2018
DOI: 10.1016/j.compchemeng.2017.10.007
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An algorithm for gradient-based dynamic optimization of UV flash processes

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Cited by 10 publications
(8 citation statements)
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“…Extensive variables in (19a) are considerably larger in magnitude than the intensive variables in the interface description (19b). Such differences are known to cause the Jacobian matrix of the system to be ill-conditioned (Ritschel et al, 2018). This leads to precision problems during the numerical integration of a DAE or an ODE system.…”
Section: Change Of Coordinatesmentioning
confidence: 99%
“…Extensive variables in (19a) are considerably larger in magnitude than the intensive variables in the interface description (19b). Such differences are known to cause the Jacobian matrix of the system to be ill-conditioned (Ritschel et al, 2018). This leads to precision problems during the numerical integration of a DAE or an ODE system.…”
Section: Change Of Coordinatesmentioning
confidence: 99%
“…The condensate consists of eleven hydrocarbons as well as CO 2 , N 2 , and H 2 S. The separation process is assumed to be at vapor-liquid equilibrium. The dynamic optimization of the isoenergetic-isochoric (UV) flash process can be formulated as a bilevel optimization problem (Ritschel et al, 2017). The inner optimization problem is the 2nd law of thermodynamics that says that equilibrium of a closed systems is obtained at maximum entropy of the system.…”
Section: Flash Separation Processmentioning
confidence: 99%
“…Consequently, it is natural to model dynamic phase equilibrium processes with differential-algebraic equations (DAEs). Dynamic optimization algorithms for UV flash processes have recently been developed [25], but state estimation in such systems has not been addressed yet.…”
Section: Introductionmentioning
confidence: 99%