ASPEN PLUS Research Papers - Academia.edu (original) (raw)

ABSTRACT The efficacy of catalytic distillation (CD) and the economic merits that it would bring into the biodiesel production process is studied. Process flow sheets depicting conventional and CD technology are modeled in Aspen Plus, and detailed operating conditions and equipment designs are provided for each process. The feedstock considered is soybean oil, and the transesterification reaction for the triglyceride is considered for biodiesel production. After optimal design of both process flow sheets to produce 10 million gallons of biodiesel per year, adhering to ASTM purity standards, a detailed cost analysis is carried out using the Aspen economic analyzer tool to predict capital, operating, and utility costs and to calculate the cost of production per gallon of biodiesel. Results depict CD to be a promising candidate to replicate the conversion and product purity of conventional biodiesel processes while having significant savings in capital (41.42% cheaper than the conventional process) and utility (18.12% less than the conventional process) costs, thereby making it a very competitive alternative. The total operating costs and price of production per gallon of biodiesel are only meagerly cheaper for a CD process because the most significant factor to the biodiesel production process is the raw material cost. For both processes, the price of production per gallon of biodiesel after accounting for revenue generated from glycerol product is predicted to be around 1.7 dollars/gallon. The Aspen model is flexible to accommodate higher flow rates for scale-up of operations, add or remove stages of operation into the biodiesel process, modify feedstock and stream prices, and predict associated capital and production costs.

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- Engineering, Process Modeling and Simulation, Biodiesel, Economic analysis
- by Utkarsh Maheshwari
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- Optimization, Simulation, ASPEN PLUS, Styrene Process

Some Basic stepwise examples on Aspen

- by Kanchan Nandeshwar
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- ASPEN PLUS

Gazlaştırma, organik ya da fosil esaslı karbonlu yakıtların karbonmonoksit, karbondioksit, hidrojen, metan gibi gazlara dönüştürüldüğü ısıl bir işlemdir.
Gazlaştırma işlemi sırasında meydana gelen kimyasal reaksiyonlar sonucunda elde edilen gaza sentez gazı denilmektedir. Gazlaştırma işlemi kömür ve biyokütle gibi katı yakıtların oksidantlar (oksijen , hava, su buharı ya da bunların çeşitli oranlarda karışımlarının) ile temas edeceği bir ortamda, reaktörlerin içerisinde gerçekleşmektedir.
Gazlaştırma işleminin gerçekleştiği bu reaktörlere gazlaştırıcı da denilmektedir. Gazlaştırma işleminde yakma teknolojilerine göre daha az miktarda CO2, SO2 ve NOX oluşumu gerçekleşmektedir.
Yakma teknolojileri ile gazlaştırma prosesini karşılaştırdığımızda, gazlaştırma prosesi daha çevreci bir sistem olarak karşımıza çıkacaktır.
Aspen Plus , genel olarak akış şemalarının bilgisayar ortamında incelenmesi için geliştirilen bir simülasyon programıdır. Aspen Plus aracılığı ile kimyasal süreçler anlaşılır bir şekilde sayısal olarak modellenebilmektedir. Katı yakıtların gazlaştırma sürecinin Aspen Plus simülasyon programı kullanılarak modellenmesi deneysel sonuçların doğruluğunun tespiti açısından yarar sağlayacaktır. Aspen Plus simülasyon programı aracılığı ile bir çok bilgiye başarılı ve kolay bir şekilde erişim sağlanılır.

- by Yahya Baş
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- Process Control, Aspen Hysys, ASPEN PLUS, Reactor Design

In this paper Algorithm of Multicomponent activity coefficient by NRTL Equation Using Visual Basic Application Microsoft Excel (VBA) .When you want execute the program just select range from arrays , go to function that was defination by... more

Petroleum products play an important role in different sectors of Bangladesh and Eastern Refinery Limited is the most renowned company to refine crude oil to produce different petroleum products. It produces almost 16 different petroleum products such as LPG, Naphtha, Kerosene, Diesel, AGO, Fuel gas. Though refining process consists of a wide variety of units the major part is done in Crude Distillation Unit (CDU). So, Simulation of Crude Distillation Unit of Eastern Refinery Limited Company was carried out using ‘Aspen Plus’ Process Simulator. The aim of the simulation was to compare the theoretical data with the simulated data. Design data have been taken from Eastern Refinery Limited. Aspen Plus model was developed and simulated data was validated. Different distillation curves obtained from the simulator was found similar to the expected.

