In this work, a CO2 absorption process using aqueous monoethanol amine (MEA) as solvent for a post combustion capture plant was simulated using Aspen HYSYS. An Aspen HYSYS spreadsheet was used for equipment dimensioning, cost estimation and cost optimization. A standard process and a vapor recompression process for 85 % CO2 removal were simulated using the Li-Mather thermodynamic model. The energy consumptions and the total cost were calculated and compared. Cost optimum process parameters were calculated from sensitivity analysis. The vapor recompression process was shown to be both energy and cost optimum. With 20 years calculation period, the cost optimum absorber packing height was 16 meter, optimum temperature approach was 14 K and optimum recompression pressure was 130 kPa. With 10 years calculation period, the optimum values for the same parameters were 16 meter, 17 K and 140 kPa. Calculations of optimum process parameters dependent on factors like the calculation period have not been found in literature. Except from the temperature approach, the optimum values varied only slightly when the calculation period was changed.
{"title":"Cost Optimization of Absorption Capture Process","authors":"Cemil Şahin, L. Øi","doi":"10.3384/ECP17142187","DOIUrl":"https://doi.org/10.3384/ECP17142187","url":null,"abstract":"In this work, a CO2 absorption process using aqueous monoethanol amine (MEA) as solvent for a post combustion capture plant was simulated using Aspen HYSYS. An Aspen HYSYS spreadsheet was used for equipment dimensioning, cost estimation and cost optimization. A standard process and a vapor recompression process for 85 % CO2 removal were simulated using the Li-Mather thermodynamic model. The energy consumptions and the total cost were calculated and compared. Cost optimum process parameters were calculated from sensitivity analysis. The vapor recompression process was shown to be both energy and cost optimum. With 20 years calculation period, the cost optimum absorber packing height was 16 meter, optimum temperature approach was 14 K and optimum recompression pressure was 130 kPa. With 10 years calculation period, the optimum values for the same parameters were 16 meter, 17 K and 140 kPa. Calculations of optimum process parameters dependent on factors like the calculation period have not been found in literature. Except from the temperature approach, the optimum values varied only slightly when the calculation period was changed.","PeriodicalId":56990,"journal":{"name":"建模与仿真(英文)","volume":"38 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81511924","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
J. C. Bandara, R. Thapa, Britt M. E. Moldestad, Marianne S. Eikeland
Fluidization technology is widely used in solid processing industry due to the high efficiency, high heat and mass transfer rate and uniform operating conditions throughout the reactor. Biomass gasification is an emerging renewable energy technology where fluidized bed reactors are more popular compared to fixed bed reactor systems due to their scalability to deliver high throughput. Fluidization of large biomass particles is difficult, and the process is therefore assisted by a bed material with higher density. The combination of different types of particles makes it challenging to predict the fluid-dynamic behavior in the reactor. Computational particle fluid dynamics simulations using the commercial software Barracuda VR were performed to study the fluidization properties for a mixture of particles with different density and size. The density ratio for the two types of particles was six, which is the typical ratio for bed material to biomass in a gasifier. The results from simulations with Barracuda VR regarding bed pressure drop and the minimum fluidization velocity, show good agreement with available experimental data. The deviation between experimental data and simulations are less than 12%. Particle segregation was clearly observed both in the simulations and in the experimental study.
{"title":"Simulation of Particle Segregation in Fluidized Beds","authors":"J. C. Bandara, R. Thapa, Britt M. E. Moldestad, Marianne S. Eikeland","doi":"10.3384/ECP17142991","DOIUrl":"https://doi.org/10.3384/ECP17142991","url":null,"abstract":"Fluidization technology is widely used in solid processing industry due to the high efficiency, high heat and mass transfer rate and uniform operating conditions throughout the reactor. Biomass gasification is an emerging renewable energy technology where fluidized bed reactors are more popular compared to fixed bed reactor systems due to their scalability to deliver high throughput. Fluidization of large biomass particles is difficult, and the process is therefore assisted by a bed material with higher density. The combination of different types of particles makes it challenging to predict the fluid-dynamic behavior in the reactor. Computational particle fluid dynamics simulations using the commercial software Barracuda VR were performed to study the fluidization properties for a mixture of particles with different density and size. The density ratio for the two types of particles was six, which is the typical ratio for bed material to biomass in a gasifier. The results from simulations with Barracuda VR regarding bed pressure drop and the minimum fluidization velocity, show good agreement with available experimental data. The deviation between experimental data and simulations are less than 12%. Particle segregation was clearly observed both in the simulations and in the experimental study.","PeriodicalId":56990,"journal":{"name":"建模与仿真(英文)","volume":"9 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83840606","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
For assessing whether a system model is a good candidate for a particular simulation scenario or choosing the best system model between multiple design alternatives it is important to be able to ev ...
