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Critical sedimentation velocity
No full textMellansedimenteringsbassänger är inte sällan flaskhalsen för flödeskapaciteten vid reningsverk. För höga flöden kan leda till slamflykt, vilket påverkar efterkommande reningssteg negativt. Om en stor mängd slam från systemet försvinner kan detta även påverka det biologiska reningssteget negativt. Att förstå dynamiken av slamkvalitet och flödeskapaciteten är därmed viktigt både för att veta hur nya bassänger ska dimensioneras och för att bestämma belastningen för befintliga bassänger. Syftet med denna studie var att utvärdera flödeskapaciteten för mellansedimenteringen för det biologiska reningssteg C vid Kungsängsverket, Uppsala Vatten och Avfall AB:s största reningsverk. Syftet var också att studera hur temperaturen påverkade flödeskapaciteten. Genom att utföra sedimenteringstester med slam från Biosteg C vid olika koncentrationer och temperaturer kunde slammets kvalitet kvantifieras och användas för beräkningar och simuleringar för utvärdering av flödeskapaciteten. Sedimenteringstesterna visade på en tydlig skillnad i sedimenteringshastiget vid de olika temperaturerna. I Stokes lag användes olika värden på densiteten och viskositeten, vilka är parametrarna som förändras med temperaturen, för att undersöka en förväntad förändring i sedimenteringshastiget. Kvoten mellan 20 och 5° C var cirka 2 och kvoten mellan 10 och 5° C var cirka 1,2. Kvoterna mellan sedimenteringstesten varierade, men resultatet visade på en liknande trend som för Stokes lag. Bürger-Diehls och Takács sedimenteringsmodeller användes i den här rapporten med Takács sedimenteringsfunktion. Bürger-Diehlmodellen användes för att kalibrera parametrarna i Takács sedimenteringsfunktion, vilket gjordes genom att simulera sedimenteringstest och minimera felet mot den verkliga slamnivån vid sedimenteringstesten. Parametern 0 minskade med ökande temperatur vilket är en omvänd trend jämfört med litteratur. Parametern h minskade med temperaturen vilket stämmer överens med litteratur. Flödeskapaciteten utvärderades vid konstant och dynamiskt flöde. För det konstanta flödet användes olika modeller, State Point-analys, Takács sedimenteringsmodell samt Bürger-Diehls sedimenteringsmodell med 10 och 30 lager. Alla modeller visade på ökande flödeskapacitet med ökande temperatur. Takács och Bürger-Diehl med 10 lager gav mindre noggranna resultat på grund av den låga mängden lager så för det dynamiska flödessimuleringarna användes bara Bürger-Diehlmodellen med 30 lager. Dessa simuleringar visade liknade resultat som för det konstanta flöden vid 6° C och 12° C. Vid 22° C visade däremot det dynamiska resultatet på en lägre kapacitet än för det konstanta flödet. Trots att sedimenteringstesten och de skattade modellparamterarna visade på en icke försumbar temperaturpåverkan ingår inte temperaturen i de använda sedimenteringsmodellerna. Detta kan leda till överskattning av flödeskapaciteten vintertid, exempelvis vid snösmältning. I framtiden bör därför detta tas hänsyn till vid dimensionering/modellering av mellansedimenteringsbassänger.Secondary sedimentation tanks are usually the bottleneck of the flow capacity for wastewater treatment plants. High flows risk sludge escaping the system, which can negatively affect the following treatment steps. If a greater amount of the activated sludge escapes, the treatment efficiency could greatly decrease. Understanding the dynamic of sludge quality and flow capacity is detrimental to designing new secondary settling tanks and determining capacity of existing ones. The purpose of this study was to evaluate the flow capacity of the secondary settling tank for the biological treatment step C at Kungsängsverket, Uppsala Vatten och Avfall AB’s biggest wastewater treatment plant. The purpose was to study how different temperatures affected the flow capacity as well. By performing batch settling tests with sludge from the biological treatment step C, with different concentrations and temperatures, the sludge quality was quantified and could be used for calculations and simulations to evaluate the flow capacity. A clear distinction in the zone settling velocity could be observed between the different temperatures. Different values for the density and