Ammonia stripping using a continuous flow jet loop reactor: mass transfer of ammonia and effect on stripping performance of influent ammonia concentration, hydraulic retention time, temperature, and air flow rate

Değermenci̇, Nejdet; Yildiz, Ergün

doi:10.1007/s11356-021-13005-6

Cited by 11 publications

(10 citation statements)

References 35 publications

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“…The gas-liquid ratio has a significant impact on the ammonia nitrogen removal rate of biogas slurry [21,22]. The results showed that under the condition of gas-liquid ratio of 1000, the ammonia nitrogen removal rate of biogas slurry after stripping for 3 hours was 76.06%, and the stripping efficiency was relatively low.…”

Section: Discussionmentioning

confidence: 99%

“…However, at higher pH level (pH = 11) 98% of ammonia nitrogen in sewage exists as free ammonia without rising the temperature [20]. Many studies indicated that pH value, gas-liquid ratio, temperature and stripping time directly affect the stripping efficiency of ammonia nitrogen with the following order such as pH>temperature>stripping time>gas-liquid ratio [21][22][23][24][25].…”

Section: Introductionmentioning

confidence: 99%

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Ammonia Stripping with Plant Ash Enhanced Removal and Recovery Rate of Ammonia Nitrogen From Biogas Slurry

Wang¹,

Azeem²,

Zhang³

et al. 2022

Pol. J. Environ. Stud.

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This study was conducted to evaluate the effects of plant ash based ammonia stripping process on removal and recovery of ammonia-nitrogen (NH 3 -N) in biogas slurry (BS), in order to provide theoretical reference for the feasibility of plant ash, as replacement of sodium hydroxide. The best mixing ratio of plant Ash and biogas slurry, gas-liquid ratio, stripping time and stripping temperature was also determined to optimize the process. The results showed that the (NH 3 -N) removal rate was 85.27% and the recovery rate was 76.45%, at 10:2 biogas slurry and plant ash mixing ratio, the gas-liquid ratio of 2000, the stripping temperature of 30ºC and the stripping time of 2 h. Compared with sodium hydroxide as stripping promoter the removal rate and recovery rate of ammonia nitrogen in biogas slurry were increased by 4.15% and 6.49% respectively, and the operation cost of ammonia nitrogen stripping process was reduced by plant ash replacing sodium hydroxide. The comprehensive analysis suggested that it is feasible to combine the plant ash with biogas slurry to remove ammonia nitrogen.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Ammonia Stripping with Plant Ash Enhanced Removal and Recovery Rate of Ammonia Nitrogen From Biogas Slurry

Wang¹,

Azeem²,

Zhang³

et al. 2022

Pol. J. Environ. Stud.

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“…The ammonia stripping process [28][29][30] takes place in a closed vessel, where air is continuously sparged at its bottom and its content is continuously agitated. Ammonia is transferred from the liquid to the air bubbles, which leave the vessel.…”

Section: Ammonia Strippingmentioning

confidence: 99%

“…A schematic representation of the ammonia stripping process is illustrated in Figure 6. The mathematical model [28][29][30] describing the process relies on the mass balance for ammonia:…”

Section: Ammonia Strippingmentioning

confidence: 99%

“…where q G is the volumetric air flow rate (m 3 /s), C G,in and C G are the ammonia concentrations in the air entering and leaving the vessel (kmol/m 3 ), V L is the liquid volume (m 3 ), C L,in and C L are the ammonia concentrations in the liquid phase entering and leaving the vessel (kmol/m 3 ) and ε G is the air holdup or the volume fraction of the air bubbles entrained in the liquid (dimensionless). Since [29] • no ammonia is present in the influent air (C G,in = 0);…”

Section: Ammonia Strippingmentioning

confidence: 99%

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Design, Implementation and Simulation of a Small-Scale Biorefinery Model

et al. 2022

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Second-generation biomass is an underexploited resource, which can lead to valuable products in a circular economy. Available locally as food waste, gardening and pruning waste or agricultural waste, second-generation biomass can be processed into high-valued products through a flexi-feed small-scale biorefinery. The flexi-feed and the use of local biomass ensure the continuous availability of feedstock at low logistic costs. However, the viability and sustainability of the biorefinery must be ensured by the design and optimal operation. While the design depends on the available feedstock and the desired products, the optimisation requires the availability of a mathematical model of the biorefinery. This paper details the design and modelling of a small-scale biorefinery in view of its optimisation at a later stage. The proposed biorefinery comprises the following processes: steam refining, anaerobic digestion, ammonia stripping and composting. The models’ integration and the overall biorefinery operation are emphasised. The simulation results assess the potential of the real biowaste collected in a commune in Flanders (Belgium) to produce oligosaccharides, lignin, fibres, biogas, fertiliser and compost. This represents a baseline scenario, which can be subsequently employed in the evaluation of optimised solutions. The outlined approach leads to better feedstocks utilisation and product diversification, raising awareness on the impact and importance of small-scale biorefineries at a commune level.

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Testing persistence of ammonia emissions using historical data of more than two centuries in OECD countries

2023

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Ammonia stripping using a continuous flow jet loop reactor: mass transfer of ammonia and effect on stripping performance of influent ammonia concentration, hydraulic retention time, temperature, and air flow rate

Cited by 11 publications

References 35 publications

Ammonia Stripping with Plant Ash Enhanced Removal and Recovery Rate of Ammonia Nitrogen From Biogas Slurry

Ammonia Stripping with Plant Ash Enhanced Removal and Recovery Rate of Ammonia Nitrogen From Biogas Slurry

Design, Implementation and Simulation of a Small-Scale Biorefinery Model

Testing persistence of ammonia emissions using historical data of more than two centuries in OECD countries

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