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Application of unsupervised learning and process simulation for energy optimization of a WWTP under various weather conditions
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Sina Borzooei, Sina, Miranda, Gisele H. B., Abolfathi, Soroush, Scibilia, Gerardo, Meucci, Lorenza and Zanetti, Maria Chiara (2020) Application of unsupervised learning and process simulation for energy optimization of a WWTP under various weather conditions. Water Science & Technology . wst2020220. doi:10.2166/wst.2020.220 ISSN 0273-1223.
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Official URL: https://doi.org/10.2166/wst.2020.220
Abstract
This paper outlines a hybrid modeling approach to facilitate weather-based operation and energy optimization for the largest Italian wastewater treatment plant (WWTP). Two clustering methods, K-means algorithm and Gaussian mixture model (GMM) based on the expectation-maximization (EM) algorithm, were applied to an extensive data set of historical and meteorological records. This study addresses the problem of determining the intrinsic structure of clustered data when no information other than the observed values is available. Two quantitative indexes, namely the Bayesian Information Criterion (BIC) and the Silhouette coefficient using Euclidean distance, as well as two
general criteria, were implemented to assess the clustering quality. Furthermore, seven weather based influent scenarios were introduced to the process simulation model, and sets of aeration strategies are proposed. The results indicate that incorporating weather-based aeration strategies in the operation of WWTP improves plant energy efficiency.
| Item Type: | Journal Article | ||||||||
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| Subjects: | T Technology > TA Engineering (General). Civil engineering (General) T Technology > TC Hydraulic engineering. Ocean engineering T Technology > TD Environmental technology. Sanitary engineering |
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| Divisions: | Faculty of Science, Engineering and Medicine > Engineering > Engineering | ||||||||
| Library of Congress Subject Headings (LCSH): | Sewage -- Purification -- Mathematical models, Sewage -- Purification -- Simulation methods, Sewage disposal plants, Sewage -- Purification -- Nutrient removal, Water treatment plants -- Simulation methods, Water -- Purification -- Simulation methods, Water-supply engineering -- Technological innovations, Sewage disposal -- Technological innovations | ||||||||
| Journal or Publication Title: | Water Science & Technology | ||||||||
| Publisher: | IWA Publishing | ||||||||
| ISSN: | 0273-1223 | ||||||||
| Official Date: | 2020 | ||||||||
| Dates: |
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| Article Number: | wst2020220 | ||||||||
| DOI: | 10.2166/wst.2020.220 | ||||||||
| Status: | Peer Reviewed | ||||||||
| Publication Status: | Published | ||||||||
| Access rights to Published version: | Open Access (Creative Commons) | ||||||||
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