Soreanu Gabriela
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.
Chemosphere. 2016 Mar;146:539-46. doi: 10.1016/j.chemosphere.2015.11.121. Epub 2015 Dec 30.
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.
本研究采用基于响应面法（RSM）的计算技术进行数据过程映射，以诊断用于从沼气中去除硅氧烷（即八甲基环四硅氧烷（D4）和十甲基环五硅氧烷（D5））的实验室规模生物滴滤器。获得了一个描述过程性能（即硅去除效率，%）的数学模型，该模型是关键操作参数（如沼气流量、D4和D5浓度）的函数。为所得目标函数生成的等高线图和响应面表明硅氧烷去除性能呈最小化趋势，然而记录到的最大性能为约60%的硅去除效率。对过程映射结果的分析提供了生物系统性能改进的指标。
