Spray tower

About: Spray tower is a research topic. Over the lifetime, 1028 publications have been published within this topic receiving 4715 citations.

Setting of ammonia injection quantity in waste gas treatment apparatus of refuse incinerator

Abstract: PROBLEM TO BE SOLVED: To provide a method for setting ammonia injection quantity in order to carry out treatments of desulfurization, denitrification and dioxins removal at a same stage in a waste gas treatment apparatus in a refuse incinerator. SOLUTION: In a waste gas treatment apparatus of a refuse incinerator wherein hydrochloric acid concentration of a waste gas is lowered to a specified level in a lime spray tower and sprayed lime is captured together with ash by an electric precipitator, and then waste gas temperature is controlled within a specified range by a heat exchanger before being guided into an adsorption tower packed with granular active carbon, and the waste gas is brought into contact with the active carbon before being discharged to a flue, SO2 and dioxins are adsorbed by the granular active carbon, NOx is decomposed under the presence of NH3 injected from the heat exchanger into the flue, and parts of them are filtered and removed as NH4 Cl together with dust by an active carbon layer of the adsorption tower. The granular active carbon which has adsorbed SO2 , dioxins and HCl is guided to a desorption tower and heated so as to desorb SO2 , decompose the dioxins and desorb HCl. Quantity of NH3 injection is set on the basis of NOx concentration at an inlet of the adsorption tower and NOx removal rate or NOx concentration at the inlet of the adsorption tower and NOx concentration at an outlet thereof.

Multiple treatment of liq. manure and thin sludge - by forming fine-dry material, useful as non-noxious fertilisers

Abstract: After preliminary drying, e.g. by filter press or in settlement tanks, liq. manure or thin sludge is divided into coarse and fine solids and a residue, mainly of water. Warm air reduces residual moisture content of the coarse fraction to 3% or less. Hot air drying of the filtrate aq. in a spray tower, produces fine solids, while clean residual water is condensed on a cold surface. A cyclical system with filter sections, spray tower, cyclone etc. forms both hot and cold material. Heat from the circuit dries out raw material, while cold is used in condensing distillation. Waste power draws electrical generators. At any suitable stage to circulating material is sterilised, e.g. by microwaves. ADVANTAGE - Reduces external pollution of treated farming land, as compared with simple spreading. System is simple, with low energy demand, since balance between drying and condensation yields useful waste heat.

Seawater desulphurization device for ship tail gas treatment system

Abstract: The invention discloses a seawater desulphurization device for a ship tail gas treatment system. The device comprises a pre-spray chamber with a flue gas inlet, wherein the pre-spray chamber is connected with a desulphurization tower; and the desulphurization tower is provided with a seawater inlet, is in the form that the flue gas is in reverse contact with seawater and is a spray tower or a filler tower. The seawater desulphurization device has a rational structure; a larger contact area and a certain contact time exist between the gas and the liquid; violent disturbance exists between the gas and the liquid; and the device has small absorption resistance, high absorption efficiency, proper elasticity, small pressure drop during circulation of the gas and a simple structure, is stable in operation, convenient to manufacture and maintain and low in manufacturing cost.

Method for recycling industrial by-products

Abstract: A carbon-dioxide emission abatement system comprising: a reaction chamber selected from the group consisting of: a fluidized bed reactor, a slurry bed reactor, a venturi scrubber, a spray tower scrubber, a packed scrubber reactor, a continuously stirred tank reactor, and combinations thereof; said reaction chamber having a fluid inlet, a slurry inlet, a mixing zone to provide turbulent mixing of a slurry and the fluid stream, a fluid outlet, and a slurry outlet; wherein the carbon-dioxide containing fluid stream is in fluid communication with the reaction chamber and is introduced to the reaction chamber via the fluid inlet; a source of the slurry is in fluid communication with the reaction chamber via the slurry inlet; the mixing zone provides turbulent mixing of the slurry and the effluent stream; wherein the reaction chamber has a volume that provides a sufficient residence time to treat the fluid stream to reduce an amount of carbon dioxide by at least about 30%, and wherein the slurry comprises a first component comprising calcium oxide and a source of alkali metal ions, a second component comprising a slag having a source of reactive silicates, and water, and wherein a spent slurry and/or a calcium carbonate product is removed from the reaction chamber via the slurry outlet.

Artificial neural network for prediction of SO2 removal and volumetric mass transfer coefficient in spray tower

Abstract: One of the most common methods for controlling SO2 is the process of desulfurization using spray tower. Due to the large number of parameters to be evaluated and the process complexity, there are difficulties in the proposal of mathematical models to predict the removal efficiency and the gas phase volumetric mass transfer coefficient (kga). The aim of this study was to obtain an artificial neural network (ANN) to predict the removal efficiency and the kga in a spray tower for SO2 removal. The results showed that the choosing of the best model from the training and validation steps did not generate reliable results. The best structure was defined by analyzing the results of a simulation step, which used independent data. The best model was obtained with the structure 5-9-2, trained using the Levenberg–Marquardt algorithm with Bayesian Regularization and having the softmax and linear transfer functions in the hidden and output layers, respectively. This network presented an average error of 8.44% for the outlet SO2 concentration and 4.53% for the kga. This work showed that the use of neural networks is promising in the prediction of important variables in the processes of removal of air pollutants in spray towers.