viscosity, correlated to the different temperatures used for the batch tests, were used in Stoke’s law to get an expected change of velocity. Between 20° and 5° C the quota was roughly 2 and between 10° and 5° C it was around 1,2. The quota for the batch tests differed randomly for the different concentrations, but the result indicated a similar trend as for Stokes law. The Bürger-Diehl and Takács sedimentation models were used for this study with the sedimentation function of Takács. The Bürger-Diehl model was used to calibrate the parameters in Takács function. This was done by simulating a batch test and minimizimg the sum of squared error compared to the actual sludge level from the batch test. The parameter 0 decreased in value with increasing temperature, which is a reversed trend seen from the literature. The parameter rh decreased with increasing temperature, which follows literature trends. The flow capacity was evaluated for a constant and dynamic flow. Constant flow was used with different models for comparison, which were, State point analysis, the Takács sedimentation model and the Bürger-Diehl sedimentation model with 10 and 30 layers. The result from all models indicated a higher flow capacity the higher the temperature. The flow capacity with Takács and Bürger-Diehl models with 10 layers gave a lower flow capacity than expected, which was because of the low resolution, therefore, the Bürger-Diehl model with 30 layers was used for the dynamic flow. The dynamic flow gave a similar result for 6° and 12° C, however, for 22° C the flow capacity was lower for the dynamic flow. Even though the batch tests and the estimated parameters showed a difference with temperature, it’s not included in any sedimentation model. This could lead to an overestimation of the flow capacity during wintertime, for example during snowmelt. Further research should be conducted to confirm these results and possibly be interpreted for future modelling of secondary sedimentation tanks
Critical sedimentation velocity
No full textMellansedimenteringsbassänger är inte sällan flaskhalsen för flödeskapaciteten vid reningsverk. För höga flöden kan leda till slamflykt, vilket påverkar efterkommande reningssteg negativt. Om en stor mängd slam från systemet försvinner kan detta även påverka det biologiska reningssteget negativt. Att förstå dynamiken av slamkvalitet och flödeskapaciteten är därmed viktigt både för att veta hur nya bassänger ska dimensioneras och för att bestämma belastningen för befintliga bassänger. Syftet med denna studie var att utvärdera flödeskapaciteten för mellansedimenteringen för det biologiska reningssteg C vid Kungsängsverket, Uppsala Vatten och Avfall AB:s största reningsverk. Syftet var också att studera hur temperaturen påverkade flödeskapaciteten. Genom att utföra sedimenteringstester med slam från Biosteg C vid olika koncentrationer och temperaturer kunde slammets kvalitet kvantifieras och användas för beräkningar och simuleringar för utvärdering av flödeskapaciteten. Sedimenteringstesterna visade på en tydlig skillnad i sedimenteringshastiget vid de olika temperaturerna. I Stokes lag användes olika värden på densiteten och viskositeten, vilka är parametrarna som förändras med temperaturen, för att undersöka en förväntad förändring i sedimenteringshastiget. Kvoten mellan 20 och 5° C var cirka 2 och kvoten mellan 10 och 5° C var cirka 1,2. Kvoterna mellan sedimenteringstesten varierade, men resultatet visade på en liknande trend som för Stokes lag. Bürger-Diehls och Takács sedimenteringsmodeller användes i den här rapporten med Takács sedimenteringsfunktion. Bürger-Diehlmodellen användes för att kalibrera parametrarna i Takács sedimenteringsfunktion, vilket gjordes genom att simulera sedimenteringstest och minimera felet mot den verkliga slamnivån vid sedimenteringstesten. Parametern 0 minskade med ökande temperatur vilket är en omvänd trend jämfört med litteratur. Parametern h minskade med temperaturen vilket stämmer överens med litteratur. Flödeskapaciteten utvärderades vid konstant och dynamiskt flöde. För det konstanta flödet användes olika modeller, State Point-analys, Takács sedimenteringsmodell samt Bürger-Diehls sedimenteringsmodell med 10 och 30 lager. Alla modeller visade på ökande flödeskapacitet med