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Journal articles on the topic 'Aspen Plus Simulation'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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1

Tamzysi, Cholila, Muflih Arisa Adnan, Fadilla Noor Rahma, and Arif Hidayat. "Exergy Analysis of Microalgae Thermochemical Conversion using Aspen Plus Simulation." Reaktor 20, no. 4 (December 31, 2020): 166–73. http://dx.doi.org/10.14710/reaktor.20.4.166-173.

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Microalgae is known as the future bioenergy resources due to its unlimited potential and availability. One of the numerous paths to acquire an energy source is gasification, which produce syngas and methane as a hydrocarbon fuel or feedstock product. To set up an efficient gasification plant, several essential information is needed including the effect of oxidizing agent and steam to carbon (S/C) ratio to energy efficiency on certain biomass properties. This paper aims to study the highest exergy possibility on microalgae gasification process by examining the effect of steam and air flowrate independently via ASPEN Plus simulation. The result was validated with experimental data to verify the simulation reliability. It was found that the thermodynamic based simulation is suitable to predict the reactor behavior and acquire an optimum operating condition.Keywords: microalgae; gasification; exergy; simulation

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Mikhin, A. A., and V. V. Sergeev. "Simulation of condensation unit in ASPEN PLUS." Power engineering: research, equipment, technology 21, no. 6 (April 21, 2020): 84–92. http://dx.doi.org/10.30724/1998-9903-2019-21-6-84-92.

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The article discusses the scheme of deep utilization of the heat of flue gases. It has been established that in boiler units operating on natural gas, the only way to significantly improve the use of fuel is to deeply cool the combustion products to a temperature at which it is possible to condense the maximum possible portion of the fumes contained in the gases. To analyze the main energy indicators of the condensing unit and optimize its operating modes, a priority scheme was simulated in Aspen Plus. In this scheme, there are tees, heat exchangers and a reactor (boiler furnace). The configuration of tees (mixers) is carried out by setting the costs or fractions of two flows entering or leaving the element. The boiler furnace is modeled as a Gibbs reactor, which calculates the chemical and thermodynamic equilibrium by minimizing the difference in the Gibbs energy of the products and the starting materials. Using the Aspen Plus computer program, the condensation unit circuit was simulated at the PTVM-100 boiler unit with the specification of the optimal operating parameters of material flows and heat exchange equipment. The calculations show that when using a condensing boiler, a triple energy effect is achieved: the physical heat of the flue gases is used; the latent heat of vaporization released during condensation is used; the condensate released from the flue gases is used.

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Lv, Han, Wei Ting Jiang, and Qun Zhi Zhu. "Organic Rankine Cycle Simulation Based on Aspen Plus." Advanced Materials Research 1070-1072 (December 2014): 1808–11. http://dx.doi.org/10.4028/www.scientific.net/amr.1070-1072.1808.

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Organic Rankine cycle is an effective way to recover low-grade heat energy. In order to improve system performance, for low-temperature waste heat of 120°C and R245fa,R600a,R227ea organic working fluid, using Aspen Plus software conducted simulation by changing the evaporation temperature. Results from these analyses show that decreasing the evaporation temperature, increasing thermal and exergy efficiencies, evaporating pressure, at the same time reduce steam consumption rate.

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Hauck, Maximilian, Stephan Herrmann, and Hartmut Spliethoff. "Simulation of a reversible SOFC with Aspen Plus." International Journal of Hydrogen Energy 42, no. 15 (April 2017): 10329–40. http://dx.doi.org/10.1016/j.ijhydene.2017.01.189.

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5

Al Amoodi, Nahla, Pravin Kannan, Ahmed Al Shoaibi, and C. Srinivasakannan. "ASPEN PLUS SIMULATION OF POLYETHYLENE GASIFICATION UNDER EQUILIBRIUM CONDITIONS." Chemical Engineering Communications 200, no. 7 (July 2013): 977–92. http://dx.doi.org/10.1080/00986445.2012.715108.

