High-throughput volatile organic compounds removal in a sandwich-type honeycomb catalyst system combined with plasma

• Published in: Applied catalysis. B, Environmental Environmental, 2022-08, Vol.310, p.121328, Article 121328
• Main Authors: Nguyen, Van Toan, Dinh, Duy Khoe, Mok, Young Sun, Yoon, Kyeong Hwan, Dao, Van Duong, Hossain, Md. Mokter, Saud, Shirjana, Sosiawati, Teke
• Format: Article
• Language: English
• Subjects: Acetic acid; ANOVA; Catalysts; Design of experiments; Energy efficiency; Ethyl acetate; Experimental design; Experimental methods; Factorial design; Honeycomb catalyst; Mathematical models; Organic compounds; Parameters; Plasma catalysis; Response surface methodology; Specific humidity; VOCs; VOCs removal; Volatile organic compounds
• ISSN: 0926-3373; 1873-3883
• DOI: 10.1016/j.apcatb.2022.121328

This paper reports on the ethyl acetate (EA) removal over a honeycomb catalyst using an experimental design methodology. A mathematical model based on the response surface methodology is developed to evaluate the effect of parameters such as specific input energy (SIE), humidity, and EA concentration on the response variables (i.e., removal and energy efficiency). A set of experiments based on a statistical three-level full-factorial design of the experimental method were performed to collect the removal data. The model (R12 = 0.9858 and R22 = 0.9305 for removal and energy efficiency, respectively) indicates a satisfactory correlation between the experimental and predicted values. The analysis results using the model show that SIE is the principal parameter affecting the EA removal. Besides, verification of the experimental results indicates that the EA removal of 90.93% and the energy efficiency of 2.91g.kWh−1 at 235 J L-1, 1.5%, and 30.3 ppm were achieved under optimal conditions. [Display omitted] •High-performance EA removal was obtained in honeycomb catalyst plasma system.•Establishing relationships of input variables to output results via a model evaluation.•Optimal operating condition for EA removal efficiency was determined.•Specific input energy (SIE) is the most important factor to enhance EA removal.