Grey Wolf Optimizer for enhancing Nicotiana Tabacum L. oil methyl ester and prediction model for calorific values

Samuel, Olusegun David; Kaveh, Mohammad; Verma, Tikendra Nath; Okewale, Akindele; Oyedepo, Sunday Olayinka; Abam, Fidelis I.; Nwaokocha, Collins N.; Abbas, Mohamed; Enweremadu, Christopher C.; Khalife, Esmail; Szymane, Mariusz; Dziwulski, Jacek; Saleel, C. Ahamed

doi:10.1016/j.csite.2022.102095

Cited by 15 publications

(8 citation statements)

References 82 publications

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“…6 displays the fatty acid composition.The weight of WFOB is composed of 84.6% saturated and 15.4% unsaturated fatty acid compositions. Samuel et al [ 30 ] stated that saturated fatty acid in WFOB can both raise cetane number and increase NOx. To be regarded as commercially sustainable, the developed biodiesel must satisfy the certification requirements of the EN 14214 specification.…”

Section: Resultsmentioning

confidence: 99%

Adaptive neuro-fuzzy inference system for forecasting corrosion rates of automotive parts in biodiesel environment

Samuel,

Okwu,

et al. 2024

Heliyon

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Section: Resultsmentioning

confidence: 99%

Adaptive neuro-fuzzy inference system for forecasting corrosion rates of automotive parts in biodiesel environment

Samuel,

Okwu,

et al. 2024

Heliyon

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“…The tobacco being the main source for making cigarette in many countries, Olusegun David Samuel and et.al, have reported the application of oil extracted from tobacco seeds for biodiesel production. [10] The CIO (Calophyllum Inophyllum Oil) is a predominant non-edible oil source for biodiesel synthesis due to its high oil content around 75 %. [11,12] On an average CIO feedstock yields 5,000 l/ha of raw oil.…”

Section: Introductionmentioning

confidence: 99%

“…The authors used hemp and tobacco seed oils for the production of biodiesel through modified economical method. The tobacco being the main source for making cigarette in many countries, Olusegun David Samuel and et.al, have reported the application of oil extracted from tobacco seeds for biodiesel production [10] …”

Section: Introductionmentioning

confidence: 99%

Temperature Dependent Solubility and Catalytic behaviour of K₂CO₃ and Na₂CO₃ during Transesterification of Calophyllum Inophyllum Oil and its Fuel Properties

Rajagopalachar

2023

ChemistrySelect

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The current work is focused on the solubility and catalytic behaviour of K2CO3, and Na2CO3 during the synthesis of biodiesel from Calophyllum Inophyllum oil (CIO) in methanol. The solubility of K2CO3, and Na2CO3 in methanol is not straight forward, as both form their respective methoxides and bicarbonates on solubility in methanol. Therefore to understand catalytic behaviour of both carbonates, it is essential to estimate sodium and potassium methoxides, and bicarbonates formed at different temperatures. In this regard, the catalytic behaviour of both carbonates was studied between 50 °C to 65 °C. Therefore, solubility behaviour of both carbonates explored during the synthesis of biodiesel from CIO by transesterification process. At higher temperature, the concentration of potassium and sodium methoxides decreased and their bicarbonate concentration increased. This solubility behaviour found to be more useful to differentiate homogeneous and heterogeneous catalytic route for biodiesel synthesis. At higher temperature, 65 °C, K2CO3, and Na2CO3 exhibited heterogeneous catalytic behaviour, but Na2CO3 showed relatively higher heterogeneous catalytic behaviour as it form higher concentration of insoluble sodium bicarbonate. Therefore, Na2CO3 could be a better heterogeneous catalyst for biodiesel synthesis at higher temperatures, 65 °C, as it produces low concentration of sodium methoxide which is an advantage from post biodiesel treatment standpoint.

