LAPSE:2023.22955
Published Article
LAPSE:2023.22955
Mathematical Modeling of Heat and Mass Processes in a Scrubber: The Box−Wilson Optimization Method
Dagnija Blumberga, Vivita Priedniece, Rūdolfs Rumba, Vladimirs Kirsanovs, Agris Ņikitenko, Egons Lavendelis, Ivars Veidenbergs
March 24, 2023
Abstract
Optimal performance parameters must be found in order to organize efficient heat and mass transfer and effective flue gas cooling using a wet scrubber. Mathematical models are widely used for system optimization. However, a significant number of the available models have application limitations. This study presents a universal model for heat and mass transfer simulation in a scrubber called a fog unit, which has been developed and validated. Validation was performed by comparing the experimental and calculated results. Good agreement was achieved among the data, with differences between results not exceeding 10%. The model facilitates an investigation of the effects of gas flow, droplet size, and sprayed water on heat recovery from flue gas. An experimental matrix for fog unit capacity which included five main variables was designed and analyzed. The boundaries of the parameters are set considering the results of the experiments. The optimization method used is the path of the steepest ascent. The obtained results show the parameter change steps to achieve higher capacity of the condenser. In the studied unit, the maximum condenser capacity is limited by a flue gas flow value of 0.01 Nm3/s. The condenser optimization study that was conducted is viewed as a basis for further studies.
Keywords
fog unit, heat and mass transfer, mathematical model wet scrubber, Optimization
Suggested Citation
Blumberga D, Priedniece V, Rumba R, Kirsanovs V, Ņikitenko A, Lavendelis E, Veidenbergs I. Mathematical Modeling of Heat and Mass Processes in a Scrubber: The Box−Wilson Optimization Method. (2023). LAPSE:2023.22955
Author Affiliations
Blumberga D: Institute of Energy Systems and Environment, Riga Technical University, Azenes iela 12/1, LV-1048 Riga, Latvia
Priedniece V: Institute of Energy Systems and Environment, Riga Technical University, Azenes iela 12/1, LV-1048 Riga, Latvia
Rumba R: Department of artificial intelligence and systems engineering, Riga Technical University, Meža iela 1/4, LV-1048 Riga, Latvia
Kirsanovs V: Institute of Energy Systems and Environment, Riga Technical University, Azenes iela 12/1, LV-1048 Riga, Latvia [ORCID]
Ņikitenko A: Department of artificial intelligence and systems engineering, Riga Technical University, Meža iela 1/4, LV-1048 Riga, Latvia
Lavendelis E: Department of artificial intelligence and systems engineering, Riga Technical University, Meža iela 1/4, LV-1048 Riga, Latvia
Veidenbergs I: Institute of Energy Systems and Environment, Riga Technical University, Azenes iela 12/1, LV-1048 Riga, Latvia
Journal Name
Energies
Volume
13
Issue
9
Article Number
E2170
Year
2020
Publication Date
2020-05-01
ISSN
1996-1073
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Original Submission
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PII: en13092170, Publication Type: Journal Article
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LAPSE:2023.22955
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https://doi.org/10.3390/en13092170
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