Process simulation of organic liquid products fractionation in countercurrent multistage columns using CO2 as solvent with Aspen-Hysys

In this work, the deoxygenation of organic liquid products (OLP) obtained by thermal catalytic cracking of palm oil at 450 °C, 1.0 atmosphere, with 10% (wt.) Na2CO3 as catalyst, in multistage countercurrent absorber columns using supercritical carbon dioxide (SC-CO2) as solvent, with Aspen-HYSYS process simulator was systematically investigated. In a previous study, the thermodynamic data basis and EOS modeling necessary to simulate the deoxygenation of OLP has been presented [Molecules 2021, 26, 4382. https://doi.org/10.3390/molecules26144382]. This work address a new flowsheet, consisting of 03 absorber columns, 10 expansions valves, 10 flash drums, 08 heat exchanges, 01 pressure pump, and 02 make-up of CO2, aiming to improve the deacidification of OLP. The simulation was performed at 333 K, 140 bar, and (S/F) = 17; 350 K, 140 bar, and (S/F) = 38; 333 K, 140 bar, and (S/F) = 25. The simulation shows that 81.49% of OLP could be recovered and the concentrations of hydrocarbons in the extracts of absorber-01 and absorber-02 were 96.95 and 92.78% (wt.) in solvent-free basis, while the bottom stream of absorber-03 was enriched in oxygenates compounds with concentrations up to 32.66% (wt.) in solvent-free basis, showing that organic liquid products (OLP) was deacidified and SC-CO2 was able to deacidify OLP and to obtain fractions with lower olefins content. The best deacidifying conditions was obtained at 333 K, 140 bar, and (S/F) = 17.

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Simulation of Organic Liquid Products Deoxygenation by Multistage Countercurrent Absorber/Stripping Using CO2 as Solvent with Aspen-HYSYS: Thermodynamic Data Basis and EOS Modeling

Molecules ◽

10.3390/molecules26144382 ◽

2021 ◽

Vol 26 (14) ◽

pp. 4382

Author(s):

Elinéia Castro Costa ◽

Welisson de Araújo Silva ◽

Eduardo Gama Ortiz Menezes ◽

Marcilene Paiva da Silva ◽

Vânia Maria Borges Cunha ◽

...

Keyword(s):

Organic Liquid ◽

Phase Equilibrium Data ◽

Average Absolute Deviation ◽

Experimental Phase ◽

Absolute Deviation ◽

Aspen Hysys ◽

Experimental Phase Equilibrium ◽

Liquid Products ◽

Equilibrium Data ◽

Group Contribution Methods

In this work, the thermodynamic data basis and equation of state (EOS) modeling necessary to simulate the fractionation of organic liquid products (OLP), a liquid reaction product obtained by thermal catalytic cracking of palm oil at 450 °C, 1.0 atmosphere, with 10% (wt.) Na2CO3 as catalyst, in multistage countercurrent absorber/stripping columns using supercritical carbon dioxide (SC-CO2) as solvent, with Aspen-HYSYS was systematically investigated. The chemical composition of OLP was used to predict the density (ρ), boiling temperature (Tb), critical temperature (Tc), critical pressure (Pc), critical volume (Vc), and acentric factor (ω) of all the compounds present in OLP by applying the group contribution methods of Marrero-Gani, Han-Peng, Marrero-Pardillo, Constantinou-Gani, Joback and Reid, and Vetere. The RK-Aspen EOS used as thermodynamic fluid package, applied to correlate the experimental phase equilibrium data of binary systems OLP-i/CO2 available in the literature. The group contribution methods selected based on the lowest relative average deviation by computing Tb, Tc, Pc, Vc, and ω. For n-alkanes, the method of Marrero-Gani selected for the prediction of Tc, Pc and Vc, and that of Han-Peng for ω. For alkenes, the method of Marrero-Gani selected for the prediction of Tb and Tc, Marrero-Pardillo for Pc and Vc, and Han-Peng for ω. For unsubstituted cyclic hydrocarbons, the method of Constantinou-Gani selected for the prediction of Tb, Marrero-Gani for Tc, Joback for Pc and Vc, and the undirected method of Vetere for ω. For substituted cyclic hydrocarbons, the method of Constantinou-Gani selected for the prediction of Tb and Pc, Marrero-Gani for Tc and Vc, and the undirected method of Vetere for ω. For aromatic hydrocarbon, the method of Joback selected for the prediction of Tb, Constantinou-Gani for Tc and Vc, Marrero-Gani for Pc, and the undirected method of Vetere for ω. The regressions show that RK-Aspen EOS was able to describe the experimental phase equilibrium data for all the binary pairs undecane-CO2, tetradecane-CO2, pentadecane-CO2, hexadecane-CO2, octadecane-CO2, palmitic acid-CO2, and oleic acid-CO2, showing average absolute deviation for the liquid phase (AADx) between 0.8% and 1.25% and average absolute deviation for the gaseous phase (AADy) between 0.01% to 0.66%.

