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Journal articles on the topic 'Aspen Plus Simulation'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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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 (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 i

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Barbero-Sánchez, Jaime, Alicia Megía-Ortega, Víctor R. Ferro, and Jose-Luis Valverde. "Exploring Alternatives to Create Digital Twins from and for Process Simulation." Journal of Computer Science Research 6, no. 1 (2024): 16–30. http://dx.doi.org/10.30564/jcsr.v6i1.6168.

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In this work, Digital Twins based on Neural Networks for the steady state production of styrene were generated. Thus, both the Aspen Technology AI Model Builder (alternative 1) and a homemade MS Excel VBA code connected to Aspen HYSYS and Aspen Plus (alternative 2) were used with this same aim. The raw data used for generating the Digital Twins were obtained from process simulations using Aspen HYSYS and/or Aspen Plus, which were connected through a recycle-like stream via automation for solving the entire simulation flowsheet. Aspen HYSYS was used for solving the pre-heating, reaction, and st

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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 (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 configur

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4

Tasleem, Shuwana. "Intensification of an Irreversible Process Using Reactive Distillation – Simulation Studies." International Journal for Research in Applied Science and Engineering Technology 9, no. 11 (2021): 625–34. http://dx.doi.org/10.22214/ijraset.2021.38870.

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Abstract: In this study, a steady state simulation of the process for the production of xylene isomers by reactive distillation was performed using Aspen Plus software. The simulations were aimed studying the parameters like number of stages in the different sections of the RD column, reflux ratio, and the boil-up ratio, which maximize the conversion of Toluene and improves the selectivity and yield of the p- Xylene. Keywords: Reactive Distillation, Process Intensification, Toluene Methylation, Aspen Plus, Simulation Studies,

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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 (2017): 10329–40. http://dx.doi.org/10.1016/j.ijhydene.2017.01.189.

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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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Hasan, Muhammad Syukri, Widayat Widayat, and Sri Widodo Agung Suedi. "Coconut Waste Pyrolysis Simulation Using Aspen Plus Software." Techno Jurnal Penelitian 12, no. 1 (2023): 1–10. http://dx.doi.org/10.33387/tjp.v12i1.5263.

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8

Jinjin Wang, Jinjin Wang, Wangbin Chen Wangbin Chen, Manlin Zhang Manlin Zhang, Bin Pan Bin Pan, Xiaorong Wang Xiaorong Wang, and Bin Wang Bin Wang. "Simulation and Analysis of Propylene Coordination Polymerization Process Based on Aspen (polymer) plus." Journal of the chemical society of pakistan 42, no. 1 (2020): 62. http://dx.doi.org/10.52568/000615.

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Based on the industrial conditions of coordination polymerization of polypropylene, Polymer plus was used to simulate and analyze the coordination process of propylene. The effects of the amount of propane, main catalyst (TiCl4), chain transfer agent (hydrogen), shielding gas (nitrogen), and monomer (propylene) on the number average degree of polymerization (DPN), the weight average degree of polymerization (DPW), the number average molecular weight (MWN), the weight average molecular weight (MWW), the polydispersity index (PDI), and the throughput of polypropylene were explored to guide actua

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Jinjin Wang, Jinjin Wang, Wangbin Chen Wangbin Chen, Manlin Zhang Manlin Zhang, Bin Pan Bin Pan, Xiaorong Wang Xiaorong Wang, and Bin Wang Bin Wang. "Simulation and Analysis of Propylene Coordination Polymerization Process Based on Aspen (polymer) plus." Journal of the chemical society of pakistan 42, no. 1 (2020): 62. http://dx.doi.org/10.52568/000615/jcsp/42.01.2020.