为了评估系统模型是否适合特定的仿真场景，或者在多个设计方案中选择最佳的系统模型，重要的是能够…
{"title":"Powertrain Model Assessment for Different Driving Tasks through Requirement Verification","authors":"Anders F. Andersson, L. Buffoni","doi":"10.3384/ECP17142721","DOIUrl":"https://doi.org/10.3384/ECP17142721","url":null,"abstract":"For assessing whether a system model is a good candidate for a particular simulation scenario or choosing the best system model between multiple design alternatives it is important to be able to ev ...","PeriodicalId":56990,"journal":{"name":"建模与仿真(英文)","volume":"30 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77334471","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jaroslav Cibulka, P. Mirtaheri, Salman Nazir, D. Manca, Tiina Komulainen
Simulator training with Virtual Reality Simulators deeply engages the operators and improves the learning outcome. The available commercial 3D and Virtual Reality Simulator products range from generic models for laptops to specialized projection rooms with a great variety of different audiovisual, haptic, and sensory effects. However, current virtual reality simulators do not take into account the physical and psychological strain involved in field operators’ work in real process plants. Collaborative training using Extreme Environments Training Simulators could enhance the learning process and provide a more realistic perception of the time and effort needed to carry out demanding operations in Extreme Environments. We suggest developing the following features for an optimal ETS experience and safe learning environment: immersive 3D virtual environments, mixed-reality features, automated assessment, and a monitoring system for the physiological and psychological condition of the trainees.
{"title":"Virtual Reality Simulators in the Process Industry: A Review of Existing Systems and the Way Towards ETS","authors":"Jaroslav Cibulka, P. Mirtaheri, Salman Nazir, D. Manca, Tiina Komulainen","doi":"10.3384/ECP17142495","DOIUrl":"https://doi.org/10.3384/ECP17142495","url":null,"abstract":"Simulator training with Virtual Reality Simulators deeply engages the operators and improves the learning outcome. The available commercial 3D and Virtual Reality Simulator products range from generic models for laptops to specialized projection rooms with a great variety of different audiovisual, haptic, and sensory effects. However, current virtual reality simulators do not take into account the physical and psychological strain involved in field operators’ work in real process plants. Collaborative training using Extreme Environments Training Simulators could enhance the learning process and provide a more realistic perception of the time and effort needed to carry out demanding operations in Extreme Environments. We suggest developing the following features for an optimal ETS experience and safe learning environment: immersive 3D virtual environments, mixed-reality features, automated assessment, and a monitoring system for the physiological and psychological condition of the trainees.","PeriodicalId":56990,"journal":{"name":"建模与仿真(英文)","volume":"72 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85722767","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Rand Model Designer is a modern tool for modeling and simulation hierarchical multicomponent event-driven dynamical systems. It utilizes UML-based objectoriented Model Vision Language for designing dynamical and hybrid systems using modification of State Machines, and large-scale multicomponent systems: control systems with “inputs-outputs”, “physical” systems with “contacts-flows”, and novel variable structure component systems, particularly “agent” systems. This article provides a brief overview of the «Object-Oriented Modeling with Rand Model Designer 7» book contents (Kolesov et al., 2016), highlighting the differences between RMD and similar environments.