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“…Literature review showed that there are many good studies which have used nature-inspired algorithms, such as Grasshopper Optimization Algorithm (GOA), Whale Optimization Algorithm (WOA), Ant Lion Optimizer (ALO), and Gray Wolf Optimization (GWO) for optimization, modeling, and simulation analysis. 21,22,36 Nevertheless, almost of these studies were performed on industrial problems and there is little evidence for using these algorithms for modeling engine combustion. In fact, these algorithms have shown high potential for solving different research areas, which indicates they could be well employed to model and optimize complex analyses like engine combustion and exhaust emissions.…”

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confidence: 99%

“…To pull over this, there is a strong tendency between researchers to employ numerical modeling and prediction methods such as Artificial Neural Network (ANN), Genetic Algorithm (GA), response surface methodology (RSM), and nature-inspired algorithms which when are appropriately developed and trained with experimental data will effectively predict the actual values. [15][16][17][18][19][20][21][22] Therefore, a minimum experiment should be done for efficient and effective training of a mathematical model.…”

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confidence: 99%

Comparative of various bio‐inspired meta‐heuristic optimization algorithms in performance and emissions of diesel engine fuelled with B5 containing water and cerium oxide additive blends

Khalife

Kaveh²,

Younesi

et al. 2022

Intl J of Energy Research

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Summary In this study, a diesel engine combustion was modeled to estimate engine performance and emissions for the first time in the field of engine combustion. Four different algorithms including Grasshopper Optimization Algorithm, Ant Lion Optimizer, and Gray Wolf Optimization as well as Artificial Neural Network were employed to predict thermal efficiency, fuel consumption, CO, HC, and NOx emissions of a diesel engine fueled with diesel‐biodiesel blend emulsions containing water and cerium oxide nano additives. The models proposed were developed using two inputs (fuel type and engine load). The results showed that the Gray Wolf Optimization led to maximum coefficient correlation (0.9940 and 0.9966) and minimum Mean Square Error compared with the other employed algorithms for brake thermal efficiency and brake‐specific fuel consumption. The best results were obtained for Gray Wolf Optimization, Ant Lion Optimizer, and Grasshopper Optimization Algorithm, respectively. The same sequence was also found for estimating engine emissions. However, Gray Wolf Optimization showed slightly better result for estimation of engine emission than engine performance. In overall, the results of Gray Wolf Optimization were in perfect agreement with the experimental values compared to the other nature‐inspired algorithms as well as Artificial Neural Network in predicting fuel combustion. The model proposed can find application in fuel and engine manufacturers.

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Grey Wolf Optimizer for enhancing Nicotiana Tabacum L. oil methyl ester and prediction model for calorific values

Cited by 15 publications

References 82 publications

Adaptive neuro-fuzzy inference system for forecasting corrosion rates of automotive parts in biodiesel environment

Adaptive neuro-fuzzy inference system for forecasting corrosion rates of automotive parts in biodiesel environment

Temperature Dependent Solubility and Catalytic behaviour of K₂CO₃ and Na₂CO₃ during Transesterification of Calophyllum Inophyllum Oil and its Fuel Properties

Comparative of various bio‐inspired meta‐heuristic optimization algorithms in performance and emissions of diesel engine fuelled with B5 containing water and cerium oxide additive blends

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Grey Wolf Optimizer for enhancing Nicotiana Tabacum L. oil methyl ester and prediction model for calorific values

Cited by 15 publications

References 82 publications

Adaptive neuro-fuzzy inference system for forecasting corrosion rates of automotive parts in biodiesel environment

Adaptive neuro-fuzzy inference system for forecasting corrosion rates of automotive parts in biodiesel environment

Temperature Dependent Solubility and Catalytic behaviour of K2CO3 and Na2CO3 during Transesterification of Calophyllum Inophyllum Oil and its Fuel Properties

Comparative of various bio‐inspired meta‐heuristic optimization algorithms in performance and emissions of diesel engine fuelled with B5 containing water and cerium oxide additive blends

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Temperature Dependent Solubility and Catalytic behaviour of K₂CO₃ and Na₂CO₃ during Transesterification of Calophyllum Inophyllum Oil and its Fuel Properties