Effects of Injection Strategies on Mixture Formation and Combustion in a Spark-Ignition Engine Fueled with Syngas-Biogas-Hydrogen

Nguyen-Thi, Thanh Xuan; Bui, Thi Minh Tu

doi:10.14710/ijred.2023.49368

Cited by 15 publications

(4 citation statements)

References 81 publications

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“…Through the reduction of greenhouse gas emissions and the mitigation of waste disposal issues, its production advances the circular economy (Hoang et al, 2022a;Kapoor et al, 2020). Collectively, these biofuels provide a substantial contribution to the creation of renewable energy sources and the lessening of environmental harmful impacts (Nguyen-Thi and Bui, 2023;Yilmaz, 2012;Yuvenda et al, 2022).…”

Section: Application Of Machine Learning In Biofuelsmentioning

confidence: 99%

Unlocking renewable energy potential: Harnessing machine learning and intelligent algorithms

Le,

Paramasivam,

Adril

et al. 2024

Int. J. Renew. Energy Dev.

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This review article examines the revolutionary possibilities of machine learning (ML) and intelligent algorithms for enabling renewable energy, with an emphasis on the energy domains of solar, wind, biofuel, and biomass. Critical problems such as data variability, system inefficiencies, and predictive maintenance are addressed by the integration of ML in renewable energy systems. Machine learning improves solar irradiance prediction accuracy and maximizes photovoltaic system performance in the solar energy sector. ML algorithms help to generate electricity more reliably by enhancing wind speed forecasts and wind turbine efficiency. ML improves the efficiency of biofuel production by optimizing feedstock selection, process parameters, and yield forecasts. Similarly, ML models in biomass energy provide effective thermal conversion procedures and real-time process management, guaranteeing increased energy production and operational stability. Even with the enormous advantages, problems such as data quality, interpretability of the models, computing requirements, and integration with current systems still remain. Resolving these issues calls for interdisciplinary cooperation, developments in computer technology, and encouraging legislative frameworks. This study emphasizes the vital role of ML in promoting sustainable and efficient renewable energy systems by giving a thorough review of present ML applications in renewable energy, highlighting continuing problems, and outlining future prospects

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Section: Application Of Machine Learning In Biofuelsmentioning

confidence: 99%

Unlocking renewable energy potential: Harnessing machine learning and intelligent algorithms

Le,

Paramasivam,

Adril

et al. 2024

Int. J. Renew. Energy Dev.

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show abstract

“…All of the existing major shipping fuels are hydrocarbons. The H2/carbon ratio is considered to be an important factor since a greater proportion can lead to a fuel that is more energy-efficient and discharges fewer CO2 emissions [122], [123]. Thus, H2 or H2 carriers could become a zero-emission alternative for future transport [124]- [126].…”

Section: Hydrogen and Hydrogen Carriersmentioning

confidence: 99%

Understanding Fuel Saving and Clean Fuel Strategies Towards Green Maritime

Nguyen

Rudzki

Dzida

et al. 2023

Polish Maritime Research

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Due to recent emission-associated regulations imposed on marine fuel, ship owners have been forced to seek alternate fuels, in order to meet the new limits. The aim of achieving low-carbon shipping by the year 2050, has meant that alternative marine fuels, as well as various technological and operational initiatives, need to be taken into account. This article evaluates and examines recent clean fuels and novel clean technologies for vessels. The alternative fuels are classified as low-carbon fuels, carbon-free fuels, and carbon neutral fuels, based on their properties. Fuel properties, the status of technological development, and existing challenges are also summarised in this paper. Furthermore, researchers have also investigated energy-saving devices and discovered that zero-carbon and virtually zero-carbon clean fuels, together with clean production, might play an important part in shipping, despite the commercial impracticability of existing costs and infrastructure. More interestingly, the transition to marine fuel is known to be a lengthy process; thus, early consensus-building, as well as action-adoption, in the maritime community is critical for meeting the expectations and aims of sustainable marine transportation.

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“…Besides, the oxy-hydrogen injection strategies are less attention to be studied, hence the extended discussion on this topic is limited. Several studies about gaseous fuel injection strategy found that it also impacts engine performance and emissions improvements Nguyen-Thi & Bui, 2023;Zaman et al, 2019). However, the oxyhydrogen injection strategy such as modifying the injector diameter on dual-fuel engines also possibly affects the engine performance and emissions.…”

Section: Introductionmentioning

confidence: 99%

Performance and carbon emissions of a diesel/oxy-hydrogen dual-fuel engine with oxy-hydrogen injection variation under low and medium load conditions

Felayati,

Prasutiyon,

Janah

et al. 2024

Int. J. Renew. Energy Dev.

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Reducing carbon emissions such as carbon dioxide (CO2) and carbon monoxide (CO) from diesel engines struggled with engine performance challenges and fossil fuel limitations. Besides, huge transportation such as ships hardly replaced diesel engines due to the higher thermal efficiency and low operation cost. Oxy-hydrogen gas, as a carbon-free gas, could potentially improve diesel engine performance and carbon emissions. Most of the studies tried to identify the effect of oxy-hydrogen induction into diesel engine combustion on performance and emissions. However, this study evaluated oxy-hydrogen injector sizes to the diesel engine performance and carbon emissions at several loads and several engine speed conditions. Overall, the result showed that the oxy-hydrogen gas injection into the diesel engine’s intake port improved the performance and carbon emissions compared to the single diesel fuel as a baseline. High engine performance with low carbon emissions could be achieved at low and medium engine load conditions with high engine speeds. Moreover, smaller oxy-hydrogen injector sizes were suitable for the medium engine load and vice versa, to improve the performance and carbon emissions. At low load, the engine performance improvement of engine torque, specific fuel consumption, and thermal efficiency were 1800 to 2200 rpm. Moreover, the CO2 and CO emissions reductions were also suitable with 2200 rpm with a bigger oxy-hydrogen gas injector (6 mm). Furthermore, at medium load, the engine performance improved at 1400 rpm but the CO2 and CO emissions were lower at 2200 rpm with a small oxy-hydrogen gas injector (4 mm). The engine operation at 2200 rpm with a 4 mm injector also improved the engine performance regarding carbon emissions reduction. However, injecting oxy-hydrogen gas into diesel engines had the potential to enhance the engine performance and reduce carbon emissions, moving closer to achieving zero emissions

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Effects of Injection Strategies on Mixture Formation and Combustion in a Spark-Ignition Engine Fueled with Syngas-Biogas-Hydrogen

Cited by 15 publications

References 81 publications

Unlocking renewable energy potential: Harnessing machine learning and intelligent algorithms

Unlocking renewable energy potential: Harnessing machine learning and intelligent algorithms

Understanding Fuel Saving and Clean Fuel Strategies Towards Green Maritime

Performance and carbon emissions of a diesel/oxy-hydrogen dual-fuel engine with oxy-hydrogen injection variation under low and medium load conditions

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