Investigating and optimizing the mixture of hydrogen-biodiesel and nano-additive on emissions of the engine equipped with exhaust gas recirculation

Eslami, Mohammad; Samani, Bahram Hosseinzadeh; Rostami, Sajad; Ebrahimi, Rahim; Shirneshan, Alireza

doi:10.1080/17597269.2022.2148877

Cited by 11 publications

(5 citation statements)

References 45 publications

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“…Considering the high conversion percentage of 94% in both studies, it can be concluded that the use of plasma in the production of this fuel is a correct choice to achieve a high conversion percentage of biodiesel. [17]…”

Section: Comparison Of the Oscillatory Methods With The Combined Plas...mentioning

confidence: 99%

“…At first, after 18 min, the reaction efficiency was reported to be 36%; after 60 min, the reaction efficiency reached 41%, and then after more time, the efficiency increased to 72%. Ansari et al [17] utilized a plasma jet for the pretreatment of sunflower oil for biodiesel production. They combined this system with a hydrodynamic cavitation reactor and found that increasing the PET led to higher methyl ester conversion.…”

Section: Effect Of Pet and Mrmentioning

confidence: 99%

“…Over 90% of the universe exists in a plasma state. [10,17] Plasma technology can use high-energy electrons due to the collision between these electrons and the reaction mixture. A high-voltage electrode provides high-energy electrons from a high-voltage power source.…”

Section: Introductionmentioning

confidence: 99%

“…Also, high-energy electrons are expected to replace the catalyst during transesterification reactions. [10,17] In the cold plasma method, reaching a high conversion percentage requires a long exposure time. This study combines cold plasma and oscillatory methods to achieve improved biodiesel conversion rates, shorter reaction times, and reduced reactor dimensions.…”

Section: Introductionmentioning

confidence: 99%

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Unleashing the Power of Plasma and Flow: A Novel Cold Plasma‐Oscillatory System for Enhanced Continuous Biodiesel Production from Sunflower Oil

Taki,

Hosseinzadeh Samani,

Anasari Ardali

2024

Energy Tech

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While fossil fuel resources are limited, the increasing demand for energy in the industrial and transportation sectors has led to using renewable fuels. This study aims to improve biodiesel production from sunflower oil by combining cold plasma and oscillatory systems through a transesterification process. The four main operational variables are examined, such as molar ratio (MR) (1:6–1:12), catalyst concentration (CC) (0.5–1.25 wt%), plasma exposure time (PET) (25–75 s), and residence time (RT) (30–90 s). The smooth periodic constriction reactor's physical attributes, including the diameter of the tube (D), the diameter of the constricted region (d0), and the distance between baffles (l), as well as the properties of the cold plasma system, are determined. The data analysis presents that PET, RT, CC, and MR have the greatest effect on efficiency. This optimization indicates that by exposing the reaction mixture to plasma for 59.99 s, adding 1.09% by weight of the catalyst, and with a MR of 7.17 in 86.43 s, biodiesel with a conversion percentage of 94.75% is produced. The results show that the optimum point matches with EN 14214 standard.

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Section: Comparison Of the Oscillatory Methods With The Combined Plas...mentioning

confidence: 99%

Section: Effect Of Pet and Mrmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Unleashing the Power of Plasma and Flow: A Novel Cold Plasma‐Oscillatory System for Enhanced Continuous Biodiesel Production from Sunflower Oil

Taki,

Hosseinzadeh Samani,

Anasari Ardali

2024

Energy Tech

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“…With industry development, the energy crises and environmental pollution have been paid more attention [1]. Diesel engine performance optimization and emission control are the main research topics in the diesel engine feld [2,3]. As emissions requirements for diesel engines have become more stringent, diferent after-treatment technologies have been introduced to the market [4,5].…”

Section: Introductionmentioning

confidence: 99%

Multiobjective Optimization of Diesel Particulate Filter Regeneration Conditions Based on Machine Learning Combined with Intelligent Algorithms

Wang,

Li,

Wang

et al. 2024

International Journal of Intelligent Systems

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To reduce diesel emissions and fuel consumption and improve DPF regeneration performance, a multiobjective optimization method for DPF regeneration conditions, combined with nondominated sorting genetic algorithms (NSGA-III) and a back propagation neural network (BPNN) prediction model, is proposed. In NSGA-III, DPF regeneration temperature (T4 and T5), O2,NOx, smoke, and brake-specific fuel consumption (BSFC) are optimized by adjusting the engine injection control parameters. An improved seagull optimization algorithm (ISOA) is proposed to enhance the accuracy of BPNN predictions. The ISOA-BP diesel engine regeneration condition prediction model is established to evaluate fitness. The optimized fuel injection parameters are programmed into the engine’s electronic control unit (ECU) for experimental validation through steady-state testing, DPF active regeneration testing, and WHTC transient cycle testing. The results demonstrate that the introduced ISOA algorithm exhibits faster convergence and improved search abilities, effectively addressing calculation accuracy challenges. A comparison between the SOA-BPNN and ISOA-BPNN models shows the superior accuracy of the latter, with reduced errors and improved R2 values. The optimization method, integrating NSGA-III and ISOA-BPNN, achieves multiobjective calibration for T4 and T5 temperatures. Steady-state testing reveals average increases of 3.14%, 2.07%, and 10.79% in T4, T5, and exhaust oxygen concentrations, while NOx, smoke, and BSFC exhibit average decreases of 8.68%, 12.07%, and 1.03%. Regeneration experiments affirm the efficiency of the proposed method, with DPF regeneration reaching 88.2% and notable improvements in T4, T5, and oxygen concentrations during WHTC transient testing. This research provides a promising and effective solution for calibrating the regeneration temperature of DPF, thus reducing emissions and fuel consumption of diesel engines while ensuring safe and efficient DPF regeneration.

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A review of combustion properties, performance, and emission characteristics of diesel engine fueled with Al2O3 nanoparticle-containing biodiesel

Sharifianjazi

Esmaeilkhanian

Karimi

et al. 2023

Clean Techn Environ Policy

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Investigating and optimizing the mixture of hydrogen-biodiesel and nano-additive on emissions of the engine equipped with exhaust gas recirculation

Cited by 11 publications

References 45 publications

Unleashing the Power of Plasma and Flow: A Novel Cold Plasma‐Oscillatory System for Enhanced Continuous Biodiesel Production from Sunflower Oil

Unleashing the Power of Plasma and Flow: A Novel Cold Plasma‐Oscillatory System for Enhanced Continuous Biodiesel Production from Sunflower Oil

Multiobjective Optimization of Diesel Particulate Filter Regeneration Conditions Based on Machine Learning Combined with Intelligent Algorithms

A review of combustion properties, performance, and emission characteristics of diesel engine fueled with Al2O3 nanoparticle-containing biodiesel

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