FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4229062277> ?p ?o ?g. }

• W4229062277 endingPage "136774" @default.
• W4229062277 startingPage "136774" @default.
• W4229062277 abstract "• A comprehensive dataset (+2000 samples, in a 5 week-period) in the largest iWTS in Northern Europe. • Data reconciliation and fate of multiple compounds via overall mass balance. • An influent fractionation routine transferring measurements to model states (including pH). • A simulation plant-wide model is set-up to predict both mass and flows in multiple locations. • A scenario analysis is included. In this paper a set of mathematical tools are developed and assembled together to assess and predict mass and volumetric flows in waste treatment systems (WTS). The proposed approach is constructed upon a set of data reconciliation methods, influent fractionation routines and process simulations models (and model interfaces) to balance, analyze, reproduce and forecast the behavior of different compounds within treatment facilities. The proposed approach is tested on full-scale data collected after two five-week measuring campaigns at the largest industrial WTS in Northern Europe. Results show that the proposed reconciliation methodology based on the definition of the identity matrix, data curation, the estimation of missing fluxes and the calculation of Lagrange multipliers allowed to close flow and COD, N, P, S and multiple metals (Na, K, Ca, Mg and Al) mass balances. Plant-wide overall mass balance reveals that that: 1) 32% of the incoming COD is recovered mostly as methane, 2) 23% and 65% of COD and N are biologically removed and leave the system via the gas phase, 3) 32 % and 33% of COD and N are stored in the activated sludge, 4) > 70% of P, Ca, Mg and Al are accumulated in the bio-solids stream as precipitates and 5) > 70% of Na, K and S remain soluble and leave the plant via effluent. Plant measurements were allocated into the model states describing soluble/particulate and organic/inorganic loads arriving to the WTS under study. The average deviation between computer simulations and the result of the measuring campaign is 10.5%. This study also shows that the proposed approach is capable to reproduce main streams neutralization, volatile fatty acid production, particulate removal and nitrate denitrification in the anaerobic water line (buffer tank, primary clarifier, pre-acidification tank). It also correctly predicts organics transformation into biogas in the anaerobic granular sludge reactor. Lastly, it is possible to describe biological and chemical N and P removal processes in the activated sludge and the quality of bio-solids after inactivation/dewatering (reject water /cake). A scenario analysis is included showing the potential use of the presented tools under dynamic conditions. This is the first study where both tracking and prediction of multiple compounds in large industrial sites has been done at this level of detail. The tool resulting from this study can serve as starting point for a variety of applications, for instance: holistic evaluation of retrofitting scenarios, advanced plant-wide control strategie and environmental assessment." @default.
• W4229062277 created "2022-05-08" @default.
• W4229062277 creator A5022844637 @default.
• W4229062277 creator A5031282400 @default.
• W4229062277 creator A5032179437 @default.
• W4229062277 creator A5041541828 @default.
• W4229062277 creator A5075173639 @default.
• W4229062277 creator A5090948074 @default.
• W4229062277 date "2022-10-01" @default.
• W4229062277 modified "2023-10-17" @default.
• W4229062277 title "Prediction of mass and volumetric flows in a full-scale industrial waste treatment plant" @default.
• W4229062277 cites W1521665050 @default.
• W4229062277 cites W1755127878 @default.
• W4229062277 cites W1802426388 @default.
• W4229062277 cites W1909766570 @default.
• W4229062277 cites W1974800041 @default.
• W4229062277 cites W1981633906 @default.
• W4229062277 cites W1989569092 @default.
• W4229062277 cites W2001444451 @default.
• W4229062277 cites W2001696441 @default.
• W4229062277 cites W2003874162 @default.
• W4229062277 cites W2005823231 @default.
• W4229062277 cites W2014023425 @default.
• W4229062277 cites W2021765925 @default.
• W4229062277 cites W2039242737 @default.
• W4229062277 cites W2041783534 @default.
• W4229062277 cites W2046822061 @default.
• W4229062277 cites W2048214395 @default.
• W4229062277 cites W2048427080 @default.
• W4229062277 cites W2050755995 @default.
• W4229062277 cites W2053059515 @default.
• W4229062277 cites W2060834201 @default.
• W4229062277 cites W2082832309 @default.
• W4229062277 cites W2083830168 @default.
• W4229062277 cites W2084865582 @default.
• W4229062277 cites W2086812465 @default.
• W4229062277 cites W2089848749 @default.
• W4229062277 cites W2094295724 @default.
• W4229062277 cites W2128960941 @default.
• W4229062277 cites W2133776607 @default.
• W4229062277 cites W2139816774 @default.
• W4229062277 cites W2214281335 @default.
• W4229062277 cites W2257481305 @default.
• W4229062277 cites W2295888094 @default.
• W4229062277 cites W2300115162 @default.
• W4229062277 cites W2346412158 @default.
• W4229062277 cites W2515131455 @default.
• W4229062277 cites W2586062141 @default.
• W4229062277 cites W2589795665 @default.
• W4229062277 cites W2596596549 @default.
• W4229062277 cites W2605116146 @default.
• W4229062277 cites W2734825725 @default.
• W4229062277 cites W2754625564 @default.
• W4229062277 cites W2761748473 @default.
• W4229062277 cites W2768462059 @default.
• W4229062277 cites W2782235365 @default.
• W4229062277 cites W2799631390 @default.
• W4229062277 cites W2803850697 @default.
• W4229062277 cites W2886731865 @default.
• W4229062277 cites W2887838078 @default.
• W4229062277 cites W2887921136 @default.
• W4229062277 cites W2888743264 @default.
• W4229062277 cites W2908619578 @default.
• W4229062277 cites W2913128824 @default.
• W4229062277 cites W2920725223 @default.
• W4229062277 cites W3093267679 @default.
• W4229062277 cites W3093769956 @default.
• W4229062277 cites W3110100509 @default.
• W4229062277 cites W4210293347 @default.
• W4229062277 doi "https://doi.org/10.1016/j.cej.2022.136774" @default.
• W4229062277 hasPublicationYear "2022" @default.
• W4229062277 type Work @default.
• W4229062277 citedByCount "3" @default.
• W4229062277 countsByYear W42290622772022 @default.
• W4229062277 countsByYear W42290622772023 @default.
• W4229062277 crossrefType "journal-article" @default.
• W4229062277 hasAuthorship W4229062277A5022844637 @default.
• W4229062277 hasAuthorship W4229062277A5031282400 @default.
• W4229062277 hasAuthorship W4229062277A5032179437 @default.
• W4229062277 hasAuthorship W4229062277A5041541828 @default.
• W4229062277 hasAuthorship W4229062277A5075173639 @default.
• W4229062277 hasAuthorship W4229062277A5090948074 @default.
• W4229062277 hasBestOaLocation W42290622771 @default.
• W4229062277 hasConcept C121332964 @default.
• W4229062277 hasConcept C127413603 @default.
• W4229062277 hasConcept C205649164 @default.
• W4229062277 hasConcept C21880701 @default.
• W4229062277 hasConcept C2777874358 @default.
• W4229062277 hasConcept C2778755073 @default.
• W4229062277 hasConcept C39432304 @default.
• W4229062277 hasConcept C548081761 @default.
• W4229062277 hasConcept C58640448 @default.
• W4229062277 hasConcept C74650414 @default.
• W4229062277 hasConcept C87717796 @default.
• W4229062277 hasConceptScore W4229062277C121332964 @default.
• W4229062277 hasConceptScore W4229062277C127413603 @default.
• W4229062277 hasConceptScore W4229062277C205649164 @default.
• W4229062277 hasConceptScore W4229062277C21880701 @default.

• next