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首页> 外文期刊>Journal of Biotechnology >Development of a hybrid model strategy for monitoring membrane bioreactors
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Development of a hybrid model strategy for monitoring membrane bioreactors

机译：开发用于监测膜生物反应器的混合模型策略

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In the present study, the performance of a membrane bioreactor (MBR) was modelled using a hybrid approach based on the activated sludge model number 3 (ASM3) combined with projection to latent structures (PLS) to predict the residuals of the ASM. The application of ASM to MBRs requires frequent re-calibration to adjust the model to variations in influent characteristics, determined through time-consuming analysis and batch tests. Considering this problem, the objective of this study was to improve ASM prediction ability with minimal additional monitoring effort. Hybrid models were developed to predict three MBR performance parameters: mixed liquor suspended solids (MLSS), COD in the permeate (CODp) and nitrite and nitrate concentration in the permeate (NOxp). For PLS modelling of ASM residuals three input strategies were used: (1) analytic and operating data; (2) operating data plus 2D fluorescence spectroscopy; (3) all the data. The first input strategy improved ASM prediction of the three selected outputs, and highlighted the lack of detailed and real-time information from wastewater and operating parameters in the ASM used in this study. In the second input strategy, the incorporation of updated data from 2D fluorescence spectroscopy resulted on better model fitting than in the first input strategy, for all the output parameters studied. Through the hybrid modelling approach it was possible to significantly improve the ASM predictions in real-time using 2D fluorescence measurements and other relevant parameters acquired on-line, without requiring further laboratory analysis. Furthermore, the third input strategy, incorporating all the collected data, did not significantly improve the prediction of the outputs beyond the second strategy. This shows that 2D fluorescence spectroscopy is a comprehensive monitoring tool, able to capture on-line the required information to complement, through hybrid modelling, the mechanistic information described by an ASM
机译：在本研究中，膜生物反应器（MBR）的性能是使用混合方法建模的，该方法基于3号活性污泥（ASM3）结合投影到潜在结构（PLS）来预测ASM的残留物。 ASM在MBR上的应用需要频繁的重新校准，以根据耗时的分析和批处理测试确定的进水特性变化来调整模型。考虑到这个问题，本研究的目的是通过最少的额外监测工作来提高ASM的预测能力。开发了混合模型来预测三个MBR性能参数：混合液悬浮固体（MLSS），渗透液中的COD（CODp）和渗透液中的亚硝酸盐和硝酸盐浓度（NOxp）。对于ASM残差的PLS建模，使用了三种输入策略：（1）分析和操作数据; （2）操作数据加二维荧光光谱; （3）所有数据。第一种输入策略改进了对三个选定输出的ASM预测，并强调了本研究中所使用的ASM中缺乏废水和运行参数的详细和实时信息。在第二种输入策略中，对于所有研究的输出参数，与第一种输入策略相比，二维荧光光谱法更新数据的合并产生了更好的模型拟合。通过混合建模方法，可以使用2D荧光测量和在线获取的其他相关参数实时显着改善ASM预测，而无需进一步的实验室分析。此外，结合了所有收集的数据的第三种输入策略并没有比第二种策略显着改善输出的预测。这表明2D荧光光谱法是一种综合的监视工具，能够在线捕获所需的信息，以通过混合建模来补充ASM描述的机械信息。

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