Removal of Sulfur Dioxide in Flue Gas Using Invasive Weed Optimization–Based Control Method
Publication: Journal of Environmental Engineering
Volume 150, Issue 3
Abstract
This study focuses primarily on sulfur dioxide () emissions control problem in a wet flue gas desulfurization (WFGD) process, and our objective is to design an intelligent control system so that the outlet concentration satisfies the emission standard. In our approach, a multimodel control framework, which is made up of a linear robust controller and a neural controller, is integrated with the invasive weed optimization (IWO) algorithm in an elegant fashion and used for emissions control purposes. A case study is carried out based on operation data from a 600 MW coal-fired unit, and simulation results show that IWO-based automatic clustering can identify different operating modes in the WFGD process with high accuracy. Further, the established multimodel control system can remove emissions effectively. Experimental results show that emissions can be removed effectively with the proposed method, and this could provide engineering guidance to design a WFGD control system.
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Data Availability Statement
All data, models, and code generated or used during the study appear in the published article.
Acknowledgments
This research was funded by the National Natural Science Foundation of China, Grant No. 61873006, and the Beijing Natural Science Foundation Grant No. 4212040.
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Information & Authors
Information
Published In
Journal of Environmental Engineering
Volume 150 • Issue 3 • March 2024
Copyright
© 2023 American Society of Civil Engineers.
History
Received: Jun 15, 2023
Accepted: Oct 16, 2023
Published online: Dec 22, 2023
Published in print: Mar 1, 2024
Discussion open until: May 22, 2024
ASCE Technical Topics:
- Air pollution
- Algorithms
- Case studies
- Chemical compounds
- Chemical elements
- Chemicals
- Chemistry
- Control systems
- Ecosystems
- Emissions
- Engineering fundamentals
- Environmental engineering
- Linear functions
- Mathematical functions
- Mathematics
- Methodology (by type)
- Models (by type)
- Optimization models
- Pollution
- Research methods (by type)
- Sulfur
- Systems engineering
- Systems management
- Vegetation
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