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6

Sotudeh-Gharebaagh, R., R. Legros, J. Chaouki, and J. Paris. "Simulation of circulating fluidized bed reactors using ASPEN PLUS." Fuel 77, no. 4 (March 1998): 327–37. http://dx.doi.org/10.1016/s0016-2361(97)00211-1.

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7

Hao, X., M. E. Djatmiko, Y. Y. Xu, Y. I. Wang, J. Chang, and Y. W. Li. "Simulation Analysis of a GTL Process Using Aspen Plus." Chemical Engineering & Technology 31, no. 2 (February 2008): 188–96. http://dx.doi.org/10.1002/ceat.200700336.

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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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Lestinsky, Pavel, and Aloy Palit. "Wood Pyrolysis Using Aspen Plus Simulation and Industrially Applicable Model." GeoScience Engineering 62, no. 1 (March 1, 2016): 11–16. http://dx.doi.org/10.1515/gse-2016-0003.

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Abstract Over the past decades, a great deal of experimental work has been carried out on the development of pyrolysis processes for wood and waste materials. Pyrolysis is an important phenomenon in thermal treatment of wood, therefore, the successful modelling of pyrolysis to predict the rate of volatile evolution is also of great importance. Pyrolysis experiments of waste spruce sawdust were carried out. During the experiment, gaseous products were analysed to determine a change in the gas composition with increasing temperature. Furthermore, the model of pyrolysis was created using Aspen Plus software. Aspects of pyrolysis are discussed with a description of how various temperatures affect the overall reaction rate and the yield of volatile components. The pyrolysis Aspen plus model was compared with the experimental data. It was discovered that the Aspen Plus model, being used by several authors, is not good enough for pyrolysis process description, but it can be used for gasification modelling.

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Sajjad, Mojibul, and Mohammad G. Rasul. "Simulation and Optimization of Solar Desalination Plant Using Aspen Plus Simulation Software." Procedia Engineering 105 (2015): 739–50. http://dx.doi.org/10.1016/j.proeng.2015.05.065.

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11

Chen, Qiu. "Simulation of Citronellal Extraction Tower Based on Aspen Plus Software." Advanced Materials Research 1090 (February 2015): 148–53. http://dx.doi.org/10.4028/www.scientific.net/amr.1090.148.

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Aspen Plus is a simulation system of large-scale generalized flowsheet. It is to describe the chemical process by using a digital model, and to obtain the desired results on the computer by changing various effective conditions. The main component with higher value in citronella oil is high purity citronellal. Due to its boiling point, temperature-sensitive and other issues, the difficulty of distillation process increases. This paper conducts process design and simulation on citronella oil high vacuum distillation process by using Aspen Plus software, obtains the process parameters of citronellal extraction tower, explores the relationship between reflux ratio and the number of theoretical plates, and provides data support for the continuous production of citronellal in citronella oil system.

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Shao, Dan Dan, and Cheng Xi Wang. "Simulation of Process for Preparing Sodium Methoxide Using Aspen Plus." Advanced Materials Research 557-559 (July 2012): 2350–54. http://dx.doi.org/10.4028/www.scientific.net/amr.557-559.2350.

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An equilibrium stage model for preparing sodium methoxide from sodium hydroxide and methanol in a reactive distillation column was developed using Aspen Plus simulator. The simulation was in good agreement with plant data. Effects of bottom-to-overhead feed ratio, content of water in bottom feed and methanol-to-NaOH mass ratio in overhead feed were discussed. The results is of reference value for prediction and optimization of industrial process.

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Xie, Ya’nan, and LI Fu. "Simulation of Coal Water Slurry Gasification based on Aspen Plus." IOP Conference Series: Earth and Environmental Science 545 (July 28, 2020): 012015. http://dx.doi.org/10.1088/1755-1315/545/1/012015.

