Optimization of mechanical oil extraction process from Camellia oleifera seeds regarding oil yield and energy consumption

2019 ◽  
Vol 42 (6) ◽  
Author(s):  
Shuai Huang ◽  
Youmin Hu ◽  
Fengcheng Li ◽  
Wenwen Jin ◽  
Vikas Godara ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Extraction Process ◽  
Oil Extraction ◽  
Oil Yield ◽  
Camellia Oleifera

Industrial trials on coadjuvants in olive oil extraction process: Effect on rheological properties, energy consumption, oil yield and olive oil characteristics

2017 ◽  
Vol 205 ◽  
pp. 34-46 ◽  
Author(s):  
Antonia Tamborrino ◽  
Giacomo Squeo ◽  
Alessandro Leone ◽  
Vito Michele Paradiso ◽  
Roberto Romaniello ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Olive Oil ◽  
Rheological Properties ◽  
Extraction Process ◽  
Oil Extraction ◽  
Oil Yield ◽  
Oil Characteristics

A Novel Hybrid Method Based on Three-Stage Extraction and DEA-CCR Models for Selecting the Optimal Conditions for Citronella Oil Extraction

2021 ◽  
Author(s):  
Thaithat Sudsuansee ◽  
Narong Wichapa ◽  
Amin Lawong ◽  
Nuanchai Khotsaeng
Keyword(s):  
Energy Consumption ◽  
Flow Rate ◽  
Energy Cost ◽  
Oil Extraction ◽  
Steam Flow ◽  
Oil Yield ◽  
Steam Flow Rate ◽  
Citronella Oil ◽  
Extraction Model ◽  
Ccr Model

In citronella oil extraction process by steam distillation, inefficient use of steam is the main cause of excessive energy consumption that affects energy cost and oil yield. This research is aimed to reduce the energy cost and increase the oil yield by studying the steam used in the process. The proposed method is the three-stage extraction model combined with the Data Envelopment Analysis developed by Charnes, Cooper and Rhodes (DEA-CCR model). Although the three-stage extraction model has been widely used, there is no research integrate this model with DEA-CCR model. It is well known that DEA-CCR model is an effective tool to evaluate efficiency of decision making units/alternatives. The advantages of this research were presented as the calculation of the optimum distillation conditions, including the steam flow rate and the distillation time, were achieved as discussed in this article. The study was comprised of 3 parts. Firstly, the three-stage extraction model for citronella oil was formulated. Secondly, the results of the proposed model were calculated under different conditions, classified by steam flow rates from 5,000 to 60,000 cm3/min for the distillation period of 15–180 min. Finally, the DEA-CCR model was utilized to evaluate and rank alternatives. The results expressed that the best condition for producing citronella oil was at the steam flow rate of 40,000 cm3/min and the distillation time of 60 min. The optimal energy cost and percentage of oil yield were equal to 0.440 kWh/mL and 0.7%, respectively. When comparing to the experimental results, the percentage error of optimal energy cost and oil yield were slightly different, with a value of 0.98% and 0.85%, respectively. Moreover, the energy consumption was also reduced by 34.6% compared to the traditional operating conditions.

scholarly journals Optimization and Kinetic Study of Soybean Oil Extraction Rate with Ternary Solvents Mixture

2021 ◽  
Vol 6 (1) ◽  
Author(s):  
A.I Usenu
Keyword(s):  
Optimal Design ◽  
Ethyl Acetate ◽  
Process Design ◽  
Extraction Process ◽  
Solvent Mixture ◽  
Oil Extraction ◽  
Oil Yield ◽  
Quadratic Model ◽  
Design Expert ◽  
First Order

