title: Insights into siloxane removal from biogas in biotrickling filters via process mapping-based analysis.
abstract: Data process mapping using response surface methodology (RSM)-based computational techniques is performed in this study for the diagnosis of a laboratory-scale biotrickling filter applied for siloxane (i.e. octamethylcyclotetrasiloxane (D4) and decamethylcyclopentasiloxane (D5)) removal from biogas. A mathematical model describing the process performance (i.e. Si removal efficiency, %) was obtained as a function of key operating parameters (e.g biogas flowrate, D4 and D5 concentration). The contour plots and the response surfaces generated for the obtained objective function indicate a minimization trend in siloxane removal performance, however a maximum performance of approximately 60% Si removal efficiency was recorded. Analysis of the process mapping results provides indicators of improvement to biological system performance.
authors.affiliation: Technical University ''Gheorghe Asachi'' of Iasi, Faculty of Chemical Engineering and Environmental Protection, Department of Environmental Engineering and Management, 73 D. Mangeron Blvd, Iasi, 700050, Romania. Electronic address: gsor10@yahoo.ca.
authors.forename: Gabriela
authors.initials: G
authors.lastname: Soreanu
mesh_terms: D056804:Biofuels / Q000032:analysis*; D005374:Filtration / Q000295:instrumentation* / Q000379:methods; D008962:Models, Theoretical; D010865:Pilot Projects; D011550:Pseudomonas aeruginosa / Q000254:growth & development*; D012833:Siloxanes / Q000302:isolation & purification*; D013499:Surface Properties
chemical_list: D056804:Biofuels; D012833:Siloxanes; C114768:decamethylcyclopentasiloxane; C024064:octamethylcyclotetrasiloxane
keywords: Biogas; Biotrickling filter; Mathematical modeling; Process mapping; RSM (response surface methodology); Siloxane