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Based on the industrial conditions of coordination polymerization of polypropylene, Polymer plus was used to simulate and analyze the coordination process of propylene. The effects of the amount of propane, main catalyst (TiCl4), chain transfer agent (hydrogen), shielding gas (nitrogen), and monomer (propylene) on the number average degree of polymerization (DPN), the weight average degree of polymerization (DPW), the number average molecular weight (MWN), the weight average molecular weight (MWW), the polydispersity index (PDI), and the throughput of polypropylene were explored to guide actua

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10

Lestinsky, Pavel, and Aloy Palit. "Wood Pyrolysis Using Aspen Plus Simulation and Industrially Applicable Model." GeoScience Engineering 62, no. 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 Pl

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11

Duque, Carlos, Consuelo Montes, Felipe Bustamante, and Alejandro Ortiz. "Simulation of two alternatives for SO2 removal from wet cement kiln exhaust gases." Revista Facultad de Ingeniería Universidad de Antioquia, no. 56 (February 28, 2013): 49–57. http://dx.doi.org/10.17533/udea.redin.14652.

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This work aimed at simulating two processes for capturing sulfur dioxide from exhaust gases of wet clinker processes. The goal is to present a guide to cement manufacturers when selecting the most appropriate technology for wet processes in order to comply with environmental regulations. The available commercial technologies chosen for desulfurization process were: wet limestone and wet Cement Kiln Dust (CKD) removal processes. A commercial simulator (Aspen Plus v.2006.5) was used. The absorption tower -considered the core of the process- was simulated with an Aspen RadFrac model combined with

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Sharma, Ritik, Palak Yatin Lodh, Suruj Chand, and Vikas Kumar Chaudhary. "ANALYSIS OF BIOMASS GASIFICATION USING ASPEN PLUS SIMULATION TOOL." International Journal of Engineering Applied Sciences and Technology 09, no. 01 (2024): 56–63. http://dx.doi.org/10.33564/ijeast.2024.v09i01.007.

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Biomass gasification stands as a beacon of hope in the quest for sustainable energy, offering a pathway to utilize organic matter for power generation while mitigating environmental impact. By converting biomass into a versatile syngas, this process holds immense potential in transitioning towards cleaner energy alternatives. Employing Aspen Plus, a robust process simulation tool, this study delves deep into biomass gasification, employing an equilibrium non-stoichiometric model at a precise temperature of 850°C. Through meticulous analysis, the focus lies on optimizing operational parameters

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

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14

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 (2013): 977–92. http://dx.doi.org/10.1080/00986445.2012.715108.

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15

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 (2008): 188–96. http://dx.doi.org/10.1002/ceat.200700336.

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16

Jiamin, Sun, Yang Chengcheng, Zhang Lijing, and Tao Gang. "Aspen plus Simulation and Analysis of Methanol Synthesis Process." E3S Web of Conferences 385 (2023): 04009. http://dx.doi.org/10.1051/e3sconf/202338504009.

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According to the actual situation of methanol production process, Aspen Plus software is used to build the methanol synthesis process flow model. The main and side reaction system is built in the model, which is realized by connecting the main and side reactors in series and setting the conversion rate of side reaction. Considering the model validation and process integrity, the methanol rectification system is connected in series on the basis of the methanol synthesis model, and the steady state simulation of the whole process is carried out. The methanol purity simulated is 99.74%, which sho

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17

Yuan, Shuxia, Wanwan Jiao, Chuangye Wang, Song Wu, and Qibin Jiang. "Simulation of Underground Coal-Gasification Process Using Aspen Plus." Energies 17, no. 7 (2024): 1619. http://dx.doi.org/10.3390/en17071619.

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In order to study the underground coal-gasification process, Aspen Plus software was used to simulate the lignite underground gasification process, and a variety of unit operation modules were selected and combined with the kinetic equations of coal underground gasification. The model can reflect the complete gasification process of the coal underground gasifier well, and the simulation results are more in line with the experimental results of the lignite underground gasification model test. The changes in the temperature and pressure of oxygen, gasification water, spray water, and syngas in p

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18

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 (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

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19

Loweski Feliz, Minda, Lokmane Abdelouahed, and Bechara Taouk. "Comparative and Descriptive Study of Biomass Gasification Simulations Using Aspen Plus." Energies 17, no. 17 (2024): 4443. http://dx.doi.org/10.3390/en17174443.