The rate of Soybean (Glycine max) oil (SBO) extraction with a ternary solvent mixture (water, ethanol, and ethyl acetate) optimised with I-optimal Design (IOD) under the Mixture Methodology of the Design Expert (12.0.1.0). The data obtained were analysed statistically. The effect of extraction time (60-180 mins) and temperature (65-70 °C) on SBO was investigated and data obtained were used to evaluate the suitable kinetic and thermodynamic properties of the extraction. The maximum Rate of Oil Yield (32.35 mg/min) was achieved at the solvent mixture of 9.17% water, 6.67% ethanol, and 84.17% ethyl acetate. The Quadratic model best describes the Rate of Oil Yield, with a correlation coefficient (R2) of 0.9922 and an Adjusted R2 of 0.9825. The rate equation for the extraction process is a first-order reaction with ‘n’ value of 1.12756 (≅1.000) while the activation energy (Ea) and Arrhenius constant were 6508.1 kJ/mol and 38.901 s-1, respectively. The study has demonstrated the suitability of I-Optimal Design for the investigation of the Rate of Oil Yield from soybean and the result could be employed in oil extraction process design.

scholarly journals Kinetics of Oil Extraction from Candlenut (Aleurites moluccana)

2019 ◽  
Vol 12 ◽  
pp. 1-8
Author(s):  
Faiznur Mohd Fuad ◽  
Wan Abdul Azim Wan Azzuddin
Keyword(s):  
Solvent Extraction ◽  
Extraction Process ◽  
Oil Extraction ◽  
Extraction Time ◽  
Oil Yield ◽  
Model Parameters ◽  
Extraction Temperature ◽  
Logarithmic Model ◽  
Aleurites Moluccana ◽  
Kinetics Of

Oil from candlenut (Aleurites moluccana) was extracted using a solvent extraction technique. The influence of three parameters namely extraction time, extraction temperature as well as liquid to solid (L/S) ratio on the candlenut oil yield were studied to optimise the extraction conditions for achieving maximum oil yield. The maximum candlenut oil yield (35.67%) was achieved using methanol as a solvent at a temperature of 45oC for 80 min of extraction period. The optimum L/S ratio was 10ml/g. It was found that the candlenut oil yield increases with the increase of extraction time, extraction temperature and L/S ratio. Kinetics of solvent extraction of oil from candlenut was evaluated using Peleg’s model and Logarithmic model. The model parameters were calculated using the experimental data.  The kinetics of candlenut oil extraction conforms very well to the Peleg’s model with a high R2 value of 0.9927 and low MRPD value of 1.827%. However, the Logarithmic model can fairly describe the candlenut oil extraction process with the values of R2 and MRPD of 0.9653 and 4.352%, respectively.

scholarly journals Kinetics and Thermodynamics of Oil Extraction fromJatropha curcasL. Using Ethanol as a Solvent

2015 ◽  
Vol 2015 ◽  
pp. 1-9 ◽  
Author(s):  
Silmara Bispo dos Santos ◽  
Marcio Arêdes Martins ◽  
Ana Lívia Caneschi ◽  
Paulo Rafael Morette Aguilar ◽  
Jane Sélia dos Reis Coimbra
Keyword(s):  
Thermodynamic Parameters ◽  
Extraction Process ◽  
Oil Extraction ◽  
Solid Particles ◽  
Oil Yield ◽  
Transfer Model ◽  
Average Particle ◽  
Particle Sizes ◽  
Kinetic And Thermodynamic Parameters ◽  
Moisture Contents

In the study the yield and kinetic and thermodynamic parameters of the oil extraction process fromJatropha curcasL. using ethanol as a solvent were evaluated for different temperatures, moisture contents of the solid phase, and particle sizes. The extraction process yield increased with contact time of solid particles with the solvent until reaching equilibrium (saturation of the solvent), for all the temperatures, moisture contents, and average particle sizes. These parameters significantly influenced (95% confidence) the extracted oil yield. A convective mass transfer model was used to simulate the extraction process and estimate the kinetic and thermodynamic parameters. For all conditions evaluated, values of oil yield in the liquid phase close to equilibrium were obtained in approximately 20 min. The variations of enthalpy and entropy were positive, indicating that the process is endothermic and irreversible. Values obtained for the variation in Gibbs free energy showed that the extraction process using ethanol as a solvent is spontaneous and thermodynamically favorable for the moisture content of 0%, where the smaller the average particle size the greater the spontaneity of the process.

scholarly journals Green Solvent Improving Mechanical Disruption of Palm Kernel Oil Extraction

