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Journal articles on the topic 'Aspen Hysys'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 April 2022

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1

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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2

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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3

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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4

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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5

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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6

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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7

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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8

Darabi, Mohsen, Mohammad Mohammadiun, Hamid Mohammadiun, Saeed Mortazavi, and Mostafa Montazeri. "Simulation and optimization integrated gasification combined cycle by used aspen hysys and aspen plus." International Journal of Scientific World 3, no. 1 (May 7, 2015): 178. http://dx.doi.org/10.14419/ijsw.v3i1.4583.

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<p>Electricity is an indispensable amenity in present society. Among all those energy resources, coal is readily available all over the world and has risen only moderately in price compared with other fuel sources. As a result, coal-fired power plant remains to be a fundamental element of the world's energy supply. IGCC, abbreviation of Integrated Gasification Combined Cycle, is one of the primary designs for the power-generation market from coal-gasification. This work presents a in the proposed process, diluted hydrogen is combusted in a gas turbine. Heat integration is central to the design. Thus far, the SGR process and the HGD unit are not commercially available. To establish a benchmark. Some thermodynamic inefficiencies were found to shift from the gas turbine to the steam cycle and redox system, while the net efficiency remained almost the same. A process simulation was undertaken, using Aspen Plus and the engineering equation solver (EES).The The model has been developed using Aspen Hysys® and Aspen Plus®. Parts of it have been developed in Matlab, which is mainly used for artificial neural network (ANN) training and parameters estimation. Predicted results of clean gas composition and generated power present a good agreement with industrial data. This study is aimed at obtaining a support tool for optimal solutions assessment of different gasification plant configurations, under different input data sets.</p>

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9

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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10

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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11

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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12

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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13

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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14

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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15

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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16

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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17

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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18

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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<p>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.</p>

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19

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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20

ErikØi, Lars. "Comparison of Aspen HYSYS and Aspen Plus simulation of CO2 Absorption into MEA from Atmospheric Gas." Energy Procedia 23 (2012): 360–69. http://dx.doi.org/10.1016/j.egypro.2012.06.036.

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21

Ziółkowski, Paweł, Paweł Madejski, Milad Amiri, Tomasz Kuś, Kamil Stasiak, Navaneethan Subramanian, Halina Pawlak-Kruczek, Janusz Badur, Łukasz Niedźwiecki, and Dariusz Mikielewicz. "Thermodynamic Analysis of Negative CO2 Emission Power Plant Using Aspen Plus, Aspen Hysys, and Ebsilon Software." Energies 14, no. 19 (October 2, 2021): 6304. http://dx.doi.org/10.3390/en14196304.

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The article presents results of thermodynamic analysis using a zero-dimensional mathematical models of a negative CO2 emission power plant. The developed cycle of a negative CO2 emission power plant allows the production of electricity using gasified sewage sludge as a main fuel. The negative emission can be achieved by the use this type of fuel which is already a “zero-emissive” energy source. Together with carbon capture installation, there is a possibility to decrease CO2 emission below the “zero” level. Developed models of a novel gas cycle which use selected codes allow the prediction of basic parameters of thermodynamic cycles such as output power, efficiency, combustion composition, exhaust temperature, etc. The paper presents results of thermodynamic analysis of two novel cycles, called PDF0 and PFD1, by using different thermodynamic codes. A comparison of results obtained by three different codes offered the chance to verify results because the experimental data are currently not available. The comparison of predictions between three different software in the literature is something new, according to studies made by authors. For gross efficiency (54.74%, 55.18%, and 52.00%), there is a similar relationship for turbine power output (155.9 kW, 157.19 kW, and 148.16 kW). Additionally, the chemical energy rate of the fuel is taken into account, which ultimately results in higher efficiencies for flue gases with increased steam production. A similar trend is assessed for increased CO2 in the flue gas. The developed precise models are particularly important for a carbon capture and storage (CCS) energy system, where relatively new devices mutually cooperate and their thermodynamic parameters affect those devices. Proposed software employs extended a gas–steam turbine cycle to determine the effect of cycle into environment. First of all, it should be stated that there is a slight influence of the software used on the results obtained, but the basic tendencies are the same, which makes it possible to analyze various types of thermodynamic cycles. Secondly, the possibility of a negative CO2 emission power plant and the positive environmental impact of the proposed solution has been demonstrated, which is also a novelty in the area of thermodynamic cycles.

