Optimization of water and 1-pentanol concentrations in biodiesel-diesel blends for enhanced engine performance and environmental sustainability

Results in Engineering, Год журнала: 2024, Номер 24, С. 102953 - 102953

Опубликована: Сен. 20, 2024

Язык: Английский

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Predictive modeling of engine performance and emissions for castor oil ethyl ester biodiesel blends: A Gaussian process regression approach

Results in Engineering, Год журнала: 2024, Номер 22, С. 102362 - 102362

Опубликована: Июнь 1, 2024

Replacing fossil fuels with cleaner alternatives is essential. This study examines a biodiesel-diesel blend containing 8 % castor oil ethyl ester (COEE8) and its impact on engine performance, combustion characteristics, exhaust emissions. A single-cylinder diesel was tested under consistent conditions: an speed of 1500 rpm, varying loads (25 %, 50 75 maximum torque), compression ratios (16, 17, 18). Engine-out emissions were measured Testo flue gas analyzers. The results showed that COEE8 significantly decreased HC, CO, smoke compared to fuel but increased NOx Additionally, exhibited comparable brake-specific consumption (BSFC) brake thermal efficiency (BTE) fuel. optimal operating parameters determined using the Non-dominated Sorting Genetic Algorithm-II (NSGA-II), multi-objective optimization technique. Due limited data availability, Gaussian Process Regression (GPR), machine learning algorithm for small datasets, modeled functions ratio load as input variables. GPR model demonstrated high prediction performance across all output (BSFC, BTE, smoke, NOx, CO) both fuels, average coefficients determination (R2) 0.9896 0.9953, respectively, indicating strong correlation between predicted actual values. mean absolute percentage error (MAPE) also low, averaging 3.11 2.26 demonstrating model's accuracy. Using model, NSGA-II identified trade-off index fuels. 16 while varied, ranging from 20 30 around (almost 40 %)

Язык: Английский

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MACHINE LEARNING-BASED PREDICTIVE MODELLING OF BIODIESEL PRODUCTION FROM ANIMAL FATS CATALYSED BY A BLAST FURNACE SLAG GEOPOLYMER

Results in Engineering, Год журнала: 2025, Номер unknown, С. 104126 - 104126

Опубликована: Янв. 1, 2025

Язык: Английский

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Influence of copper oxide nano-particles on the performance, emission, and combustion measures of a VCR engine using palm biodiesel blended with N-butanol: A combined experimental and ANN-GA-based study

Fuel, Год журнала: 2024, Номер 381, С. 133504 - 133504

Опубликована: Окт. 30, 2024

Язык: Английский

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Optimisation of Trimethylolpropane Ester Synthesis from Waste Cooking Oil Methyl Ester by Response Surface Methodology, and its Physicochemical Properties and Tribological Characteristics

Results in Engineering, Год журнала: 2025, Номер unknown, С. 104055 - 104055

Опубликована: Янв. 1, 2025

Язык: Английский

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Enhancement of Combustion Performance and Emission Control in Bauhinia Malabarica Biodiesel-Diesel Blends Using Aluminium Oxide Nanoparticles and Electrostatic Precipitators

Cleaner Engineering and Technology, Год журнала: 2025, Номер unknown, С. 100981 - 100981

Опубликована: Апрель 1, 2025

Язык: Английский

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Optimization of Bio-Oil Blends in Gasoline Engines for Enhanced Efficiency and Emissions Reduction: A Response Surface Methodology Approach

Results in Engineering, Год журнала: 2024, Номер unknown, С. 103531 - 103531

Опубликована: Ноя. 1, 2024

Язык: Английский

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Experimental analysis of hemispherical combustion geometry of diesel engine (neem oil) biodiesel with nano additives

Deleted Journal, Год журнала: 2024, Номер 245(1)

Опубликована: Авг. 31, 2024

The current study examines the efficiency and environmental impact of a diesel engine running on neem oil biodiesel mixed with nano additions, notably Manganese oxide (MnO) Ferric chloride (FeCl3). seeks to tackle urgent problem pollutant emissions, specifically nitrogen oxides (NOx), from internal combustion engines. Biodiesel, sourced renewable substances such as oil, offers possible substitute for traditional fuel. Nevertheless, general use this technology is impeded by difficulties increased NOx emissions fuel volatility. In order address these difficulties, investigates application additives improve decrease emissions. Various blends, pure diesel, (B25), blends B25 MnO FeCl3, were used in experimental experiments. An ultrasonic aspirator was include 100 parts per million (ppm) each ingredient into B20 blend. performance metrics, including efficiency, power output, levels NOx, CO, HC, CO2, particulate matter, assessed compared standard results demonstrated that inclusion enhances properties, resulting decreased NOx. Brake Thermal Efficiency (BTE) nano-blended test fuels reduction Specific Fuel Consumption (BSFC). BTE (Brake Efficiency) level reaches its peak when operating at maximum load using + FeCl3 gases carbon monoxide (CO), hydrocarbons (HC), smoke, (NOx) are significantly lower than those produced operation. mix has higher emission hydrocarbon (HC) content other fuels, but it emits less HC exhibit optimal under conditions up 50%. Diesel, mix, MnO, had (CO) ranging 0.045 0.050%, whilst two have 0.029 0.035%. Under condition 50%, vary between 0.001% 0.011%. cylinder pressure heat release rates marginally elevated findings indicated additions potential be feasible eco-friendly

Язык: Английский

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Synthesis and characterisation of waste-derived biodiesel and enhancement of its energy and environmental metrics using cetane improver: an experimental study

International Journal of Ambient Energy, Год журнала: 2024, Номер 45(1)

Опубликована: Окт. 1, 2024

Язык: Английский

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Impacts of Environmental Conditions on Thermal, Emissions and Economic Performance of Gas Turbine Using Different Types of Fuels: An Experimental Investigation

Results in Engineering, Год журнала: 2024, Номер 24, С. 103402 - 103402

Опубликована: Ноя. 13, 2024

Язык: Английский

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