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Anitha, K., T. Shuwana, and V. R. Kumar. "Simulation of Atmospheric and Vacuum Crude Units Using Aspen Plus." Petroleum Science and Technology 29, no. 18 (July 28, 2011): 1885–94. http://dx.doi.org/10.1080/10916461003663057.

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Atikah, M. S. N., and Razif Harun. "Simulation and Optimization of Chlorella vulgaris Gasification Using Aspen Plus." Process Integration and Optimization for Sustainability 3, no. 3 (February 18, 2019): 349–57. http://dx.doi.org/10.1007/s41660-019-0080-7.

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Lee, Ju-Ho, Moon-Hun Jung, Young-Hyun Kwon, Gang-Woo Lee, and Byung-Hyun Shon. "Simulation of the flue gas treatment processes of an industrial-waste incinerator using Aspen plus." Journal of the Korea Academia-Industrial cooperation Society 10, no. 11 (November 30, 2009): 3246–52. http://dx.doi.org/10.5762/kais.2009.10.11.3246.

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Chen, Qiu, and Lisha Feng. "Simulation Study of Citronellol-geraniol Rectification Tower Based on Aspen Plus Software." MATEC Web of Conferences 267 (2019): 02008. http://dx.doi.org/10.1051/matecconf/201926702008.

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Aspen Plus is a large-scale chemical simulation software based on steady-state chemical simulation, optimization, sensitivity analysis and economic evaluation. It can analyze the planning, research, development and technical reliability of chemical processes. High-purity citronellol and geraniol, the main high-value components of citronella oil, make the rectification and purification process difficult due to their boiling point and heat sensitivity, with high separation cost and poor effect, resulting in low economic benefits. This paper uses Aspen Plus software to estimate the physical properties of citronellol and geraniol system through known structural formula and room temperature boiling point; uses citronellol-geraniol vapor-liquid equilibrium experimental data to select physical properties analytical methods of Aspen Plus software; conducts process design and simulation of the high vacuum separation of citronellol and geraniol by using DSTWU simple simulation tower and RadFrac strict simulation tower respectively, gets the process parameters of citronellol and geraniol distillation tower, checks the separation process, and optimizes the separation conditions, which provide support for using industrial production in the high-purity separation of citronella oil system.

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18

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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19

Mahdi, Taha, Arshad Ahmad, Adnan Ripin, Mohamed Mahmoud Nasef, and Olagoke Oladokun. "Aspen Plus Simulation of Ultrasound Assisted Distillation for Separating Azeotropic Mixture." Advanced Materials Research 1113 (July 2015): 710–14. http://dx.doi.org/10.4028/www.scientific.net/amr.1113.710.

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Earlier works have proved the potentials of altering the vapor liquid equilibrium of azeotropic mixture by sonication phenomena. In this work a mathematical model of a single stage vapor-liquid equilibrium system developed in Aspen Custom Modeler is exported to Aspen Plus to represent one stage of ultrasonic flash distillation (USF). The USF modules are connected serially to mimic a distillation process. As a case study, the separation of ethanol-ethyl acetate mixture is considered. The final targeted composition of 99 mole % of ethyl acetate was achieved when 27 USF modules were used despite the fact that the mixture form azeotrope at 55 mole % ethyl acetate. The results reinforced the anticipated potentials of sonication phenomena in intensifying distillation process to overcome azeotropes, and provide useful insights for the development of a pilot-scaled facility that is currently under development.

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Mahdi, Taha, Arshad Ahmad, Mohamed M. Nasef, and Adnan Ripin. "Simulation and Analysis of Process Behavior of Ultrasonic Distillation System for Separation Azeotropic Mixtures." Applied Mechanics and Materials 625 (September 2014): 677–79. http://dx.doi.org/10.4028/www.scientific.net/amm.625.677.

