Journal articles: 'HYSYS'

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Ibragimova, Ramilya, Vitaliy Afanasenko, Gleb Kudryavtsev, and Denis Mazidullin. "Use of numerical modeling methods in desing of combined rectification column." MATEC Web of Conferences 298 (2019): 00070. http://dx.doi.org/10.1051/matecconf/201929800070.

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The article is devoted to the study of methods for modeling the operation of rectification columns using the HYSIS application software package. Such studies are very important not only for design, but also for the functioning of existing industries. The article proposes to use for combining nozzle devices in the concentration part of the column, and plate-shaped structures in the distant part of the column for more efficient and stable operation of distillation columns. To determine the hydrodynamic parameters of the operation of distillation column, a technique of determining the range of stable loads and the position of the operating point inside or outside the range of stable loads was taken. A column model was constructed using the HYSYS software package for separating gas mixtures with various contact devices: sieve trays, Rashig ring nozzles. Experiments for the same type and combined contact devices were carried out and their comparison was carried out in terms of hydraulic calculation and operating range. As a result of experiments with the use of the HYSYS software package, it was shown that the combined arrangement of contact devices can provide a stable hydraulic mode, in contrast to the use of similar contact devices.

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Astuti, Erna, Supranto Supranto, Rochmadi Rochmadi, Agus Prasetya, Krister Ström, and Bengt Andersson. "Determination of the Temperature Effect on Glycerol Nitration Processes Using the HYSYS Predictions and the Laboratory Experiment." Indonesian Journal of Chemistry 14, no. 1 (March 1, 2014): 57–62. http://dx.doi.org/10.22146/ijc.21268.

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Determinations of the temperature effect on glycerol nitration processes have been done with two methods: the HYSYS predictions and the laboratory experiment. The aim of this study was to compare prediction method and laboratory experiment method. The highest equilibrium conversion from HYSYS predictions was obtained in the range of equilibrium temperature of 10 to 20 °C. The laboratory experiments also described that nitration of glycerol with nitric acid should be carried out at reaction temperature of 10 to 20 °C. HYSYS that was used to predict the results of experiments in the laboratory can reduce the laboratory work with minimize the range of operating conditions studied. HYSYS exactly predict temperature of nitration of glycerol. The difference in conversion between two methods due to the equipment that was used in the experiments, procedure of experiments and the accuracy of analysis.

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Makasheva, D. "Modeling and optimization of AVT-3 and AT-2 crude оil distillation units at Atyrau refinery." Herald of the Kazakh-British technical university 19, no. 3 (October 2, 2022): 15–22. http://dx.doi.org/10.55452/1998-6688-2022-19-3-15-22.

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The article shows examples of the use of Aspen Hysys software for optimization of the AVT-3 and AT-2 crude oil distillation units at Atyrau Oil Refinery. The Aspen Hysys software was implemented at the Atyrau Refinery for the first time.Calculations were carried out to optimize AVT-3 and AT-2 crude distillation units of the Atyrau refinery with the construction of a model in Aspen Hysys. As a result of the calculations, the possibility of improving the efficiency of individual parts of units was revealed, pilot runs on the units were carried out to confirm. During the pilot run on the AVT-3 unit, a restriction was revealed on regulating the temperature of the cube of the steam column, which affects the stabilization of the kerosene fraction beginning boiling point. During the pilot run at the AT-2 unit, it was revealed that an increase in steam consumption in the main atmospheric oil distillation column contributes to a decrease in the content of light fractions in straight-run fuel, while the yields of gasoline and kerosene-gasoil fractions increase. Thus, the positive effect of Aspen Hysys application at the Atyrau refinery for optimization of crude oil distillation units and identification of technological limitations is shown.

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Kalashnikov, O. V., S. V. Budniak, Yu V. Ivanov, Yu M. Belyansky, N. O. Aptulina, and A. O. Zobnin. "COMPARISON OF GAZKONDNAFTA AND HYSYS SOFTWARE SYSTEMS IN THE FIELD OF COMPUTER MODELING OF OIL AND GAS TECHNOLOGIES." Energy Technologies & Resource Saving, no. 3 (September 20, 2021): 4–22. http://dx.doi.org/10.33070/etars.3.2021.01.

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The experimental and calculated according to program systems GasCondOil, Aspen-HYSYS and PRO-II compositions of the gas — liquid phases (hydrocarbon and aqueous solutions) and their thermodynamic properties are compared, as well as the accuracy of technological calculations of field pipelines and natural gas and oil treatment processes. It is shown that some of the field technological processes, calculated by the program system GasCondOil, are not modeled on Aspen-HYSYS. Bibl. 16, Fig. 9, Tab. 15.

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Ahmed D. Wiheeb. "PROCESS SIMULATION STUDY OF ETHYL ACETATE REACTIVE DISTILLATION COLUMN BY HYSYS® 3.2 SIMULATOR." Diyala Journal of Engineering Sciences 4, no. 2 (December 1, 2011): 39–56. http://dx.doi.org/10.24237/djes.2011.04204.

