LAPSE:2023.11811
Published Article

LAPSE:2023.11811
Numerical Simulation of Multi-Nozzle Droplet Evaporation Characteristics for Desulfurization Wastewater
February 28, 2023
Abstract
Spraying flue gas desulfurization wastewater into flue ducts is an emerging technology that is receiving extensive attention in thermal power plants. In order to study the evaporative performance of wastewater-atomizing droplets under variable working conditions, a combined Euler−Lagrange model was developed to demonstrate the thermal behavior of FGD wastewater spray evaporation in flue gas. The effects of several control factors under various operating conditions were numerically determined and validated against experimental data. Due to the complicated parameters and various other conditions, a least-square support vector machine (LSSVM) model relying on numerical results was used to anticipate the evaporation rate of the droplets. We prove that the LSSVM model has high prediction accuracy for the evaporation rate at different cross-sections of flue under a different operating situation. The conclusion is that for the sake of improving the quality of evaporation, the spacing between two adjacent nozzles should be increased while increasing the flow rate. However, using a higher flue gas temperature, higher initial temperature and smaller diameter of droplets can shorten the time and distance of complete evaporation. In summary, this research analysis can be used effectively to determine the design of the FGD wastewater flue gas evaporative process in thermal power plants.
Spraying flue gas desulfurization wastewater into flue ducts is an emerging technology that is receiving extensive attention in thermal power plants. In order to study the evaporative performance of wastewater-atomizing droplets under variable working conditions, a combined Euler−Lagrange model was developed to demonstrate the thermal behavior of FGD wastewater spray evaporation in flue gas. The effects of several control factors under various operating conditions were numerically determined and validated against experimental data. Due to the complicated parameters and various other conditions, a least-square support vector machine (LSSVM) model relying on numerical results was used to anticipate the evaporation rate of the droplets. We prove that the LSSVM model has high prediction accuracy for the evaporation rate at different cross-sections of flue under a different operating situation. The conclusion is that for the sake of improving the quality of evaporation, the spacing between two adjacent nozzles should be increased while increasing the flow rate. However, using a higher flue gas temperature, higher initial temperature and smaller diameter of droplets can shorten the time and distance of complete evaporation. In summary, this research analysis can be used effectively to determine the design of the FGD wastewater flue gas evaporative process in thermal power plants.
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Keywords
atomized droplet, flue gas desulfurization wastewater, least-square support vector machine, spray evaporation, zero discharge of wastewater
Subject
Suggested Citation
Guo X, Wu J, Du X, Zhang Y, Feng S, Liu S. Numerical Simulation of Multi-Nozzle Droplet Evaporation Characteristics for Desulfurization Wastewater. (2023). LAPSE:2023.11811
Author Affiliations
Guo X: School of Energy and Power Engineering, Lanzhou University of Technology, Lanzhou 730050, China
Wu J: School of Energy and Power Engineering, Lanzhou University of Technology, Lanzhou 730050, China [ORCID]
Du X: School of Energy and Power Engineering, Lanzhou University of Technology, Lanzhou 730050, China [ORCID]
Zhang Y: School of Energy and Power Engineering, Lanzhou University of Technology, Lanzhou 730050, China
Feng S: Key Laboratory of Condition Monitoring and Control for Power Plant Equipment, North China Electric Power University, Ministry of Education, Beijing 102206, China
Liu S: School of Energy and Power Engineering, Lanzhou University of Technology, Lanzhou 730050, China
Wu J: School of Energy and Power Engineering, Lanzhou University of Technology, Lanzhou 730050, China [ORCID]
Du X: School of Energy and Power Engineering, Lanzhou University of Technology, Lanzhou 730050, China [ORCID]
Zhang Y: School of Energy and Power Engineering, Lanzhou University of Technology, Lanzhou 730050, China
Feng S: Key Laboratory of Condition Monitoring and Control for Power Plant Equipment, North China Electric Power University, Ministry of Education, Beijing 102206, China
Liu S: School of Energy and Power Engineering, Lanzhou University of Technology, Lanzhou 730050, China
Journal Name
Energies
Volume
15
Issue
14
First Page
5180
Year
2022
Publication Date
2022-07-17
ISSN
1996-1073
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Original Submission
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PII: en15145180, Publication Type: Journal Article
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LAPSE:2023.11811
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https://doi.org/10.3390/en15145180
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