DBD plasma based ozone injection in a biodiesel exhaust and estimation of NO&lt;inf&gt;x&lt;/inf&gt; reduction by dimensional analysis approach

Mukherjee, Dipanwita Sinha; Rajanikanth, BS

doi:10.1109/tdei.2016.005919

Cited by 9 publications

(5 citation statements)

References 31 publications

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“…In this work, since we used dry air for generating bubble or ozone, nitrogen oxides were generated inside bubble by these plasma and chemical reactions in gas [11], [12], [13], [14] e…”

Section: B Effect Of Nitrogen Oxidesmentioning

confidence: 99%

Sterilization of Underwater Bacteria by Ozone Bubble Pulsed Discharge

Ueda

Miyata

Tsubota

et al. 2023

IEEE Trans. Plasma Sci.

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Electric discharge is going to be applied to bacterici-1 dal inactivation in water without chemical dosing. In this article, 2 the sterilization experiments of simulated reused water from an 3 industrial washing machine were conducted by three different 4 treatment methods: 1) air bubble pulsed discharge (ABPD); 2) O 3 5 alone; and 3) ozone bubble pulsed discharge (OBPD). The results 6 showed that: 1) the highest sterilization effect was obtained by 7 OBPD treatment and 2) since the number of sterilized bacteria 8 by OBPD treatment was larger than the sum of the number 9 of sterilized bacteria by ABPD treatment and that of by O 3 10 alone treatment, the synergistic effect by OBPD treatment exists. 11 In order to clarify the decisive factor of synergistic effect by 12 OBPD treatment, we measured dissolved O 3 concentration, pH, 13 NO − 3 concentration, emission intensities of O radical, and H 2 O 2 14 concentration. As a result, dissolved O 3 concentrations were less 15 than 0.02 mg/L in all conditions, there was no difference in pH 16 from NO − 3 between ABPD treatment and OBPD treatment, there 17 was no difference between emission intensities from O radical 18 generated by ABPD treatment and OBPD treatment, the highest 19 H 2 O 2 concentration was obtained by OBPD treatment, and the 20 number of sterilized bacteria by H 2 O 2 (5.82 mg/L) with O 3 21 (100 ppm) bubble was larger than the sum of the number of 22 sterilized bacteria by H 2 O 2 (5.82 mg/L) with air bubble and O 3 23 alone treatment. From these results, we conclude that the H 2 O 2 24 concentration increase and the AOP by O 3 /H 2 O 2 are the decisive 25 factor of the synergistic effect by OBPD treatment. 26 Index Terms-Dissolved O 3 , hydrogen peroxide, O radical, 27 ozone bubble pulsed discharge (OBPD) treatment, sterilization 28 effect, synergistic effect. 29 I. INTRODUCTION 30 I NDUSTRIAL washing machines are widely used for linen 31 service company to provide clean sheets, uniforms, and so 32 on. In the machine, wash, rinse, and dehydration processes can 33 be carried out with one device. In order to reduce wastewater 34 and water consumption from the industrial washing machine, 35 reused water that is generated after rinse and dehydration 36

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“…In this work, since we used dry air for generating bubble or ozone, nitrogen oxides were generated inside bubble by these plasma and chemical reactions in gas [11], [12], [13], [14] e…”

Section: B Effect Of Nitrogen Oxidesmentioning

confidence: 99%

Sterilization of Underwater Bacteria by Ozone Bubble Pulsed Discharge

Ueda

Miyata

Tsubota

et al. 2023

IEEE Trans. Plasma Sci.

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“…(14) Consider the training patterns F a , M a for beginning the learning process by MLP algorithm, here the count of training patterns are denoted by a, 1 ≤ a ≤ Q, F a and M a define the vector inputs and preferred vector outputs, correspondingly. In the output layer, the error of every neuron in j^ is evaluated based on (15)…”

Section: Deep Belief Network-based Bio-diesel Blend Modellingmentioning

confidence: 99%

“…The core challenge in the biodiesel blend [11][12][13][14] usage is because of its bad oxidative stability. The oxygen that is present in the atmosphere reacts with the biodiesel [15,16] and generates caustic carboxylic acids and vaporisable compounds by which the engine components get damaged. In recent days, various countries have to act out regulations or laws to encourage biodiesel's raised usage by implementing incentives and requirements [17,18].…”

Section: Introductionmentioning

confidence: 99%

Modelling of biodiesel blend using optimised deep belief network: blending waste cooking oil methyl ester with tyre pyrolysis oil

Ganitha

Ganesan

Sengottuvelu

2020

IET Renewable Power Generation

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“…As described before, dimensional analysis is the only method used for this application as per the literature [1,11,12]. In these studies, the models were not tested for a lesser compared to that of the remaining experiments.…”

Section: Comparison With Dimensional Analysis-based Modelmentioning

confidence: 99%

“…In most of the studies [1,11,12], dimensional analysis has been used for this purpose by relating the NO X concentration with two or three other operating parameters of the NTP process. The disadvantage of the models derived using this method is that the root-mean-square error (RMSE) between experimental and predicted values of NO X concentrations would be more for an experimental data other than that by which the model is trained.…”

Section: Introductionmentioning

confidence: 99%

Response surface methodology-based model for prediction of NO and NO2 concentrations in nonthermal plasma-treated diesel exhaust

Allamsetty

Mohapatro

2019

SN Appl. Sci.

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Nonthermal plasma (NTP) technique for diesel exhaust emission control has been in the interest of the researchers from the last two decades, and it almost became a laboratory-proven technique for its efficiency over conventional techniques. A prior prediction of effectiveness of the process may lead to overcome the constraints in bringing this technique to real-time applications of diesel exhaust pollution control. In this present study, an attempt is made to find out the most dominating parameters and to predict the sum of NO and NO 2 concentrations in NTP-treated diesel exhaust with respect to variations in operating parameter values using response surface methodology (RSM). Experiments have been conducted following 3 N full factorial design and collected the data by varying voltage, flow rate, temperature, discharge gap and initial (NO + NO 2 ) concentrations. The regression coefficients of the RSM-based mathematical model have been obtained by training it using these experimental data. The root-mean-square error (RMSE) is 4.7 ppm during the training. When this model is tested for a data other than that given during training (test data), the RMSE is 5.6 ppm. Further, the results are also compared with the model derived using the only available method in the literature, i.e., dimensional analysis, and found to be performing better.

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DBD plasma based ozone injection in a biodiesel exhaust and estimation of NO<inf>x</inf> reduction by dimensional analysis approach

Cited by 9 publications

References 31 publications

Sterilization of Underwater Bacteria by Ozone Bubble Pulsed Discharge

Sterilization of Underwater Bacteria by Ozone Bubble Pulsed Discharge

Modelling of biodiesel blend using optimised deep belief network: blending waste cooking oil methyl ester with tyre pyrolysis oil

Response surface methodology-based model for prediction of NO and NO2 concentrations in nonthermal plasma-treated diesel exhaust

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