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In this paper, reactive distillation column for the production of ethyl acetate from ethanol and acetic acid has been simulated by the simulator tool of HYSYS. This reactive distillation is a promising operation whereby reaction and separation take place within a single distillation column. The thermodynamic properties are calculated with the Wilson, NTRL and UNIQUAC Property Package models which are available in HYSYS simulator program. The effects of water content in feed, bottom temperature and reflux ratio on top temperature and conversion of ethanol are studied when using three thermodynamic models and three feed statuses (upper, intermediate and spilt).The results showed that the best conditions are: bottom temperature (83-86)0C, reflux ratio (2-5) without water content in feed at spilt condition using Wilson as the best model. The study gives evidence about a successful simulation with HYSYS because the results are close with the experimental data of (Calvar et al)[18

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Candido Neto, José Maximiano, Wagner André dos Santos Conceição, Paulo Roberto Paraíso, and Luiz Mario De Matos Jorge. "Behavior analysis of an orange juice evaporator using an industrial process simulator." Revista Brasileira de Pesquisa em Alimentos 2, no. 1 (June 1, 2012): 49. http://dx.doi.org/10.14685/rebrapa.v2i1.43.

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The process simulators are increasingly used in the activities of design and analysis of industry operations. Recently, several commercial simulators have been developed, including HYSYS, which was initially developed for applications related to petrochemicals, but with modifications can be used to simulate the operating conditions of other areas such as the food industry. The evaporation of orange juice is a processing step that aims to concentrate the separation of water by heating the mixture, with high energy consumption. Therefore, processes modeling and simulation using simulators such as HYSYS becomes very attractive due to the possibility of studies in the plant without the need of experimentation, since the process being modeled it is possible to obtain fast and reliable information. The results of this study showed that hypothetical orange juice modeled in HYSYS through the sucrose solution in water represented well and the real juice obtaining a deviation less than 10% for the property thermal conductivity. The model of falling film evaporator for concentrating orange juice built in HYSYS by the association of the heat exchanger and flash separator vessel proved to be fairly consistent through the simulations with the experimental data of the process which indicates great potential for use as analysis tool, simulation and optimization of the concentration of orange juice in industrial evaporators. DOI: http://dx.doi.org/10.14685/rebrapa.v2i1.43

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FELIX, P. B. V., V. B. NOGUEIRA, S. LUCENA, and M. C. S. CAMELO. "IN HYSYS SIMULATION OF A PLANT BIOETANOL." Revista Gestão, Inovação e Tecnologias 4, no. 2 (June 22, 2014): 796–807. http://dx.doi.org/10.7198/s2237-072220140002007.

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Sultana, Sujala T., and M. Ruhul Amin. "Aspen-Hysys Simulation Of Sulfuric Acid Plant." Journal of Chemical Engineering 26 (March 24, 2012): 47–49. http://dx.doi.org/10.3329/jce.v26i1.10182.

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This work presents a theoretical investigation of the simulation of Sulfuric acid process plant. In the production of the acid in contact process liquid sulfur is sequentially oxidized to Sulfur tri oxide via an exothermic reaction which is absorbed by 98% Sulfuric acid in an absorption tower. In this research Aspen One V7.2 has been successfully used to design every sub-process of the sulfuric acid plant in one integrated environment. In order to simulate the process as accurately as possible COM thermo was selected as advanced thermodynamics. Electrolyte NRTL and Peng-Robinson were used for liquid and vapor phase respectively as fluid package and HYSYS properties were used for simulation. The simulation of sulfuric acid process included automatic chemistry generation and the capacity of handling electrolyte reactions for all unit models. Aspen-HYSYS provides specialized thermodynamics models and built-in data to represent the non-ideal behavior of liquid phase components in order to get accurate results. Material and energy flows, sized unit operations blocks can be used to conduct economic assessment of each process and optimize each of them for profit maximization. The simulation model developed can also be used as a guide for understanding the process and the economics, and also a starting point for more sophisticated models for plant designing and process equipment specifying. DOI: http://dx.doi.org/10.3329/jce.v26i1.10182 JCE 2011; 26(1): 47-49

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Roy, Partho S., and M. Ruhul Amin. "Aspen-HYSYS Simulation of Natural Gas Processing Plant." Journal of Chemical Engineering 26 (March 24, 2012): 62–65. http://dx.doi.org/10.3329/jce.v26i1.10186.

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In this time of energy crisis low production rate against the increasing demand of the gas production regularly hampers both the domestic and industrial operations since natural gas is the major power source of this country. Unless other power source is developed, natural gas is our only hope. Almost all the existing processing plants are now operating beyond their capacities. Nonetheless there has been a dwindling situation in the gas production. Besides political indecision regarding new establishment of gas plant and other power source have made the situation nothing but complicated. In such a case an idea of optimization of the gas processing plant will surely pave a way to a sustainable solution. This project has the intention to carry out the simulation of the Bakhrabad gas processing plant (at Sylhet) using the Aspen-HYSYS process simulator. The steady state simulation of the gas processing plant shall be performed based on both the design and physical property data of the plant. DOI: http://dx.doi.org/10.3329/jce.v26i1.10186 JCE 2011; 26(1): 62-65

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Toyin Olabisi, Odutola, and Ugwu Chukwuemeka Emmanuel. "Simulation of Laboratory Hydrate Loop Using Aspen Hysys." Engineering and Applied Sciences 4, no. 3 (2019): 52. http://dx.doi.org/10.11648/j.eas.20190403.11.

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Abdollahi-Demneh, Farzad, Mohammad Ali Moosavian, Mohammad Reza Omidkhah, and Hossein Bahmanyar. "Calculating exergy in flowsheeting simulators: A HYSYS implementation." Energy 36, no. 8 (August 2011): 5320–27. http://dx.doi.org/10.1016/j.energy.2011.06.040.

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Semenov, Ivan, and Aleksandr Shelkovnikov. "MODELING OF THE PROCESS OF ISOPARAFFIN SULFURIC ALKYLATION." Modern Technologies and Scientific and Technological Progress 1, no. 1 (May 17, 2021): 72–73. http://dx.doi.org/10.36629/2686-9896-2021-1-1-72-73.