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Biomass gasification has emerged as a promising method for producing renewable energy, addressing both energy and environmental challenges. This review examines recent research on gasification simulations, covering a range of topics from process modeling to syngas cleanup. Key areas explored include techniques for syngas cleaning, addressing tar formation, and CO2 capture methods. The aim of this review is to provide an overview of the current state of gasification simulation and identify potential areas for future research and development. This work serves as an invaluable resource for resear

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20

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 prope

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21

Zina, Jaja, and Gwarah Bright Gogoro. "Sensitivity Analysis of Biomass Gasification Reactors Using Aspen Plus." International Journal of Research and Innovation in Applied Science X, no. II (2025): 117–30. https://doi.org/10.51584/ijrias.2025.10020010.

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Municipal solid waste (MSW) management has become a critical issue in rapidly growing urban centers like Port Harcourt, Nigeria, due to increasing waste generation from population growth and industrial activities. Traditional waste disposal methods, such as landfilling and open burning, present significant environmental challenges, including greenhouse gas emissions, land degradation, and air pollution. Gasification, a thermal conversion technology, offers a sustainable waste-to-energy solution by transforming MSW into syngas (a mixture of hydrogen, carbon monoxide, methane, and other gases),

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22

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 citrone

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23

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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24

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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Hoo, Khoo Kar, and Mohamad Syazarudin Md Said. "Simulation of air gasification of Napier grass using Aspen Plus." Sustainable Energy Technologies and Assessments 50 (March 2022): 101837. http://dx.doi.org/10.1016/j.seta.2021.101837.

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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 (2019): 349–57. http://dx.doi.org/10.1007/s41660-019-0080-7.

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27

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 (2011): 1885–94. http://dx.doi.org/10.1080/10916461003663057.

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29

Zebert, Tristan Lee, David Lokhat, Swamy Kurella, and B. C. Meikap. "Modeling and simulation of ethane cracker reactor using Aspen Plus." South African Journal of Chemical Engineering 43 (January 2023): 204–14. http://dx.doi.org/10.1016/j.sajce.2022.11.005.

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Umaru Usman, Isa, Abdulhalim Musa Abubakar, Bukar Ibrahim Askira, Moses NyoTonglo Arowo, Abba Saleh Lawan, and Tahiru Saka. "Artificial Water Hardness Removal-Modelling and Simulation in ASPEN Plus." DS Journal of Modeling and Simulation 1, no. 1 (2023): 1–8. http://dx.doi.org/10.59232/ms-v1i1p101.

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31

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 pot

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Zhu, Fugang, Laihong Shen, Pengcheng Xu, et al. "Numerical Simulation of an Improved Updraft Biomass Gasifier Based on Aspen Plus." International Journal of Environmental Research and Public Health 19, no. 24 (2022): 17089. http://dx.doi.org/10.3390/ijerph192417089.

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In this paper, numerical investigation and optimization is conducted upon an improved updraft gasifier which is expected to overcome the weakness of conventional updraft gasifier. The comprehensive Aspen Plus model of the improved updraft gasifier is based on the RYield and RCSTR reactor. The tar prediction model is constructed, and the yield of tar is determined by the volatile of biomass and gasification temperature. The Aspen Plus simulation results agree very well with experiment results for the product yields and gasification efficiency, which shows the accuracy of the Aspen Plus model. T

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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

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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 (2009): 3246–52. http://dx.doi.org/10.5762/kais.2009.10.11.3246.

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Oony-Iye, Abiin, Samuel Ogbeide Ebhodaghe, and Samuel E. Ogbeide. "Modelling and simulation of mixed sawdust pyrolysis using Aspen Plus® software." European Journal of Sustainable Development Research 9, no. 3 (2025): em0301. https://doi.org/10.29333/ejosdr/16345.

