The effect of ionization energy and hydrogen weight fraction on the non-thermal plasma volatile organic compounds removal efficiency

Abstract

Volatile organic compounds (VOCs) such as benzene (C 6 H 6 ), methylbenzene (C 6 H 5 CH 3 ), dichloromethane (CH 2 Cl 2 ) and methyl ethyl ketone (CH 3 COCH 2 CH 3 ), are exhausted into the atmosphere from a variety of industrial processes [1]. The removals of these VOCs are required because they are responsible for many environmental problems and diseases such as ozone depletion, photochemical smog, heart disease, asthma and even cancer [1][2][3][4]. There exist a lot of traditional techniques for VOCs degradation, including adsorption, incineration and condensation [5][6][7][8]. These methods have

Atmospheric Pressure Non-thermal Plasma for Air Purification: Ions and Ionic Reactions Induced by dc+ Corona Discharges in Air Contaminated with Acetone and Methanol

“…Using GC-MS analysis, we did not detect any methanol in the gas at the reactor outlet during treatment of acetone containing air. Our findings are consistent with those of other studies which failed to detect methanol among the byproducts of acetone oxidation [38]. They are also consistent with the intrinsic reactivity of methanol which in our reactor is considerably higher than that of acetone.…”

Application of Isotope Tracer in Cross-Well Nanometre Tracer Testing

“…Comparing the production performance of the same nanometre tracer in the same layer with the table, when the nanometre tracer concentration curve has an obvious amplitude fluctuation trend, it is determined as the nanometre tracer well [ 16 ]. See Table 3 for the nanometre tracer production performance of each monitoring well in well block J1.…”

Construction and Simulation of Deep Learning Algorithm for Robot Vision Tracking

“…It can be seen from the comparison that the accuracy is improved from 90.9% to 90.13% after the addition of channel attention mechanism module. Variance was reduced from 3.78% to 1.27%, with better stability [22]. After the addition of the two attention mechanisms, combined with the image segmentation algorithm, tracking accuracy is higher, and the algorithm is more stable, as shown in Table 2.…”