Modeling MEA with the CPA equation of state: A parameter estimation study adding local search to PSO algorithm

Santos, Letícia Cotia dos; Tavares, Frederico W.; Ahón, Víctor Rolando Ruiz; Kontogeorgis, Georgios M.

doi:10.1016/j.fluid.2015.05.004

Cited by 7 publications

(5 citation statements)

References 19 publications

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“…Regarding the CPA pure parameters, it is possible to find several sets in different publications due to the intrinsic nonlinear characteristic of this thermodynamic model especially when multifunctional compounds are modeled. For a discussion related to CPA parameter estimation see, for example, Santos et al 32 4.1. CPA Thermodynamic Model Validation.…”

Section: Results and Dicussionmentioning

confidence: 99%

Cubic Plus Association Equation of State for Flow Assurance Projects

Santos

Abunahman

Tavares

et al. 2015

Ind. Eng. Chem. Res.

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Thermodynamic hydrate inhibitors such as methanol, ethanol, (mono) ethylene glycol (MEG), and triethylene glycol (TEG) are widely used in the oil and gas industry. On modeling these compounds, we show here how the CPA equation of state was implemented in an in-house process simulator as an in-built model. To validate the implementation, we show calculations for binary systems containing hydrate inhibitors and water or hydrocarbons using the Cubic Plus Association (CPA) and Soave−Redlich−Kwong (SRK) equation of states, also comparing against experimental data. For streams containing natural gas and water, CPA was applied to calculate the loss of the inhibitor to the vapor phase as a function of temperature and pressure. Simulations of dehydration units using TEG were conducted, and the CPA results were compared with that of two commercial simulators which used their available thermodynamic packages for glycol applications, proving that the CPA calculations are in good agreement with these models and showing that this is an adequate way to simulate complex mixtures containing natural gas, water, and hydrate inhibitors.

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Section: Results and Dicussionmentioning

confidence: 99%

Cubic Plus Association Equation of State for Flow Assurance Projects

Santos

Abunahman

Tavares

et al. 2015

Ind. Eng. Chem. Res.

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“…The optimization procedures performed in this work consist of multivariable search methods, due to the complexity of the thermodynamic calculations. The approach adopted is common to various authors such as Santos et al (2015c), which is divided in two stages:…”

Section: Optimization Methods and Strategiesmentioning

confidence: 99%

“…Usually, these methods are implemented sequentially, using the PSO solution as the initial estimation for the Simplex, which acts merely as a refiner of the former (Santos et al, 2015c). However, in this work, an alternative hybridization approach is also performed, based on the work of Das et al (2006).…”

Section: Optimization Methods and Strategiesmentioning

confidence: 99%

“…Besides, Santos et al (2015c) suggested, in their work, a creation of a single objective function which considers not only the metric based on the pure component's saturation pressure and liquid density, but also the metric based on the compositions in LLE with a pre-selected hydrocarbon. Consequently, there would be a multi-objective optimization problem to solve, weighted by a specified value.…”

Section: Parameter Estimationmentioning

confidence: 99%

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A computational tool for parameter estimation in EoS: New methodologies and natural gas phase equilibria calculations

Abunahman

Santos

Tavares

et al. 2020

Chemical Engineering Science

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“…Ramadan et al [28] use PSO to solve allocation problems in distribution systems with wind turbine generators. In the specific context of parameter estimation, PSO has been successfully used to estimate the parameters of mathematical models related to chemical industry [24,29,30], to obtain ML estimates of a mixture of two Weibull parameters [31], and to derive the parameters' estimates of a Weibull model related to wind speed data from the Northeast of Brazil [32].…”

Section: Introductionmentioning

confidence: 99%

Combining Generalized Renewal Processes with Non-Extensive Entropy-Based q-Distributions for Reliability Applications

Lins

Moura

Droguett

et al. 2018

Entropy

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Abstract:The Generalized Renewal Process (GRP) is a probabilistic model for repairable systems that can represent the usual states of a system after a repair: as new, as old, or in a condition between new and old. It is often coupled with the Weibull distribution, widely used in the reliability context. In this paper, we develop novel GRP models based on probability distributions that stem from the Tsallis' non-extensive entropy, namely the q-Exponential and the q-Weibull distributions. The q-Exponential and Weibull distributions can model decreasing, constant or increasing failure intensity functions. However, the power law behavior of the q-Exponential probability density function for specific parameter values is an advantage over the Weibull distribution when adjusting data containing extreme values. The q-Weibull probability distribution, in turn, can also fit data with bathtub-shaped or unimodal failure intensities in addition to the behaviors already mentioned. Therefore, the q-Exponential-GRP is an alternative for the Weibull-GRP model and the q-Weibull-GRP generalizes both. The method of maximum likelihood is used for their parameters' estimation by means of a particle swarm optimization algorithm, and Monte Carlo simulations are performed for the sake of validation. The proposed models and algorithms are applied to examples involving reliability-related data of complex systems and the obtained results suggest GRP plus q-distributions are promising techniques for the analyses of repairable systems.

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Modeling MEA with the CPA equation of state: A parameter estimation study adding local search to PSO algorithm

Cited by 7 publications

References 19 publications

Cubic Plus Association Equation of State for Flow Assurance Projects

Cubic Plus Association Equation of State for Flow Assurance Projects

A computational tool for parameter estimation in EoS: New methodologies and natural gas phase equilibria calculations

Combining Generalized Renewal Processes with Non-Extensive Entropy-Based q-Distributions for Reliability Applications

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