- by Sabrina Khan and +1
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- Industrial Design, Modeling and Simulation, Oil and gas, Petroleum geology
- by Andrei-Mihai Popescu
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- Optimization, Simulation, Hysys, Stabilization
- by Dr. Utkarsh Maheshwari
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- Optimization, Simulation, Distillation, Propane
- by Farhan Shafi
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- ASPEN PLUS
- by Adhemar Araoz
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- Energy, Simulation, ASPEN PLUS, System Modeling and Simulation
- by Utkarsh Maheshwari
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- Control, Dynamics, MTBE, ASPEN PLUS
- by udara sampath
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- Energy, Carbon Capture, Absorption, Pollution

Este libro sirve para introducir, de forma autónoma, a estudiantes de asignaturas del área de Ingeniería Química y profesionales que trabajen en la Industria Química en el uso del programa líder en simulación de procesos: Aspen Plus . Éste se utiliza ampliamente en industrias de procesos porque libera a los técnicos de los cálculos tediosos y les permite centrarse en el análisis, crítica y aplicación de los resultados que el propio simulador les proporciona, lo que puede extenderse también al ámbito académico.

- by Daniel G
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- ASPEN PLUS

This paper show how to find real roots of cubic equation by MATLAB Function. will help engineers in all sectors of engineering .

An absorption column is required to recover acrylic and acetic acid from the gaseous reactor effluent by contacting gas with water. Two incoming streams are handled by the column. The first is the gas stream of 5756,14 kmol/h with 0,078 % (wt./wt.) acrylic acid. It enters at a temperature of 280,50 °C and a pressure of 1,79 bar. The second stream contains processed water available from plant available at 30 °C and 1 bar and it is mixed with 500 ppm of hydroquinone inhibitor. The choice of hydroquinone as an inhibitor for this process was facilitated by its known properties to prevent polymerization of acrylic acid that is susceptible to radical-initiated polymerization (Schork, 2006). The preferred inhibitor dilution range is between 300ppm – 700 ppm (Elder J.E, 2006). The column has two exiting streams, gaseous stream and aqueous liquid stream. The gaseous stream exits at a flowrate of 5782,13 kmol/h with 390,3 ppm (wt./wt.) of acrylic acid and 23.98 ppm (wt./wt.) of acetic acid. It exits at a temperature of 70,13 °C and a pressure of 1 bar. The second exiting stream is the product stream at a total flowrate of 1576, 9 kmol/h. This stream contains 55.2 % (wt./wt.) acrylic acid (main product). It exits at a temperature of 81, 86 °C and a pressure of 1 bar. This stream is cooled to 46.5 °C prior to the LLE unit.
The product specification requires 100 000 tonnes per year of ester grade acrylic acid (minimum purity 94% (wt.) by oxidation of propylene (94% purity on molar basis). This acid product requires approximately 817.33 kmol/h of processed water. The use of packing columns is recommended for diameters less than 0.6 m (Seader, et al., 2011). The obtained diameter was 5,21 m, thus, a packed column couldn’t be chosen. Sieve trays (as opposed to bubble or valve-type trays) were chosen because of their ease of installation and lower cost compared to packed columns. The choice of sieve trays was also facilitated by their well-known design procedures, low fouling tendency and large capacity (Seader, et al., 2011). The design specifies a column with approximately 24.8 m of height, and containing 60 sieve plates. Processed water with 300 ppm of hydroquinone inhibitor is added to tray 1 (the top tray), and recycle stream is added at tray 69, one stage above the base stage. Single pass crossflow-type trays are employed for all the plates. The column operating pressure is 1 bar and the operating temperature range is from 69,85°C to 81.8 °C. A safety factor of 10% was accounted for in the design temperature and pressure. The total weight of a column vessel including the shell weight, plates and insulation is 1096,85 kN which is equivalent to 111847,55 kg. The absorption column and its associated structures (insulation, trays and vessel) are expected to cost in the region of R 8,8 million. Detailed calculations concerning the absorption column design are presented in Appendix F.

- by Retsam Fut and +1
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- Chemical Engineering, Mass Transfer, Optimization, Mechanical Engineering Design
- by Utkarsh Maheshwari
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- Optimization, Simulation, Distillation, Propane
- by Dwaipayan Biswas
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- Optimization, Simulation, Distillation, Propane