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Safety and Efficiency Enhancement in LNG Terminals

Natural Resources Management ◽

10.4018/978-1-5225-0803-8.ch075 ◽

2017 ◽

pp. 1584-1596

Author(s):

Ravinder Singh ◽

Helen Huiru Lou

Keyword(s):

High Risk ◽

Energy Density ◽

Natural Gas ◽

Process Simulation ◽

Simulation Software ◽

Liquefied Natural Gas ◽

Efficiency Enhancement ◽

Plant Operation ◽

Aspen Hysys ◽

Safety Enhancement

Liquefaction of natural gas helps in transporting it over long distances by sea vessels. It is then regasified and transported through pipelines to the consumer. Due to large energy density of Liquefied Natural Gas (LNG), and associated flammability issues, the LNG terminal involves high risk. Consequently, safety is an important factor in the operation of LNG terminals. Although a substantial amount of time money and effort has been put in this area, there is always some possibility of improving the process so that less risk is involved. Rapid advancement in process simulation software like Aspen Plus and Aspen HYSYS, has led to the convenience of experimenting the various control methodologies on the computer offline from the actual plant operation, before they are implemented in real time. In this chapter, main hazards associated with LNG terminal operation will be highlighted. Further, recent advancements in research for safety enhancement and efficiency enhancement in the liquefaction and regasification processes will also be included.

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Process analysis of physicochemical properties and chemical composition of organic liquid products obtained by thermochemical conversion of palm oil

Journal of Analytical and Applied Pyrolysis ◽

10.1016/j.jaap.2016.11.017 ◽

2017 ◽

Vol 123 ◽

pp. 284-295 ◽

Cited By ~ 11

Author(s):

A.A. Mâncio ◽

K.M.B. da Costa ◽

C.C. Ferreira ◽

M.C. Santos ◽

D.E.L. Lhamas ◽

...

Keyword(s):

Chemical Composition ◽

Physicochemical Properties ◽

Palm Oil ◽

Process Analysis ◽

Organic Liquid ◽

Thermochemical Conversion ◽

Liquid Products

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Techno-Economic Analysis of Vinasse Treatment Alternatives Through Process Simulation: A Case Study of Cuban Distillery

10.21203/rs.3.rs-518806/v1 ◽

2021 ◽

Author(s):

Arletis Cruz Llerena ◽

Osney Perez Ones ◽

Lourdes Zumalacárregui de Cárdenas ◽

José Luis Pérez de los Ríos

Keyword(s):

Process Simulation ◽

Electricity Generation ◽

Industrial Effluents ◽

Economic Assessment ◽

Actual Condition ◽

Animal Food ◽

Investment Projects ◽

Aspen Hysys ◽

Treatment Alternatives

Abstract Purpose Vinasse is one of the organic industrial effluents with major polluting effect. The objective of this work was to perform a techno-economic assessment of vinasses treatment alternatives for valorization of this waste through process simulation with Aspen Hysys v10.0. Methods Four alternatives were studied: (A_1) incineration and electricity generation, (A_2) desalinization, (A_3) anaerobic digestion and electricity generation and (A_4) drying. The selected packages for the evaluation and prediction of properties were: Lee-Kesler-Plöcker and NBS Steam, NRTL-Ideal, Peng-Robinson-Stryjer-Vera and NBS Steam and NRTL-Ideal respectively; the validation in these cases was carried out with data reported in the literature. The economic evaluation was carried according to the changes that each alternative determines in each one of the elements of effective cash flow comparing with the actual condition. Results With the alternative A_1, fertilizers ashes are obtained removing all the residual and the energy generation. By the alternative A_2, fertilizers salts and desalinate vinasses (for animal food) were obtained. By the alternative A_3, energy is generated from biogas. By the alternative A_4, dry vinasse is obtained which is used as fertilizer and animal food. Conclusion The polluting effect of the vinasse can be reduced with the proposed treatment alternatives. It was showed that the alternatives are feasible, being the alternative A_1 the best, with a NPV of $ 1.29 MMUSD, IRR 25.5% and DPBP 2.7 years. Process simulation are a valuable supporting tool when making decisions in investment projects for valorization of vinasse from the ethanol industry.

