Dataset on optimized biodiesel production from seeds of Vitis vinifera using ANN, RSM and ANFIS

Hariram, V.; Bose, A.; Seralathan, S.

doi:10.1016/j.dib.2019.104298

Cited by 48 publications

(20 citation statements)

References 8 publications

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“…Finally, grape seed oil appears to be a promising competitor for fossil sources of fuel due to the presence of unsaturated fatty acids in its constituents. Biodiesel production, including refining after extraction, is an economic and environmentally friendly alternative in regions with high volumes of wine production [ 162 , 167 , 168 ].…”

Section: Grape Seed Oil: a Novel Functional Foodmentioning

confidence: 99%

Grape (Vitis vinifera L.) Seed Oil: A Functional Food from the Winemaking Industry

Martín

Grao‐Cruces

Millán-Linares

et al. 2020

Foods

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Wine production is an ancient human activity that generates several by-products, which include some constituents known for their potential in health care and for their role in the food or cosmetic industries. Any variety of grape (Vitis vinifera L.) contains nutrients and bioactive compounds available from their juice or solid parts. Grape seed extract has demonstrated many activities in disease prevention, such as antioxidant effects, which make it a potential source of nutraceuticals. Grape seed is a remarkable winery industry by-product due to the bioactivity of its constituents. Methods for recovery of oil from grape seeds have evolved to improve both the quantity and quality of the yield. Both the lipophilic and hydrophilic chemicals present in the oil of V. vinifera L. make this wine by-product a source of natural nutraceuticals. Food and non-food industries are becoming novel targets of oil obtained from grape seeds given its various properties. This review focuses on the advantages of grape seed oil intake in our diet regarding its chemical composition in industries not related to wine production and the economic and environmental impact of oil production.

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Section: Grape Seed Oil: a Novel Functional Foodmentioning

confidence: 99%

Grape (Vitis vinifera L.) Seed Oil: A Functional Food from the Winemaking Industry

Martín

Grao‐Cruces

Millán-Linares

et al. 2020

Foods

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“…[31] Most of these techniques have certain limitations like complex fitness function, poor search space exploration, premature convergence, and large computing power requirements. [32,33] Also, the precision is dependent on user-dependent parameters. African Buffalo Optimization technique devised by Odili and Kahar in 2015 provides an effective algorithm without all these limitations, still maintaining a real good accuracy level.…”

Section: Figure-11 Ftir Of Wco Biodiesel E Biodiesel Production Yielmentioning

confidence: 99%

Hybrid Response Surface Method African Buffalo Optimization Technique for Ultrasonic Production of Biodiesel from Waste Cooking Oil using Li doped CaO Nan o catalyst

Kumar*,

Gupta

2020

IJITEE

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In the current era, there is an increasing emphasis on green fuels for a clean environment. Authors in this work have tried to devise an innovative method to optimize ultrasonic production of biodiesel from used cooking oil, using composite technique combining Response surface Methodology and African Buffalo optimization. In this research work, heterogeneous catalyst Lithium doped CaO has been obtained from a new natural source by high-temperature thermal decomposition of Musa Balbisiana root ash and tested its Conversion efficiency for conversion of waste cooking oil into methyl esters. It was observed that the catalyst is really effective for the production of biodiesel from even high Free Fatty Acid waste cooking oil. For optimization of production parameters authors have used ABO complemented with RSM to maximize the biodiesel production yield. The maximum biodiesel yield of 96.67% was achieved using ABO which is about 15% higher than provided by RSM which is 81.01%. The highest biodiesel yield of 96.67 % is obtained at 15:1 Molar Ratio with 3.5% catalyst wt. percent, 60 Degree C Temp. in 45 Minutes with an error of 2.5 % in yield prediction by ABO. The work may be utilized by industries and researchers to use ultrasonic reactors optimally to extract better biodiesel volume in very short time instead of presently used slow mechanical stirring tank reactors.

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“…Therefore, this study used the mathematical correlation between process parameters developed using the Box-Behnken design of experiments to obtain optimal methyl ester. Nevertheless, the ANN model integrated with ACO was developed for the optimization of biodiesel production with consideration to limitations of the parameter range [27,29,36].…”

Section: Parameter Optimization Biodiesel Productionmentioning

confidence: 99%

“…Conversion of C. manghas biodiesel was challenging work that required extensive design and modeling analyzes. Similar optimization of biodiesel production was done successfully with a variety of renewable feedstock by using the ANN model [27][28][29]. Therefore, one of the goals in this study was to apply the metaheuristic optimization algorithm (i.e., ant colony optimization) in biodiesel production to maximize the conversion rate or the biodiesel yield (more than 95%).…”

Section: Introductionmentioning

confidence: 99%

Optimization of Cerbera manghas Biodiesel Production Using Artificial Neural Networks Integrated with Ant Colony Optimization

et al. 2019

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Optimizing the process parameters of biodiesel production is the key to maximizing biodiesel yields. In this study, artificial neural network models integrated with ant colony optimization were developed to optimize the parameters of the two-step Cerbera manghas biodiesel production process: (1) esterification and (2) transesterification. The parameters of esterification and transesterification processes were optimized to minimize the acid value and maximize the C. manghas biodiesel yield, respectively. There was excellent agreement between the average experimental values and those predicted by the artificial neural network models, indicating their reliability. These models will be useful to predict the optimum process parameters, reducing the trial and error of conventional experimentation. The kinetic study was conducted to understand the mechanism of the transesterification process and, lastly, the model could measure the physicochemical properties of the C. manghas biodiesel.

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Dataset on optimized biodiesel production from seeds of Vitis vinifera using ANN, RSM and ANFIS

Cited by 48 publications

References 8 publications

Grape (Vitis vinifera L.) Seed Oil: A Functional Food from the Winemaking Industry

Grape (Vitis vinifera L.) Seed Oil: A Functional Food from the Winemaking Industry

Hybrid Response Surface Method African Buffalo Optimization Technique for Ultrasonic Production of Biodiesel from Waste Cooking Oil using Li doped CaO Nan o catalyst

Optimization of Cerbera manghas Biodiesel Production Using Artificial Neural Networks Integrated with Ant Colony Optimization

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