Loading...
Loading...

Go to the content (press return)

Modeling a flue-gas desulfurization plant with a fuzzy methodology to optimize the SO2 absorption process

Author
Escobet, A.; Nebot, M.; Mugica, F.; Gamisans, X.; Guimera, X.
Type of activity
Presentation of work at congresses
Name of edition
7th International Conference on Simulation and Modeling Methodologies, Technologies and Applications
Date of publication
2017
Presentation's date
2017-07-27
Book of congress proceedings
SIMULTECH 2017: proceedings of the 7th International Conference on Simulation and Modeling Methodologies, Technologies and Applications: Madrid, Spain, July 26-28, 2017
First page
458
Last page
465
Repository
http://hdl.handle.net/2117/110097 Open in new window
Abstract
Sulfur oxides are some of the major existing pollutants that directly affect the atmosphere. In combination with particles and air humidity, produce the most detrimental effects attributed to air pollution. The treatment of gas streams containing sulfur dioxide and its subsequent recovery is, therefore, a matter of great importance for the elimination of the environmental burden of their emission into the atmosphere. In this research, a fuzzy model of a flue-gas desulfurization plant is develope...
Citation
Escobet, A., Nebot, M., Mugica, F., Gamisans, X., Guimera, X. Modeling a flue-gas desulfurization plant with a fuzzy methodology to optimize the SO2 absorption process. A: International Conference on Simulation and Modeling Methodologies, Technologies and Applications. "SIMULTECH’17: 7th International Conference on Simulation and Modeling Methodologies, Technologies and Applications". Madrid: 2017, p. 458-465.
Keywords
Flue-Gas Desulfurization, Fuzzy Inductive Reasoning (FIR), Prediction, SO2 Optimization
Group of research
BIOGAP - Biological Treatment of Gaseous Pollutants and Odours Group
CS2AC-UPC - Supervision, Safety and Automatic Control
IDEAI-UPC - Intelligent Data Science and Artificial Intelligence Research Center
SIC - Smart Control Systems
SOCO - Soft Computing
SSR-UPC - Smart Sustainable Resources

Participants