2020 ◽  
Author(s):  
Eko K. Sitepu ◽  
Andy Chandra ◽  
Emma F. Zaidar ◽  
Annur Vika ◽  
Firman Sebayang ◽  
...  
Keyword(s):  
Ethyl Acetate ◽  
Palm Kernel ◽  
Extraction Process ◽  
Extraction Methods ◽  
Oil Extraction ◽  
Extraction Time ◽  
Oil Yield ◽  
Green Solvents ◽  
Palm Kernel Oil ◽  
Kernel Oil

Abstract Even though the mechanical extraction process offers a simple and environmentally friendly process, the recovery of oil is relatively low. Thermal pre-treating the oilseed increases the oil yield but produces unwanted oil colour. A new method which combines grinding and extraction using green solvents was developed to extract palm kernel oil. The performance of six different green solvents such as water, ethanol, isopropyl alcohol, dimethyl carbonate, ethyl acetate, and d-limonene in extraction palm kernel oil was determined using a controllable blender extractor (CBE), new extraction equipment modified from a household blender appliance. Further, ethyl acetate, which produced the maximum oil yield, was used to study the effect of the operating parameters of the CBE. The oil yield of 34.2 ± 0.02% was obtained in the extraction condition of the ratio of palm kernel to ethyl acetate of 1:7, rotational speed of 5000 rpm and 10 minutes extraction time. Compared to other green extraction methods, the CBE-intensified palm kernel oil extraction could save >70% energy consumption. In terms of extraction time, the CBE-intensified could extract palm kernel oil faster than existing extraction methods.

scholarly journals Optimization of Mechanical Oil Expression from Sandbox (Hura crepitans Linn.) Seeds

2021 ◽  
Vol 2 (2) ◽  
pp. 434-449
Author(s):  
David ONWE ◽  
Adeleke Isaac BAMGBOYE
Keyword(s):  
Moisture Content ◽  
Extraction Process ◽  
Oil Extraction ◽  
Oil Yield ◽  
Process Conditions ◽  
Statistical Tool ◽  
Study Results ◽  
Roasting Temperature ◽  
Expression Time ◽  
Roasting Time

Optimization of process variables has become very vital in oil extraction processes to obtain maximum oil yield from oilseeds and nuts. This work focussed on the optimization of process oil extraction process from sandbox seed by mechanical expression. Effects of moisture content, roasting temperature, roasting time, expression pressure and expression time on oil yield from sandbox seed was studied using a 5×5 Central Composite Rotatable Design of Response Surface Methodology experimental design. Results obtained were subjected to Analysis of Variance (ANOVA) and SPSS statistical tool at (p = 0.05). Optimum conditions predicted were validated by experiments. All the processing factors were significant at (p = 0.05) for the sandbox oil yield except roasting temperature. The experimental results and predicted values showed low deviation (0.01-0.62). Oil yields obtained from the sandbox seed at varying process conditions varied from 16.38-38.68%. The maximum oil yield of 38.68% was obtained when the sandbox seed was subjected to process conditions of 6% moisture content, 85°C roasting temperature, 15 min roasting time, expression pressure of 20 MPa and 8 min pressing time. Mathematical equations to predict sandbox seed oil yield at varying process conditions were developed with an R2 (0.8908). The optimum extractable oil yield of 38.95% was predicted for sandbox seed at processing conditions of 7.03% moisture content, 97.72°C roasting temperature, 11.32 min roasting time, 15.11 MPa expression pressure and 8.57 min expression time. The study results provide data for designs of process and equipment for oil extraction from sandbox and other oilseeds.

Optimization of a coconut oil extraction process with supercritical CO2 considering economical and thermal variables

2021 ◽  
pp. 105160
Author(s):  
E. Torres-Ramón ◽  
C.M. García-Rodríguez ◽  
K.H. Estévez-Sánchez ◽  
I.I. Ruiz-López ◽  
G.C. Rodríguez-Jimenes ◽  
...  
Keyword(s):  
Supercritical Co2 ◽  
Coconut Oil ◽  
Extraction Process ◽  
Oil Extraction
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