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    					Effect of adjusted mesoscale drag model on flue gas desulfurization in powder-particle spouted beds  | 
  					 
  					  										
						Xinxin Che, Feng Wu( ), Xiaoxun Ma | 
					 
															
						| School of Chemical Engineering, Northwest University, Xi’an 710069, China | 
					 
										
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													     		                            						                            																	    Abstract  An energy minimum multiscale model was adjusted to simulate the mesoscale structure of the flue gas desulfurization process in a powder-particle spouted bed and verified experimentally. The obtained results revealed that the spout morphology simulated by the adjusted mesoscale drag model was unstable and discontinuous bubbling spout unlike the stable continuous spout obtained using the Gidaspow model. In addition, more thorough gas radial mixing was achieved using the adjusted mesoscale drag model. The mass fraction of water in the gas mixture at the outlet determined by the heterogeneous drag model was 1.5 times higher than that obtained by the homogeneous drag model during the simulation of water vaporization. For the desulfurization reaction, the experimental desulfurization efficiency was 75.03%, while the desulfurization efficiencies obtained by the Gidaspow and adjusted mesoscale drag models were 47.63% and 75.08%, respectively, indicating much higher accuracy of the latter technique. 
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															| Keywords 
																																																				adjusted mesoscale drag model  
																		  																																				particle image velocimetry  
																		  																																				water vaporization  
																		  																																				desulfurization reaction  
																		  																																				numerical simulation  
																																			  
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																																Corresponding Author(s):
																Feng Wu   
																													     		
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																																														Online First Date: 09 December 2021   
																																														Issue Date: 28 June 2022
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