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Process simulation of the pilot scale bioethanol production from rice straw by Aspen Hysys

IOP Conference Series Materials Science and Engineering ◽

10.1088/1757-899x/778/1/012095 ◽

2020 ◽

Vol 778 ◽

pp. 012095

Author(s):

Phung K Le ◽

Tin D T Le ◽

Quan D Nguyen ◽

Viet T Tran ◽

Phong T Mai

Keyword(s):

Rice Straw ◽

Process Simulation ◽

Pilot Scale ◽

Bioethanol Production ◽

Aspen Hysys

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Flooded by Success: On the Role of Electrode Wettability in CO2 Electrolyzers That Generate Liquid Products

10.26434/chemrxiv.11987541 ◽

2020 ◽

Author(s):

McLain Leonard ◽

Michael Orella ◽

Nick Aiello ◽

Yuriy Román-Leshkov ◽

Antoni Forner-Cuenca ◽

...

Keyword(s):

Formic Acid ◽

Organic Liquid ◽

Lower Surface ◽

Gas Diffusion ◽

Sweep Rate ◽

Contact Angles ◽

Operating Conditions ◽

Stable Operating ◽

Wide Range ◽

Liquid Products

Economic operation of carbon dioxide (CO2) electrolyzers generating liquid products will likely require high reactant conversions and product concentrations, conditions anticipated to challenge existing gas diffusion electrodes (GDEs). Notably, electrode wettability will increase as lower surface tension products (e.g., formic acid, alcohols) are introduced into electrolyte streams potentially leading to flooding. To understand the hydraulically stable operating envelopes in mixed aqueous-organic liquid domains, we connect intrinsic electrode wettability descriptors to operating parameters such as electrolyte flow rate and current. We first measure contact angles of water-organic dilutions on polytetrafluoroethylene (PTFE) and graphite surfaces as planar analogues for GDE components. We then use material balances around the reactive gas-liquid interface to calculate product mass fractions as functions of water sweep rate and current. Product composition maps visualize the extent to which changes in cell performance influence capillary pressure, a determinant of GDE saturation. Analyses suggest that formic acid mixtures pose little risk for GDE flooding across a wide range of conditions, but effluents enriched with less than 30% alcohol by mass may cause flooding. This study reveals opportunities to integrate microstructural features and oleophobic surface treatments into GDEs to repel aqueous-organic mixtures and expand the window of stable operating conditions.<br>

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Quantitative Process Risk Analysis Based on Dynamic Simulation of Gas Gathering Process

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.399-401.2226 ◽

2011 ◽

Vol 399-401 ◽

pp. 2226-2230

Author(s):

Jian Min Fu ◽

Dong Feng Zhao ◽

Chao Zhang ◽

Yi Liu

Keyword(s):

Quantitative Analysis ◽

Dynamic Simulation ◽

Process Simulation ◽

Petrochemical Industry ◽

Simulation Analysis ◽

Simulation Software ◽

Safety Requirements ◽

Aspen Hysys ◽

Process Risk ◽

Major Trend

After nearly fifty years of development, HAZOP (Hazard and Operability study /analysis) has become the most widely used process hazard identifications method, basically covering all areas of petrochemical industry. As technology advancing and people continuing to increase safety requirements, HAZOP quantitative analysis has become a major trend. This paper gives an integration of traditional HAZOP procedure with Dynamic Simulation to quantify the HAZOP deviations and improve the operability of action required. A natural gas gathering process is selected to the application example. Uses the advanced process simulation software ASPEN HYSYS to set the modeling of the gas gathering process, and carry out the dynamic modeling in the light of main problems, and combing the dynamic simulation analysis gets the quantitative analysis results.

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