Exergetic and exergoeconomic analyses of a CI engine fueled with diesel-biodiesel blends containing various metal-oxide nanoparticles

Karagöz, Mustafa; Uysal, Cüneyt; Ağbulut, Ümit; Sarıdemir, Suat

doi:10.1016/j.energy.2020.118830

Cited by 80 publications

(18 citation statements)

References 33 publications

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“…It is observed that the exergy destruction of the E15B35FTD50 and E15B35D50 blends were found to be respectively 2.4% and 1.8% higher than for the diesel fuel. Previous investigations have reported that the addition of biodiesel to diesel increases the exergy destruction rate of the blends in comparison with pure diesel [25]. Sarıkoç et al [27] obtained lower values of exergy destruction rate with diesel/biodiesel/butanol blends rather than with diesel fuel.…”

Section: Exergy Analysismentioning

confidence: 95%

“…T 0 (20) The sustainability index (SI) is a function of exergy efficiency and is one of the methods to assess the sustainability of a system and measures its environmental impact and economics of energy technologies or resources, showing the effects of changing the exergy efficiency of a process. The SI has a key role in understanding the sustainable usage of fuel energy resources when dealing with the assessment of the system [25,27]. Thus, the SI can be calculated by Equation ( 21), as given in [49].…”

Section: Ex Destmentioning

confidence: 99%

“…It becomes clear that the exergy efficiency is of great interest to the scientific community, as it directly identifies the existing destructions during the engine operation process. It is well established by the literature that increasing the engine load leads to an increase in the energy and exergy efficiencies [24,25], whilst increasing the engine speed causes the opposite effect [26,27]. Therefore, a detailed analysis of the effects of a specific fuel or blend on the energetic and exergetic efficiencies could be performed by comparing the efficiencies and the losses of the engine.…”

Section: Introductionmentioning

confidence: 99%

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Fischer-Tropsch Diesel and Biofuels Exergy and Energy Analysis for Low Emissions Vehicles

et al. 2021

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This research investigates the effects of a synthetic diesel-like fuel (Fischer-Tropsch diesel) and biofuels (ethanol and biodiesel) fuel blends on the energy-exergy efficiencies and gaseous exhaust emissions characteristics of a compression ignition engine. Two blends of alternative fuels denoted as E15B35FTD50 (15% ethanol, 35% biodiesel, and 50% Fischer-Tropsch diesel) and E15B35D50 (15% ethanol, 35% biodiesel, and 50% diesel) were experimentally studied on a single-cylinder diesel engine and compared to diesel fuel. The results show that the energetic and the exergetic efficiencies of the alternative fuels are comparable to those of the engine fueled with diesel fuel. The unburnt HC, NO, N2O, and NH3 emissions were reduced for the two alternative fuel blends compared to diesel, while CO emissions increased. The light HC species were found to slightly increase for the alternative fuel blends in comparison with diesel fuel. However, the total HC was considerably reduced by the combustion of E15B35FTD50 not only when compared to the diesel fuel combustion, but also when compared to E15B35D50. Overall, these results may contribute to identifying advantages and limitations in terms of energetic-exergetic analysis and emissions for the new generation of conventional diesel and hybrid electric vehicles that aim to achieve future emissions regulations.

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Section: Exergy Analysismentioning

confidence: 95%

Section: Ex Destmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Fischer-Tropsch Diesel and Biofuels Exergy and Energy Analysis for Low Emissions Vehicles

et al. 2021

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“…Based on Table 1, the overall uncertainty analysis is calculated using the following Equation (1) [84][85][86] F I G U R E 16 Prediction plot of ANN and ANFIS for SOB biodiesel yield. 81 ANFIS, adaptive neuro-fuzzy inference system; ANN, artificial neural network; SOB, sorrel oil biodiesel…”

Section: Noise Pollution From Tractormentioning

confidence: 99%

ANFIS modeling of biodiesels' physical and engine characteristics: A review

et al. 2021

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Population increase has resulted in an increase in the worldwide demand for alternative fuels due to depleting resources. There is a periodic increase in concern about the engine performance, pollutant emissions, and their predictions, from an engine using biodiesels. The use of intelligent algorithms in modeling and forecasting alternative fuels characteristics and their performance in engines are critically reviewed in this study. The paper aims at demonstrating with artificial intelligence methodologies the main conclusions of the recent research done for the above topic from 2012 to 2020. This article attempted to demonstrate an exploratory examination of the adaptive neuro-fuzzy inference system (ANFIS) soft computing technique used for the exact measurement and analysis of engine performance, emissions of exhaust engines when biodiesel is used as an alternative fuel. Additionally, the yield of biodiesel and their different characteristics predicted using ANFIS are also reviewed. Integration of particle swarm optimization (PSO), genetic algorithm (GA), and response surface methodology (RSM), either for comparison or optimization with ANFIS is presented. The summary of all studies is provided in tabular form. For the demonstration purpose, the ANFIS studies predicting different biodiesel and engine characters are provided with illustrative figures. The ANFIS prediction related to biodiesel used engine and biodiesel self-characteristics is found to be excellent. The ANFIS accuracy reported is better than the artificial neural network (ANN) accuracy. A minimum of 0.9 R 2 value is generally obtained which is around 5% greater than the ANN modeling results reported.However, the ANFIS predictions are much more fitter than the RSM predictions. The integration of ANFIS-PSO and ANFIS-GA provided much more optimized results.

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“…According to the European Tire Rubber Manufacturers Association (ETRMA), 289 million tires were sold annually and 1.5 billion tires worldwide. 1,3 India stands in the fourth position with an annual production of 175.4 million tires from 164 operational plants. Trucks and buses signicantly contribute to the Indian tire industry compared to other automobiles.…”

mentioning

confidence: 99%

Liquid fuel from waste tires: novel refining, advanced characterization and utilization in engines with ethyl levulinate as an additive

et al. 2021

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Exergetic and exergoeconomic analyses of a CI engine fueled with diesel-biodiesel blends containing various metal-oxide nanoparticles

Cited by 80 publications

References 33 publications

Fischer-Tropsch Diesel and Biofuels Exergy and Energy Analysis for Low Emissions Vehicles

Fischer-Tropsch Diesel and Biofuels Exergy and Energy Analysis for Low Emissions Vehicles

ANFIS modeling of biodiesels' physical and engine characteristics: A review

Liquid fuel from waste tires: novel refining, advanced characterization and utilization in engines with ethyl levulinate as an additive

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