ökande temperatur. Takács och Bürger-Diehl med 10 lager gav mindre noggranna resultat på grund av den låga mängden lager så för det dynamiska flödessimuleringarna användes bara Bürger-Diehlmodellen med 30 lager. Dessa simuleringar visade liknade resultat som för det konstanta flöden vid 6° C och 12° C. Vid 22° C visade däremot det dynamiska resultatet på en lägre kapacitet än för det konstanta flödet. Trots att sedimenteringstesten och de skattade modellparamterarna visade på en icke försumbar temperaturpåverkan ingår inte temperaturen i de använda sedimenteringsmodellerna. Detta kan leda till överskattning av flödeskapaciteten vintertid, exempelvis vid snösmältning. I framtiden bör därför detta tas hänsyn till vid dimensionering/modellering av mellansedimenteringsbassänger.Secondary sedimentation tanks are usually the bottleneck of the flow capacity for wastewater treatment plants. High flows risk sludge escaping the system, which can negatively affect the following treatment steps. If a greater amount of the activated sludge escapes, the treatment efficiency could greatly decrease. Understanding the dynamic of sludge quality and flow capacity is detrimental to designing new secondary settling tanks and determining capacity of existing ones. The purpose of this study was to evaluate the flow capacity of the secondary settling tank for the biological treatment step C at Kungsängsverket, Uppsala Vatten och Avfall AB’s biggest wastewater treatment plant. The purpose was to study how different temperatures affected the flow capacity as well. By performing batch settling tests with sludge from the biological treatment step C, with different concentrations and temperatures, the sludge quality was quantified and could be used for calculations and simulations to evaluate the flow capacity. A clear distinction in the zone settling velocity could be observed between the different temperatures. Different values for the density and viscosity, correlated to the different temperatures used for the batch tests, were used in Stoke’s law to get an expected change of velocity. Between 20° and 5° C the quota was roughly 2 and between 10° and 5° C it was around 1,2. The quota for the batch tests differed randomly for the different concentrations, but the result indicated a similar trend as for Stokes law. The Bürger-Diehl and Takács sedimentation models were used for this study with the sedimentation function of Takács. The Bürger-Diehl model was used to calibrate the parameters in Takács function. This was done by simulating a batch test and minimizimg the sum of squared error compared to the actual sludge level from the batch test. The parameter 0 decreased in value with increasing temperature, which is a reversed trend seen from the literature. The parameter rh decreased with increasing temperature, which follows literature trends. The flow capacity was evaluated for a constant and dynamic flow. Constant flow was used with different models for comparison, which were, State point analysis, the Takács sedimentation model and the Bürger-Diehl sedimentation model with 10 and 30 layers. The result from all models indicated a higher flow capacity the higher the temperature. The flow capacity with Takács and Bürger-Diehl models with 10 layers gave a lower flow capacity than expected, which was because of the low resolution, therefore, the Bürger-Diehl model with 30 layers was used for the dynamic flow. The dynamic flow gave a similar result for 6° and 12° C, however, for 22° C the flow capacity was lower for the dynamic flow. Even though the batch tests and the estimated parameters showed a difference with temperature, it’s not included in any sedimentation model. This could lead to an overestimation of the flow capacity during wintertime, for example during snowmelt. Further research should be conducted to confirm these results and possibly be interpreted for future modelling of secondary sedimentation tanks
Going Beyond Counting First Authors in Author Co-citation Analysis
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koamabayili/VECTRON-author-checklist: VECTRON author checklist
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Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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