute, Nanyang Technological University, Singapore.
authors.forename: Maszenan
authors.initials: M
authors.lastname: Bin Abdul Majid
authors.affiliation: Sembcorp Industries Ltd., Jurong Island, Singapore.
authors.forename: Jian Lin
authors.initials: JL
authors.lastname: Liu
authors.affiliation: Advanced Environmental Biotechnology Center, Nanyang Environment and Water Research Institute, Nanyang Technological University, Singapore; Nanyang Environment and Water Research Institute, Nanyang Technological University, Singapore; School of Civil and Environmental Engineering, Nanyang Technological University, Singapore. Electronic address: wjng@ntu.edu.sg.
authors.forename: Wun Jern
authors.initials: WJ
authors.lastname: Ng
mesh_terms: D000693:Anaerobiosis; D001421:Bacteria, Anaerobic; D019149:Bioreactors / Q000706:statistics & numerical data*; D008962:Models, Theoretical; D012722:Sewage; D014865:Waste Disposal, Fluid / Q000379:methods* / Q000706:statistics & numerical data
chemical_list: D012722:Sewage
keywords: Adaptive model; Anaerobic reactor; Biogas; Process control; Volatile fatty acids (VFAs)