Matches in SemOpenAlex for { <https://semopenalex.org/work/W4385201861> ?p ?o ?g. }
- W4385201861 endingPage "375" @default.
- W4385201861 startingPage "375" @default.
- W4385201861 abstract "The anaerobic digestion of sewage sludge in South Korean wastewater treatment plants is affected by seasonal factors and other influences, resulting in lower digestion efficiency and gas production, which cannot reach optimal yields. The aim of this study was to improve the digestion efficiency and gas production of sludge anaerobic digestion in a wastewater treatment plant (WWTP) by using data mining techniques to adjust operational parameters. Through experimental data obtained from the WWTP in Daegu City, South Korea, an artificial neural network (ANN) technology was used to adjust the range of the organic loading rate (OLR) and hydraulic retention rate (HRT) to improve the efficiency and methane gas production from anaerobic sludge digestion. Data sources were normalized, and data analysis including Pearson correlation analysis, multiple regression analysis and an artificial neural network for optimal results. The results of the study showed a predicted 0.5% increase in digestion efficiency and a 1.3% increase in gas production at organic loads of 1.26–1.46 kg/m3 day and an HRT of 26–30 days. This shows that the ANN model that we established is feasible and can be used to improve the efficiency and gas production of sludge anaerobic digestion." @default.
- W4385201861 created "2023-07-25" @default.
- W4385201861 creator A5005702008 @default.
- W4385201861 creator A5010441153 @default.
- W4385201861 creator A5073858006 @default.
- W4385201861 date "2023-07-22" @default.
- W4385201861 modified "2023-09-28" @default.
- W4385201861 title "Derivation of Optimal Operation Factors of Anaerobic Digesters through Artificial Neural Network Technology" @default.
- W4385201861 cites W1464472341 @default.
- W4385201861 cites W1991186897 @default.
- W4385201861 cites W1994044024 @default.
- W4385201861 cites W2013179776 @default.
- W4385201861 cites W2024397118 @default.
- W4385201861 cites W2038381734 @default.
- W4385201861 cites W2079614042 @default.
- W4385201861 cites W2131732818 @default.
- W4385201861 cites W2158008022 @default.
- W4385201861 cites W2201349094 @default.
- W4385201861 cites W2467439687 @default.
- W4385201861 cites W2503051870 @default.
- W4385201861 cites W2753905037 @default.
- W4385201861 cites W2804825791 @default.
- W4385201861 cites W2917529182 @default.
- W4385201861 cites W2918491972 @default.
- W4385201861 cites W2932756549 @default.
- W4385201861 cites W2944321679 @default.
- W4385201861 cites W2995846745 @default.
- W4385201861 cites W3007757714 @default.
- W4385201861 cites W3010616240 @default.
- W4385201861 cites W3011197108 @default.
- W4385201861 cites W3025320029 @default.
- W4385201861 cites W3086229206 @default.
- W4385201861 cites W3086673933 @default.
- W4385201861 cites W3091823377 @default.
- W4385201861 cites W3202223273 @default.
- W4385201861 cites W3216248147 @default.
- W4385201861 cites W4220797372 @default.
- W4385201861 cites W4224303522 @default.
- W4385201861 cites W4225145962 @default.
- W4385201861 cites W4237007220 @default.
- W4385201861 cites W4251054328 @default.
- W4385201861 cites W4281641240 @default.
- W4385201861 cites W4303520538 @default.
- W4385201861 cites W4306407460 @default.
- W4385201861 cites W4309434748 @default.
- W4385201861 cites W4310906803 @default.
- W4385201861 cites W4311262922 @default.
- W4385201861 cites W4311994111 @default.
- W4385201861 cites W4316035488 @default.
- W4385201861 cites W4317469209 @default.
- W4385201861 cites W4319316289 @default.
- W4385201861 cites W4321497206 @default.
- W4385201861 cites W4322760708 @default.
- W4385201861 cites W4327695168 @default.
- W4385201861 cites W4328052575 @default.
- W4385201861 cites W4361216105 @default.
- W4385201861 cites W4366685165 @default.
- W4385201861 doi "https://doi.org/10.3390/systems11070375" @default.
- W4385201861 hasPublicationYear "2023" @default.
- W4385201861 type Work @default.
- W4385201861 citedByCount "0" @default.
- W4385201861 crossrefType "journal-article" @default.
- W4385201861 hasAuthorship W4385201861A5005702008 @default.
- W4385201861 hasAuthorship W4385201861A5010441153 @default.
- W4385201861 hasAuthorship W4385201861A5073858006 @default.
- W4385201861 hasBestOaLocation W43852018611 @default.
- W4385201861 hasConcept C119857082 @default.
- W4385201861 hasConcept C127413603 @default.
- W4385201861 hasConcept C185592680 @default.
- W4385201861 hasConcept C18903297 @default.
- W4385201861 hasConcept C2780859252 @default.
- W4385201861 hasConcept C2781357212 @default.
- W4385201861 hasConcept C39432304 @default.
- W4385201861 hasConcept C41008148 @default.
- W4385201861 hasConcept C42407357 @default.
- W4385201861 hasConcept C43617362 @default.
- W4385201861 hasConcept C499616599 @default.
- W4385201861 hasConcept C50644808 @default.
- W4385201861 hasConcept C5140985 @default.
- W4385201861 hasConcept C516920438 @default.
- W4385201861 hasConcept C528095902 @default.
- W4385201861 hasConcept C548081761 @default.
- W4385201861 hasConcept C57442070 @default.
- W4385201861 hasConcept C58790150 @default.
- W4385201861 hasConcept C84250820 @default.
- W4385201861 hasConcept C86803240 @default.
- W4385201861 hasConcept C87717796 @default.
- W4385201861 hasConcept C94061648 @default.
- W4385201861 hasConceptScore W4385201861C119857082 @default.
- W4385201861 hasConceptScore W4385201861C127413603 @default.
- W4385201861 hasConceptScore W4385201861C185592680 @default.
- W4385201861 hasConceptScore W4385201861C18903297 @default.
- W4385201861 hasConceptScore W4385201861C2780859252 @default.
- W4385201861 hasConceptScore W4385201861C2781357212 @default.
- W4385201861 hasConceptScore W4385201861C39432304 @default.
- W4385201861 hasConceptScore W4385201861C41008148 @default.
- W4385201861 hasConceptScore W4385201861C42407357 @default.
- W4385201861 hasConceptScore W4385201861C43617362 @default.