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標題: | A comprehensive process optimization study of the mixing assisted oxidative desulfurization of diesel oil |
作者: | Choi, Angelo Earvin Sy Roces, Susan A. Dugos, Nathaniel P. Wan, Meng Wei |
貢獻者: | De La Salle Univ, Dept Chem Engn Chia Nan Univ Pharm & Sci, Dept Environm Engn & Sci |
關鍵字: | Box-Behnken design High shear mixer Oxidative desulfurization Process optimization Raw diesel Sulfur conversion |
日期: | 2023 |
上傳時間: | 2024-12-25 11:04:14 (UTC+8) |
出版者: | ELSEVIER |
摘要: | In the aspect of oils derived from fossil fuel, it is vital to remove high sulfur con-centrations via the desulfurization technique before its combustion. In this study, a comprehensive process optimization analysis for the mixing assisted oxidative desulfur-ization (MAOD) that undertakes a process intensification method by a high shear mixer and the simultaneous application of the sodium phosphotungstate/hydrogen peroxide (NaPW/H2O2) system were examined for the treatment of a raw diesel sample. The response surface methodology via Box-Behnken design for the method of MAOD was employed to examine the parametric influences of sulfur conversion by the independent variables of mixing time (6 min to 30 min), NaPW dose (10 mg to 500 mg), H2O2 concentration (30 %v/v to 50 %v/v), and reaction temperature (30 degrees C to 70 degrees C). The investigation of the level of significance in the individual process variable and its respective interactive effects were investigated through an analysis of variance. The results indicated that the process variables of mixing time, NaPW dosage, and reaction temperature has high statistical significance (p-value < 0.0001). The mean optimum sulfur conversion of 96.6 % for the raw diesel samples has been attained after three confirmatory runs at 29.6 min, 471.4 mg NaPW, 44.4 %v/v H2O2, and 62.8 degrees C. Therefore, the results obtained in this research demonstrated the novel application of MAOD as the desulfurization technique to treat raw diesel. This validates a promising result for the application of MAOD as a prospective methodology for future applications.(c) 2023 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
關聯: | Environmental Technology & Innovation, v.31, Article 103144 |
顯示於類別: | [環境工程與科學系(所)] 期刊論文
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