Science and Technology Progress on the Desulfurization Process of Crude Oil

Jumina,; Kurniawan, Yehezkiel Steven; Purwono, Bambang; Siswanta, Dwi; Priastomo, Yoga; Winarno, Agustinus; Waluyo, Joko

doi:10.1002/bkcs.12342

Cited by 14 publications

(5 citation statements)

References 161 publications

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“…The C–S bond energy is similar to the CC bond energy as a result of the aromaticity of DBT. Therefore, the selectivity of the HDS process is suboptimal, and it can damage aromatic hydrocarbon compounds in crude oil during the HDS of DBT. , …”

Section: Approaches For Desulfurizationmentioning

confidence: 99%

Assessment of Reaction Parameters in the Oxidative Desulfurization Reaction

Sahraei

2023

Energy Fuels

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Nowadays, the scientific community is actively researching the advancement of a sustainable effective desulfurization technique. The development of alternative or supplementary approaches to desulfurization has rapidly progressed in recent years. Among these approaches, the oxidative desulfurization (ODS) process stands out as a highly promising method. This can be attributed to its notable selectivity, cost-effectiveness, mild reaction conditions, and overall efficiency. It is essential to consider the role of oxidants, catalysts, and operating conditions in optimizing the ODS process. This review examines a comprehensive understanding of the ODS process and its potential applications in desulfurization. It highlights the importance of oxidants, extractant solvent, and other operating conditions in the ODS process and discusses the different groups of catalysts that can be used. In addition, the review examines five distinct groups of heterogeneous catalysts used in the ODS process: transition metal oxides stabilized, polyoxometalates, ionic liquids, carbon materials, and porous materials. The role of ionic liquids in catalytic and extractive oxidation is also explored. In recent years, alternative or supplementary desulfurization methods have been rapidly developed. The review discusses the advantages and disadvantages of each approach. It explores various techniques that can be employed to mitigate the drawbacks associated with each system.

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Section: Approaches For Desulfurizationmentioning

confidence: 99%

Assessment of Reaction Parameters in the Oxidative Desulfurization Reaction

Sahraei

2023

Energy Fuels

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“…Despite the development of the renewable energy sector, crude oil is still one of the most important industrial raw materials and strategic reserves; this situation considerably affects socioeconomic development due to technological constraints and the additional restrictions imposed by the COVID-19 pandemic. [2][3][4][5][6][7] The accurate prediction of energy prices is crucial for governments, financial companies, and energy companies. Governments can avoid policy failure or resource waste by accurately predicting the trend of energy prices when formulating energy policies, maximizing profits and ensuring the stability of energy supply.…”

Section: Introductionmentioning

confidence: 99%

“…Energy price, which is considered an important factor in ensuring people's living standards and developing national economies, is closely linked to global economic development, international relations, and national policies. Despite the development of the renewable energy sector, crude oil is still one of the most important industrial raw materials and strategic reserves; this situation considerably affects socioeconomic development due to technological constraints and the additional restrictions imposed by the COVID‐19 pandemic 2–7 . The accurate prediction of energy prices is crucial for governments, financial companies, and energy companies.…”

Section: Introductionmentioning

confidence: 99%

Crude oil price forecasting: An ensemble‐driven long short‐term memory model based on CEEMDAN decomposition and ALS‐PSO optimization

Wang,

Yang,

Zhou

et al. 2023

Energy Science & Engineering

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As the lifeline of various industries, crude oil is frequently considered a pillar of economic development. The accurate and reliable prediction of crude oil price can provide investors and decision makers with valuable guidance for formulating their strategies. However, the complexity of the crude oil market and the volatility of oil prices pose significant challenges to forecasting crude oil price. To achieve higher prediction accuracy, this paper proposes a new model in which a new modal component reconstruction rule based on sample entropy (SE) is innovatively proposed and includes an improved particle swarm optimization model to avoid getting trapped in a local optimal solution. Two real crude oil price series are selected for experimentation, and the results demonstrate that the proposed model exhibits superior performance in predicting crude oil price. The developed model outperforms the compared models in terms of mean absolute error, root‐mean‐square error, mean absolute percentage error, and coefficient of determination. This result indicates that Complete Ensemble Empirical Mode Decomposition with Adaptive Noise exhibits better decomposition performance. SE can effectively reduce error accumulation, and particle swarm optimization with an adaptive learning strategy (ALS‐PSO) achieves better optimization results for a long short‐term memory network compared with PSO only. Therefore, the proposed model is an effective crude oil price prediction tool that can be applied in practice for investment and policy‐making.

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“…With the enhancement of global environmental awareness, many laws have been promulgated to limit the sulfur content in fuels to extremely low levels (should not exceed 10 ppm) . Therefore, the use of deep desulfurization technologies to reduce the sulfur content in fossil fuels has become one of the more concerned research topics nowadays …”

Section: Introductionmentioning

confidence: 99%

Deep Oxidative Desulfurization of Model Fuels Catalyzed by Subnanosized Ti Oxoclusters

et al. 2022

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Oxidative desulfurization is a highly effective approach to decrease the sulfur content in transportation fuel and has become an attractive research topic in recent years. Herewith, we have developed a new kind of carboxylic acid-functionalized imidazolium-based ionic liquid-stabilized Ti oxoclusters via a solvothermal method. The as-synthesized Ti oxoclusters were investigated by elemental analysis, Fourier transform infrared spectroscopy, diffuse reflectance UV–vis, X-ray diffraction, thermogravimetric analysis, high-resolution transmission electron microscopy (HRTEM), and high-angle annular dark field–scanning TEM. Characterization indicated that Ti oxoclusters existed in the form of subnanosized structure and uniformly dispersed with an average particle size of ca. 1 nm due to the protection role of the ionic liquids (ILs). Especially, Ti oxo–HSO4 afforded a superior catalytic activity in the extraction and catalytic oxidative desulfurization process with MeOH as an extractant and H2O2 as an oxidant. The full removal of dibenzothiophene in model fuels was achieved within 30 min at 60 °C. Besides, the Ti oxoclusters were robust and exhibited high stability in consecutive catalytic recycles. The parent Ti oxoclusters treated with H2O2 can afford Ti–OOH species, which was catalytically active species. The anion HSO4 – in IL played a crucial role in the activation of Ti–hydroperoxo species by forming hydrogen bonds. This may provide a new insight into the construction of metal oxoclusters for oxidative desulfurization.

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Science and Technology Progress on the Desulfurization Process of Crude Oil

Cited by 14 publications

References 161 publications

Assessment of Reaction Parameters in the Oxidative Desulfurization Reaction

Assessment of Reaction Parameters in the Oxidative Desulfurization Reaction

Crude oil price forecasting: An ensemble‐driven long short‐term memory model based on CEEMDAN decomposition and ALS‐PSO optimization

Deep Oxidative Desulfurization of Model Fuels Catalyzed by Subnanosized Ti Oxoclusters

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