Emissions Prediction of Cashew Nut Shell Liquid Biodiesel Using Machine Learning

Kumar, D. Anantha; Chhibber, Vijay K.; Singh, Ajay

doi:10.1007/s40009-022-01142-6

Cited by 6 publications

(2 citation statements)

References 8 publications

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“…Kumar, et al [55] investigated the influence of diverse blends of cashew nutshell fluid biodiesel with diesel at various ratios on the environmental emission parameters of diesel engines. The study underscored the superior predictive capability of the artificial neural network (ANN) model as compared with other models for forecasting emission parameters.…”

Section: Model Performancesmentioning

confidence: 99%

Comparison of Engine Performance and Emission Values of Biodiesel Obtained from Waste Pumpkin Seeds with Machine Learning

Şahin,

Torun

2024

Agriculture

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This study was primarily conducted to investigate the potential use of pumpkin seed oil in biodiesel production. Initially, the fatty acid composition of oils extracted from discarded pumpkin seeds was determined. Then, biodiesel produced from discarded pumpkin seed oil was tested in an engine test setup. The performance and emission values of a four-cylinder diesel engine fueled with diesel (D100), biodiesel (PB100), and blended fuels (PB2D98, PB5D95, and PB20D80) were determined. Furthermore, three distinctive machine learning algorithms (artificial neural networks, XGBoost, and random forest) were employed to model engine performance and emission parameters. Models were generated based on the data from the PB100, PB2D98, and PB5D95 fuels, and model performance was assessed through the R2, RMSE, and MAPE metrics. The highest torque value (333.15 Nm) was obtained from 1200 rpm of D100 fuel. PB2D98 (2% biodiesel–98% diesel) had the lowest specific fuel consumption (194.33 g HPh−1) at 1600 rpm. The highest BTE (break thermal efficiency) value (30.92%) was obtained from diesel fuel at 1400 rpm. Regarding the blended fuels, PB2D98 exhibited the most fuel-efficient performance. Overall, in terms of engine performance and emission values, PB2M98 showed the closest results to diesel fuel. A comparison of machine learning algorithms revealed that artificial neural networks (ANNs) generally performed the best. However, the XGBoost algorithm proved to be more successful than other algorithms at predicting the performance and emissions of PB20D80 fuel. The present findings demonstrated that the XGBoost algorithm could be a more reliable option for predicting engine performance and emissions, especially for data-deficient fuels such as PB20D80.

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Section: Model Performancesmentioning

confidence: 99%

Comparison of Engine Performance and Emission Values of Biodiesel Obtained from Waste Pumpkin Seeds with Machine Learning

Şahin,

Torun

2024

Agriculture

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“…It is anticipated that the onslaught of hot steam will immerse the shells in a hot environment for an extended period of time, thereby making it possible to retrieve part of the oil. After that, the hot shells are sent through a mechanical expeller where they are crushed to extract the maximum amount of CNSO feasible (Kumar et al, 2022). This method was selected rather than more contemporary procedures such as roasting and the hot bath process because it enables the extraction of a mass amount of oil in a single trial, hence reducing the overall cost of production (Karthick et al, 2022; Krishnan, 2020).…”

Section: Overview Of Cashew and Cnsomentioning

confidence: 99%

Cashew nut shell oil as a potential feedstock for biodiesel production: An overview

Kandaswamy,

Swarupa,

Sur

et al. 2023

Biotech & Bioengineering

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Biodiesel outperforms diesel in emissions and engine performance. They burn efficiently in diesel engines and are eco‐friendly. Since cashew nut shell liquid (CNSO) is waste, commercial biodiesel production from it should be profitable. CNSO is cheap and can reduce cashew processing factory waste. From cashew kernels, CNSL is extracted using various mechanical, thermal, and solvent extraction techniques. This article examines current research into using cashew nutshell liquid biodiesel (CNSLBD) in diesel engines. The work also discusses Indian biodiesel demand, availability, export information, life cycle cost analysis, cost economics of per hectare yield, Indian government initiative of CNSO. This review also evaluates the viability of this fuel as an alternative energy source. CNSLBD is a prospective alternative fuel that has the potential to benefit both the cashew nut industry and the energy industry. In addition to this, the study examines the procedures for extracting CNSO. According to the findings of the study, CNSO is a prospective alternative fuel that has the potential to benefit both the cashew nut industry and the energy industry.

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Methodology and Instrumentation for Biofuel with Study on Cashew Nut Shell Liquid

Kumar,

Chhibber,

Singh

et al. 2024

Clean and Renewable Energy Production

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Emissions Prediction of Cashew Nut Shell Liquid Biodiesel Using Machine Learning

Cited by 6 publications

References 8 publications

Comparison of Engine Performance and Emission Values of Biodiesel Obtained from Waste Pumpkin Seeds with Machine Learning

Comparison of Engine Performance and Emission Values of Biodiesel Obtained from Waste Pumpkin Seeds with Machine Learning

Cashew nut shell oil as a potential feedstock for biodiesel production: An overview

Methodology and Instrumentation for Biofuel with Study on Cashew Nut Shell Liquid

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