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The performance of an ultrasonic distillation (USD) system is evaluated in Aspen Plus simulation environment. To facilitate the flowsheet development, a mathematical model of a single stage USD developed using Aspen Custom Modeler software is exported to Aspen Plus process simulator. As a case study, the separation of ethanol-ethyl acetate mixture that is known to form azeotrope 55 mole % of ethyl acetate at minimum boiling point of 71.8oC is considered. Simulation results revealed the achievable purity of ethyl acetate of 99 mole % from azeotropic mixture, thus reinforcing the anticipated potentials of sonication phenomena in intensifying distillation process to overcome azeotropes.

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21

Chen, Hai Ping, Zhong Ping Wang, and Wen Hao Wu. "Simulation of the Multiple Cyclic CCRs Process Based on ASPEN PLUS." Advanced Materials Research 516-517 (May 2012): 195–201. http://dx.doi.org/10.4028/www.scientific.net/amr.516-517.195.

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The carbonate looping process is a promising technology for post-combustion CO2 capture from power plants.CO2 capture is performed in a system of two fluidized bed reactors.In this paper, material and energy of the process have been performed using ASPEN PLUS.The present study focuses on energy recovery of CCRs system and the effect of make-up mass flow on circulating solids mass flow, coal feed to the calciner, and CO2 capture efficiency.

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22

Ong'iro, A. O., V. I. Ugursal, A. M. Al Taweel, and D. K. Blamire. "Simulation of combined cycle power plants using the ASPEN PLUS shell." Heat Recovery Systems and CHP 15, no. 2 (February 1995): 105–13. http://dx.doi.org/10.1016/0890-4332(95)90018-7.

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23

Onarheim, Kristin, Yrjö Solantausta, and Jani Lehto. "Process Simulation Development of Fast Pyrolysis of Wood Using Aspen Plus." Energy & Fuels 29, no. 1 (December 22, 2014): 205–17. http://dx.doi.org/10.1021/ef502023y.

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Liu, Zheyu, Yitian Fang, Shuping Deng, Jiejie Huang, Jiantao Zhao, and Zhonghu Cheng. "Simulation of Pressurized Ash Agglomerating Fluidized Bed Gasifier Using ASPEN PLUS." Energy & Fuels 26, no. 2 (January 19, 2012): 1237–45. http://dx.doi.org/10.1021/ef201620t.

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Quintero, Julián A., and Carlos A. Cardona. "Process Simulation of Fuel Ethanol Production from Lignocellulosics using Aspen Plus." Industrial & Engineering Chemistry Research 50, no. 10 (May 18, 2011): 6205–12. http://dx.doi.org/10.1021/ie101767x.

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A. Kumar, H. Noureddini, Y. Demirel, D. D. Jones, and M. A. Hanna. "Simulation of Corn Stover and Distillers Grains Gasification with Aspen Plus." Transactions of the ASABE 52, no. 6 (2009): 1989–95. http://dx.doi.org/10.13031/2013.29195.

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27

Ravendran, R. R., A. Abdulrazik, and R. Zailan. "Aspen Plus simulation of optimal biogas production in anaerobic digestion process." IOP Conference Series: Materials Science and Engineering 702 (December 7, 2019): 012001. http://dx.doi.org/10.1088/1757-899x/702/1/012001.

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Li, Yanji, Kewei Zou, Tianhua Yang, Rundong Li, and Yong Chi. "Combustible solid waste gasification gas characteristics simulation based on Aspen Plus." Journal of Renewable and Sustainable Energy 5, no. 5 (September 2013): 053113. http://dx.doi.org/10.1063/1.4821519.

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Cao, Wensheng, and Iqbal M. Mujtaba. "Simulation of Vacuum Membrane Distillation Process for Desalination with Aspen Plus." Industrial & Engineering Chemistry Research 54, no. 2 (January 7, 2015): 672–80. http://dx.doi.org/10.1021/ie502874c.

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Sharifian, Seyedmehdi, Michael Harasek, and Bahram Haddadi. "Simulation of Membrane Gas Separation Process Using Aspen Plus® V8.6." Chemical Product and Process Modeling 11, no. 1 (March 1, 2016): 67–72. http://dx.doi.org/10.1515/cppm-2015-0067.