A steady state Aspen Plus® simulation is used to propose and analyse a novel indirect gasification model using steam as the gasifying medium. A sensitivity study is carried out by varying the steam-to-coal ratio. Part of the Syngas produced is combusted in the furnace to provide flue gases at high temperature which is then passed through the bayonets to provide reaction heat. RK-Soave method is used for the evaluation of physical properties of mixed conventional components and CISOLID components in the simulation. The feedstock used in the simulation is indigenous Thar coal from Pakistan, where large coal reserves are present. It was found that a lower steam-to-coal ratio increases the heat content of the syngas produced. Also, the carbon conversion undergoes a maximum at the ratio 2.0. As we increase the steam-to-coal ratio, the yields are better but inevitably reduce the quality of syngas produced. Carbon conversions and H2/CO ratios as high as 95.76% and 3.09 respectively were observed with higher steam to carbon ratios. However, lower ratios provide high yields (69.00%) and cold gas efficiencies (54.41%). Based on these results, it can be said that this parameter significantly influences the syngas quality and processing costs and the diversity of trends suggest a more detailed analysis for optimisation of the process.

- by Fahim Uddin and +1
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- Coal Gasification, ASPEN PLUS, Syngas
- by Badar Ilham Anggawijaya
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- Optimization, Urea Synthesis, ASPEN PLUS

The power generating sector is identified to be the main source of CO 2 emission. Due to the climate change effect, CO 2 capture technologies are being important in current scenario. Out of several gas cleaning methods, post combustion CO 2 removal by chemical absorption technology is the closest to commercialization. This paper presents a simulation study of the chemical absorption process with the MEA system as the solvent. Data found in literature (Texas case 32 and case 47) are compared with the simulation results. Two models are developed and implemented in Aspen Plus and MATLAB with the same physical properties to represent the absorber given in the Texas pilot plant study. The rate based Electrolyte NRTL model is used in the Aspen Plus model and the Kent-Eisenberg (K-E) model is selected for the development of the rate based MATLAB model. Model simulations are done using 32.5[w/w %] MEA solution and 0.28 [mol CO 2 /mol MEA] lean CO 2 loading. Simulations are performed by forcing the CO 2 removal efficiencies to be the same as in the pilot plant study. The simulation results from the Aspen Plus and MATLAB models are compared using the temperature profiles. Both models follow similar patterns for the temperature profiles and those approximately equal with the Texas plant data.

- by udara sampath
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- Modeling and Simulation, Matlab, Carbon Capture and Storage, ASPEN PLUS

A step-by–step procedure on the separation of methanol-water mixture has been developed. Application of
ASPEN PLUS Software was utilized. Aspen Plus interface with Thermodynamics Package selection and an
activity coefficient model are incorporated. UNIQUAC is used. Results obtained have shown a simple method
that can be easily used by all chemical engineers at all levels. The developed method can be used for separation
of other mixtures in the separation process industries.
Keywords: UNIQUAC model, separation, simulation, computer package

- by Itong Ujile and +1
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- Modeling and Simulation, ASPEN PLUS, Aspen Hysis
- by Harjeet Nath
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- Environmental Engineering, Mechanical Engineering, Chemical Engineering, Simulation

Haydary, J. (2019) Chemical Process Design and Simulation. Hoboken: AIChE

- by Marian Rojas
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- Chemistry, Química, Chemical Engineer, ASPEN PLUS

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, ∆G mix , 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, ∆G mix , 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.

- by Kamal Al-Malah
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- Drug Delivery Systems, Solubility, ASPEN PLUS, Aqueous Solution
- by Wang Dongliang
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- Multi objective optimization, Hydrogen Production, ASPEN PLUS
- by Aashish Gaurav
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- Process Modeling and Simulation, Biodiesel, Economic analysis, ASPEN PLUS

Eastern Refinery Limited played an important role in producing petroleum products in Bangladesh and produces almost 16 different petroleum products. Crude Distillation Unit is the energy intensive unit. Simulation of Crude Distillation Unit of Eastern Refinery Limited Company was carried out using Aspen Plus Process Simulator. Various design data have been taken from Eastern Refinery Limited. Aspen Plus model is developed and simulation data is validated. Different distillation curves obtained from the simulator are similar to the expected.

- by Mohammad Hasibul Hasan and +2
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- Chemical Engineering, Industrial Design, Process Engineering, Optimization

Simulation of a Fluidized Bed Reactor is carried out to find out the possible abatement of amount of fluorine and fluorides from gaseous effluents of Phosphatic Fertilizer Plant. Red-mud with small amount of coarse aluminium particles (approx. 760 microns) are used as bed materials. Bed hydrodynamics were studied to determine the proper fluidization conditions. Aspen Plus Simulation is used to study the effect of various parameters (i.e. temperature, pressure and composition of bed materials) on abatement of fluorides assuming chemical equilibrium where the total Gibbs energy of the system has its minimum value. The required conditions for maximum possible abatement of fluorine and fluorine bearing compounds from the industrial gaseous effluents are determined.