兰德模型设计器是一个现代工具，用于建模和仿真分层多组件事件驱动的动态系统。它利用基于uml的面向对象的模型视觉语言来设计动态和混合系统，使用状态机的修改，以及大规模的多组件系统:具有“输入-输出”的控制系统，具有“接触-流动”的“物理”系统，以及新颖的变结构组件系统，特别是“代理”系统。本文简要概述了《Rand Model Designer 7的面向对象建模》一书的内容(Kolesov et al.， 2016)，强调了RMD和类似环境之间的差异。
{"title":"Object-Oriented Modeling with Rand Model Designer","authors":"Yury Kolesov, Y. Senichenkov","doi":"10.3384/ECP17142947","DOIUrl":"https://doi.org/10.3384/ECP17142947","url":null,"abstract":"Rand Model Designer is a modern tool for modeling and simulation hierarchical multicomponent event-driven dynamical systems. It utilizes UML-based objectoriented Model Vision Language for designing dynamical and hybrid systems using modification of State Machines, and large-scale multicomponent systems: control systems with “inputs-outputs”, “physical” systems with “contacts-flows”, and novel variable structure component systems, particularly “agent” systems. This article provides a brief overview of the «Object-Oriented Modeling with Rand Model Designer 7» book contents (Kolesov et al., 2016), highlighting the differences between RMD and similar environments.","PeriodicalId":56990,"journal":{"name":"建模与仿真(英文)","volume":"50 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91100435","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Industrial operator assessment is a very controversial subject in the scientific community, as determining the most suitable, objective and effective means of giving feedback on an operator’s performance is a great challenge. This paper presents a proposal on assessment methods for simulation training. The development is based on the results from simulator training courses held at Oslo and Akershus University College of Applied Sciences (HiOA) from 2010 to 2014. The results and course evaluation were analyzed to identify where new methods could be applied that would lead to improvement. The method proposed consists of an automatic assessment procedure, which will give feedback to the simulator course participants during the simulator session and help the students to achieve the learning outcomes. The proposed method will be tested in the simulator training courses at HiOA in spring 2017 and the results will be presented in a later paper.
{"title":"Constructive Assessment Method for Simulator Training","authors":"L. Marcano, Tiina Komulainen","doi":"10.3384/ECP17142395","DOIUrl":"https://doi.org/10.3384/ECP17142395","url":null,"abstract":"Industrial operator assessment is a very controversial subject in the scientific community, as determining the most suitable, objective and effective means of giving feedback on an operator’s performance is a great challenge. This paper presents a proposal on assessment methods for simulation training. The development is based on the results from simulator training courses held at Oslo and Akershus University College of Applied Sciences (HiOA) from 2010 to 2014. The results and course evaluation were analyzed to identify where new methods could be applied that would lead to improvement. The method proposed consists of an automatic assessment procedure, which will give feedback to the simulator course participants during the simulator session and help the students to achieve the learning outcomes. The proposed method will be tested in the simulator training courses at HiOA in spring 2017 and the results will be presented in a later paper.","PeriodicalId":56990,"journal":{"name":"建模与仿真(英文)","volume":"4 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89021435","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The emerging Internet of Things (IoT) paradigm and a plethora of diverse applications provision more flexible network management. Software Defined Networking (SDN) occupies the pivotal role in realizing such flexible network management. However, the gain of this potential panacea is still unmeasurable in a real sense especially when wireless medium is part of the equation, as the validation frameworks mostly skip capturing realistic system dynamics. In this paper, we study the performance gain of SDN control implemented in a physical testbed comprising of a virtualized core and a WLAN access network. With this contribution, we aim at realizing a more realistic environment where the impact of system dynamics on the stakeholders (users and operators) may be studied. We developed a mechanism to map the logical wireless channels over the physical wireless interface of the access point. SDN (OpenDaylight) control application for mobility management, the mapper tool, a visualization and control GUI, and Android applications are amongst the main contribution of this work.
{"title":"SDNizing the Wireless LAN - A Practical Approach","authors":"M. A. Khan, Patrick Engelhard, T. Dorsch","doi":"10.3384/ECP171421116","DOIUrl":"https://doi.org/10.3384/ECP171421116","url":null,"abstract":"The emerging Internet of Things (IoT) paradigm and a plethora of diverse applications provision more flexible network management. Software Defined Networking (SDN) occupies the pivotal role in realizing such flexible network management. However, the gain of this potential panacea is still unmeasurable in a real sense especially when wireless medium is part of the equation, as the validation frameworks mostly skip capturing realistic system dynamics. In this paper, we study the performance gain of SDN control implemented in a physical testbed comprising of a virtualized core and a WLAN access network. With this contribution, we aim at realizing a more realistic environment where the impact of system dynamics on the stakeholders (users and operators) may be studied. We developed a mechanism to map the logical wireless channels over the physical wireless interface of the access point. SDN (OpenDaylight) control application for mobility management, the mapper tool, a visualization and control GUI, and Android applications are amongst the main contribution of this work.","PeriodicalId":56990,"journal":{"name":"建模与仿真(英文)","volume":"4 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81200417","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
One of the fastest and richest methods, which represents emotional profile of human beings is speech. It also conveys the mental and perceptual concepts between humans. In this paper we have addressed the recognition of emotional characteristics of speech signal and propose a method to model the emotional changes of the utterance during the speech by using a statistical learning method. In this procedure of speech recognition, the internal feelings of the individual speaker are processed, and then classified during the speech. And so on, the system classifies emotions of the utterance in six standard classes including, anger, boredom, fear, disgust, neutral and sadness. For that reason, we call the standard and widely used speech database, EmoDB for training phase of proposed system. When pre-processing tasks done, speech patterns and features are extracted by MFCC method, and then we apply a classification approach based on statistical learning classifier to simulate changes trend of emotional states. Empirical experimentation indicates that we have achieved 85.54% of average accuracy rate and the score 2.5 of standard deviation in emotion recognition.