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Abstract Implementing membrane gas separation systems have led to remarkable profits in both processes and products. This study presents the modeling and simulation of membrane gas separation systems using Aspen Plus® V8.6. A FORTRAN user model and a numerical solution procedure have been developed to characterize asymmetric hollow fiber membrane modules. The main benefit of this model is that it can be easily incorporated into a commercial simulator and used as a unit operation model in complex systems. A comparison between the model and the experimental cases at different operation conditions shows that calculated values are in good agreement with measured values. This model is suitable for future developments as well as design and performance analysis of multicomponent gas permeation systems prior to experimental realization.

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Meng, William X., Subhodeep Banerjee, Xiao Zhang, and Ramesh K. Agarwal. "Process simulation of multi-stage chemical-looping combustion using Aspen Plus." Energy 90 (October 2015): 1869–77. http://dx.doi.org/10.1016/j.energy.2015.06.139.

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Nikoo, Mehrdokht B., and Nader Mahinpey. "Simulation of biomass gasification in fluidized bed reactor using ASPEN PLUS." Biomass and Bioenergy 32, no. 12 (December 2008): 1245–54. http://dx.doi.org/10.1016/j.biombioe.2008.02.020.

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Sinurat, F. K., T. B. Sitorus, Taufik Bin Nur, and H. Susilo. "Simulation Analysis of Polymer Electrolyte Membrane Fuel Cell Using Aspen Plus." Journal of Physics: Conference Series 1566 (June 2020): 012024. http://dx.doi.org/10.1088/1742-6596/1566/1/012024.

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Harsono, I., H. Hindarso, and N. Indraswati. "Base case simulation of a semi-batch emulsion copolymerization process: application to styrene/ butadiene system." Jurnal Teknik Kimia Indonesia 4, no. 3 (October 9, 2018): 304. http://dx.doi.org/10.5614/jtki.2005.4.3.6.

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It has been long recognized that emulsion polymerization is a complex heterogeneous process involving transport of monomers, free radicals, and other species between aqueous phase and organic phase. Though there are a number of models available in the literature, most of them deal only with specific aspects in emulsion polymerization and are far from being general. To simulate this complicated process and to achieve an adequate level of understanding, a Polymers Plus software from Aspen Technology. Inc. was used. The objective of this work is to illustrate the principle of use of Polymers Plus, simulate, and analyze the free-radical seeded emulsion copolymerization of styrenebutadiene process model in a semi-batch reactor. The base case simulation can be used to gain process understanding by analyzing how process variables and operating conditions during the course of a semi-batch reactor affect the product quality.Keywords: Polymers Plus, Emulsion Copolymerization, Simulation, Semi Batch Reactor, Styrene/ butadiene AbstrakTelah diketahui sejak lama bahwa polimerisasi emulsi merupakan sebuah proses heterogen yang kompleks, yang meliputi perpindahan monomer, radikal bebas, dan senyawa lainnya dalam fasa air dan fasa organik. Walaupun dalam literatur terdapat berbagai model, sebagian besar hanya membahas tentang aspek-aspek khusus dalam polimerisasi emulsi yang belurn berlaku umum. Untuk melakukan simulasi serta meningkatkan pemahaman tentang proses yang kompleks ini, digunakan perangkat lunak Polymers Plus dari Aspen Technology, Inc. Penelitian ini bertujuan untuk memberikan ilustrasi tentang prinsip penggunaan Polymers Plus serta melakukan simulasi dan analisis tentang model untuk proses kopolimerisasi emulsi styrene-butadiene dengan free radical seeded dalam reaktor semi batch. Simulasi ini dapat digunakan untuk memperoleh pemahaman proses dengan menganalisis pengaruh variabel-variabel proses dan kondisi operasi dalam reaktor semi batch terhadap kualitas produk.Kata Kunci: Polymers Plus, Kopolimerisasi Emulsi, Simulasi, Reaktor Semi Batch, Stiren/ butadien

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Abu Seman, N., and N. Harun. "Simulation of pressurized water scrubbing process for biogas purification using Aspen Plus." IOP Conference Series: Materials Science and Engineering 702 (December 7, 2019): 012040. http://dx.doi.org/10.1088/1757-899x/702/1/012040.

