期刊
CHEMOSPHERE
卷 146, 期 -, 页码 539-546出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.chemosphere.2015.11.121
关键词
Siloxane; Biogas; Biotrickling filter; Process mapping; Mathematical modeling; RSM (response surface methodology)
资金
- Natural Resources Canada's Decentralized Energy Production Initiative
- Environment Canada
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. (C) 2015 Elsevier Ltd. All rights reserved.
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