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Olateju, Idowu Iyabo, Crowei Gibson-Dick, Steve Chidinma Oluwatomi Egede, and Abdulwahab Giwa. "Process Development for Hydrogen Production via Water-Gas Shift Reaction Using Aspen HYSYS." International Journal of Engineering Research in Africa 30 (May 2017): 144–53. http://dx.doi.org/10.4028/www.scientific.net/jera.30.144.

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The development of a process for the production of hydrogen through water-gas shift reaction has been developed and simulated in this work using Aspen HYSYS. This was achieved by picking the pieces of process equipment of the plant from the appropriate section of the Aspen HYSYS environment and connecting them together through appropriate streams. In addition, the components involved in the process were selected from the Aspen HYSYS databank. Peng-Robinson Stryjek-Vera (PRSV) was used as the fluid package of the developed process for property estimation during the simulation. The reaction of the process was modelled as an equilibrium type, the equilibrium constant of which was estimated using Gibbs Free Energy. From the results obtained, it has been established that pure hydrogen can be obtained from a plant comprising of a mixer, a reactor (with approximately 80.07% conversion of the reactants), a separator and two heat exchangers based on the fact that the mole fraction, the mass fraction and the volume fraction of hydrogen obtained from the simulation carried out when carbon monoxide and steam were passed into the process plant at room temperature (25 °C) and boiling temperature of water (100 °C), respectively under atmospheric pressure was approximately 1.

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da Cunha, Guilherme Pereira, José Luiz de Medeiros, and Ofélia de Queiroz Fernandes Araújo. "Technical Evaluation of the Applicability of Gas-Liquid Membrane Contactors for CO₂ Removal from CO₂ Rich Natural Gas Streams in Offshore Rigs." Materials Science Forum 965 (July 2019): 29–38. http://dx.doi.org/10.4028/www.scientific.net/msf.965.29.

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This work aimed to fulfill a technical evaluation of the applicability of gas-liquid membrane contactors (GLMC) to remove CO2 from CO2 rich natural gas in offshore rigs. For this purpose, a simulation case in HYSYS 8.8 (AspenTech) was performed to remove CO2 from a natural gas stream with concentration of 40% mol CO2 using an aqueous solution of monoethanolamine (MEA) 30% w/w. GLMC unit operation is not available in HYSYS, though. Hence, it was necessary to develop a mathematical model based on log-mean of differences of CO2 fugacities in both phases. Moreover, a GLMC Unit Operation Extension (UOE) was created for GLMC units to run in the process simulator HYSYS 8.8 using its thermodynamic infrastructure. The developed GLMC unit operation extension performed accordingly to the expected behavior. For a gas feed flow rate of 5 MMNm3/d (typical from FPSO's), the calculated total GLMC mass transfer area was 1,986 m2, which requires 14 GLMC modules. Consequently, this operation showed to be a feasible option for CO2 removal in natural gas conditioning on offshore rigs. The heat ratio in the reboilers of CO2 stripping columns was found to be 167 kJ/mol, compatible with data found in the literature of CO2-MEA-H2O systems.

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BELHOCINE, Amel, Riad BENDIB, and Youcef ZENNIR. "Simulation and Analysis of a Petrochemical Process (Deethanizer Column- MLE field) using HYSYS Aspen Simulator." Algerian Journal of Signals and Systems 5, no. 2 (June 15, 2020): 86–91. http://dx.doi.org/10.51485/ajss.v5i2.101.

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Natural gas industry has a great strategic and economic importance; it becomes one of the most attractive business opportunities in the petroleum and petrochemical field. In order to produce high quality gas, many companies all over the world including Algeria create many plants for natural gas processing to clean raw natural gas, by using separation unites and other services to get a product that respect the commercial specifications. Natural gas fractions are separated by distillation column in our case is called deethanizer tower. In this work a dynamic simulation study of deethanizer column is developed and implemented in HYSYS simulator. Simulation results prove that the HYSYS is a powerful tool to simulate industrial processes such that the simulated results are close to the real ones.

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Zainal-Abidin, Mardhati, Nooryusmiza Yusoff, and Khairiyah Mohd Siraj. "A Taguchi-SQP Approach for Minimizing Energy per Unit Diesel Production at Crude Distillation Unit." Advanced Materials Research 917 (June 2014): 220–31. http://dx.doi.org/10.4028/www.scientific.net/amr.917.220.

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Crude distillation unit (CDU) is one of the largest energy consumer units in a refinery. It consumes around 35-40% of the total process energy in refinery. This paper presents a systematic approach for selecting optimization variables using Taguchi method. These variables are subsequently employed in minimizing energy consumption per unit diesel production at CDU. A steady state model of the CDU was developed under the HYSYS 7.2 environment and utilized to demonstrate the efficacy of this method. Optimum energy consumption per unit diesel production obtained from Taguchi were validated by comparing the results with those obtained from HYSYS built-in SQP solver. The results reveal that the combination of Taguchi and SQP solver can reduce CPU time for optimization purposes.

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Arkan Jasim Hadi and Arkan Jasim Hadi. "GAS-LIQUID EQUILIBRIUM PREDICTION OF CO2-ETHANOL SYSTEM AT MODERATE PRESSURES AND DIFFERENT TEMPERATURES." Diyala Journal of Engineering Sciences 3, no. 1 (June 1, 2010): 90–105. http://dx.doi.org/10.24237/djes.2010.03107.

