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Optimization efficiency

The optimization of the efficiency of the chromatographic system involves the selection of a column with a sufficient but not excessive number of plates. If a column is used with twice the required number of plates, then the observed resolution would exceed the required value by 40%, but both the analysis time and the pressure drop over the column would be double the required value. Moreover, the sensitivity of the detection would be decreased by 40% (see section 7.3). It is clear that we should aim to use a column with the optimum (i.e. the required) number of plates. [Pg.299]


This section deals with the transfonnation of coordinates and forces [U, 47] between different coordinate systems. In particular, we will consider the transfonnation between Cartesian coordinates, in which the geometry is ultimately specified and the forces are calculated, and internal coordmates which allow efficient optimization. [Pg.2345]

FogarasI G, Zhou X, Taylor P W and Pulay P 1992 The calculation of ab initio molecular geometries efficient optimization by natural Internal coordinates and empirical correction by offset forces J. Am. [Pg.2357]

Concomitantly with the increase in hardware capabilities, better software techniques will have to be developed. It will pay us to continue to learn how nature tackles problems. Artificial neural networks are a far cry away from the capabilities of the human brain. There is a lot of room left from the information processing of the human brain in order to develop more powerful artificial neural networks. Nature has developed over millions of years efficient optimization methods for adapting to changes in the environment. The development of evolutionary and genetic algorithms will continue. [Pg.624]

An efficient optimization method that allows several factors to be optimized at the same time. [Pg.672]

Molten sodium is injected into the retort at a prescribed rate and the temperature of the system is controlled by adjusting the furnace power or with external cooling. The variables that control the quaUty and physical properties of the powder are the reduction temperature and its uniformity, diluent type and concentration, sodium feed rate, and stirring efficiency. Optimizing a variable for one powder attribute can adversely affect another property. For example, a high reduction temperature tends to favor improved chemical quaUty but lowers the surface area of the powder. [Pg.327]

Temperature, pH, and feed rate are often measured and controlled. Dissolved oxygen (DO) can be controlled using aeration, agitation, pressure, and/or feed rate. Oxygen consumption and carbon dioxide formation can be measured in the outgoing air to provide insight into the metaboHc status of the microorganism. No rehable on-line measurement exists for biomass, substrate, or products. Most optimization is based on empirical methods simulation of quantitative models may provide more efficient optimization of fermentation. [Pg.290]

Single porosity Efficient Optimized Flexible Low cost Good for QC Viscous fingering... [Pg.277]

The composition of the copolymer determines its electroluminescence efficiency. Optimal efficiency (0.3%) was achieved in system 34 when the feed ratio of monomer 4 to monomer 34 was 9 1. This represents a 30-fold improvement in luminescence efficiency relative to PPV in the same device configuration (AlALOj/polymer/Al) 58, 62. Copolymer 33 has found uses as waveguides and... [Pg.335]

Rawjee, Y. Y and Vigh, Gy., Efficiency optimization in capillary electrophoretic chiral separations using dynamic mobility matching, Anal. Chem., 66,3777,1994. [Pg.423]

In order to obtain high conversion efficiencies, optimization of the short-circuit photocurrent and open-circuit potential of the solar cell are essential. The conduction band of the Ti02 is known to have... [Pg.743]

With the main purpose of developing more efficient optimization models for batch sequential processes, especially those involving sequence-dependent changeovers, different approaches were proposed based on the concept of batch precedence. [Pg.176]

Muj taba, I. M. and S. Macchietto. Efficient Optimization of Batch Distillation with Chemical Reaction Using Polynomial Curve Fitting Techniques. Ind Eng Chem Res 36 2287-2295 (1997). [Pg.458]

Sargent, R. W. H and Sullivan, G. R., The development of an efficient optimal control package," Proceedings of the 8th IFIP Conference on Optimization Techniques, Pt. 2... [Pg.256]

Analytical change control is the monitoring of any changes to analytical methodology, which has to be justified and evaluated for its performance and impact on the quality of the product. For process analytical methods, the change control approach requires significant documentation and can impede the efficient optimization of the method in the early phases of implementation if parameters have to be locked down based on an insufficient data set. [Pg.35]

Determine the power required by the pump, power produced by the turbine, net power produced by the cycle, rate of heat added by the heat source, rate of heat removed to the heat sink, and cycle efficiency. Optimize the net power produced by the cycle with fixed pi. Draw the sensitivity diagram of net power versus pj. Find the maximum net power and p3 at the maximum net power condition. [Pg.381]

Regardless, the application of a QSAR strategy to the problem of novel discovery in the area of pyre-throid insecticides has provided not only a new lead area that was efficiently optimized but also provided a new class of bridged esters. In Table 4 I have summarized the activity gains that have been achieved in this study. [Pg.317]

As far as the controls are concerned, we here consider time-continuous modulation of the system Hamiltonian, which allows for vastly more freedom compared to control that is restricted to stroboscopic pulses as in DD [42, 55, 91]. We do not rely on rapidly changing control fields that are required to approximate stroboscopic a -pulses. These features allow efficient optimization under energy constraint. On the other hand, the generation of a sequence of well-defined pulses may be preferable experimentally. We may choose the pulse timings and/or areas as continuous control parameters and optimize them with respect to a given bath spectrum. Hence, our approach encompasses both pulsed and continuous modulation as special cases. The same approach can also be applied to map out the bath spectrum by measuring the coherence decay rate for a narrow-band modulation centered at different frequencies [117]. [Pg.212]

In order to obtain high conversion efficiencies, optimization of the short-circuit photocurrent (z sc) and open-circuit potential (Voc) of the solar cell is essential. The conduction band of the TiO is known to have a Nernstian dependence on pH [13,18], The fully protonated sensitizer (22), upon adsorption, transfers most of its protons to the TiO surface, charging it positively. The electric field associated with the surface dipole generated in this fashion enhances the adsorption of the anionic ruthenium complex and assists electron injection from the excited state of the sensitizer in the titania conduction band, favoring high photocurrents (18-19 inA/cm ). However, the open-circuit potential (0.65 V) is lower due to the positive shift of the conduction-band edge induced by the surface protonation. [Pg.332]

Bakken, V. and Helgaker, T. 2002. The Efficient Optimization of Molecular Geometries Using Redundant Internal Coordinates , J. Chem. Phys., 117, 9160. [Pg.66]


See other pages where Optimization efficiency is mentioned: [Pg.2334]    [Pg.778]    [Pg.27]    [Pg.1176]    [Pg.602]    [Pg.69]    [Pg.233]    [Pg.761]    [Pg.154]    [Pg.39]    [Pg.460]    [Pg.46]    [Pg.183]    [Pg.251]    [Pg.383]    [Pg.89]    [Pg.30]    [Pg.569]    [Pg.727]    [Pg.213]    [Pg.133]    [Pg.98]    [Pg.123]    [Pg.166]    [Pg.153]    [Pg.127]   
See also in sourсe #XX -- [ Pg.299 , Pg.305 ]




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