“…Although the results showed that the scrubber was effective in removing the ammonia from the exhaust of the manure dryer using acid water, a series of towers would increase the residence time and achieve total removal of ammonia. Byeon et al (2012) developed a wet scrubbing system for the simultaneous removal of fly ash and ammonia gas and reported ammonia removal rates of 74-86%. Couvert et al (2007) developed an acidic solution (pH of 3) based ammonia gas scrubber system and reported ammonia removal efficiencies of 95.0-99.95% for the two pH's respectively.…”
The storage and handling of animal wastes is one of the main sources of ammonia gas emissions. Ammonia gas has a distinct, unpleasant odor and can become detrimental to the health of humans and animals at high concentrations. Ammonia emissions are of particular concern in manure drying systems, where large losses of nitrogen, in the form of ammonia can cause air quality concerns. The aim of this study was to develop an ammonia removal system for a poultry manure drying system. The thin layer drying of poultry manure in 1-3 cm thick layers resulted in effective sterilization; with the removal of 99.44-99.56% of total bacterial count, 88.51-93.705 of yeast and mold cells, 99.13-99.565 of E.coli cells, and complete removal of Salmonellae. The drying of poultry manure resulted in a large loss of nitrogen, through ammonia loss in the exhaust gasses. The use of a water scrubber resulted in a 75-99% removal of ammonia gas from the exhaust gases. The absorption of ammonia into the scrubberâs water resulted in an increase in pH, which subsequently fell as the drying process finished, and ammonia emission decreased. The heated air drying of poultry manure, with the use of an ammonia removal system proved effective in reducing the odor intensity and offensiveness of the poultry manure drying process, resulting in increased air quality. While producing a high value product
“…Although the results showed that the scrubber was effective in removing the ammonia from the exhaust of the manure dryer using acid water, a series of towers would increase the residence time and achieve total removal of ammonia. Byeon et al (2012) developed a wet scrubbing system for the simultaneous removal of fly ash and ammonia gas and reported ammonia removal rates of 74-86%. Couvert et al (2007) developed an acidic solution (pH of 3) based ammonia gas scrubber system and reported ammonia removal efficiencies of 95.0-99.95% for the two pH's respectively.…”
The storage and handling of animal wastes is one of the main sources of ammonia gas emissions. Ammonia gas has a distinct, unpleasant odor and can become detrimental to the health of humans and animals at high concentrations. Ammonia emissions are of particular concern in manure drying systems, where large losses of nitrogen, in the form of ammonia can cause air quality concerns. The aim of this study was to develop an ammonia removal system for a poultry manure drying system. The thin layer drying of poultry manure in 1-3 cm thick layers resulted in effective sterilization; with the removal of 99.44-99.56% of total bacterial count, 88.51-93.705 of yeast and mold cells, 99.13-99.565 of E.coli cells, and complete removal of Salmonellae. The drying of poultry manure resulted in a large loss of nitrogen, through ammonia loss in the exhaust gasses. The use of a water scrubber resulted in a 75-99% removal of ammonia gas from the exhaust gases. The absorption of ammonia into the scrubberâs water resulted in an increase in pH, which subsequently fell as the drying process finished, and ammonia emission decreased. The heated air drying of poultry manure, with the use of an ammonia removal system proved effective in reducing the odor intensity and offensiveness of the poultry manure drying process, resulting in increased air quality. While producing a high value product
“…There are also no descriptions of theoretical or experimental studies determining the effect of viscosity and rheological properties of the suspension on the effi ciency of the dust collection process 9 . A method of predicting the particle removal effi ciency of gravitational wet scrubbers, that considers diffusion, interception and impaction was presented by Byeon et al 10 .…”
The high effi ciency of industrial wet scrubbers is the result of a simultaneous formation of dust particle collectors. Collectors can be understood as droplets of atomised liquid, bubbles formed in the conditions of intensive barbotage, liquid surface and wet surfaces. All collectors are formed during the operation of a circulating unit. The effi ciency of dust collection process also depends on the ability of dust particles to be absorbed by collectors. The study provides an experimental analysis of the effect of the increasing concentration of a dust collection liquid in the conditions of full liquid recirculation on the effi ciency of dust collection process in the examined types of collectors.
“…The Cunningham correction factor, C cc allows for the prediction of the drag force on the particle moving within a fluid with Knudsen number between the continuum regime and free molecular flow has been described by [3] given by (4) and (5). (4) whereKn is the Knudsen number, 1 , 2 , and 3 are coefficients experimentally determined for air ( [1]) such that; 1 = 1.257, 2 = 0.400, 3 = 0.55. From (5), p is the atmospheric pressure (1atm), M g is the molecular weight of the gas assumed to be air (29g), T g is the gas temperature ( o C), R is the universal gas constant (8.31448 J/mol K).…”
Section: Introductionmentioning
confidence: 99%
“…(12) Dueto improper selection of optimum droplet size in conventional wet scrubber systems, wet scrubbing process has been characterized as non-linear and complex. Hence, several attempts have been made to improve the process such as in [4], [5], [6], [7], and [8] respectively. Other studies involved the application of computational fluid dynamics (CFD) such as in [9], [10] and [11].…”
Thenon-linear characteristics of wet scrubbing process have led to the application of intelligent control technique to adequately deal with these complexities by manipulating the liquid droplet size for the effective control of particulate matter (PM) contaminants. This includes the use of adaptive neuro-fuzzy inference system (ANFIS) to design an intelligent controller based on direct inverse model control strategy using default input and output membership functions (gaussmf and linear) and different number of input membership functions. This is followed by training of the fuzzy inference system to obtain inverse model which was tested as the intelligent controller. The controller developed using two-input membership functions have successfully achieved the main target of setting the PM concentration (process output) below the set point which is the allowable World health organization (WHO) emission level for 20g/μm within a short settling time of 2s.
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