Chemical Engineering Laboratory, Faculty of Sciences, University of La Coruña, Rúa da Fraga, 10, E-15008 La Coruña, Spain.
Chemical Engineering Laboratory, Faculty of Sciences, University of La Coruña, Rúa da Fraga, 10, E-15008 La Coruña, Spain; Department of Environmental Engineering and Water Technology, UNESCO-IHE, P.O. Box 3015, 2601 DA Delft, The Netherlands.
J Hazard Mater. 2017 Feb 15;324(Pt A):100-109. doi: 10.1016/j.jhazmat.2016.03.018. Epub 2016 Mar 8.
A two-stage biological waste gas treatment system consisting of a first stage biotrickling filter (BTF) and second stage biofilter (BF) was tested for the removal of a gas-phase methanol (M), hydrogen sulphide (HS) and α-pinene (P) mixture. The bioreactors were tested with two types of shock loads, i.e., long-term (66h) low to medium concentration loads, and short-term (12h) low to high concentration loads. M and HS were removed in the BTF, reaching maximum elimination capacities (EC) of 684 and 33 gmh, respectively. P was removed better in the second stage BF with an EC of 130 gmh. The performance was modelled using two multi-layer perceptrons (MLPs) that employed the error backpropagation with momentum algorithm, in order to predict the removal efficiencies (RE, %) of methanol (RE), hydrogen sulphide (RE) and α-pinene (RE), respectively. It was observed that, a MLP with the topology 3-4-2 was able to predict RE and RE in the BTF, while a topology of 3-3-1 was able to approximate RE in the BF. The results show that artificial neural network (ANN) based models can effectively be used to model the transient-state performance of bioprocesses treating gas-phase pollutants.
一个由一级生物滴滤塔（BTF）和二级生物过滤器（BF）组成的两阶段生物废气处理系统，用于去除气相甲醇（M）、硫化氢（HS）和α-蒎烯（P）混合物。生物反应器受到两种类型的冲击负荷的测试，即长期（66h）低到中等浓度负荷和短期（12h）低到高浓度负荷。M 和 HS 在 BTF 中被去除，达到了 684 和 33 gmh 的最大去除能力（EC）。P 在第二级 BF 中的去除效果更好，EC 为 130 gmh。使用两个多层感知器（MLPs）进行建模，该模型采用误差反向传播和动量算法，分别预测甲醇（RE）、硫化氢（RE）和α-蒎烯（RE）的去除效率（RE）。结果表明，拓扑结构为 3-4-2 的 MLP 能够预测 BTF 中的 RE 和 RE，而拓扑结构为 3-3-1 的 MLP 能够近似 BF 中的 RE。结果表明，基于人工神经网络（ANN）的模型可以有效地用于模拟处理气相污染物的生物过程的瞬态性能。