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Hachhach, Mouad, Hanane Akram, Mounir Hanafi, Ouafae Achak, and Tarik Chafik. "Simulation and Sensitivity Analysis of Molybdenum Disulfide Nanoparticle Production Using Aspen Plus." International Journal of Chemical Engineering 2019 (October 28, 2019): 1–8. http://dx.doi.org/10.1155/2019/3953862.

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The sensitivity analysis of molybdenum disulfide nanoparticles synthesis process is studied using Aspen Plus with the aim of investigating the effect of reactants’ amounts on the production of molybdenum disulfide nanoparticles. The adopted approach consists in simulating the synthesis process based on experimental data, obtained at laboratory scale followed by sensitivity analysis with respect to the following precursors: ammonium heptamolybdate, elemental sulfur, and hydrazine used as a reducing agent. The sensitivity analysis revealed that the precursors have more significant impact on the obtained amount of molybdenum disulfide compared to hydrazine. The obtained result showed that the approach adopted in the study might be of interest for further investigation of the process design and scaling-up.

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Acevedo, J. C., F. R. Posso, J. M. Durán, and E. Arenas. "Simulation of the gasification process of palm kernel shell using Aspen PLUS." Journal of Physics: Conference Series 1126 (November 2018): 012010. http://dx.doi.org/10.1088/1742-6596/1126/1/012010.

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Mavukwana, Athi-Enkosi, Kalala Jalama, and Kevin Harding. "Simulation of South African Corncob Gasification with Aspen Plus: A Sensitivity Analysis." Applied Mechanics and Materials 492 (January 2014): 386–91. http://dx.doi.org/10.4028/www.scientific.net/amm.492.386.

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Biomass is one of the significant fuel sources that can potentially contribute to the worlds energy demands. The most used technology that takes advantage of biomass heating value is still direct combustion which still suffers from significant inefficiencies creating therefore, the need for alternative processes to be analyzed. In this study Aspen Plus simulation package was used to develop a model for the gasification of corncob residues. The effects of equivalence ratio (ER) and steam to biomass ratio (SBR) on syngas composition and gasification temperature were investigated. The results showed that ER values of 0.34-0.35 and SBR values of 0.8 - 1 corresponding to a gasifiers temperature of 854-890°C were the optimum conditions for corncobs gasification.

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Yang, Xiuying, Amir Hamidzadeh, Mohammad Ilkhani, Amin Foroughi, Mohammad Javad Esfahani, and Mohsen Motahari-Nezhad. "Aspen plus simulation of heavy oil gasification in a fluidized bed gasifier." Petroleum Science and Technology 34, no. 17-18 (September 16, 2016): 1530–33. http://dx.doi.org/10.1080/10916466.2016.1208227.

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Da Silva Melo, Thafarelly Bismarck, and Brenda Natália Vieira Marcolino. "Sterilization Plant simulation of whole milk UHT Type through the Aspen plus." Revista Brasileira de Pesquisa em Alimentos 6, no. 2 (December 17, 2015): 67. http://dx.doi.org/10.14685/rebrapa.v6i2.3490.