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In this work, a thermodynamic model for the prediction of gas-liquid equilibrium at moderate pressures (up to 19 bar) and different temperatures (288-323 K) for the binary system of carbon dioxide (1)-ethanol (2) is established using Soave-Redlich-Kwong equation of state (SRK-EOS), Peng-Robenson equation of state (PR-EOS), and HYSYS program with same equations of state. Three different mixing rules were used to show the effect of the type of mixing rule. A comparison of experimental phase equilibrium data in the literature with the predicted results showed very good representation for some mixing rules and good for the others, also the comparison with the results obtained using simulation on HYSYS program exhibits good agreement up to 11 bar with a deviation of 4*10-4 - 2*10-4 %.

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Patti, Miguel A., Diego Feroldi, and David Zumoffen. "Control predictivo aplicado a un proceso de producción continua de biodiésel." Revista Iberoamericana de Automática e Informática industrial 16, no. 3 (June 12, 2019): 296. http://dx.doi.org/10.4995/riai.2019.10696.

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En este trabajo se presenta el desarrollo e implementación de un controlador MPC para el área de neutralización y lavado de una planta de producción de biodiésel la cual se encuentra modelada en forma rigurosa mediante el software Aspen Hysys. Se propone una estrategia de control avanzado debido a la propia naturaleza multivariable del proceso, las múltiples restricciones de operación y los diferentes requisitos de calidad del producto. El desarrollo e implementación del controlador se realiza en el entorno computacional de Matlab y mediante protocolos de comunicación específicos se logra la interacción con Aspen Hysys. Se utilizaron diversos escenarios para verificar el correcto funcionamiento de la estrategia de control propuesta y los resultados se comparan con otras estrategias de control existentes en la literatura.

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Morenov, Valentin, Ekaterina Leusheva, Alexander Lavrik, Anna Lavrik, and George Buslaev. "Gas-Fueled Binary Energy System with Low-Boiling Working Fluid for Enhanced Power Generation." Energies 15, no. 7 (March 31, 2022): 2551. http://dx.doi.org/10.3390/en15072551.

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This article discusses methods of enhanced power generation using a binary power system with low-boiling fluid as an intermediate energy carrier. The binary power system consists of micro-gas and steam power units and is intended for remote standalone power supply. Trifluotrichloroethane was considered as the working agent of the binary cycle. The developed system was modeled by two parts in MATLAB Simulink and Aspen HYSYS. The model in Aspen HYSYS calculates the energy and material balance of the binary energy system. The model in MATLAB Simulink investigates the operation of power electronics in the energy system for quality power generation. The results of the simulation show that the efficiency of power generation in the range of 100 kW in the developed system with micro-turbine power units reaches 50%.

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Safari, Ayoub. "Automation of control degrees of freedom in Aspen Hysys." IFAC Journal of Systems and Control 19 (March 2022): 100187. http://dx.doi.org/10.1016/j.ifacsc.2022.100187.

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Taimoor, Aqeel Ahmad. "Virtualization of the process control laboratory using ASPEN HYSYS." Computer Applications in Engineering Education 24, no. 6 (September 7, 2016): 887–98. http://dx.doi.org/10.1002/cae.21758.

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Johnson, Engr Nnadikwe, Odiki Esther E., Ikputu Woyengikuro Hilary, and Ewelike Asterius Dozie. "Design Simulation Analysis and Enhancement of Nigeria Biogas to Connect That of Natural Gas Netting Capacity and Model." International Journal for Research in Applied Science and Engineering Technology 10, no. 5 (May 31, 2022): 516–21. http://dx.doi.org/10.22214/ijraset.2022.41453.

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Abstract: In Nigeria, biogas is a viable renewable energy source. This study's goal was to filter raw biogas of acidic gases CO2 and H2S before connecting it to the natural gas netting standard. The biogas acidic gas treatment plant was designed and numerically modelled using Aspen HYSYS 8.6. The simulation's primary goal is to find the optimal operating pressure that can make Nigerian biogas as pure as natural gas. The biogas treatment was carried out in a 20 stage PSA with a tray diameter of 1.7 m and a CO2 content of 0.25, H2S content of 0.0004, temperature of 30 C, pressure of 1.1 bar, flow rate of 13 m3 /h, and DEA concentration of 0.3. A PSA operating pressure of 5 bars is necessary to achieve 95% pure methane biogas. Keywords: Nigerian biogas; Methane enhancing; Aspen HYSYS; Biogas purification

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Korotkova, T. G., and G. I. Kasyanov. "Analysis of the rectifying separation of H2 O–D2 O mixture into light and heavy water by means of mathematical modeling." Fine Chemical Technologies 17, no. 3 (July 31, 2022): 189–200. http://dx.doi.org/10.32362/2410-6593-2022-17-3-189-200.

