Assessment of the exergy, emissions, and combustion characteristics of a diesel engine operating on low-glyceride biodiesel blended with diesel fuel

Zapata-Mina, Juan; Restrepo, Álvaro; Tibaquirá, Juan Esteban

doi:10.1016/j.csite.2022.102636

Cited by 11 publications

(2 citation statements)

References 32 publications

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“…The testing engine was coupled with an electric generator, and the load cell combination was used to vary the load on the engine test rig. Numerous studies have discovered the factors influencing engine parameters [10][11][12]. Table 3 shows two key input variables viz; blending ratio and load with their upper and lower limits.…”

Section: Experimental Setup Design and Methodologymentioning

confidence: 99%

“…For estimating the fluctuation of BSFC, BTE, and emission parameters (CO, NOx, HC, etc) with load, speed, blending ratios, and injection time, performance examination of various biodiesels from non-edible and edible sources of oils was carried out by many researchers [8][9][10][11][12][13][14][15][16]. The best sets of solutions have been predicted using multi-objective optimization approaches such as MOGA (Multi-objective genetic algorithm), NSGA (Nondominated sorting genetic algorithm), PSO, Desirability approach, etc [17][18][19][20].…”

Section: Introductionmentioning

confidence: 99%

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Multi-objective parameter optimization for four-stroke single-cylinder diesel engine with soyabean oil blends using NSGA-II

Kumar,

Kumar Dhingra,

Chhabra

et al. 2023

Eng. Res. Express

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Due to the continuous scarcity of petroleum and related products, there is a greater need for alternative product to petroleum derivatives. The current work investigates the factors influencing the output characteristics of a single-cylinder four-stroke compression ignition engine by utilizing different combinations of blends of soybean biodiesel and fossil diesel, by weight/weight. The experiments have been conducted using the Response Surface Method based on full factorial CCRD and NSGA-II. Mathematical models for BSFC (brake-specific fuel consumption), BTE (brake thermal efficiency), and emission (CO, NOx, and unburned HC) have been proposed using regression equations for optimizing the combustion characteristics (brake-specific fuel consumption), performance characteristics (brake thermal efficiency), and emission parameters (CO, NOx, HC) in NSGA II. A multi-objective optimization problem is created since this investigation aims to minimize BSFC, CO, NOx, and HC and maximize BTE. This research evaluated five optimum combinations of BSFC, BTE, NOx, CO, and HC at variable input factors’ blending ratio and load, and their conformity was checked. It is observed that at a blending ratio of 25.03, the engine performance and emission give better results. At a blending ratio of 25.03 % w/w and load 2.08 kW, the brake thermal efficiency is 24.96%, and emission parameters are NOx 52.56 ppm, CO 0.08 %, and hydrocarbon 18.11 ppm.

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Section: Experimental Setup Design and Methodologymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Multi-objective parameter optimization for four-stroke single-cylinder diesel engine with soyabean oil blends using NSGA-II

Kumar,

Kumar Dhingra,

Chhabra

et al. 2023

Eng. Res. Express

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Optimizing soybean biofuel blends for sustainable urban medium-duty commercial vehicles in India: an AI-driven approach

Rajak,

Chaurasiya,

Verma

et al. 2024

Environ Sci Pollut Res

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This article presents the outcomes of a research study focused on optimizing the performance of soybean biofuel blends derived from soybean seeds specifically for urban medium-duty commercial vehicles. The study took into consideration elements such as production capacity, economics and assumed engine characteristics. For the purpose of predicting performance, combustion and emission characteristics, an artificial intelligence approach that has been trained using experimental data is used. At full load, the brake thermal efficiency (BTE) dropped as engine speed increased for biofuel and diesel fuel mixes, but brake-specific fuel consumption (BSFC) increased. The BSFC increased by 11.9% when diesel compared to using biofuel with diesel blends. The mixes cut both maximum cylinder pressure and $${{\text{NO}}}_{{\text{x}}}$$ NO x emissions. The biofuel-diesel fuel proved more successful, with maximum reduction of 9.8% and 22.2 at rpm, respectively. The biofuel and diesel blend significantly improved carbon dioxide ($${{\text{CO}}}_{2}$$ CO 2 ) and smoke emissions. The biofuel blends offer significant advantages by decreeing exhaust pollutants and enhancing engine performance. Graphical Abstract

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Predict the characteristics of the DI engine with various injection timings by Glycine max oil biofuel using artificial neural networks

Rajak,

Panchal,

Dasore

et al. 2024

Environ Sci Pollut Res

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Assessment of the exergy, emissions, and combustion characteristics of a diesel engine operating on low-glyceride biodiesel blended with diesel fuel

Cited by 11 publications

References 32 publications

Multi-objective parameter optimization for four-stroke single-cylinder diesel engine with soyabean oil blends using NSGA-II

Multi-objective parameter optimization for four-stroke single-cylinder diesel engine with soyabean oil blends using NSGA-II

Optimizing soybean biofuel blends for sustainable urban medium-duty commercial vehicles in India: an AI-driven approach

Predict the characteristics of the DI engine with various injection timings by Glycine max oil biofuel using artificial neural networks

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