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22

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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23

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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24

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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25

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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26

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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27

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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28

Shankar, N., V. Sivasubramanian, and K. Arunachalam. "Steady state optimization and characterization of crude oil using Aspen HYSYS." Petroleum Science and Technology 34, no. 13 (July 2, 2016): 1187–94. http://dx.doi.org/10.1080/10916466.2016.1190754.

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29

Øi, Lars Erik, Terje Bråthen, Christian Berg, Sven Ketil Brekne, Marius Flatin, Ronny Johnsen, Iselin Grauer Moen, and Erik Thomassen. "Optimization of Configurations for Amine based CO2 Absorption Using Aspen HYSYS." Energy Procedia 51 (2014): 224–33. http://dx.doi.org/10.1016/j.egypro.2014.07.026.

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30

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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31

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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32

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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33

Alshbuki, Ezeddin H., Mufida M. Bey, and Abduraouf ALAmer Mohamed. "Simulation Production of Dimethylether (DME) from Dehydration of Methanol Using Aspen Hysys." Scholars International Journal of Chemistry and Material Sciences 03, no. 02 (February 29, 2020): 13–18. http://dx.doi.org/10.36348/sijcms.2020.v03i02.002.

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34

Sotelo, D., A. Favela-Contreras, C. Lozoya, F. Beltran-Carbajal, G. Dieck-Assad, and C. Sotelo. "Dynamic Simulation of a Crude Oil Distillation Plant Using Aspen-HYSYS®." International Journal of Simulation Modelling 18, no. 2 (June 15, 2019): 229–41. http://dx.doi.org/10.2507/ijsimm18(2)465.

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35

Liu, Zuming, and I. A. Karimi. "Simulation of a combined cycle gas turbine power plant in Aspen HYSYS." Energy Procedia 158 (February 2019): 3620–25. http://dx.doi.org/10.1016/j.egypro.2019.01.901.

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36

Bassyouni, M., Syed Waheed ul Hasan, M. H. Abdel-Aziz, S. M. S. Abdel-hamid, Shahid Naveed, Ahmed Hussain, and Farid Nasir Ani. "Date palm waste gasification in downdraft gasifier and simulation using ASPEN HYSYS." Energy Conversion and Management 88 (December 2014): 693–99. http://dx.doi.org/10.1016/j.enconman.2014.08.061.

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37

Dronov, S. A., A. V. Fedyukhin, V. E. Panarin, A. S. Chernykh, Y. V. Yavorovsky, V. G. Khromchenkov, and A. V. Martynov. "Modelling of autonomous power source for gas distribution station using ASPEN HYSYS." Journal of Physics: Conference Series 1683 (December 2020): 052037. http://dx.doi.org/10.1088/1742-6596/1683/5/052037.

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38

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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Janaun, J., N. H. Kamin, K. H. Wong, H. J. Tham, V. V. Kong, and M. Farajpourlar. "Design and simulation of heat exchangers using Aspen HYSYS, and Aspen exchanger design and rating for paddy drying application." IOP Conference Series: Earth and Environmental Science 36 (June 2016): 012056. http://dx.doi.org/10.1088/1755-1315/36/1/012056.

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Rodrigues, Héllen, and Ana Paula Meneguelo. "Estudo da remoção de H2S utilizando o software de simulação Aspen Hysys®." Latin American Journal of Energy Research 1, no. 1 (June 26, 2014): 65–69. http://dx.doi.org/10.21712/lajer.2014.v1.n1.p65-69.

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Na indústria petrolífera, durante as várias fases do processo de produção e estocagem do petróleo, podem ocorrer cenários em que se observa a presença de sulfeto de hidrogênio (H2S). Com o aumento das exigências ambientais e ocupacionais, a remoção de componentes ácidos, como sulfeto de hidrogênio (H2S), de correntes de hidrocarbonetos gasosos ou líquidos é um processo cada vez mais requerido em muitas etapas da indústria de processamento de petróleo e gás. No auge do desenvolvimento de novos métodos e técnicas capazes de solucionar problemas com o máximo de eficiência possível, visando o menor custo com segurança e o respeito ao meio ambiente, esta pesquisa propõe uma metodologia para a separação do sulfeto de hidrogênio de uma corrente de óleo tratado. Tendo como cenário de análise dados de uma estação de coleta e tratamento de petróleo, esta pesquisa possibilita a avaliação da capacidade de retirada do H2S do óleo por meio de um método simples de separação, baseado em mecanismos físicos. Foram analisadas variáveis, como pressão e temperatura, na redução da solubilidade do H2S no óleo, provocando, consequentemente, sua separação. Nas análises, é utilizado um software comercial de simulação, AspenHysys®, que proporciona a possibilidade de simulações de vários cenários (layouts de planta) e parâmetros operacionais.