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Objectives. To apply an analytical method for the calculation of a distillation column for the production of D2O at a two-column Kuhn installation operating under vacuum: to simulate the Kuhn installation in the Hysys software; and to compare experimental and calculated data.Methods. Analytical method for the calculation of distillation columns “from stage to stage,” from the lower theoretical separation stage (TSS) to the upper stage. This method is based on phase equilibrium at the TSS with known data of input flows and component concentrations in the column bottoms. Hysys was used as modeling software.Results. Comparison of the calculation results with Kuhn’s experimental data testified to the high calculation accuracy of the vapor–liquid phase equilibrium for the H2O–D2O mixture at the TSS. The convergence of the D2O material balance for the entire installation was 0.005%. The identification parameter was the number of the column feed plate. Simulation of the Kuhn installation in the Hysys software showed a qualitative agreement of D2O concentrations in material flows. The UNIQUAC (UNIversal QUAsiChemical) model was used to calculate activity coefficients. The found values of the number of theoretical separation stages (NTSS) in both columns, were 88 and 153 taking into account the reboiler and condenser. This is less than the experimental 295 and 400, respectively. The discrepancy can be explained by the increased phase equilibrium H2O constant in the UNIQUAC model. However, the convergence of the material balance in terms of D2O was high and amounted to 1.38·10−6 %. The absolute error of the found concentrations in material flows did not exceed 0.12 mol %.Conclusions. The results obtained indicated the possible use of the Hysys modeling software when searching for and optimizing the operating mode of the block diagram of a cascade of distillation columns with direct and recycle flows to separate a mixture of water into light and heavy water. The final results obtained with regard to the operating mode, inlet and outlet material flows (flow rate, composition, temperature, and pressure drop across the column) are recommended for use in the analytical program for the calculation of the distillation column to refine the NTSS and distribution profile of the concentrations of the H2O and D2O components along the height of the column.

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Lim, Seungtaek, and Hoseang Lee. "Analysis of Seawater Desalination Performance by Applying Multi-effect Evaporator Using HYSYS." Journal of the Korean Society for Marine Environment & Energy 24, no. 3 (August 25, 2021): 91–99. http://dx.doi.org/10.7846/jkosmee.2021.24.3.91.

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Dermawan, Rizki Kurnia, Rif'an Fathoni, and Anton Irawan. "Pengaruh Komposisi Massa Bahan Baku dan Temperatur pada Steam Reformer terhadap Jumlah Produksi Bio-Hydrogen dengan Menggunakan Software ASPEN HYSYS V.10.0." Jurnal Chemurgy 2, no. 1 (October 15, 2018): 24. http://dx.doi.org/10.30872/cmg.v2i1.1634.

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Proses pada pabrik bio hidrogen dari bio oil terbagi menjadi beberapa unit, yaitu unit dehidrooksigenasi, unit pemisahan, unit steam reforming, unit water gas shift, dan unit pemurnian. Penelitian ini menjelaskan tentangpengaruh perbandingan komposisi massa metana (CH4) dengan steam (H2O) serta pengaruh perbedaan temperatur pada unit steam methane reforming untuk melihat pengaruh pada produksi bio hidrogen. Penelitian ini dikerjakan menggunakan software simulasi proses Aspen Hysys v.10.0. Dengan menggunakan variabel temperatur pada steam reformer (800 °C, 850 °C, 900 °C, 950 °C, 1000 °C) dan variabel perbandingan komposisi massa steam dengan methane (CH4), yaitu 1:2, 1:1,25, 1:3, 1:3,5, 1:4. Dari penelitian yang dilakukan didapatkan pengaruh komposisi steam dan metana berbanding lurus dengan jumlah bio hidrogen yang dihasilkan. Serta, pengaruh perbedaan temperatur pada reaktor steam reformer berbanding lurus dengan jumlah produksi hidrogen. Dari hasil penelitian didapatkan jumlah produksi bio hidrogen terbaik 1300 kg/jam.Kata kunci: Aspen HYSYS, Bio Oil, Bio Hidrogen

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Abdulla, Thaer A. "Process Simulation Analysis of HF Stripping Column using HYSYS Process Simulator." Tikrit Journal of Engineering Sciences 17, no. 2 (June 30, 2010): 87–96. http://dx.doi.org/10.25130/tjes.17.2.08.

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HYSYS process simulator is used for the analysis of existing HF stripping column in LAB plant (Arab Detergent Company, Baiji-Iraq). Simulated column performance and profiles curves are constructed. The variables considered are the thermodynamic model option, bottom temperature, feed temperature, and column profiles for the temperature, vapor flow rate, liquid flow rate and composition. The five thermodynamic models options used (Margules, UNIQUAC, van laar, Antoine, and Zudkevitch-Joffee), affecting the results within (0.1-58%) variation for the most cases. The simulated results show that about 4% of paraffin (C10 & C11) presents at the top stream, which may cause a problem in the LAB production plant. The major variations were noticed for the total top vapor flow rate with bottom temperature and with feed composition. The column profiles maintain fairly constants from tray 5 to tray 18. The study gives evidence about a successful simulation with HYSYS because the results correspond with the real plant operation data.

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Muhsin, Wissam, and Jie Zhang. "Multi-Objective Optimization of a Crude Oil Hydrotreating Process with a Crude Distillation Unit Based on Bootstrap Aggregated Neural Network Models." Processes 10, no. 8 (July 22, 2022): 1438. http://dx.doi.org/10.3390/pr10081438.

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This paper presents the multi-objective optimization of a crude oil hydrotreating (HDT) process with a crude atmospheric distillation unit using data-driven models based on bootstrap aggregated neural networks. Hydrotreating of the whole crude oil has economic benefit compared to the conventional hydrotreating of individual oil products. In order to overcome the difficulty in developing accurate mechanistic models and the computational burden of utilizing such models in optimization, bootstrap aggregated neural networks are utilized to develop reliable data-driven models for this process. Reliable optimal process operating conditions are derived by solving a multi-objective optimization problem incorporating minimization of the widths of model prediction confidence bounds as additional objectives. The multi-objective optimization problem is solved using the goal-attainment method. The proposed method is demonstrated on the HDT of crude oil with crude distillation unit simulated using Aspen HYSYS. Validation of the optimization results using Aspen HYSYS simulation demonstrates that the proposed technique is effective.

