Sludge Blanket Height and Flow Pattern in UASB Reactors: Temperature Effects

Singh, Kamaljeet; Viraraghavan, T.; Bhattacharyya, Debraj

doi:10.1061/(asce)0733-9372(2006)132:8(895)

Cited by 32 publications

(15 citation statements)

References 14 publications

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“…Hydraulic load, and possibly gas production, resulted in a sludge bed profile where a less dense layer was formed between 0.1 and 0.2 m height of the reactor. However, these profiles are quite similar to profiles suggested by (Narnoli & Mehrotra, 1997;Singh et al 2006) b i o s y s t e m s e n g i n e e r i n g 1 3 1 ( 2 0 1 5 ) 3 2 e4 0 sludge and high strength wastewater with gas flow rate more than 0.10 m 3 m À2 h À1 or 2.4 m 3 m À2 d À1 in UASB reactors. The sludge profile was classified into sludge bed, transition zone and blanket (Fig.…”

Section: Sludge Profiles At Different Organic Loading Rates (Olr) Andsupporting

confidence: 81%

“…The treatment performance of reactor depends on effective mixing of the influent substrate with the sludge in the bed along with numerous factors such as sludge loading rate, pH, OLR, inappropriate bed height, gas production rate, nature of wastewater, and nature and concentration of biomass in the sludge bed (Singh, Viraraghavan, & Debraj, 2006). The sludge samples of 250 ml from each port were removed at an interval of 30e50 d from different withdrawal ports of the reactor to measure the VSS and TSS mass, methanogenic activity and volume of sludge bed or bed height in UASB reactor.…”

Section: Variation Of Tss and Vss Concentration In Sludgementioning

confidence: 99%

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Sludge profiling at varied organic loadings and performance evaluation of UASB reactor treating sewage

Khan

Mehrotra

Kazmi

2015

Biosystems Engineering

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Section: Sludge Profiles At Different Organic Loading Rates (Olr) Andsupporting

confidence: 81%

Section: Variation Of Tss and Vss Concentration In Sludgementioning

confidence: 99%

Sludge profiling at varied organic loadings and performance evaluation of UASB reactor treating sewage

Khan

Mehrotra

Kazmi

2015

Biosystems Engineering

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“…En el lecho de lodo se puede presentar una zona de mezcla, pero también puede existir espacio muerto, flujo advectivo y flujo reverso (Heertjes y Van der Meer 1978), lo que resulta en una menor producción de biogás que origina una insuficiencia en el mezclado (Singh et al 2006). La relación de flujo pistón sobre flujo mezclado (I P /I M ), es considerada como el parámetro de dinámica de fluidos que indica el nivel de flujo pistón en el reactor (Ren et al 2008).…”

Section: Introductionunclassified

Evaluación Hidráulica De Un Reactor Anaerobio De Flujo Ascendente (Rafa) Usando Un Modelo De Dispersión Axial

Montiel

Villasmil

Alvarado

2016

Rev. Int. Contam. Ambie.

