دانلود مقاله ISI انگلیسی شماره 20273
عنوان فارسی مقاله

درباره حداقل بازنمایی انتقال جرم نامتجانس برای برآورد شبیه سازی و پارامتر: برنامه برای دستیابی به موفقیت در منحنی های بهره برداری

کد مقاله سال انتشار مقاله انگلیسی ترجمه فارسی تعداد کلمات
20273 2005 12 صفحه PDF سفارش دهید محاسبه نشده
خرید مقاله
پس از پرداخت، فوراً می توانید مقاله را دانلود فرمایید.
عنوان انگلیسی
On minimal representation of heterogeneous mass transfer for simulation and parameter estimation: Application to breakthrough curves exploitation
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Computers & Chemical Engineering, Volume 30, Issue 1, 15 November 2005, Pages 42–53

کلمات کلیدی
جذب سطحی - کروماتوگرافی - مدل - برآورد پارامتر - سیستم های ناهمگن
پیش نمایش مقاله
پیش نمایش مقاله درباره حداقل بازنمایی انتقال جرم نامتجانس برای برآورد شبیه سازی و پارامتر: برنامه برای دستیابی به موفقیت در منحنی های بهره برداری

چکیده انگلیسی

This paper deals with the problem of mass transfer representation within heterogeneous systems. For the purpose of their modelling from material balances, it is emphasised the existence of a well-suited change of state variables which leads to a representation containing a minimal number of parameters. The benefits of the proposed approach are illustrated by an example of parameter estimation performed from experimental breakthrough curves in chromatography. Experimental data concerning the adsorption of p-nitrophenol onto granular activated carbon are taken from [Chern, J., Chien, Y. (2002). Adsorption of nitrophenol onto activated carbon: isotherms and breakthrough curves. Water Research 36, 647–655]. This representation has several advantages: from a numerical point of view for simulation and also for parameter estimation since the number of parameter groups (macro-parameters) is minimal. In order to confirm the relevance of the change of coordinates that we propose, a structural identifiability study is also performed in some cases.

مقدمه انگلیسی

Parameter estimation is extensively used in chemical engineering to determine transport properties, kinetics as well as thermodynamic equilibrium constants (Jallut, Thomas, Touré, & Diard, 2001). The treatment of experimental data obtained from chromatographic columns is a typical example of such an approach. This technique is used to characterise liquid or gas phase adsorbents (Golshan-Shirazi & Guiochon, 1992; Gritti, Piatkowski, & Guiochon, 2002; Hufton and Danner, 1993a and Hufton and Danner, 1993b; Jolimaitre, Tayakout-Fayolle, Jallut, & Ragil, 2001; Tondeur, Kabir, Luo, & Granger, 1996), soils (Chen & Wagenet, 1995) as well as polymers (Von Meien, Biscaia, & Nobrega, 1997). One can perform specific experiments to extract the values of some of the parameters. For example, the frontal technique allows to determine the equilibrium isotherm by performing a global mass balance of the adsorbate (Gritti & Guiochon, 2003). Axial dispersion coefficient as well as porosities can be estimated from inert tracer experiments (Hejtmanek & Schneider, 1993). The other approach consists in performing the estimation of all the parameters from only one experiment. Such an approach allows to minimize the sources of errors, to save time and to avoid numerous experiments (Altenhöner, Meurer, Strube, & Schmidt-Traub, 1997). However, as far as the number of parameters to estimate is greater, a structural analysis of the model has to be performed. In this paper, we propose a way to derive models for chromatographic columns in order to avoid a possible overparametrization and we link this question to the structural identifiability of the parameters. This approach is applied to distributed parameter models. We restrict ourselves to the case of a single component experiment: an adsorbate is transported isothermally by a carrier and is supposed to be adsorbed in a solid phase. When it is introduced according to a step function from an equilibrium state, the response of the system is the breakthrough curve. The models that are used to extract parameters from experimental breakthrough curves are formulated in the state space from suitable material balances of the adsorbate, according to the general form (1): equation(1) View the MathML sourcex˙=∂x∂t=f(x,u,θ)geq(x*,x,θ)=0y(t)=h(x,u,θ)x(t=0)=x0(θ) Turn MathJax on x is the state vector, u is the manipulated variable (the inlet adsorbate concentration) and y is the measured variable (the outlet adsorbate concentration). The algebraic equation geq (x*, x, θ) = 0 represents the equilibrium conditions that are generally assumed at interfaces. For an estimation procedure to make any sense, and prior to any experimental considerations, one has to insure that the set of parameters θ is structurally globally identifiable ( Park & Himmelblau, 1982; Vajda, Rabitz, Walter, & Lecourtier, 1989; Walter, Lecourtier, Kao, & Happel, 1989; Walter and Pronzato, 1990, Walter and Pronzato, 1995 and Walter and Pronzato, 1997; Walter, Pronzato, Soong, Otarod, & Happel, 1995). This property ensures the existence and the uniqueness of the set of parameters for a given input–output behaviour of the model. The identifiability study of the general linear monodisperse model of chromatographic columns has been performed in Tayakout-Fayolle, Jolimaitre, & Jallut, 2000. The conclusion of this study is that there exists a state vector x for which the number of parameters is minimal and that these parameters are globally identifiable. In this paper, we extend the approach to some nonlinear cases. An illustrative example is given by using experimental breakthrough curves taken from literature ( Chern & Chien, 2002). The relevance of the change of state coordinates that we propose is also confirmed by performing the structural identifiability analysis of a discretized version of one of the models that are discussed in the paper.

نتیجه گیری انگلیسی

The state variables C f1 and View the MathML sourceCf1* seem to be the best one in term of the number of macro-parameters and lead to the important fact that, for an ordinary chromatographic experiment, the initial conditions are totally measured. The change of variable that we propose to represent the state of the solid is defined as the concentration of a fluid phase in equilibrium with the solid phase. If a spatial variation of the concentration in the solid is considered, it has been shown in the linear case ( Tayakout-Fayolle et al., 2000) that the best choice is also the concentration of the fluid phase in equilibrium with the solid phase at every time and point. If the thermodynamic equilibrium is assumed to be reached at the fluid–solid interface, the driving force for the mass transfer between the external fluid and the solid becomes a continuous function from one side to the other side of the interface. It seems that this property is very important and is a guide for the definition of the well-suited state variable for the solid phase whatever the form of the equilibrium relation. We think that this change of state variable is applicable to other situations like adsorption bidisperse models for example. As noticed in the previous section, the minimal representation gives rise to a minimal number of macro parameters; it is clear that in this case no numerical problem occurs. The over parameterization leads to an infinity of solutions for some parameters which implies the numerical situation described in the previous section. Another quality of this representation has been emphasized in Section 3: for non-linear equilibrium laws for which the expression cannot be explicitly inverted, the use of this representation permits to decrease the index of the system.

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