Relevant bibliographies by topics / Simulador Aspen One

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Academic literature on the topic 'Simulador Aspen One'

Author: Grafiati
Published: 2 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "Simulador Aspen One"

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Lewis, Quevedo Christy Lee, Rincón José Manuel Machado, and Costa Romero María Emilia Da. "Ingeniería conceptual para la producción de dodecilbenceno lineal." Revista Tecnocientifica URU, no. 23 (July 1, 2022): 79–94. https://doi.org/10.5281/zenodo.10790187.

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A fin de promover la fabricación de materia prima para la posterior producción de detergentes, mediante el uso de simuladores de la línea Aspen One, se modeló el proceso de alquilación para la obtención del dodecilbenceno lineal, así como el diseño de equipos. Como resultados se tiene que, la investigación cuenta con normas y criterios relacionados a los equipos diseñados y la especificación de tuberías de carácter nacional e internacional. Fue posible diseñar un proceso para l
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León Pulido, Jeffrey, Ángel Dario González Delgado, and Julio Pereira Maia. "Coluna de destilação concêntrica com integração interna de calor (CDIIC): estudo energetico em diferentes arranjos geometricos." Revista Ontare 4, no. 1 (2017): 143. http://dx.doi.org/10.21158/23823399.v4.n1.2016.1514.

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A coluna de destilação com integração interna de calor (CDIIC) apresenta um grande potencial na diminuição do consumo de energia em processos de destilação. Basicamente, é uma configuração concêntrica de coluna de destilação, onde a seção de retificação opera a maior pressão e temperatura, fazendo a roca e energia com a seção de esgotamento. Atualmente, a unidade industrial não é uma realidade, sendo assim uma grande quantidade de trabalhos uma necessidade para o desenvolvimento da unidade a grande escala. O presente trabalho estuda quarto diferentes configurações de coluna CDIIC (media, topo,
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Ahmed, Reem, and Mohan Sinnathambi Chandra. "Equilibrium Modeling in Updraft Gasifier for Refinery Sludge Gasification Using ASPEN PLUS Simulator." Applied Mechanics and Materials 393 (September 2013): 729–34. http://dx.doi.org/10.4028/www.scientific.net/amm.393.729.

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The production of refinery sludge has been increasing during tank cleaning, deslugging, and wastewater treatment process. Many efforts have been done to manage the large amount of generated sludge. The gasification of sludge is the most versatile alternative or /and is one potential treatment process for power generation and syngas production. The thermodynamic of gasifier is still not well understood for refinery sludge feedstock. As far as optimising the operational conditions of gasification process is concerned, a successful simulated work is introduced by making use of ASPEN PLUS software
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BELHOCINE, Amel, Riad BENDIB, and Youcef ZENNIR. "Simulation and Analysis of a Petrochemical Process (Deethanizer Column- MLE field) using HYSYS Aspen Simulator." Algerian Journal of Signals and Systems 5, no. 2 (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 colum
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Hossain, Arman, Md Abdul Kader Zilani, S. M. G. Mostafa, and M. Shafiul Alam. "In Bangladesh, A Techno-Economic Evaluation of Rice Straw Based Power Generation." AIUB Journal of Science and Engineering (AJSE) 23, no. 3 (2024): 214–25. https://doi.org/10.53799/ajse.v23i3.1033.

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The Availability of sufficient electrical energy is essential for a nation’s economic growth to be steady. Bangladesh should, therefore, have enough electricity infrastructure to maintain its economic growth. Several kinds of agricultural waste are available in Bangladesh as an agricultural country. Therefore, Bangladesh may generate energy (such as electricity) from this enormous agricultural waste. One of the potential agricultural wastes for use as a source of energy is rice straw, but only if it is properly and methodically processed. This research investigates the technical potential of u
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Babar, Muhammad, Mohamad Azmi Bustam, Abulhassan Ali, and Abdulhalim Shah Maulud. "Optimization of Cryogenic Carbon Dioxide Removal from CO2-CH4 System by Response Surface Methodology." Materials Science Forum 997 (June 2020): 103–10. http://dx.doi.org/10.4028/www.scientific.net/msf.997.103.

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The presence of high CO2 content in natural gas reservoirs is one of the significant threats to the environment. Cryogenic CO2 capture technology is amongst the emerging technologies used for natural gas purification before customer use. In this research work, the binary CO2-CH4 mixture having 75% CO2 content is studied. Aspen Hysys simulator with Peng Robinson property package is used for the prediction of phase equilibrium data for the binary mixture. The data obtained through the Aspen Hysys simulator is optimized for the S-V two-phase region for maximum CO2 capture. Response surface method
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Tandra, William, Budi Husodo Bisowarno, and Tedi Hudaya. "Simulation of the Effect of Flow Ratio on Methyl Caproate Composition in Fractionated Methyl Ester Based on Palm Kernel Oil." Journal of Social Research 4, no. 7 (2025): 1483–94. https://doi.org/10.55324/josr.v4i7.2648.