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<p>The milk sterilization process aims to diminish or extinguish the microbial load present in the food in order to reduce possible damage arising of the metabolic processes of microorganisms that might be present in food. The system currently used in milk processing plants have direct injection principle oversaturated steam in a certain volume of milk in order to establish microbiological reduction, then the product is directed to a tank where flash evaporation condensed the steam is taken off after the product part to the homogenizer where fat molecules are broken making the standardized product. In this whole process is used a system called VTIS (Vacum Therm Instant Steriliser) developed by Tetra Pak company that consists of a piece of equipment back to the sterilization of liquid foods. The computational model used the Aspen plus programmable plataform that by means of unit operations allows you to predict the behavior of a process, this plataform lets you interactively vary some elements of the process in order to obtain desired results through the flowsheets of feed compositions and operating conditions. The ASPEN plus enables the realization of sensitivity analysis, generation of graphs and tables, estimation, regression of physic-chemical properties, settings of simulation models the operative data, equipment sizing, cost analysis, and data input sheets of calculations. As a result was able to reproduce a process without the need for costs.</p>

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Ong'iro, Alfred, V. Ismet Ugursal, A. M. Al Taweel, and G. Lajeunesse. "Thermodynamic simulation and evaluation of a steam CHP plant using ASPEN Plus." Applied Thermal Engineering 16, no. 3 (March 1996): 263–71. http://dx.doi.org/10.1016/1359-4311(95)00071-2.

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Rajendran, Karthik, Harshavardhan R. Kankanala, Magnus Lundin, and Mohammad J. Taherzadeh. "A novel process simulation model (PSM) for anaerobic digestion using Aspen Plus." Bioresource Technology 168 (September 2014): 7–13. http://dx.doi.org/10.1016/j.biortech.2014.01.051.

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Tungalag, Azjargal, BongJu Lee, Manoj Yadav, and Olugbenga Akande. "Yield prediction of MSW gasification including minor species through ASPEN plus simulation." Energy 198 (May 2020): 117296. http://dx.doi.org/10.1016/j.energy.2020.117296.

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Wang, Chunhua, Qiang Wang, Xiaoyang Hui, Rong Zong, and Baoqi Shan. "Simulation analysis of R134a/DMF absorption refrigeration system based on Aspen Plus." IOP Conference Series: Earth and Environmental Science 766, no. 1 (June 1, 2021): 012075. http://dx.doi.org/10.1088/1755-1315/766/1/012075.

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Wang, Bin, Kang Bi Luo, Yu Jia, and Hu Ping Li. "Aspen Simulation of Heat Exchange Network for the Conversion System of Sulphuric Acid Made with the Sulphur." Advanced Materials Research 860-863 (December 2013): 762–65. http://dx.doi.org/10.4028/www.scientific.net/amr.860-863.762.

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This paper takes the conversion system of sulphuric acid plant made with the sulphur as research object, utilizes Aspen Plus process simulation software to carry out steady state process simulate for the conversion process, and obtains physical property data of all the process streams; utilizing Aspen Energy Analyzer software, that the minimum heat transfer temperature difference (ΔTmin) determined is 10 °C, the temperature-enthalpy composite curve and the pinch temperatures of hot and cold streams are got under the ΔTmin, the energy consumption of heating utilities reaches zero, and cooling utilities use 45 °C of desalted water. Simulating for heat exchange network with pinch technology and Simulating the matching design of heat exchange network with Aspen Energy Analyzer software, the heat exchange effect is basically as same as the heat exchange network in actual production.

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Bai, Jing Ru, Zhang Bai, Shao Hua Li, and Qing Wang. "Modeling of an Oil Shale Low Temperature Retorting Process by Using Aspen Plus." Advanced Materials Research 608-609 (December 2012): 1459–62. http://dx.doi.org/10.4028/www.scientific.net/amr.608-609.1459.

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In this paper, the feasibility of employing Aspen Plus in the simulation of oil shale retorting would be discussed by modeling of a low temperature retorting process with fischer assay experimental condition. The samples of 4th layer of No.1 deposit and 11th layer of No.2 deposit of Huadian oil shale have been simulated, and draw a comparison between the simulation and determination results of oil content, moisture content, retorting gas yield, semi-coke yield and ultimate analysis. The tolerance between the simulation and determination results is within a reasonable range, which indicate that the process built and the physical method selected are correct and reasonable and would provide reference for building the process of oil shale comprehensive utilization system.

