Modeling, polynomial regression, and artificial bee colony optimization of SI engine performance improvement powered by acetone-gasoline fuel blends

Article Energy & Fuels

Exhaust emission reduction of a SI engine using acetone-gasoline fuel blends: Modeling, prediction, and whale optimization algorithm

Hussein Alahmer et al.

Summary: Adding 5-10% acetone to the fuel mixture can reduce the emissions of carbon monoxide, unburned hydrocarbons, and nitrogen oxides, while improving the brake power of the SI engine.

ENERGY REPORTS (2023)

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Article Green & Sustainable Science & Technology

Environmental Assessment of a Diesel Engine Fueled with Various Biodiesel Blends: Polynomial Regression and Grey Wolf Optimization

Ali Alahmer et al.

Summary: The environmental effects of biodiesel blends made of different vegetable oils on diesel engine emissions and noise were assessed through a series of tests. A prediction framework and a regression model optimized by the grey wolf optimization algorithm were developed to determine the optimal engine speed and fuel type for reducing emissions and maximizing engine performance. The experimental and optimization results showed that biodiesel blends generally had lower emissions of unburned hydrocarbon, carbon dioxide, and carbon monoxide compared to diesel fuel, but higher nitrogen oxide emissions. The noise level produced by biodiesel, especially palm biodiesel, was lower than that of pure diesel. The proposed PR-GWO model exhibited remarkable predictive reliability and could be used to predict and maximize engine performance while minimizing exhaust and noise emissions.

SUSTAINABILITY (2022)

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Article Mathematics

Modeling and Optimization of a Compression Ignition Engine Fueled with Biodiesel Blends for Performance Improvement

Ali Alahmer et al.

Summary: Biodiesel is considered a promising alternative to diesel fuel, and this study aims to improve the performance of compression ignition engines fueled by biodiesel blends. The research focuses on evaluating the output performance of the engine using different metrics and optimizing the operating parameters using a combination of fuzzy logic and the particle swarm optimization algorithm.

MATHEMATICS (2022)

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Article Energy & Fuels

Optimization and investigation the effects of using biodiesel-ethanol blends on the performance and emission characteristics of a diesel engine by genetic algorithm

Alireza Shirneshan et al.

Summary: The research investigated the combined effects of biodiesel-ethanol fuel blends on a diesel engine's performance and emission parameters using response surface methodology. Results showed that increasing ethanol in the fuel mixture decreased brake power and torque, while improving BSFC. Higher ethanol percentage led to reduced smoke and NOx emissions, while higher biodiesel percentage reduced CO emissions. Genetic algorithm optimization showed optimal conditions with 94.65% biodiesel, 2800 RPM, and 65.75% engine load. Ethanol was found to be more effective in improving emission characteristics than performance characteristics.

FUEL (2021)

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Article Thermodynamics

Effect of Ca-based additives on the capture of SO2 during combustion of pulverized lignite

Wojciech Zacharczuk et al.

Summary: The study found that adding calcium to lignite during combustion effectively suppressed the emission of SO2, with sulfur capture efficiency increasing with temperature. In addition, some inherent inorganic species in lignite, especially calcium, were also found to reduce SO2 pollution during combustion.

ENERGY (2021)

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Article Energy & Fuels