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Palabras clave: trazador, tiempo de retención hidráulico, flujo disperso, mezcla completa, zona muerta RESUMEN La hidráulica, junto con los procesos bioquímicos tiene una importancia esencial en la eficiencia de los sistemas de tratamiento biológico, tales como los reactores anaerobios de flujo ascendente (RAFA). En esta investigación se evaluó el desempeño hidráulico en un RAFA de 518 L utilizando un modelo de dispersión axial. El reactor fue inoculado con 105 L de lodo (20 % v/v) y se alimentó con agua residual municipal del colector C de la ciudad de Maracaibo, Venezuela. Los ensayos fueron realizados al agregar una solución de LiCl de forma puntual en el efluente. El Li + fue cuantificado como trazador. Las muestras fueron recolectadas en el efluente y en un punto intermedio del reactor a tiempos de retención hidráulica teóricos (t o ) de 10, 8, 5, 4 y 3 h con tres entradas alineadas en el fondo del reactor y a t o de 5 h incrementando las entradas de forma impar hasta llegar a 15. El número de dispersión obtenido en la zona de lecho y manto de lodo (punto intermedio) fue mayor que en el efluente, obteniendo valores de 1.1842 < d < 1.7550 y 0.2911 < d < 0.7285 respectivamente. El modelo de dispersión axial con inyección y recolección en flujo (IRF) e inyección en flujo y recolección en el fluido residente (IFRFR), presentó buenos ajustes a los datos experimentales de concentración del trazador. El reactor se comportó como mezcla completa en el lecho y manto de lodo y flujo disperso en el sedimentador.Key words: tracer, hydraulic retention time, dispersed flow, complete mix, dead zone ABSTRACT Hydraulics along with biogeochemical processes have a remarkable value in the efficiency of wastewater treatment systems as upflow anaerobic sludge reactors (UASB). In this study the hydraulic performance was evaluated on a UASB of 518L volume capacity using an axial dispersion model. The reactor was inoculated with 105 L of sludge (20 % v/v) and was fed with a local municipal wastewater flowing at the collector C of the city Maracaibo, Venezuela. Assays were carried out using a solution with LiCl (Li + measured as tracer) incorporated at the influent as instantaneous injection. Samples were collected at the effluent and at a midpoint of the reactor. Different theoretical hydraulic retention times (t o )

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“…On the basis of overall low investment and O and M costs, satisfactory COD, BOD, and TSS removal, and energy generation potential, this technology is suitable as compared to other technologies especially in developing countries. New research studies in this area have proven the successful operation of this system to treat low strength wastewater [12,39]. The concentration of COD in domestic wastewater is usually low and suspended solids are high along 4 Journal of Chemistry Table 3: Advantages and disadvantages of UASB reactor technology.…”

Section: Treatment Potential Of Uasb Processmentioning

confidence: 99%

“…Anaerobic treatment is possible at all three temperature ranges (psychrophilic, mesophilic, and thermophilic); however, low temperature generally leads to a decline in the maximum specific growth rate and methanogenic activity [39,70,71]. Methanogenic activity at this temperature range is 10 to 20 times lower than the activity at 35 ∘ C, which requires an increase in the biomass in the reactor (10 to 20 times) or operating at higher sludge retention time (SRT) and hydraulic retention time (HRT) in order to achieve the same COD removal efficiency as that obtained at 35 ∘ C [3,67].…”

Section: Effect Of Temperaturementioning

confidence: 99%

Review of Upflow Anaerobic Sludge Blanket Reactor Technology: Effect of Different Parameters and Developments for Domestic Wastewater Treatment

Daud

Rizvi

Akram

et al. 2018

Journal of Chemistry

110

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The upflow anaerobic sludge blanket (UASB) reactor has been recognized as an important wastewater treatment technology among anaerobic treatment methods. The objective of this study was to perform literature review on the treatment of domestic sewage using the UASB reactor as the core component and identifying future areas of research. The merits of anaerobic and aerobic bioreactors are highlighted and other sewage treatment technologies are compared with UASB on the basis of performance, resource recovery potential, and cost. The comparison supports UASB as a suitable option on the basis of performance, green energy generation, minimal space requirement, and low capital, operation, and maintenance costs. The main process parameters such as temperature, hydraulic retention time (HRT), organic loading rate (OLR), pH, granulation, and mixing and their effects on the performance of UASB reactor and hydrogen production are presented for achieving optimal results. Feasible posttreatment steps are also identified for effective discharge and/or reuse of treated water.

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Sludge Blanket Height and Flow Pattern in UASB Reactors: Temperature Effects

Cited by 32 publications

References 14 publications

Sludge profiling at varied organic loadings and performance evaluation of UASB reactor treating sewage

Sludge profiling at varied organic loadings and performance evaluation of UASB reactor treating sewage

Evaluación Hidráulica De Un Reactor Anaerobio De Flujo Ascendente (Rafa) Usando Un Modelo De Dispersión Axial

Review of Upflow Anaerobic Sludge Blanket Reactor Technology: Effect of Different Parameters and Developments for Domestic Wastewater Treatment

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