scholarly journals A case study on separation of IPA-water mixture by extractive distillation using aspen plus

2016 ◽  
Vol 3 (24) ◽  
pp. 187-193 ◽  
Author(s):  
Sarita Kalla ◽  
Sushant Upadhyaya ◽  
Kailash Singh ◽  
Rajeev Kumar Dohare ◽  
Madhu Agarwal
Keyword(s):  
Aspen Plus ◽  
Extractive Distillation ◽  
Water Mixture

scholarly journals Evaluation of Techno-economic feasibility Biomass-to-energy by Using ASPEN Plus®: A Case Study of Thailand

2013 ◽  
Vol 42 ◽  
pp. 640-649 ◽  
Author(s):  
Piyapong Hunpinyo ◽  
Phavanee Narataruksa ◽  
Sabaithip Tungkamani ◽  
Karn Pana-Suppamassadu ◽  
Nuwong Chollacoop
Keyword(s):  
Aspen Plus ◽  
Economic Feasibility

scholarly journals Comparative Study of Fluid Package on Extractive Distillation of Ethanol-water Mixture Using Pure Glycerol and Ethylene Glycol as Extracting Solvents

2018 ◽  
pp. 1-12
Author(s):  
O. J. Odejobi ◽  
O. R. Oladokun ◽  
F. J. Ajeigbe
Keyword(s):  
Ethylene Glycol ◽  
Comparative Study ◽  
Feed Rate ◽  
Extractive Distillation ◽  
Base Case ◽  
Water Mixture ◽  
Pure Glycerol ◽  
The Comparative Study ◽  
Separating Agents ◽  
Alternative Designs

The comparative study of Peng Robinson Strygek Vera (PRSV) and Non-Random Two Liquid (NRTL) fluid packages on the extractive distillation of ethanol-water mixture was done using pure glycerol and ethylene glycol as extracting agents. The process was simulated using HYSYS V. 8.4. Pure glycerol and ethylene glycol-glycerol mixture were used as separating agents. The results showed the highest molar composition of ethanol in the distillate at the solvent feed rate of 80 kmol/hr when pure glycerol was used with NRTL fluid package. With the PRSV fluid package the highest ethanol in the distillate was obtained at pure glycerol feed rate of 50 kmol/hr. The ethanol fraction in the distillate was decreasing with increasing ethylene glycol and decreasing glycerol in the ethylene glycol-glycerol mixture. The comparative study of the base case and alternative designs showed high ethanol composition in distillate in the range of 99.46 - 99.96% and 99.96 - 99.67% for NRTL and PRSV fluid package, respectively. It was concluded from the study that the PRSV fluid package could save cost of operation because of lower solvent requirement and energy consumption in the reboiler for both the base case and alternative designs.

scholarly journals Simulasi CHEMCAD: Studi Kasus Distilasi Ekstraktif pada Campuran Terner n-Propil Asetat/n-Propanol/Air

2018 ◽  
Vol 2 (2) ◽  
pp. 75 ◽  
Author(s):  
Agung Ari Wibowo ◽  
Cucuk Evi Lusiani ◽  
Rizqy Romadhona Ginting ◽  
Dhoni Hartanto
Keyword(s):  
Extractive Distillation ◽  
Water Mixture ◽  
Distillation Process ◽  
Propyl Acetate ◽  
Extractive Agent ◽  
Simple Distillation ◽  
Simulation Process ◽  
Ternary Azeotrope ◽  
Vaporization Process ◽  
Separating Agent

Pemisahan n-propil asetat dari campuran terner n-propil asetat/n-propanol/air merupakan salah satu proses yang tidak dapat dilakukan dengan distilasi sederhana. Adanya azeotrop terner minimum dari campuran tersebut menyebabkan n-propil asetat hanya dapat dipisahkan dari campuran n-propanol dan air salah satunya dengan metode distilasi ekstraktif. Distilasi ekstraktif merupakan proses vaporisasi parsial dengan menambahkan suatu agen pemisah non-volatil yang disebut sebagai sovent atau agen ekstraktif. Solvent yang digunakan dalam simulasi proses ini adalah campuran DMSO (Dimetil Sulfoksida) dan Gliserol dengan komposisi 50 % massa dengan perbandingan 1:2 untuk massa umpan kolom : solvent. Feed yang digunakan adalah n-propanol (10 kmol/jam) dan asam asetat (13 kmol/jam) masing-masing pada suhu 25°C dan tekanan 101,3 kPa. Hasil n-propil asetat terbaik diperoleh saat solvent diumpankan pada stage 5 dengan fraksi mol n-propil asetat pada distilat 0,9975 disertai dengan minimumnya energi reboiler yang digunakan pada konfigurasi kolom ini.n-Propyl acetate separation of the n-propyl acetate /n-propanol/water mixture composition can't be done by simple distillation. The existence of minimum ternary azeotrope on the mixture causes n-propyl acetate can be separated only by extractive distillation method. Extractive distillation is a partial vaporization process in the presence of a non-volatile separating agent called as solvent or extractive agent. Solvent used in the simulation process is DMSO (Dimethyl Sulfoxide)-Glycerol mixture (50% mass) with a ratio of 1: 2 for column feed : solvent. n-Propanol (10 kmol/hour) and acetic acid (13 kmol/hour) are fed into reactor (before extractive distillation process) at 25°C and 101.3 kPa, respectively. The best results of n-propyl acetate were obtained when the solvent was fed to stage 5 in which mole fraction of n-propyl acetate in distillate 0.9975 accompanied by the minimum reboiler energy used in this column configuration.