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Chen, Yiwei, Guanliang Ding, and Yakai Bai. "Simplified logistics model and its application in process simulation." Thermal Science, no. 00 (2020): 320. http://dx.doi.org/10.2298/tsci200626320c.

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In order to solve the problem of complex calculation of logistics value in process simulation, based on the parameter characteristics of Aspen Plus, a simplified logistics calculation model is proposed. The comparison with exercom shows that the error of the calculation results in this paper is less than 1%, which verifies the correctness of the model. The calculation model of logistics flow provides convenience for process simulation software Aspen Plus to analyze the simulation process. Based on the logistics calculation model and the "fuel cost" model of thermal economics, a coal-fired boiler of a domestic unit is analyzed. The results show that the heat loss of the boiler mainly occurs in the process of coal decomposition and combustion, followed by the heat exchange process between flue gas and main heat exchange surface. The overall efficiency of the boiler is 46.4%.

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Ma, Zhao Qin, Shu Hao Huo, and Min Su. "Simulation with Aspen Plus and Performance Analysis of LT-MED Seawater Desalination System." Applied Mechanics and Materials 397-400 (September 2013): 948–56. http://dx.doi.org/10.4028/www.scientific.net/amm.397-400.948.

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With Aspen Plus, three simulation models for Low-Temperature Multi-Effect Distillation (LT-MED) seawater desalination system are established in this work, which includes the parallel flow, forward flow and backward flow processes. Performance analysis including the motive steam flow, Gained Output Ratio (GOR) and heat transfer area are conducted as a function of the process type, number of effects, heating steam temperature and the effect NO. for Thermal Vapor Compression (TVC) ejection. Results indicate that the established simulation models are accurate and reliable; the process type, the number of effects and the effect NO. for TVC ejection have a great impact on the performance, while the effect of heating steam temperature on the performance is relatively weaker.

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Abbas, A. H., Shaharin Anwar Sulaiman, Mohmd Shiraz Aris, and M. Fadhil. "An Equilibrium Model of Dewatered Sludge Combustion Using ASPEN PLUS." Applied Mechanics and Materials 695 (November 2014): 495–98. http://dx.doi.org/10.4028/www.scientific.net/amm.695.495.

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.Dewatered sludge is one of the largest contributors of waste materials in Malaysia and it indirectly elevates local environmental problems. The use of this waste material as an alternative fuel can be an effective solution as it not only contributes as an energy source but also solves environmental issues related to sludge disposal. In this study Advanced System for Process Engineering (ASPEN) was employed to simulate the combustion reactions of dewatered sludge based on the minimization of total Gibbs energy of the system. Analysis of combustion products was carried out and compared with previous works. The simulation results showed good agreement with the results obtained by other authors. The results showed that NOx and SO2emission for poultry sludge is lower than that of coal and sewage sludge. Sensitivity analysis to study the effect of changing reactor temperature and excess air on the products concentration suggested that the operational parameters would be highly influential on the combustion products.

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Wang, Qing, Hai Bo Long, Hong Peng Liu, and Zhi Feng Wang. "Process Simulation of Oil Shale Circulating Fluidized Bed Boiler Based on Aspen Plus." Advanced Materials Research 614-615 (December 2012): 49–52. http://dx.doi.org/10.4028/www.scientific.net/amr.614-615.49.

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A model for the combustion of oil shale in the 65t/h circulating fluidized bed (CFB) boiler was developed, consisting of oil shale combustion, steam-water and ash circulation system, calculating the O2 and RO2 content of flue gas emission under three kinds of oil shale combustion in 65t/h CFB boiler. The calculated results indicate that the simulation values are consistent with the experimental values. Effect of boiler load on the temperature of furnace, flue gas emission, inlet and outlet flue gas of economizer was discussed based on the model. Boiler load on the increase results in a increase in temperature of furnace, flue gas emission, inlet and outlet flue gas of economizer. The main performance parameters of 65t/h oil shale CFB boiler system were discussed and preliminarily predicted by the model.

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