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Variny, Miroslav, Dominika Jediná, and Patrik Furda. "Comment on Hamayun et al. Evaluation of Two-Column Air Separation Processes Based on Exergy Analysis. Energies 2020, 13, 6361." Energies 14, no. 20 (October 9, 2021): 6443. http://dx.doi.org/10.3390/en14206443.

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Oxygen production from air belongs to energy-intense processes and, as a result, possibilities for its decrease are a frequent topic of optimization studies, often performed with simulation software such as Aspen Plus or Aspen HYSYS. To obtain veritable results and sound solutions, a suitable calculation method hand in hand with justified assumptions and simplifications should form the base of any such studies. Thus, an analysis of the study by Hamayun et al., Energies 2020, 13, 6361, has been performed, and several weak spots of the study, including oversimplified assumptions, improper selection of a thermodynamic package for simulation and omission of certain technological aspects relevant for energy consumption optimization studies, were identified. For each of the weak spots, a recommendation based on good praxis and relevant scientific literature is provided, and general recommendations are formulated with the hope that this comment will aid all researchers utilizing Aspen Plus and Aspen HYSYS software in their work.

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Novia, Jefry Muliady, and Agung Prabowo. "Simulasi evaporasi sweet water di unit evaporasi di unit produksi fatty acid menggunakan Hysys." Jurnal Teknik Kimia 25, no. 2 (July 1, 2019): 36–42. http://dx.doi.org/10.36706/jtk.v25i2.10.

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Dalam proses pengolahan sweet water yang akan menjadi gliserin di industri oleochemicalakan melalui tahapan proses evaporasi. Proses evaporasi ini akan mempengaruhi dari %gliserin yang akan dihasilkan, semakin baik proses evaporasi maka akan semakin tinggi %gliserin yang didapatkan. Kegagalan dari proses evaporasi akan mengakibatkan kualitasdari % gliserin yang menurun dan tidak sesuai dengan mutu produk gliserin yang telahditetapkan oleh industri oleochemical. HYSYS merupakan program untuk mensimulasikanproses didalam suatu pabrik. Berdasarkan simulasi HYSYS, dapat diketahui mass flowsteam yang digunakan secara praktek sebesar 3.518 kg/h. Berdasarkan operasi praktek, nilaitotal gliserin pada setiap stage adalah balance. Tidak ada gliserin yang teruapkan. Stage Imemiliki performansi penguapan air paling tinggi yaitu 72.558%, sementara stage II danstage III hanya 3,756% dan 0,079%. Steam bertekanan lebih tinggi akan menghasilkan heatflow yang lebih tinggi pada pemanasan di EX742.01. Steam bertekanan yang lebih tinggiakan menghasilkan fraksi massa dan temperatur gliserin yang lebih tinggi pada produkakhir crude glycerine. Penggunaan steam yang bertekanan lebih tinggi tidak mempengaruhinilai total gliserin yang dihasilkan sebagai produk crude glycerine.

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Zein, Sharif H., Ali A. Hussain, Osman Y. Yansaneh, and A. A. Jalil. "Modelling and Simulation of Dissolution/Reprecipitation Technique for Low-Density Polyethene Using Solvent/Non-Solvent System." Processes 10, no. 11 (November 14, 2022): 2387. http://dx.doi.org/10.3390/pr10112387.

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The global production and consumption of plastics have continued to increase. Plastics degrade slowly, causing persistent environmental pollution Developed waste plastic recycling methods are discussed in this report, with a focus on the dissolution/reprecipitation technique to restore low-density polyethene (LDPE) wastes. Aspen HYSYS is used to simulate the recycling of waste LDPE. Turpentine/petroleum ether (TURP/PetE) is chosen as solvent/non-solvent with fractions proved efficient through laboratory experiments. PetE is selected to be the non-solvent used for the precipitation of pure LDPE. The feedstock is assumed to be LDPE products containing additives such as dye. The simulation model developed estimated a pure LDPE precipitate recovery with a composition of 99% LDPE with a flowrate of 1024 tonnes per year. In addition, Aspen HYSYS could approximate a rough cost estimate that includes utility cost, installation cost and other factors. Technical challenges were eliminated, and several assumptions were taken into consideration to be able to simulate the process.

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Al-Ali, Hussein. "Process simulation for crude oil stabilization by using Aspen Hysys." Upstream Oil and Gas Technology 7 (September 2021): 100039. http://dx.doi.org/10.1016/j.upstre.2021.100039.

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Ekwonu, M. C., S. Perry, and E. A. Oyedoh. "Modelling and Simulation of Gas Engines U sing Aspen HYSYS." Journal of Engineering Science and Technology Review 6, no. 3 (June 2013): 1–4. http://dx.doi.org/10.25103/jestr.063.01.

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Yerolla, Raju, Ramzal C. A. Muhammed, Y. Naseef, and Chandra Shekar Besta. "SIMULATION OF CRYOGENIC DISTILLATION OF ATMOSPHERIC AIR USING ASPEN HYSYS." IFAC-PapersOnLine 55, no. 1 (2022): 860–65. http://dx.doi.org/10.1016/j.ifacol.2022.04.141.

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34

Joshi, D. M., and H. K. Patel. "Analysis of Cryogenic Cycle with Process Modeling Tool: Aspen HYSYS." Journal of Instrumentation 10, no. 10 (October 2, 2015): T10001. http://dx.doi.org/10.1088/1748-0221/10/10/t10001.

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35

Rao, K. Nagamalleswara, and A. Babu Ponnusami. "Design of high pressure vessels using Aspen HYSYS blowdown analysis." International Journal of Environment and Waste Management 22, no. 1/2/3/4 (2018): 272. http://dx.doi.org/10.1504/ijewm.2018.094113.