- by Abanti Sahoo
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- Environmental Engineering, Mechanical Engineering, Chemical Engineering, Simulation

- by Mohammad Rehan
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- Environmental Engineering, Chemical Engineering, Civil Engineering, Chemistry

Chemical Engineering education faces new challenges that need to be addressed by chemical engineering educators. The
dynamically changing learning environment and that of teaching require the teacher to relax and contemplate. Among all community
sectors, educators must be number one in sniffing the smell of change, be willing to adapt, and later be capable to adopt new
pedagogical findings, methods and techniques, and means. In brief, the notion of revolutionizing chemical engineering education
does not necessarily mean that we should ignore the pillars of it. On the contrary, we should expand in a way to also tackle the latest
critical socio-technical issues both on the stem (roots) and branches level. The tree of chemical engineering education has to grow in
height (chance to explore new areas and also see the sun) above the ground and have more branches (industrial applications to be
tailored to chemical engineering), as well. A strong tree with green leaves and fruits emanates from well-irrigated roots. On the one
hand, we need to contemplate about our ancestors in terms of re-visiting fundamental science topics. On the other hand, we need
to stay updated amid “continuously changing” learning and teaching environment as far as the latest pedagogical findings, domain
knowledge, technology for teaching (i.e., means of dissemination and communication), web-based online resources, lab equipment
and tools, relevant software, computational techniques, and programing languages are concerned. Topics like public awareness, soft
skill, and innovation and entrepreneurship were also highlighted.

- by Kamal Al-Malah
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- Chemical Education, Matlab Programming, ASPEN PLUS
- by udara sampath
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- Multivariate Data Analysis, CO2 capture and storage, ASPEN PLUS
- by masoud samadi
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- Environmental Science, Optimization, Simulation, Hysys

According to the high costs of structured packings, efficient and high-capacity packings can be provided with a precise and optimal design at the minimum expenses. In structured packings, the pressure drop is one of the critical factors in calculating the optimal diameter of the tower. In the present research, two phase pressure drop in SulzerBX structured packing was optaincd by computational fluid dynamics and compared with experimental data. The relative error was 9.1%. Furthermore, the amount of maximum pressure drop was 833.7 Pascal per meter at gas and liquid velocities of 0.899 and 0.0298 m/s, respectively. In addition, the minimum pressure drop was 25.1 Pascal per meter at gas and liquid velocities of 0.341 and 0.0298, respectively. Compared with conventional packings the pressure drop in perforated plates illustrated a 7% reduction. To the best of the authors' knowledge, there is no reported study on this packing using perforated plates by computational fluid dynamics. This study aims to investigate the influence of packing plates holes on two phase pressure drop.
Keywords: Structured Packing , Computational Fluid Dynamics , Pressure Drop , Sulzer_BX

- by ali shahmohammadi
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- Distillation columns, ASPEN PLUS, ANSYS-CFX, Adsorbent
- by Dr. Utkarsh Maheshwari
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- Optimization, Simulation, ASPEN PLUS, Butyl Acetate

The focus of this work is utilization of waste heat
in a cement kiln flue gas in an amine-based CO2 absorption
process. The high temperature flue gas from the cement kiln is
used to generate steam in a waste heat boiler. The steam is then
used to replace some of the steam required in the stripping
section of the CO2 capture plant. The required surface area for
heat exchange, the cost of installing this area and the payback
time of the installation is calculated. The flue gas capture model
was developed using the Aspen Plus simulation software. The
available excess heat in the cement manufacturing process is
calculated to 18 MW for the base case considered. The heat
transfer area is calculated as 3115m2. The total cost of the heat
exchanger was $ 3.9 million, and the payback time is about 1
year, demonstrating the economic feasibility of applying heat
integration when implementing an amine-based CO2 capture
process in a cement kiln system.

- by udara sampath
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- Energy, Solid Waste Management, CO2 capture and storage, ASPEN PLUS

Objectives: Closed-loop identification is reported to provide better results for identification of systems for control applications. This study conducted closed-loop identification on an Aspen Plus® dynamic simulation based on a pilot-plant distillation column to develop discrete-time linear time-invariant models. Methods/Statistical Analysis: Identification data was generated using set-point perturbations in control variables under proportional-integral control. Identified models were compared with a model identified using open-loop data using 20-step ahead predictions. Findings: Results indicate that closed-loop identification provides more precise prediction models than open-loop identification in this case study. 20-step predictions for closed loop models exceeded 90% fit, whereas the open loop model predictions provided a 70% fit and missed the steady-state values. Application/Improvements: Thus closed-loop identification is more appropriate for applications in model-based controllers.