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This research consists of five steps, first is literature review and Aspen Plus simulator review, this review step will not only provide initial data and assumptions, but also provide which thermodynamics data suitable to be used in Aspen Plus for this research. Second step is the data collection step, the data collected from actual recorded data such as temperature, pressure, and flow rate from one of oleochemicals plants in the June 2023 period complete with the analysis results. The data and analysis results are collected from several days in the month and selected based on normal running c
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Ferreira, Ailton Freitas Balieiro, João Antônio Pessoa Da Silva, Manoel Rodrigues Da Silva, et al. "Absorption of the acid gases CO2 and H2S from a natural gas stream using the Aspen Plus® simulator." OBSERVATÓRIO DE LA ECONOMÍA LATINOAMERICANA 22, no. 2 (2024): e3113. http://dx.doi.org/10.55905/oelv22n2-030.

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Natural gas consists mainly of methane (CH4) and other lighter hydrocarbons, but it has traces of contaminants such as carbon dioxide (CO2) and hydrogen sulfide (H2S). These gases should be eliminated or reduced to the minimum concentration percentage because they are toxic, corrosive and harmful in high concentrations, as well as to avoid obstruction of pipelines of a pipeline and to meet market specifications. The most commonly used procedure to remove CO2 and H2S from natural gas is the chemical absorption process (sweetening and/or desulphurization), using alkanolamines as solvents, and th
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Ahmed, Duraid F., and Ali H. Khalaf. "Development of Artificial Neural Network Model of Crude Oil Distillation Column." Tikrit Journal of Engineering Sciences 22, no. 1 (2015): 24–37. http://dx.doi.org/10.25130/tjes.22.1.03.

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Artificial neural network in MATLAB simulator is used to model Baiji crude oil distillation unit based on data generated from aspen-HYSYS simulator. Thirteen inputs, six outputs and over 1487 data set are used to model the actual unit. Nonlinear autoregressive network with exogenous inputs (NARX) and back propagation algorithm are used for training. Seventy percent of data are used for training the network while the remaining thirty percent are used for testing and validating the network to determine its prediction accuracy. One hidden layer and 34 hidden neurons are used for the proposed netw
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Mustafa Kamal Pasha, Mustafa Kamal Pasha, Iftikhar Ahmad Iftikhar Ahmad, Jawad Mustafa Jawad Mustafa, and Manabu Kano Manabu Kano. "Modeling of a Nickel-based Fluidized Bed Membrane Reactor for Steam Methane Reforming Process." Journal of the chemical society of pakistan 41, no. 2 (2019): 219. http://dx.doi.org/10.52568/000729/jcsp/41.02.2019.

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Hydrogen being a green fuel is rapidly gaining importance in the energy sector. Steam methane reforming is one of the most industrially important chemical reaction and a key step in the production of high purity hydrogen. Due to inherent deficiencies of conventional reforming reactors, a new concept based on fluidized bed membrane reactor is getting the focus of researchers. In this work, a nickel-based fluidized bed membrane reactor model is developed in the Aspen PLUSand#174; process simulator. A user-defined membrane module is embedded in the Aspen PLUSand#174; through its interface with Mi
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Book chapters on the topic "Simulador Aspen One"

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J. Sanchez-Ruiz, Francisco. "Reactive Distillation Modeling Using Artificial Neural Networks." In Distillation Processes - From Solar and Membrane Distillation to Reactive Distillation Modelling, Simulation and Optimization. IntechOpen, 2022. http://dx.doi.org/10.5772/intechopen.101261.

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The use of artificial intelligence techniques in the design of processes has generated a line of research of interest, in areas of chemical engineering and especially in the so-called separation processes, in this chapter the combination of artificial neural networks (ANN) is presented and fuzzy dynamic artificial neural networks (DFANN). Applied to the calculation of thermodynamic properties and the design of reactive distillation columns, the ANN and DFANN are mathematical models that resemble the behavior of the human brain, the proposed models do not require linearization of thermodynamic
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Steffen, Vilmar, Maiquiel Schmidt de Oliveira, and Edson Antonio da Silva. "A Systematic Review of the Literature on Steady-State Reactive Distillation Modeling and Simulation: Challenges and Opportunities." In Solvents - Dilute, Dissolve, and Disperse - Insights on Green Solvents and Distillation [Working Title]. IntechOpen, 2024. http://dx.doi.org/10.5772/intechopen.1005434.

