Modelling of absorption process by seawater droplets for flue gas desulfurization application

Grinišin, Nazar; Bešenić, Tibor; Kozarac, Darko; Živić, Marija; Wang, Jin; Vujanović, Milan

doi:10.1016/j.applthermaleng.2022.118915

Cited by 9 publications

(3 citation statements)

References 48 publications

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“…The slow dissolution of limestone negatively impacts the rate of dissociation of Ca 2+ ions into the solution, which is necessary for the neutralization reaction with the dissociated sulfur species (as shown in Appendix A). Furthermore, it is recognized that high alkalinity increases both the dissociation of SO 2 species and the rate of the neutralization reaction in the liquid phase. , Limestone dissolves in water to form a slurry with a pH ranging from 8 to 9, while hydrated lime slurries have a pH of around 12 . Due to the difference in the pH of their slurries, hydrated lime slurries have higher neutralizing rates than limestone slurries.…”

Section: Resultsmentioning

confidence: 99%

“…Furthermore, it is recognized that high alkalinity increases both the dissociation of SO 2 species and the rate of the neutralization reaction in the liquid phase. 30 , 31 Limestone dissolves in water to form a slurry with a pH ranging from 8 to 9, while hydrated lime slurries have a pH of around 12. 29 Due to the difference in the pH of their slurries, hydrated lime slurries have higher neutralizing rates than limestone slurries.…”

Section: Resultsmentioning

confidence: 99%

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Comparative Study of Sorbents for Spray Dry Scrubbing of SO₂ from Flue Gases

et al. 2023

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This study presents the findings of an investigation involving the absorption of SO2 from flue gases, using three different sorbents, in a spray dryer. Experimentation involved the evaluation of three sorbents, i.e., hydrated lime (Ca[OH]2), limestone (CaCO3), and trona (Na2CO3·NaHCO3·2H2O), and their relevant properties, for flue gas desulfurization by spray dry scrubbing. Experiments were conducted to explore the effects of spray characteristics in the spray drying scrubber on SO2 removal efficiency using the selected sorbents. The ranges of various operating parameters were considered, including the stoichiometric molar ratio of (1.0–2.5), the inlet gas phase temperature of (120–180 °C), and an inlet SO2 concentration of 1000 ppm. The use of trona gave better SO2 removal characteristics; a high SO2 removal efficiency of 94% was recorded at an inlet gas phase temperature of 120 °C and a stoichiometric molar ratio of 1.5. Under the same operating conditions, Ca[OH]2 and CaCO3 gave 82 and 76% SO2 removal efficiency, respectively. Analysis of the desulfurization products by X-ray fluorescence (XRF) and Fourier transform infrared (FTIR) spectroscopy revealed the presence of CaSO3/Na2SO3, a product of the semidry desulfurization reaction. A significant proportion of unreacted sorbent was observed when Ca[OH]2 and CaCO3 sorbents were used at a stoichiometric ratio of 2.0. Trona also gave the highest degree of conversion (96%) at a stoichiometric molar ratio of 1.0. Ca[OH]2 and CaCO3 gave 63 and 59%, respectively, under the same operating conditions.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Comparative Study of Sorbents for Spray Dry Scrubbing of SO₂ from Flue Gases

et al. 2023

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“…In fact, the primary source of SO 2 in atmosphere stems from coal combustion in thermal power stations, which accounts for about 70% of China's total SO 2 emissions [9,10]. As a consequence, Chinese government have placed stringent regulation on SO 2 emissions and requested that the SO 2 concentration of outlet flue gas should be lower than 35 mg/m 3 [11]. In response to the above problems, the wet IFGD technique, as the most mature and reliable SO 2 removal technology, is widely applied in coal-fired plants power stations worldwide.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Modeling of Flue Gas Desulfurization Process via Bivariate EMD-Based Temporal Convolutional Network

Liu

Wang

2023

Applied Sciences

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Sulfur dioxide (SO2) can cause detrimental impacts on the ecosystem. It is well known that coal-fired power plants play a dominant role in SO2 emissions, and consequently industrial flue gas desulfurization (IFGD) systems are widely used in coal-fired power plants. To remove SO2 effectively such that ultra-low emission standard can be satisfied, IFGD modeling has become urgently necessary. IFGD is a chemical process with long-term dependencies between time steps, and it typically exhibits strong non-linear behavior. Furthermore, the process is rendered non-stationary due to frequent changes in boiler loads. The above-mentioned properties make IFGD process modeling a truly formidable problem, since the chosen model should have the capability of learning long-term dependencies, non-linear dynamics and non-stationary processes simultaneously. Previous research in this area fails to take all the above points into account at a time, and this calls for a novel modeling approach so that satisfactory modeling performance can be achieved. In this work, a novel bivariate empirical mode decomposition (BEMD)-based temporal convolutional network (TCN) approach is proposed. In our approach, BEMD is employed to generate relatively stationary processes, while TCN, which possesses long-term memory ability and uses dilated causal convolutions, serves to model each subprocess. Our method was validated using the operating data from the desulfurization system of a coal-fired power station in China. Simulation results show that our approach yields desirable performance, which demonstrates its effectiveness in the IFGD dynamic modeling problem.

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Innovation and advancement of thermal processes for the production, storage, utilization and conservation of energy in sustainable engineering applications

Vujanović

Besagni

Duić

et al. 2023

Applied Thermal Engineering

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Modelling of absorption process by seawater droplets for flue gas desulfurization application

Cited by 9 publications

References 48 publications

Comparative Study of Sorbents for Spray Dry Scrubbing of SO₂ from Flue Gases

Comparative Study of Sorbents for Spray Dry Scrubbing of SO₂ from Flue Gases

Dynamic Modeling of Flue Gas Desulfurization Process via Bivariate EMD-Based Temporal Convolutional Network

Innovation and advancement of thermal processes for the production, storage, utilization and conservation of energy in sustainable engineering applications

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Modelling of absorption process by seawater droplets for flue gas desulfurization application

Cited by 9 publications

References 48 publications

Comparative Study of Sorbents for Spray Dry Scrubbing of SO2 from Flue Gases

Comparative Study of Sorbents for Spray Dry Scrubbing of SO2 from Flue Gases

Dynamic Modeling of Flue Gas Desulfurization Process via Bivariate EMD-Based Temporal Convolutional Network

Innovation and advancement of thermal processes for the production, storage, utilization and conservation of energy in sustainable engineering applications

Contact Info

Product

Resources

About

Comparative Study of Sorbents for Spray Dry Scrubbing of SO₂ from Flue Gases

Comparative Study of Sorbents for Spray Dry Scrubbing of SO₂ from Flue Gases