期刊
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
卷 159, 期 -, 页码 20-30出版社
ELSEVIER
DOI: 10.1016/j.chemolab.2016.09.010
关键词
Anaerobic digestion; Organic overload; Multivariate process monitoring; Hotelling's T-2
类别
资金
- European Union through the FEDER [001/GR/2/3/003]
A static multivariate statistical process control model based on principal component analysis (PCA-MSPC) was developed for an anaerobic reactor maintained in steady-state, joining the biogas composition (CH4, CO2, H-2) to the total solids (TS), volatile solids (VS), total inorganic carbon (TIC) and total ammonia nitrogen (TAN) contents of the slurry. The principal component analysis (PCA) highlighted a lack of correlation between the individual process variables (IPVs) measured in the slurry and the gas phase. The application of this model to the data set collected for an independent anaerobic reactor (fed with the same substrate) progressively led from steady-state to critical volatile fatty acids (VFA) intoxication did not allow evaluating its process status. A second static PCA-MSPC model was built for the steady-state reactor in excluding the TS and VS content of the slurry and was successfully transferred to the overfed reactor. The T-A(2) and SPE control charts built for the overfed reactor using this second model closely reflected its process status and delivered valuable warning signals approaching the VFA intoxication. The gas phase composition (CH4, CO2, H-2) brought the main contribution to these warnings.
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