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Nagamalleswara Rao, K., and A. Babu Ponnusami. "Design of high pressure vessels using Aspen HYSYS blowdown analysis." International Journal of Environment and Waste Management 22, no. 1/2/3/4 (2018): 272. http://dx.doi.org/10.1504/ijewm.2018.10015281.

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37

Saadi, Takwa, Mohammed-Razak Jeday, and Jean-Noël Jaubert. "Exergetic analysis of an LPG production plant using HYSYS software." Energy Procedia 157 (January 2019): 1385–90. http://dx.doi.org/10.1016/j.egypro.2018.11.303.

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38

Younessi Sinaki, S., F. Atabi, M. H. Panjeshahi, and F. Moattar. "Post-combustion of mazut with CO2 capture using aspen hysys." Petroleum Science and Technology 37, no. 20 (June 22, 2019): 2122–27. http://dx.doi.org/10.1080/10916466.2018.1471492.

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Liu, Zuming, and Iftekhar A. Karimi. "Simulating combined cycle gas turbine power plants in Aspen HYSYS." Energy Conversion and Management 171 (September 2018): 1213–25. http://dx.doi.org/10.1016/j.enconman.2018.06.049.

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Giwa, Abdulwahab, and Kenya Samuel Umanah. "Optimization of Biodiesel Production from Used Cooking Oil: Aspen HYSYS Simulation and Experimental Validation." International Journal of Engineering Research in Africa 43 (June 2019): 38–48. http://dx.doi.org/10.4028/www.scientific.net/jera.43.38.

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Due to the awareness of adverse effects of conventional fuels to environment and the frequent rise in crude oil price, the need for sustainable and environmentally friendly alternative source of energy has gained importance in recent years. This alternative has been identified to be biofuel, one of which is biodiesel. As such, this work was carried out to contribute to the development of biodiesel. The aim was accomplished by employing Design Expert, based on the chosen operating factors (reaction temperature and methanol-to-oil ratio), to design experiments carried out for the production of biodiesel using used cooking oil and methanol in the presence of alkaline catalyst. After carrying out the experiments using the design parameters generated, the results were analysed, and a model equation was developed for the system. Furthermore, the model equation was used to optimize the process using Excel Solver to obtain a temperature, a methanol-to-oil ratio and a yield of 63.45 °C, 3 and 59.32 as the optimum values, respectively. The optimum parameters estimated were validated experimentally and with the Aspen HYSYS model of the process that was also developed. The results obtained using the design factors showed that the factors considered were having effects on the yield of biodiesel. Also, the results of the experimental validation carried out with the optimum parameters obtained with the aid of Excel Solver were found to compare very well with those obtained from the simulation of the developed Aspen HYSYS model of the biodiesel production because the errors were estimated to be less than 5%. Therefore, the developed Aspen HYSYS model of biodiesel production of this work was able to represent the process very well and can be used for further studies on the process.

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Lestari, Indah, Fika Dwi Oktavia, Ari Susandy Sanjaya, and Yazid Bindar. "SIMULASI PROSES BIOMETIL AKRILAT-AIR MENGGUNAKAN METODE PRESSURE SWING DISTILLATION PADA ASPEN HYSYS V8.8." Jurnal Chemurgy 3, no. 2 (December 20, 2019): 22. http://dx.doi.org/10.30872/cmg.v3i2.3580.

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Bio-Metil akrilat akan membentuk campuran azeotrop dengan Air sehingga sulit dipisahkan dengan distilasibiasa. Terdapat dua cara untuk memisahkan campuran azeotrop tersebut yaitu dengan menggunakan distilasiekstraktif (penambahan pentana yang berasal dari bahan fosil) dan menggunakan distilasi bertingkat dimanatekanan masing-masing kolom berbeda (Pressure Swing Distillation). Dalam metode Pressure Swing Distillation dilakukan dengan menggunakan kolom dalam dua tahap, Low Pressure Distillation (101,3 kPa) dan High Pressure Distillation (500 kPa). Untuk memperoleh simulasi yang tepat maka digunakan Fluid Packages PR-Twu pada Aspen Hysys V8.8. Pada tahap pertama, hasil reaksi diumpankan ke kolom distilasi pada tekanan atmosfer untuk memisahkan antara Bio-Metil akrilat dan Air sehingga didapatkan pada fase atas distilasi sebanyak 63,04% Biometil akrilat dan hanya sedikit Air, Bio-Metanol dan Bio-Asam Akrilat yang masih terkandung. Tahap kedua, menggunakan tekanan yang lebih tinggi yaitu 500 kPa yangdiumpankan ke Reboiler sehingga pada tahap kedua didapatkan kemurnian Bio-Metil akrilat sebanyak 99,99% melebihi menggunakan distilasi ekstraktif hanya mendapatkan kemurnian Bio-Metil akrilat 96% (US Patent 2916512).Kata kunci : Pressure Swing Distillation; Biometanol; PR-Twu; Kemurnian; Hysys

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El-Gharbawy, Muhammad, Walaa Shehata, and Fatima Gad. "Ammonia converter Simulation and Optimization Based on an Innovative Correlation for (KP) Prediction." Journal of University of Shanghai for Science and Technology 23, no. 12 (December 20, 2021): 323–38. http://dx.doi.org/10.51201/jusst/21/121034.