scholarly journals OPTIMIZATION OF DRUG SOLUBILITY USING ASPEN PLUS: ACETYLSALICYLIC ACID (ASPIRIN) SOLUBILITY – A SECOND CASE STUDY

2020 ◽  
pp. 178-184
Author(s):  
KAMAL I AL-MALAH
Keyword(s):  
Free Energy ◽  
Gibbs Free Energy ◽  
Stable Solution ◽  
Aspen Plus ◽  
Liquid Solution ◽  
Flow Sheet ◽  
Molar Gibbs Free Energy ◽  
Energy Of Mixing ◽  
Free Energy Of Mixing

Objective: The objective of the study is to optimize the solubility of a drug or a drug-like molecule using Aspen Plus simulation platform. Aspirin (solute) was taken as the second case study. The following solvents were used in our dry (virtual) laboratory experiment: Water, acetone, ethanol, and ethylene-glycol-mono-propyl-ether (PROPGLYC). Methods: A simplified process flow sheet made of a single mixing tank where it has five feed streams, representing the solute, the water, and the set of three organic solvents, and one product stream where aspirin is either solubilized (liquid solution) or remains as solid crystal. Minimization of the molar Gibbs free energy of mixing, ΔGmix, was used as an objective function from an optimization point of view. The Non-random Two-liquid property method was used to analyze the solution properties. Results: Using the molar Gibbs free energy of mixing, ΔGmix, as a criterion of solution thermodynamic stability, it was found that the most stable solution is the quinary mixture made of 24.42% aspirin, 10.22% water, 21.08% acetone, 19.51% ethanol, and 24.77 mole % PROPGLYC. Conclusions: Exploiting Aspen Plus can be extended to handle the solubility of a new drug-like molecule once it is defined within its molecular editor with a little knowledge such as density and/or melting point.

scholarly journals Process Drive Sizing Methodology and Multi-Level Modeling Linking MATLAB® and Aspen Plus® Environment

Processes ◽  
2020 ◽  
Vol 8 (11) ◽  
pp. 1495 ◽  
Author(s):  
Patrik Furda ◽  
Miroslav Variny ◽  
Zuzana Labovská ◽  
Tomáš Cibulka
Keyword(s):  
Aspen Plus ◽  
Complex Method ◽  
User Friendliness ◽  
Industrial Case Study ◽  
Pressure Losses ◽  
Sustainable Operation ◽  
Multi Level ◽  
Source Operation ◽  
Operational Data

Optimal steam process drive sizing is crucial for efficient and sustainable operation of energy-intense industries. Recent years have brought several methods assessing this problem, which differ in complexity and user-friendliness. In this paper, a novel complex method was developed and presented and its superiority over other approaches was documented on an industrial case study. Both the process-side and steam-side characteristics were analyzed to obtain correct model input data: Driven equipment performance and efficiency maps were considered, off-design and seasonal operation was studied, and steam network topology was included. Operational data processing and sizing calculations were performed in a linked MATLAB®–Aspen Plus® environment, exploiting the strong sides of both software tools. The case study aimed to replace a condensing steam turbine by a backpressure one, revealing that: 1. Simpler methods neglecting frictional pressure losses and off-design turbine operation efficiency loss undersized the drive and led to unacceptable loss of deliverable power to the process; 2. the associated process production loss amounted up to 20%; 3. existing bottlenecks in refinery steam pipelines operation were removed; however, new ones were created; and 4. the effect on the marginal steam source operation may vary seasonally. These findings accentuate the value and viability of the presented method.

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