- by Fahim Uddin and +1
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- System Identification, Distillation columns, ASPEN PLUS, Closed Loop Systems
- by Dr. Utkarsh Maheshwari
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- Optimization, Simulation, ASPEN PLUS, Styrene Process

The organic Rankine cycle (ORC) has recently emerged as a practical approach for generating electricity from low-to-high-temperature waste industrial streams. Several ORC-based waste heat utilization plants are already operational; however, improving plant cost-effectiveness and competitiveness is challenging. The use of thermally efficient and cost-competitive working fluids (WFs) improves the overall efficiency and economics of ORC systems. This study evaluates ORC systems, facilitated by biogas combustion flue gases, using n-butanol, i-butanol, and methylcyclohexane, as WFs technically and economically, from a process system engineering perspective. Furthermore, the performance of the aforementioned WFs is compared with that of toluene, a well-known WF, and it is concluded that i-butanol and n-butanol are the most competitive alternatives in terms of work output, exergy efficiency, thermal efficiency, total annual cost, and annual profit. Moreover, the i-butanol and n-butanol-based ORC systems yielded 24.4 and 23.4% more power, respectively, than the toluene-based ORC system; in addition, they exhibited competitive thermal (18.4 and 18.3%, respectively) and exergy efficiencies (38 and 37.7%, respectively). Moreover, economically, i-butanol and n-butanol showed the potential of generating 48.7 and 46% more profit than that of toluene. Therefore, this study concludes that i-butanol and n-butanol are promising WFs for high-temperature ORC systems, and their technical and economic performance compares with that of toluene. The findings of this study will lead to energy efficient ORC systems for generating power.

- by Mohammad Rehan and +1
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- Environmental Engineering, Chemical Engineering, Civil Engineering, Chemistry

The development of Nanoparticles loaded with drug formulations has provided the opportunities to treat
challenging diseases like cancer, AIDS and many other. Nanoparticles stacked with drug contrasts in
size over a range from 100 to 500 nm. By the alteration of size, surface charge and materials used, the
nanoparticles can be derived into smart systems, enclosing therapeutic and imaging agents and also as
bearing stealth property. Further, these systems can release drug to identified tissues and provide
regulated release therapy. This targeted and controlled drug delivery increase patient’s compliance with
less recurrent dosing and decreases the drug related toxicity. Nanotechnology has proven favourable in
the treatment of cancer, also providing advancement in diagnostic testing. Docetaxel loaded
nanoparticles has potential role for the treatment of various cancers and also it has gained a lot of
attention towards immunotherapy by enhancing its immune response in presence adjuvant like to toll like
ligand 4 (TLR-4) to enhance DC maturation. In this regard, we have chosen polypyrrole nanoparticles
loaded with docetaxel has tendency that extends to a level of DC maturation through photo response as
well as adjuvant. Primarily, we characterized nanoparticles hydrodynamic size and loading of adjuvant
presence through DLS and FTIR. Further, stability of nano adjuvant particles confirmed through DLS and
found to be more than 3 months. The resultant Nano samples exhibited biocompatibility on B16F10 cells
in absence of adjuvant and antigen at high concentration beyond the physiological range showing toxicity.
In addition to that, these Nano samples exhibited little extendable DC maturation which is sufficient to
treat cancer as well as extendable potential range also observed in CV studies. Our results reveal that
future vaccine models for treatment of cancer.

- by perdana muhamad
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- Optimization, ASPEN PLUS, Heat Integration
- by Carmen Martin
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- Hydrogen, Natural Gas, Steam Methane Reforming, ASPEN PLUS

Di-tert-butyl-peroxide (DTBP) is a clear organic compound and one of the most stable organic peroxides, formed by the linkage of two flanking tert-butyl groups to a peroxide group. A versatile compound, DTBP is used as a radical initiator in polymer chemistry and organic synthesis, and is a cetane improver in diesel fuel, raising its ignition accelerations. It owes a great deal of its usefulness to the nature of its decomposition, or homolysis; it breaks down at temperatures greater than 100 degrees celsius, and because it can decompose both aerobically and anaerobically, it makes for a multifaceted fuel source. The following is a list of some of the many applications of DTBP: • An important initiator for high pressure, high temperature polymerizations of ethylene and halogenated ethylenes. • Cures resins of allyl acetate and allyl phthalate. • Applied in the making of polyketones from carbon and ethylene • Used as a finishing catalyst for polystyrene • Used as a polymerization cata...

- by Joseph Burrier and +1
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- Chemical Engineering, Chemistry, Organic Chemistry, Technology