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Owolabi, John Olusoji, Olatokunbo Olatunbosun Kila, and Abdulwahab Giwa. "Modelling and Simulation of a Natural Gas Liquid Fractionation System Using Aspen HYSYS." International Journal of Engineering Research in Africa 49 (June 2020): 1–14. http://dx.doi.org/10.4028/www.scientific.net/jera.49.1.

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The global use of natural gas is growing quickly, and this is attributed primarily to its environmental advantage over fossil fuels such as crude oil and coal. This natural gas is usually flared in refineries because extra charges would be incurred in collecting and processing it. A country flares about 800 million standard cubic feet (Mmscf) of gas per day, from approximately 144 gas flare points across the nation, losing a huge amount of money per annum. A liquefied natural gas plant has converted about 5.58 trillion cubic feet (Tcf) of associated gas to exports as liquefied natural gas and natural gas liquids (NGLs), thus helping to reduce gas flaring from upstream companies. Natural gas liquids (NGLs) are major contributors to this economic benefit through petrochemical feedstock for industrial purposes, fuel for residential, commercial and agricultural applications, in addition to using other products as propellant, refrigerant and gasoline blending. To contribute to the technology of natural gas liquid system, in this work, a fractionation system has been modelled and simulated using Aspen HYSYS to determine the status of processes involved and the compositions of the NGLs. The results obtained revealed that each of methane, ethane, propane, iso-butane and n-butane could be successfully separated with high purity from natural gas feed stream. Also, it was observed from the validation carried out on the developed model of the system, which was ascertained by its operations that were in line with the theoretical principles of separation involved in the plant, that it can be used for further analyses of the system.

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Al-Lagtah, Nasir M. A., Sultan Al-Habsi, and Sagheer A. Onaizi. "Optimization and performance improvement of Lekhwair natural gas sweetening plant using Aspen HYSYS." Journal of Natural Gas Science and Engineering 26 (September 2015): 367–81. http://dx.doi.org/10.1016/j.jngse.2015.06.030.

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Sunny, Anju, P. A. Solomon, and K. Aparna. "Syngas production from regasified liquefied natural gas and its simulation using Aspen HYSYS." Journal of Natural Gas Science and Engineering 30 (March 2016): 176–81. http://dx.doi.org/10.1016/j.jngse.2016.02.013.

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Hikmadiyar, R. A., J. P. Sutikno, R. Handogo, Z. Azizah, and A. Hisyam. "Process Dynamic and Control for Nonconventional Column/Rectifier Configuration with Aspen Hysys v10.0." IOP Conference Series: Materials Science and Engineering 543 (June 13, 2019): 012049. http://dx.doi.org/10.1088/1757-899x/543/1/012049.

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Smejkal, Q., and M. Šoóš. "Comparison of computer simulation of reactive distillation using aspen plus and hysys software." Chemical Engineering and Processing: Process Intensification 41, no. 5 (May 2002): 413–18. http://dx.doi.org/10.1016/s0255-2701(01)00160-x.

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Abdurakhman, Y. B., Z. A. Putra, and M. R. Bilad. "Aspen HYSYS Simulation for Biodiesel Production from Waste Cooking Oil using Membrane Reactor." IOP Conference Series: Materials Science and Engineering 180 (March 2017): 012273. http://dx.doi.org/10.1088/1757-899x/180/1/012273.

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Radzuan, M. R. Aliff, T. A. Faizal, A. H. Norfazilah, and Nor Zalina Kasim. "Sustainability assessment of chemical processes via sustainability evaluator in conjunction with Aspen HYSYS." International Journal of Environment and Waste Management 27, no. 2 (2021): 147. http://dx.doi.org/10.1504/ijewm.2021.10034224.

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Kartal, Furkan, and Uğur Özveren. "A comparative study for biomass gasification in bubbling bed gasifier using Aspen HYSYS." Bioresource Technology Reports 13 (February 2021): 100615. http://dx.doi.org/10.1016/j.biteb.2020.100615.

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Radzuan, M. R. Aliff, T. A. Faizal, Nor Zalina Kasim, and A. H. Norfazilah. "Sustainability assessment of chemical processes via sustainability evaluator in conjunction with Aspen HYSYS." International Journal of Environment and Waste Management 27, no. 2 (2021): 147. http://dx.doi.org/10.1504/ijewm.2021.112948.

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