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Aspen Plus<sup>®</sup> modelling and simulation of mixed wood sawdust pyrolysis has been reported. This study evaluates the suitability of mixed wood sawdust for biomass pyrolysis. Physiochemical analyses of the sawdust sample were determined in the Aspen Plus<sup>®</sup> equilibrium model of mixed wood sawdust pyrolysis. Proximate analysis of moisture, ash, volatile matter and fixed carbon contents were 6.93, 2.03, 38.5, and 52.54 wt %, respectively while ultimate analysis of carbon, oxygen, nitrogen, hydrogen and sulfur contents were 61.5, 29.52, 0.67, 7.68, and 0.63

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王, 磊. "Aspen Plus Simulation Software Integrated into the Teaching of Chemical Engineering Course Design." Advances in Education 13, no. 03 (2023): 968–72. http://dx.doi.org/10.12677/ae.2023.133154.

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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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Yiga, F, Yiga, F., Dagde, K. K. Dagde, K. K, Akpa, J. G. Akpa, J. G, Iregbu, P. O. Iregbu, P.O, and Agbara, J. O. Agbara, J.O. "Modeling and Simulation of a Reactive and Pressure Swing Distillation Columns for Methyl Acetate Production using ASPEN PLUS and MATLAB." International Journal of Advances in Engineering and Management 7, no. 3 (2025): 684–93. https://doi.org/10.35629/5252-0703684693.

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The models for the production of methyl acetate from the esterification reaction of methanol and acetic acid in a reactive distillation column (RDC) were developed. Six trays were selected as the reactive zone; methyl acetate and water were produced with unreacted acid and methanol in the RDC. Azeotropic mixture of methyl acetatemethanol was formed at the top of the reactive distillation column. The constant boiling mixture of Methyl acetate-methanol was eliminated using pressure swing distillation (PSD) principle simulated in aspen plus. In aspen plus, the reactive distillation was configured

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Leite, Marcos Sousa, Sarah Lilian de Lima Silva, Thalita Cristine Ribeiro Lucas Fernandes, Sidinei Kleber Da Silva, and Antonio Carlos Brandão De Araújo. "Surrogate Modelling of an Industrial Distillation Column Obtained from Statistical Techniques and Machine Learning." Revista de Gestão Social e Ambiental 17, no. 10 (2023): e04292. http://dx.doi.org/10.24857/rgsa.v17n10-038.

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Purpose: To study a case of modeling an industrial distillation system, using the Aspen Plus simulator as the mathematical model and subsequently generating surrogate models using Machine Learning techniques in Matlab.  Theoretical Framework: Metamodels are reduced models obtained from data generated by rigorous models, replacing them entirely or partially when the computational codes originating from them require excessively large computational effort to be used feasibly.  Method/Design/Approach: The simulation of the process was performed in Aspen Plus. Subsequently,

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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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Ramasamy, G., A. H. Goodman, H. M. Lahuri, S. S. Md Shah, and K. M. Sabil. "Process simulation of anaerobic digestion for methane production using aspen plus." IOP Conference Series: Materials Science and Engineering 1257, no. 1 (2022): 012002. http://dx.doi.org/10.1088/1757-899x/1257/1/012002.

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Abstract A process simulation model was developed for biogas production via an anaerobic digestion process using Advanced System for Process Engineering (Aspen) Plus software. A total of 46 reactions were included in the model and were simulated with appropriate kinetics. For anaerobic digestion of Palm Oil Mill Effluent (POME), few studies have been reported with regards to simulation, and this biogas model has not been validated for use with POME. These works validate the ability of the developed model to predict biogas production using established data on biogas production from literature n

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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 (2013): 053113. http://dx.doi.org/10.1063/1.4821519.

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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 (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 condition

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45

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 (2012): 1237–45. http://dx.doi.org/10.1021/ef201620t.

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

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47

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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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 (2011): 6205–12. http://dx.doi.org/10.1021/ie101767x.

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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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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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