Proportional impact prediction model of animal waste fat-derived biodiesel by ANN and RSM technique for diesel engine

Şimşek, Süleyman; Uslu, Samet; Şimşek, Hatice

doi:10.1016/j.energy.2021.122389

Cited by 62 publications

(9 citation statements)

References 44 publications

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“…ANN and RSM modelling techniques were utilised to nd the best blending proportion in a CI engine using an animal waste fat biofuel. The best blending was found to be 22%, and the results of the study were in good agreement with the prediction model with minimal error (Simsek et al 2021). A comparison of engine analysis using RSM and ANN with 17.88 percent blended fuel, 35 advanced CA, and 780 watt engine load to test palm oil biofuel.…”

Section: Introductionsupporting

confidence: 52%

Optimization of engine parameters using NSGA II for the comprehensive reduction of emissions from VCR engine fuelled with ROME biodiesel

Murugapoopathi

Ramachandran

Dharmalingam³

et al. 2022

Environ Sci Pollut Res

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Diesel engines are most widely used as power plant for many applications, like automotive, agricultural purposes, portable machines and remote location power generation, because of their higher torque, power output, energy content per unit mass and cost of fuel. Because of the higher compression ratios, the diesel engines are able to produce greater cylinder pressures resulting in higher temperatures and thermal e ciency. On other hand, the diesel engines produce CO x , NO x , Soot and sulphur emissions which are harmful and pollute the environment leads to acid rain, global warming and variety of human diseases. Also, the Present emission regulations are framed such a way to ensure the environmental sustainability in addition to the economic and social importance. These constraints make the researchers to nd an alternate fuel for replacing the diesel fuel on the existing diesel engines for the reduction of environmental pollutions. Biodiesel is found to be a very good alternative fuel obtained from natural resources and having good energy with least possible emissions. Rubber seed methyl ester (ROME) is one kind of the biofuel can be used in the existing diesel without any engine modi cations. The ROME is produced using trans esteri cation process and the biodiesel blends are prepared in the sequence of B20, B40, B60 and B80. The ROME is tested on the Variable Compression Ratio (VCR) engine to test the emission characteristic in line with the performance characteristics. To reduce the emissions, the prediction models are developed for CO and NO x using the Response Surface Methodology (RSM). The models are veri ed through the ANOVA and p-test for their adequacy to create the hypothesis of the experimentation. The NSGA II evolutionary multi-objective optimization is used to optimize the engine parameters to minimise the pollutions from the ROME fuelled engine. Finally, the optimized parameters are veri ed though the experimentation to verify the least possible emissions from the engine.

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Section: Introductionsupporting

confidence: 52%

Optimization of engine parameters using NSGA II for the comprehensive reduction of emissions from VCR engine fuelled with ROME biodiesel

Murugapoopathi

Ramachandran

Dharmalingam³

et al. 2022

Environ Sci Pollut Res

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show abstract

“…From the observation, the experimental values and model values agree with each other where the difference is just less than ±10% only. This acceptance level is also shared by other researchers [22,23]. This is true for all the performance indicators selected (brake torque, brake power, BSFC, and BTE).…”

Section: Comparison Between Performance Experimental Value and Model ...mentioning

confidence: 52%

“…The model for all performance parameters (torque, power, BSFC, and BTE) show a good agreement compared to the result from the actual experiment (less than ±10%). Other researchers also share this acceptance level [22,23].…”

Section: Discussionmentioning

confidence: 82%

Response surface methodology to predict the effects of graphene nanoplatelets addition to diesel engine performance

Daud

Hamidi

Mamat

2022

IOP Conf. Ser.: Earth Environ. Sci.

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Engine emissions have become one of the major problems of the world today. Therefore, researchers need to find ways to reduce engine emissions. There are many available methods to reduce emissions or improve engine performance such as using an alternative engine or using alternative fuels. The simplest method is by introducing additives to the currently used fuel and engines. Nanoparticles of zinc oxide, titanium oxide, aluminium oxide, and cerium oxide are among the popular additives used by researchers. The results from the research have been very positive, as it successfully reduced engine emissions. However, there are concerns about the toxicity of the emissions that exposed hazards to human health. A few researchers introduced carbon-based nanomaterials as an additive to improve engine performance and reduce engine emissions. The use of carbon-based nanomaterials is very promising since it poses little to no effect on human health. Graphene is a carbon-based nanomaterial used as an additive in this study. This study aimed to forecast the effects of graphene nanoplatelets’ addition to engine performance. The study used torque, power, brake-specific fuel consumption, and brake thermal efficiency as performance parameters. The prediction models consider speed, load, and blend concentration in the calculation. A full-quadratic model with help of Minitab software is used to develop the prediction model. The model is then presented in surface plot and contour plot. The results show that the prediction model agrees with the experimental data with ±10% accuracy. In conclusion, the RSM model of graphene nanoplatelets’ effects on diesel engine performance is producible using full quadratic calculation.

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“…The ANN predictions are reliable owing to their effectiveness in capturing the nonlinear relationships, which are prevalent in engine test results. Recent work has shown that such models, which analyse quantitative engine process relationships, can predict the performance and emissions of alternative fuels with relatively small errors [35,36,56]. The developed model assists in relating the fuel composition characteristics such as carbon, hydrogen and oxygen content with engine efficiency, and regulated emissions.…”

Section: Engine Modelmentioning

confidence: 99%

A techno-economic assessment of waste oil biodiesel blends for automotive applications in urban areas: Case of India

Jeyaseelan

Samad

Rajkumar³

et al. 2023

Energy

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Proportional impact prediction model of animal waste fat-derived biodiesel by ANN and RSM technique for diesel engine

Cited by 62 publications

References 44 publications

Optimization of engine parameters using NSGA II for the comprehensive reduction of emissions from VCR engine fuelled with ROME biodiesel

Optimization of engine parameters using NSGA II for the comprehensive reduction of emissions from VCR engine fuelled with ROME biodiesel

Response surface methodology to predict the effects of graphene nanoplatelets addition to diesel engine performance

A techno-economic assessment of waste oil biodiesel blends for automotive applications in urban areas: Case of India

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