Effect of Operating Parameters on Ethanol–Water Vacuum Separation in an Ethanol Dehydration Apparatus and Process Modeling with ANN
-
S. Karimi
,
G. Najafi
Abstract
Bioethanol has been found to be a suitable substitute for gasoline in internal combustion engines. It could be used either in an undiluted form or blended with gasoline. To blend the ethanol and gasoline, the water content of ethanol should reach 0.5% or less. In the present research work, 3A Zeolite was used as an absorbent with vacuum distillation. The effects of the operating parameters such as temperature, vacuum pressure and vapor flow rate on ethanol–water separation were investigated. Final ethanol concentration was obtained at the end of every run as well as the concentration of outlet ethanol. Both linear regression and ANN design were used to determine the best fit for two final parameters. The optimum condition was obtained at 0.4 bar vacuum pressure and 20 l/min ethanol–water vapor flow rate. ANN model is more qualified to the simulation of outspread data while the linear regression is not. L10L10 mode and L5T10 mode provide the best results for final concentration and total time, respectively. The Trainlm Algorithm like the previous research training algorithm is the best.
Acknowledgment
The researchers would like to express their gratitude to the Purification and Distribution of Oil Product Co. for their financial supports to carry out the present investigation.
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©2014 by De Gruyter
Artikel in diesem Heft
- Frontmatter
- Research Articles
- Prediction of Fischer–Tropsch Synthesis Kinetic Parameters Using Neural Networks
- Temperature Peak Analysis and Its Effect on Absorption Column for CO2 Capture Process at Different Operating Conditions
- Valorization of Glycerol into Polyhydroxyalkanoates by Sludge Isolated Bacillus sp. RER002: Experimental and Modeling Studies
- Parameter Estimation of Kinetic Model Equations for Chemical Leaching of Coal
- Few-Step Kinetic Model of Gaseous Autocatalytic Ethane Pyrolysis and Its Evaluation by Means of Uncertainty and Sensitivity Analysis
- A Mathematical Modeling and Experimental Study on Adsorptive Desulfurization of Model Gasoline Using Synthesized Ni–Y and Ce–Y Zeolites
- Inter-Communicative Decentralized Multi-Scale Control (ICD-MSC) Scheme: A New Approach to Overcome MIMO Process Interactions
- Technical Note
- Effect of Operating Parameters on Ethanol–Water Vacuum Separation in an Ethanol Dehydration Apparatus and Process Modeling with ANN
Artikel in diesem Heft
- Frontmatter
- Research Articles
- Prediction of Fischer–Tropsch Synthesis Kinetic Parameters Using Neural Networks
- Temperature Peak Analysis and Its Effect on Absorption Column for CO2 Capture Process at Different Operating Conditions
- Valorization of Glycerol into Polyhydroxyalkanoates by Sludge Isolated Bacillus sp. RER002: Experimental and Modeling Studies
- Parameter Estimation of Kinetic Model Equations for Chemical Leaching of Coal
- Few-Step Kinetic Model of Gaseous Autocatalytic Ethane Pyrolysis and Its Evaluation by Means of Uncertainty and Sensitivity Analysis
- A Mathematical Modeling and Experimental Study on Adsorptive Desulfurization of Model Gasoline Using Synthesized Ni–Y and Ce–Y Zeolites
- Inter-Communicative Decentralized Multi-Scale Control (ICD-MSC) Scheme: A New Approach to Overcome MIMO Process Interactions
- Technical Note
- Effect of Operating Parameters on Ethanol–Water Vacuum Separation in an Ethanol Dehydration Apparatus and Process Modeling with ANN
