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Unit models

There is some uncertainty connected with testing techniques, errors of characteristic measurements, and influence of fectors that carmot be taken into account for building up a model. As these factors cannot be evaluated a priori and their combination can bring unpredictable influence on the testing results it is possible to represent them as additional noise action [4], Such an approach allows to describe the material and testing as a united model — dynamic mathematical model. [Pg.188]

Fig. 2. Distributed control system stmcture, where PIU = process interface unit LCUj = local control unit, model 1 LCU2 = local control unit, model 2 ... Fig. 2. Distributed control system stmcture, where PIU = process interface unit LCUj = local control unit, model 1 LCU2 = local control unit, model 2 ...
Focus For the purposes of this discussion, a model is a mathematical representation of the unit. The purpose of the model is to tie operating specifications and unit input to the products. A model can be used for troubleshooting, fault detection, control, and design. Development and refinement of the unit model is one of the principal results of analysis of plant performance. There are two broad model classifications. [Pg.2555]

The zone model has the following basic limitations 1) complex enclosure geometries cannot be addres.sed, 2) forced ventilation cannot be realistically modeled using simple unit models, 7 ) burning other combustibles remote from the initiating source are not modeled, and 4) siipprcssion activities are not included. [Pg.199]

First commercial FCC unit (Model I upflow design) started up at Standard of New Jersey s Baton Rouge, Louisiana, refinery. [Pg.4]

Pears. Triplicate samples of 20 Bartlett pears each were used and a fourth sample was placed in cold storage for subsequent examination, as with the apples. Washing trials were performed in a standard type washer (an Ideal fruit washer with an unheated main tank unit and a water rinse tank unit, Model WKA, manufactured by the Ideal Grader and Nursery Company, Hood River, Ore.). [Pg.138]

The older modular simulation mode, on the other hand, is more common in commerical applications. Here process equations are organized within their particular unit operation. Solution methods that apply to a particular unit operation solve the unit model and pass the resulting stream information to the next unit. Thus, the unit operation represents a procedure or module in the overall flowsheet calculation. These calculations continue from unit to unit, with recycle streams in the process updated and converged with new unit information. Consequently, the flow of information in the simulation systems is often analogous to the flow of material in the actual process. Unlike equation-oriented simulators, modular simulators solve smaller sets of equations, and the solution procedure can be tailored for the particular unit operation. However, because the equations are embedded within procedures, it becomes difficult to provide problem specifications where the information flow does not parallel that of the flowsheet. The earliest modular simulators (the sequential modular type) accommodated these specifications, as well as complex recycle loops, through inefficient iterative procedures. The more recent simultaneous modular simulators now have efficient convergence capabilities for handling multiple recycles and nonconventional problem specifications in a coordinated manner. [Pg.208]

If the chemistry of polymer molecules were different from that of simple compounds resembling the repeating units (model compounds), the study of the chemical resistance of organic polymers would be difficult. Fortunately, Nobel laureate Paul Flory found that the rate of esterification of molecules with terminal hydroxyl and carboxyl groups is essentially independent of the size of the molecules. Thus it is customary to assume that the rates of most reactions of organic molecules are similar regardless of the size of the molecule. [Pg.114]

Equipment name freeze drying unit — model All concerned equipment (list) ... [Pg.599]

The purpose is to requalify the freeze drying unit (model no. ) by ... [Pg.610]

Charge distribution on butadiene one unit model and % 1,2 structure in polybutadiene. 19... [Pg.75]

Table 10.2 Calculation conditions for cell performance using the single-unit model. [Pg.340]

Fig. 10.35 The calculated (a) temperature and (b) P(>2 distributions at the interconnector for the standard counter-flow condition 1 in Table 10.2 using the single-unit model. Fig. 10.35 The calculated (a) temperature and (b) P(>2 distributions at the interconnector for the standard counter-flow condition 1 in Table 10.2 using the single-unit model.
Process-scale models represent the behavior of reaction, separation and mass, heat, and momentum transfer at the process flowsheet level, or for a network of process flowsheets. Whether based on first-principles or empirical relations, the model equations for these systems typically consist of conservation laws (based on mass, heat, and momentum), physical and chemical equilibrium among species and phases, and additional constitutive equations that describe the rates of chemical transformation or transport of mass and energy. These process models are often represented by a collection of individual unit models (the so-called unit operations) that usually correspond to major pieces of process equipment, which, in turn, are captured by device-level models. These unit models are assembled within a process flowsheet that describes the interaction of equipment either for steady state or dynamic behavior. As a result, models can be described by algebraic or differential equations. As illustrated in Figure 3 for a PEFC-base power plant, steady-state process flowsheets are usually described by lumped parameter models described by algebraic equations. Similarly, dynamic process flowsheets are described by lumped parameter models comprising differential-algebraic equations. Models that deal with spatially distributed models are frequently considered at the device... [Pg.83]

Fig. 2.43 Potential energy (kJ mol 1) profile for rotation of O-C bond for (4> — 180° to +180°) for one-unit model compounds of ( ) PCHMA, (o) P4THPMA and (9) PDMA. (From ref. [38])... Fig. 2.43 Potential energy (kJ mol 1) profile for rotation of O-C bond for (4> — 180° to +180°) for one-unit model compounds of ( ) PCHMA, (o) P4THPMA and (9) PDMA. (From ref. [38])...
Scheme 2.8 shows the optimization geometry of the one-unit model compound of P4THPMA. [Pg.102]

Scheme 2.9 Schematic chemical structures of PTHFM and P3MTHFM. Between squares the dipoles on the one-unit model on the two polymers evaluated using PM3 (converge limit 0.01) for energy minimization and Molecular Mechanic (MM +) force field for molecular dynamic at 300 K. (From ref. [64])... Scheme 2.9 Schematic chemical structures of PTHFM and P3MTHFM. Between squares the dipoles on the one-unit model on the two polymers evaluated using PM3 (converge limit 0.01) for energy minimization and Molecular Mechanic (MM +) force field for molecular dynamic at 300 K. (From ref. [64])...
We consider a generic class of reaction-separation process systems, such as the one in Figure 3.1, consisting of N units (modeled as lumped parameter systems) in series, with one material recycle stream. [Pg.35]

In addition to handling the conventional vapor/liquid process operations, the ASPEN library of process models includes solids handling and separation units, a set of generalized reactors, improved flash and distillation unit models and process models from the FLOWTRAN simulator. The user can also include his or her own model or key elements of a model, such as the reaction kinetics, in FORTRAN code. [Pg.289]

DATA BASES UNIT MODELS (UM) COUPLED UM PROCESS MODELS... [Pg.29]

Implementation of dynamic simulators has led to interesting research issues. For example, many have been implemented in a sequential modular format. To carry out the integration correctly from the point of view of correctly assessing integration errors, each unit model can receive as input a current estimate for the state variables (variables x), the unit input stream variables, and any independent input variables specified versus time... [Pg.516]


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