Mixed mode simulation - Adding equation oriented convergence to a sequential modular simulation tool

Marchetti, Marcelo; Rao, Ashok; Vickery, D. J.

doi:10.1016/s1570-7946(01)80034-1

Cited by 3 publications

(2 citation statements)

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“…One of the important features of EO modelling is the variables' specification required as input data and generated as output predictions. Each variable in the equations will be specified by fixing the value or enabling the modeling tool to manipulate the value [6] . Those variables are classified as design and iteration values.…”

Section: Variable Specification and Classificationmentioning

confidence: 99%

A port-stream based equation oriented modelling of complex distillation column: A dividing wall column case study

Rosshila

Harun²,

Othman

2020

ACE

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Dividing wall column (DWC) offers higher degree of freedom in comparison with the conventional column. Furthermore, the different sections configurations within the column are highly interacting with several recycle loops. Facing with such complex unit operation, describing its behaviour encourages the focal point on the resolution of ideal modelling approaches. Equation oriented (EO) modelling of DWC has been studied by several researchers involving complex algorithm and methodology. In this work, a new approach for modelling of DWC is presented. The modelling methodology involves variables connectivity based on ports and streams that is admissible to equation-oriented flow sheet. To verify the functionality of the proposed method, the modelled DWC is validated with two case studies depicted from experimental literature data to separate alcohol mixture and fatty acid fractionation. The model development was performed in MOSAIC, a web-based modelling tool and run in gPROMS. The model shows good convergence and has less than 10% error when compared to the above mentioned case studies. To furthermore extend the model capability, relative gain array (RGA) analysis was conducted for the fatty acid fractionation to determine the best control configuration in DWC. Result shows that L-S-V and L-S-B configurations are the best control configurations. Our analysis also shows that reflux flowrate, side flowrate and vapor boilup are best to control distillate product, side product and bottom product, respectively.

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Section: Variable Specification and Classificationmentioning

confidence: 99%

A port-stream based equation oriented modelling of complex distillation column: A dividing wall column case study

Rosshila

Harun²,

Othman

2020

ACE

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“…The equation-oriented approach needs to establish the huge equations for a complex process [11]. Indeed, computational complexity is the primary drawback for both the equation-oriented approach and the simultaneous modular approach [12]. Moreover, the technological process of the process industry is complex and heterogeneous, and the material flow, energy flow and information flow are cross-coupled.…”

Section: Introductionmentioning

confidence: 99%

Model Property Based Material Balance and Energy Conservation Analysis for Process Industry Energy Transfer Systems

O’Hare

Zhang

et al. 2015

Energies

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Conventional historical data based material and energy balance analyses are static and isolated computations. Such methods cannot embody the cross-coupling effect of energy flow, material flow and information flow in the process industry; furthermore, they cannot easily realize the effective evaluation and comparison of different energy transfer processes by alternating the model module. In this paper, a novel method for material balance and energy conservation analysis of process industry energy transfer system is developed based on model property. Firstly, a reconfigurable energy transfer process model, which is independent of energy types and energy-consuming equipment, is presented from the viewpoint of the cross-coupling effect of energy flow, material flow and information flow. Thereafter the material balance determination is proposed based on both a dynamic incidence matrix and dynamic balance quantity. Moreover, the model-weighted conservation determination theorem is proved, and the energy efficiency analysis method is also discussed. Results confirmed the efficacy of the proposed methods, confirming its potential for use by process industry in energy efficiency analyses. OPEN ACCESSEnergies 2015, 8 12284

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Modeling and Simulation Environments for Sustainable Low-Carbon Energy Production – A Review

Tumilar

Sharma

Milani

et al. 2016

Chemical Product and Process Modeling

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This paper reviews research trends in modeling for low-carbon energy production. The focus is on two currently significant low-carbon energy processes; namely, bioenergy and post-combustion carbon capture (PCC) processes. The fundamentals of these two processes are discussed and the role of modeling and simulation tools (MSTs) is highlighted. The most popular modeling software packages are identified and their use in the literature is analyzed. Among commercially available packages, it is found that no single software package can handle all process development needs such as, configuration studies, techno-economic analysis, exergy optimization, and process integration. This review also suggests that optimal modeling results reported in literature can be viewed as optimal at the individual plant level, but sub-optimal for plant superstructure level. This review has identified key gaps pertinent to developing hybrid models that describe integrated energy production processes. ASPEN Plus is found to be dominant for modeling both bioenergy and PCC processes for both steady-state and dynamic modes respectively.

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Mixed mode simulation - Adding equation oriented convergence to a sequential modular simulation tool

Cited by 3 publications

References 0 publications

A port-stream based equation oriented modelling of complex distillation column: A dividing wall column case study

A port-stream based equation oriented modelling of complex distillation column: A dividing wall column case study

Model Property Based Material Balance and Energy Conservation Analysis for Process Industry Energy Transfer Systems

Modeling and Simulation Environments for Sustainable Low-Carbon Energy Production – A Review

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