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Reactive distillation has already been extensively studied, many applications have been evaluated by simulation and laboratory experiments, and many modifications in the configuration of the column are being proposed, such as the reactive dividing wall column. The steady state plays a key role because it is required to operate a process steadily at the optimal point, and it is necessary to use control strategies to keep the operation at this point. Thus, this chapter presents a systematic literature review, about the modeling and simulation of reactive distillation in steady state presenting s
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Conference papers on the topic "Simulador Aspen One"

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Vel�zquez, Josu� J. Herrera, Erik L. Pi��n Hern�ndez, Luis A. Vega, Dana E. Carrillo Espinoza, J. Rafael Alc�ntara Avila, and Juli�n Cabrera Ruiz. "Comparative and Statistical Study on Aspen Plus Interfaces Used for Stochastic Optimization." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.102858.

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New research on complex intensified distillation schemes has popularized the use of several commercial process simulation software. The interfaces between process simulation and optimization-oriented software have allowed the use of rigorous and robust models. This type of optimization is mentioned in the literature as "Black Box Optimization", since successive evaluations exploits the information from the simulator without altering the model that represents the given process. Among process simulation software, Aspen Plus� has become popular due to their rigorous calculations, model customizat
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Salano, Loretta, Ilaria Dagna, Mattia Vallerio, and Flavio Manenti. "Development and Integration of a Co-Current Hollow Fiber Membrane Unit for Gas Separation in Process Simulators Using CAPE-OPEN Standards." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.182712.

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Process simulation is essential for optimizing chemical processes, offering a cost-effective alternative to the experimental approach. This study presents a co-current hollow fibre membrane model for CO2 separation, integrated into Aspen HYSYS� using the CAPE-OPEN standard. A one-dimensional boundary value problem (BVP) is solved through the shooting method, ensuring accuracy for complex gas separation processes. The unit is implemented in C++, facilitating interoperability, error handling, and optimization of key performance indicators like energy consumption and separation efficiency. Approp
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Borisut, Prapatsorn, Bianca Williams, Aroonsri Nuchitprasittichai, and Selen Cremaschi. "Design and Optimization of Methanol Production using PyBOUND." In Foundations of Computer-Aided Process Design. PSE Press, 2024. http://dx.doi.org/10.69997/sct.194568.

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In this paper, we study the design optimization of methanol production with the goal of minimizing methanol production cost. One challenge of methanol production via carbon dioxide (CO2) hydrogenation is the reduction of operating costs. The simulation of methanol production is implemented within the Aspen HYSYS simulator. The feeds are pure hydrogen and captured CO2. The process simulation involves a single reactor and incorporates recycling at a ratio of 0.995. The methanol production cost is determined using an economic analysis. The cost includes capital and operating costs, which are dete
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Al-Sakkari, Eslam G., Ahmed Ragab, Mohamed Ali, Hanane Dagdougui, Daria C. Boffito, and Mouloud Amazouz. "Learn-To-Design: Reinforcement Learning-Assisted Chemical Process Optimization." In Foundations of Computer-Aided Process Design. PSE Press, 2024. http://dx.doi.org/10.69997/sct.103483.

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This paper proposes an AI-assisted approach aimed at accelerating chemical process design through causal incremental reinforcement learning (CIRL) where an intelligent agent is interacting iteratively with a process simulation environment (e.g., Aspen HYSYS, DWSIM, etc.). The proposed approach is based on an incremental learnable optimizer capable of guiding multi-objective optimization towards optimal design variable configurations, depending on several factors including the problem complexity, selected RL algorithm and hyperparameters tuning. One advantage of this approach is that the agent-
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Kovač Kralj, Anita. "Waste Converting Into Products." In TBMCE, International Conference on Technologies & Business Models for Circular Economy. University of Maribor Press, 2025. https://doi.org/10.18690/um.fkkt.1.2025.6.

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The usage of the fossil must reduce because of a negative effect on the environment. Waste, such as municipal solid waste (MSW), which includes a lot of carbon hydrogen, is resource for chemical and energy productions. This applied study presents the methodology, which is reused the different MSW from unsorted to sorted, created by the mathematical model and the Aspen Plus® simulator for syngas synthesised into different products: methanol, ethanol, synthetic gasoline etc. The mathematical model based on the most real and something simulated parameters. MSW was gassed by using the gasification
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