Decomposition of formaldehyde in strong ionization non-thermal plasma at atmospheric pressure

Asilevi, Prince Junior; Yi, Chengwu; Li, J.; Nawaz, Muhammad Imran; Wang, H. J.; Yin, Lan; Junli, Z.

doi:10.1007/s13762-019-02476-3

Cited by 17 publications

(22 citation statements)

References 31 publications

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“…The high voltage supply is then turned off to return reactor to normal state, and the process was repeated several times for different initial concentrations. The entire process followed the description in Asilevi [9].…”

Section: Methodsmentioning

confidence: 99%

“…The input and output concentrations of HCHO is detected by a portable air quality monitor (Aeroqual Series 500) fitted with a formaldehyde sensor head of detection range 0-10ppm, minimum detection limit of 0.01ppm, while the indoor air humidity (20-90%) is measured by a smart sensor humidity meter. The GCMS processes to investigate possible intermediates and degradation path is as described in Asilevi [9].…”

Section: Methodsmentioning

confidence: 99%

“…This is the ratio of final HCHO concentration after degradation to initial HCHO concentration. The degree of removal reduces as more pollutant is removed, and hence, the removal efficiency can be obtained as: 1 − (Cout/Cin) [9].…”

Section: Degree Of Removal (C Out /C In )mentioning

confidence: 99%

“…Yuan [12] efficiently removed formaldehyde by a combined MnO 2 catalyst assisted NTP with physical adsorption. However, catalyst application in NTP indoor air treatment have shown poisoning effect and secondary pollution [9,13]. In a previous study, Asilevi [9] showed over 95% HCHO degradation by an atmospheric strong ionization DBD system applicable to industry waste air with concentration range of 100-400 ppm, hence not relevant for low-concentration formaldehyde removal typical to the built environment.…”

Section: Introductionmentioning

confidence: 99%

“…Dielectric barrier discharge (DBD) is a good source of atmospheric NTP with low-cost plasma for indoor air VOC pollution control. DBD has the reputation to efficiently remove low concentrations of VOCs and odorous compounds plus the added advantage of energy saving and no production of dioxin [9]. Many researchers have studied NTP application for the improvement of IAQ.…”

Section: Introductionmentioning

confidence: 99%

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Indoor Air Quality Improvement and Purification by Atmospheric Pressure Non-Thermal Plasma (NTP)

Asilevi

Boakye

Oduro–Kwarteng

et al. 2021

Preprint

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Non-thermal plasma (NTP) is a promising technology for the improvement of indoor air quality (IAQ) by removing volatile organic compounds (VOCs) through advanced oxidation process (AOP). In this paper, authors developed a laboratory scale dielectric barrier discharge (DBD) reactor which generates atmospheric NTP to study the removal of low-concentration formaldehyde (HCHO), a typical indoor air VOC in the built environment associated with cancer and leukemia, under different processing conditions. Strong ionization NTP was generated between the DBD electrodes by a pulse power zero-voltage switching flyback transformer (ZVS-FBT), which caused ionization of air molecules leading to active species formation to convert HCHO into carbon dioxide (CO2) and water vapor (H2O). The impact of key electrical and physical processing parameters i.e. discharge power (P), initial concentration (Cin), flow rate (F), and relative humidity (RH) which affect the formaldehyde removal efficiency (ɳ) were studied to determine optimum conditions. Results show that, the correlation coefficient (R²) of removal efficiency dependence on the processing parameters follow the order R² (F) = 0.99 > R² (RH) = 0.96, > R² (Cin) = 0.94> R² (P) = 0.93. The removal efficiency reached 98.45% under the optimum conditions of P=0.6 W, Cin=0.1 ppm, F=0.2 m3/h, and RH=65% with no secondary pollution. The study provided a theoretical and experimental basis for the application of DBD plasma for air purification in the built environment.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Degree Of Removal (C Out /C In )mentioning

confidence: 99%