{"title":"A Method for Modelling and Simulation the Changes Trend of Emotions in Human Speech","authors":"Reza Ashrafidoost, S. Setayeshi","doi":"10.3384/ECP17142479","DOIUrl":"https://doi.org/10.3384/ECP17142479","url":null,"abstract":"One of the fastest and richest methods, which represents emotional profile of human beings is speech. It also conveys the mental and perceptual concepts between humans. In this paper we have addressed the recognition of emotional characteristics of speech signal and propose a method to model the emotional changes of the utterance during the speech by using a statistical learning method. In this procedure of speech recognition, the internal feelings of the individual speaker are processed, and then classified during the speech. And so on, the system classifies emotions of the utterance in six standard classes including, anger, boredom, fear, disgust, neutral and sadness. For that reason, we call the standard and widely used speech database, EmoDB for training phase of proposed system. When pre-processing tasks done, speech patterns and features are extracted by MFCC method, and then we apply a classification approach based on statistical learning classifier to simulate changes trend of emotional states. Empirical experimentation indicates that we have achieved 85.54% of average accuracy rate and the score 2.5 of standard deviation in emotion recognition.","PeriodicalId":56990,"journal":{"name":"建模与仿真(英文)","volume":"24 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81698621","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-12-19DOI: 10.1109/EUROSIM.2016.126
Shobhana Singh, K. Sørensen, T. Condra
— Heat transfer and pressure loss characteristics of a fin and tube heat exchanger are numerically investigated based on parametric fin geometry. The cross-flow type heat exchanger with circular tubes and rectangular fin profile is selected as a reference design. The fin geometry is varied using a design aspect ratio as a variable parameter in a range of 0.1-1.0 to predict the impact on overall performance of the heat exchanger. In this paper, geometric profiles with a constant thickness of fin base are studied. Three-dimensional, steady state CFD model is developed using commercially available Multiphysics software COMSOL v5.2. The numerical results are obtained for Reynolds number in a range from 5000 to 13000 and verified with the experimentally developed correlations. Dimensionless performance parameters such as Nusselt number, Euler number, efficiency index, and area-goodness factor are determined. The best performed geometric fin profile based on the higher heat transfer and lower pressure loss is predicted. The study provides insights into the impact of fin geometry on the heat transfer performance which help escalate the understanding of heat exchanger designing and manufacturing at a minimum cost.
{"title":"Parametric CFD Analysis to study the Influence of Fin Geometry on the Performance of a Fin and Tube Heat Exchanger","authors":"Shobhana Singh, K. Sørensen, T. Condra","doi":"10.1109/EUROSIM.2016.126","DOIUrl":"https://doi.org/10.1109/EUROSIM.2016.126","url":null,"abstract":"— Heat transfer and pressure loss characteristics of a fin and tube heat exchanger are numerically investigated based on parametric fin geometry. The cross-flow type heat exchanger with circular tubes and rectangular fin profile is selected as a reference design. The fin geometry is varied using a design aspect ratio as a variable parameter in a range of 0.1-1.0 to predict the impact on overall performance of the heat exchanger. In this paper, geometric profiles with a constant thickness of fin base are studied. Three-dimensional, steady state CFD model is developed using commercially available Multiphysics software COMSOL v5.2. The numerical results are obtained for Reynolds number in a range from 5000 to 13000 and verified with the experimentally developed correlations. Dimensionless performance parameters such as Nusselt number, Euler number, efficiency index, and area-goodness factor are determined. The best performed geometric fin profile based on the higher heat transfer and lower pressure loss is predicted. The study provides insights into the impact of fin geometry on the heat transfer performance which help escalate the understanding of heat exchanger designing and manufacturing at a minimum cost.","PeriodicalId":56990,"journal":{"name":"建模与仿真(英文)","volume":"7 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84691200","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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