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In this paper, the simulation and optimization of an industrial ammonia synthesis reactor is illustrated. The converter under study is of a vertical design, equipped with three radial-flow catalyst beds with inter-stage cooling and two quenching points. For building the model, a modified kinetic equation of ammonia synthesis reaction, based on Temkin- Pyzhev equation and an innovative correlation for (KP) prediction, was developed in suitable form for the implementation in Aspen HYSYS plug flow reactor using the spreadsheet embedded in the software with the introduction of some invented simulation techniques. A new parameter, which is a function of (T, P and α), was introduced into the reaction rate equation to account for the variation of KP with pressure. The simulation model is able to describe the converter behavior with acceptable accuracy. A case study was done, using Aspen HYSYS Optimizer, illustrated the optimum reactor temperature profile, after 12 years of operation, to achieve maximum production. The result predicts an increase of 8 tons ammonia per day accompanied with an increase of steam production of 12 tons per day.

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Omran, Aaed j. "Improving Rectification Technology in Daura Refinery Crude Distillation Units by HYSYS." Journal of Petroleum Research and Studies 2, no. 1 (May 5, 2021): 42–58. http://dx.doi.org/10.52716/jprs.v2i1.32.

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It is well known that the capacity of crude distillation units in any refinery reflect the capacity of refinery itself, and that is why because we consider that these units the first stage and all other units such as vacuum distillation, hydrotreating, reforming, catalytic cracking, and others depend on them. So we devoted our effort to keep these units work with high performance and efficiency. The purpose of this work is to develop crude distillation units in Daura oil refinery, rise their performance level and detect were the weak points are concentrated to overcome. Our work here conducted by simulation program (HYSYS) and consists of two stages, the stage before changing operating conditions and the stage after changing operating conditions and we will discuss each one separately later. From this work we found that these old units contain many mistakes due to long time of operation since the year 1954 and these mistakes are concentrated in miss operation due to absence of daily close monitoring to the operation conditions and product specifications as to gap and overlap conditions and it was really effect badly on rectification efficiency

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Ugwuodo, C. B., E. C. Ugwuoke, C. N. Owabor, and S. E. Ogbeide. "A thermodynamic Equilibrium model of Fluidized bed Gasifier using ASPEN HYSYS." International Journal Of Engineering, Business And Management 4, no. 1 (2020): 1–11. http://dx.doi.org/10.22161/ijebm.4.1.1.

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Ahmed Qamar, Rizwan, Asim Mushtaq, Ahmed Ullah, and Zaeem Uddin Ali. "Aspen HYSYS Simulation of CO2 Capture for the Best Amine Solvent." Journal of Advanced Research in Fluid Mechanics and Thermal Sciences 68, no. 2 (March 30, 2020): 124–44. http://dx.doi.org/10.37934/arfmts.68.2.124144.

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Arul, M., M. Dinesh Kumar, and Anand Ramanathan. "Aspen HYSYS simulation of biomass pyrolysis for the production of methanol." IOP Conference Series: Earth and Environmental Science 312 (October 2, 2019): 012015. http://dx.doi.org/10.1088/1755-1315/312/1/012015.

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Nabgan, Walid, Tuan Amran Tuan Abdullah, Bahador Nabgan, Adnan Ripin, Kamarizan Bin Kidam, Ibrahim Saeh, and Kamal Moghadamian. "A Simulation of Claus Process Via Aspen Hysys for Sulfur Recovery." Chemical Product and Process Modeling 11, no. 4 (December 1, 2016): 273–78. http://dx.doi.org/10.1515/cppm-2016-0019.

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Abstract In refineries, due to the environmental pollutions, sulfur content in petroleum need be reduced. The incineration process is used for sulfur recovery system which is not friendly process to the environment and needs high temperature. This actual process exhaust high amount of SO2 from the incinerator stack to the environment. The Claus process is the best method to recover sulfur from acid gases that contain hydrogen sulfide. The particular reaction for sulfur removal from sour gas is hydrogen sulfide (H2S) sulfur dioxide (SO2) reformation (2H2S+O2=S2+2H2O). The aim of this study is to get a simulation that is suitable for the characterization of sulfur recovery units. The experimental design for this study was collected from a petroleum refinery located in Iran. This experimental relation supports us to gather with definite consistency that is normally not available online for such process. Aspen HYSYS v8.8 software was used to simulate the Claus process by reactors and component splitters. The result shows the complete conversion of sour gas to product. The simulation protects the environmental impact by SO2 emission. This behavior can be reproduced by this HYSYS design very well. It was found that the BURNAIR feed composition and molar flow is the only factors which can affect the hydrogen sulfide conversion. The sulfur mole fraction increased only in the range of 0.94 to 0.98 by increasing N2 from 0.7 to 0.9.

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Qeshta, Hanan Jalal, Salaheddin Abuyahya, Priyabrata Pal, and Fawzi Banat. "Sweetening liquefied petroleum gas (LPG): Parametric sensitivity analysis using Aspen HYSYS." Journal of Natural Gas Science and Engineering 26 (September 2015): 1011–17. http://dx.doi.org/10.1016/j.jngse.2015.08.004.

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Zhu, Yuanming, Zhongsheng Hou, Feng Qian, and Wenli Du. "Dual RBFNNs-Based Model-Free Adaptive Control With Aspen HYSYS Simulation." IEEE Transactions on Neural Networks and Learning Systems 28, no. 3 (March 2017): 759–65. http://dx.doi.org/10.1109/tnnls.2016.2522098.

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50

Bond, A. "My view... HYSYS deal hints at future shape of automation industry." Computing and Control Engineering 15, no. 6 (December 1, 2004): 8–9. http://dx.doi.org/10.1049/cce:20040605.

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Journal articles on the topic 'HYSYS'

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