Influence of key operational parameters on performance of multi‐stage packed spray tower for removing <scp> SO <sub>2</sub> </scp> from flue gas by scrubbing seawater

Abstract Seawater flue gas desulfurization (SWFGD) process has been adopted by many coastal power plants due to its low operating cost. However, the key influencing factors that determine the performance of using multi‐stage packed spray tower (MPST) for removing SO 2 from flue gas by scrubbing seawater still require further investigation. In this article, effects of liquid/gas ratio, flue gas flow rate, packing height, packing type, SO 2 concentration at the inlet of MPST, and seawater properties including temperature and alkalinity on desulfurization efficiency and pressure drop were systematically studied. In addition, experimental data in this work were further analyzed by response surface methodology using Design‐Expert software. This study provides quantitative analysis of the interaction effects between key operational parameters in a hybrid multi‐stage packed spray tower for SWFGD. The interaction between packing height and flue gas flow rate was extremely significant for desulfurization rate, and the interaction between liquid/gas ratio and flue gas flow rate was extremely significant for pressure drop. Optimization of process parameters is critical to achieving low energy consumption and high energy efficiency in SWFGD engineering experiments, which provides necessary technical support and theoretical guidance for SWFGD engineering design.

Authors

Institutions

Publication Details

Journal
Environmental Progress & Sustainable Energy
Published
2025-12-23
DOI
https://doi.org/10.1002/ep.70275
Primary Topic
Industrial Gas Emission Control
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Influence of key operational parameters on performance of multi‐stage packed spray tower for removing SO 2 from flue gas by scrubbing seawater

Tongyun Zhang, Xi Wu, Yuanfa Zhuang, Wentao Du et al.
Environmental Progress & Sustainable Energy
Industrial Gas Emission Control
article

Influence of key operational parameters on performance of multi‐stage packed spray tower for removing SO 2 from flue gas by scrubbing seawater

Tongyun Zhang, Xi Wu, Yuanfa Zhuang, Wentao Du, X. R. Yang, Mengjing Zhang, Zhuo Chen, Lingjun Li, Aicheng Song, Zelu Zhou, Zhitao Han, Zhizhong Yang
article en

Abstract

Abstract Seawater flue gas desulfurization (SWFGD) process has been adopted by many coastal power plants due to its low operating cost. However, the key influencing factors that determine the performance of using multi‐stage packed spray tower (MPST) for removing SO 2 from flue gas by scrubbing seawater still require further investigation. In this article, effects of liquid/gas ratio, flue gas flow rate, packing height, packing type, SO 2 concentration at the inlet of MPST, and seawater properties including temperature and alkalinity on desulfurization efficiency and pressure drop were systematically studied. In addition, experimental data in this work were further analyzed by response surface methodology using Design‐Expert software. This study provides quantitative analysis of the interaction effects between key operational parameters in a hybrid multi‐stage packed spray tower for SWFGD. The interaction between packing height and flue gas flow rate was extremely significant for desulfurization rate, and the interaction between liquid/gas ratio and flue gas flow rate was extremely significant for pressure drop. Optimization of process parameters is critical to achieving low energy consumption and high energy efficiency in SWFGD engineering experiments, which provides necessary technical support and theoretical guidance for SWFGD engineering design.

Environmental Progress & Sustainable EnergyVol. 45(2)
Dongfang Electric Corporation (China) (CN), National Institute of Clean and Low-Carbon Energy (CN), Dalian Maritime University (CN)
National Natural Science Foundation of China
Affordable and clean energy
Openalex Percentile: Top 45%
Industrial Gas Emission Control
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.