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System optimising

If the system continues to perform reliably with a small proportion of air by-passing the system, the valve can be opened a little more. Observation of the pressure gauge, in terms of degree of fluctuation, should give some indication of when the air flow rate is getting close to the minimum value. If the air flow rate so by-passed reaches about 10% of the rated value it would be recommended that the speed of the air mover be reduced to compensate and the process continued. If too much air is by-passed in this way the system could be susceptible to premature blockage, for if a pressure fluctuation occurs this is likely to cause considerably more air to flow through the by-pass, as a line of least resistance. [Pg.193]


Finally, FDTD may be used to model the coupling of the focal field into the PhC-waveguide, potentially with the presence of an air or glue gap. Even such a simulation procedure with adapted numerical methods for each part of the propagation requires a considerable computation time. To speed up the simulation process for system optimisation remarkably, the FDTD-simulation can be replaced by a formula for the coupling efficiency to a conventional high-index or a PhC-waveguide, ... [Pg.273]

C. R. T. Tarley, E. C. Figueiredo and G. D. Matos, Thermospray flame furnace-AAS determination of copper after on-line sorbent preconcentration using a system optimised by experimental designs. Anal. Sci., 21(11), 2005, 1337-1342. [Pg.153]

Overall system optimisation including facilitating swaps ... [Pg.196]

The analyses of the existing PV-diesel autonomous power system and the envisaged PV-hydrogen autonomous power system have been performed using the HOMER tool. The results of the existing system simulation, hydrogen-based system optimisation and the comparison between these systems are presented in the following sections. [Pg.106]

As noted before, in order to replace conventional power components with hydrogen technologies in renewable energy-based autonomous power systems, an oveidimensioning of RE equipment is usually necessary. Nevertheless, the results of Fair Isle s wind-hydrogen system optimisation revealed that there is no need for additional wind turbines on the island, due to the fact that in the existing wind-diesel power system the wind turbines were already oversized. More specifically, the first preliminary runs conducted with HOMER software demonstrated that the size of the wind turbines to be considered in the analysis will also be 100 kW and 60 kW, respectively. [Pg.117]

Solvent system optimisation can be done on the basis of trial and error according to the literature data or the intuition and experience of the chromatographer 57. The mobile phase optimisation procedure is based on Snyder s solvent characterisation 58 and is called the PRISMA system 157). which uses a three-step optimisation procedure. The proper stationary phase and the possible individual solvents are chosen, and their combination is. selected by means of the PRISMA model, while this combination is adapted to the selected technique (e.g.. FF-TLC. saturated immersion mode, etc.). [Pg.467]

To perform system optimisation, it is necessary to bear in mind how the dispersion and overlap processes depend on the sequentially injected volumes and total travelled distance. To this end, two distinct situations, involving large and limited sample dispersion, should be considered. [Pg.179]

Azithromycin Pharmaceutical formulations UV-Vis 6.6 mg L-1 Multivariate algorithm for system optimisation [98]... [Pg.251]

One more general consideration could be useful to have in mind before entering into details. For more or less complex systems such as stabilised lasers, a choice has often to be made as to which properties of the system should be optimised, be it portability, stability, cost, accessibility, wavelength etc. Often these properties are complementary so improving one is made at the cost of another. Comparing systems optimised in largely different ways has therefore limited relevance. [Pg.453]

While laboratory tests allow selection of the optimum products and give an indication of dosage(s) required, they are only a guideline for machine trials. Final system optimisation and sometimes final product comparison can only be done on the machine. [Pg.48]

Thomas WJ. RF Drying Provides Process Savings New systems optimise radio frequency drying for the ceramic and glass fibre industries. Ceramic Industry Magazine April 30-34, 1996. [Pg.451]

Chernyshov, V. I., and 1. M. Kisil. 1993. Platinum Metals Catalytic Systems in Nitric Acid Productionj-System Optimisation in Non-Concentrated Acid Plants, Platinum Metals Review, 37(3) 136-143. [Pg.253]

Wind energy systems Optimising design and construction for safe and reliable operation... [Pg.434]

Design attempts to combine the elements of art and science. The first consideration in any design and optimisation problem is to decide the boundaries of the system. Optimised process design in plastics waste recycling considers the costs of manufacturing, processing technique and the minimisation of waste. [Pg.114]

Of course, all these measures based upon the ROC curve require knowledge of the ROC curve, which hitherto has been unavailable for the STCA system. In this section we show how multi-objective evolutionary algorithms may be used to derive the ROC curve for the STCA system optimised over all possible parameter values. That is, we seek to discover the set of parameters that simultaneously minimise F 0) and maximise T 0). [Pg.220]

A general overview in Sect. 5.2 about the simulation of adaptronic (mechanical) systems is followed by a discussion of steps to be taken towards a mathematical model of an adaptronic structure in Sect. 5.3. Once a mathematical model of the adaptronic system has been derived and implemented numerically, analysis and simulations have to be carried out to characterise its dynamic behaviour. A survey of related methods and algorithms is given in Sect. 5.4. Simulation goals such as stability, performance and robustness are discussed, especially for the case of actively controlled structures. The modelling and simulation process is also demonstrated by a practical example in Sect. 5.5, while Sect. 5.6 gives an outlook on adaptronic system optimisation techniques. [Pg.75]

Experimental variables such as sample volume, stripping time and gas flow rates are interrelated, and depend on the dimensions of the purge vessel and column as well as on the design of the FPD. Thus, the performance of each analytical system should be assessed individually. Using the above specified equipment and 3-12 mL samples, the author obtained optimum system performance with the following settings, which may serve as a guideline for system optimisation. [Pg.528]

The following steps should be carried out during initial system optimisation. [Pg.528]

In classical conceptions weakly distorted systems travel via relaxation towards an equilibrium state [5, 6, 8, 9]. To get the same logistics we have to postulate that in dissipative open systems optimised stationary states operate as temporary states of reference. If sufficiently fast processes are available there is no objection against the hypothesis that relaxation towards such stationary states should exhibit analogous features as in classical models [9]. If the external conditions vary steadily it should also be possible that relaxation is running off while the state of reference passes slowly through a logical sequence of temporary stationary patterns. [Pg.201]

Determination of Cu in seawater based on a liquid membrane preconcentration system. Optimisation of transport processes throughout the membrane. [Pg.233]


See other pages where System optimising is mentioned: [Pg.8]    [Pg.248]    [Pg.124]    [Pg.9]    [Pg.1665]    [Pg.344]    [Pg.142]    [Pg.179]    [Pg.297]    [Pg.410]    [Pg.233]    [Pg.199]    [Pg.585]    [Pg.57]    [Pg.14]    [Pg.56]    [Pg.381]    [Pg.403]    [Pg.244]    [Pg.197]    [Pg.146]    [Pg.1068]    [Pg.36]   


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