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Simulation methodology

Due to the complexity of the optimisation problem, a solution in a closed form is not feasible and for this reason simulation methodologies are usually used. The respective tools utilise logistic models of the power components and are based on [Pg.19]

The main characteristics of the simulation tools used for the sizing and performance evaluation of autonomous power systems in the design stage, include the way of representing the system, the definition of the APS control strategy, the simulation time step and methodology and finally the output of the simulation process. [Pg.20]

The time step implemented in the simulation tools is of the order of a few minutes up to one hour. It is also assumed that the time series of primary load and [Pg.20]

Simulation principles presented in this section will be used in Chapter 5 for the analysis of 5 existing autonomous power systems and their optimum redesign as hydrogen-based systems. [Pg.21]

Ackermann T, (2005). Wind Power in Power Systems. John Wiley Sons, England [Pg.21]


Good reviews of the application of dynamic simulation methods to biomolecules can be found in the books by Brooks et al. [1] and McCammon and Harvey [2]. Good short reviews on this topic can also be found in Refs. 3-5. More detailed discussions of dynamic simulation methodologies can be found in books by Allen and Tildesley [6], Frenkel and Smit [7], and Rapaport [8] and in the review by van Gunsteren [9]. [Pg.39]

Warren GL, Patel S (2007) Hydration free energies of monovalent ions in transferable intermolecular potential four point fluctuating charge water an assessment of simulation methodology and force field performance and transferability. J Chem Phys 127(6) 064509... [Pg.260]

The Gibbs Ensemble MC simulation methodology [17-19] enables direct simulations of phase equilibria in fluids. A schematic diagram of the technique is shown in Fig. 10.1. Let us consider a macroscopic system with two phases coexisting at equilibrium. Gibbs ensemble simulations are performed in two separate microscopic regions, each within periodic boundary conditions (denoted by the dashed lines in Fig. 10.1). The thermodynamic requirements for phase coexistence are that each... [Pg.356]

Fig. 10.1. Schematic diagram of the Gibbs ensemble MC simulation methodology. Reprinted with permission from [6], 2000 IOP Publishing Ltd... Fig. 10.1. Schematic diagram of the Gibbs ensemble MC simulation methodology. Reprinted with permission from [6], 2000 IOP Publishing Ltd...
The COD fractions can also be determined by iterative simulation methodologies based on a model corresponding to the matrix formulation in Table 7.1 and with parameters determined from procedure number 1 (Section 7.2.1). Successful use of this methodology requires, however, not only theoretical insight into sewer processes but also experience in calibration techniques. [Pg.191]

B. Stine, V. Mehrotra, D. Boning, J. Chung, and D. Ciplickas, A Simulation Methodology for Assessing the Impact of Spatial/Pattern Dependent Interconnect Parameter Variation on Cireuit Performance, I EDM Tech, Digest, pp. 133-136, 1997. [Pg.136]

While many of the important reactions in radiation and photochemistry are fast, not all are diffusion-limited. The random flight simulation methodology has been extended to include systems where reaction is only partially diffusion-controlled or is spin-controlled [54,55]. The technique for calculating the positions of the particles following a reflecting encounter has been described in detail, but (thus far) this improvement has not been incorporated in realistic diffusion kinetic simulations. Random flight techniques have been successfully used to model the radiation chemistry of aqueous solutions [50] and to investigate ion kinetics in hydrocarbons [48,50,56-58]. [Pg.91]

McQuarrie, D. A. 1973. Statistical Thermodynamics, University Science Books Mill Valley. CA. Norberg, J. and Nilsson, L. 2003. Advances in Biomolecular Simulations Methodology and Recent... [Pg.102]

The practical example of real distribution systems is the natural gas supply network scheme offered by the Statoil corporation (Figure 3). In order to effectively build up this kind of distribution systems it is necessary to make use of the modular systems development results, and also to make use of the base of virtual reality simulation methodologies in order to prepare the architecture that responds to all requirements and needs of distributed systems. [Pg.386]

Using the imposed heat flux method, we carried out NEMD simulations for the HMX melt at six temperatures (550 K - 800 K, in 50 K intervals) and atmospheric pressure. The simulation methodology was similar to the one described above for equilibrium MD simulations with a few exceptions. Each system contained 100 HMX molecules. The orthorhombic simulation box, extended in the z direction, was subdivided into 10 equal slabs with width of about 5.0 A and cross-sectional area of about 625.0 A2. The molecular center-of-mass velocities were exchanged every 500 fs (W=0.002 fs 1) for pairs of molecules belonging to the cold and hot slabs. This choice of the W was based on our previous experience with simulations of liquid n-butane and water [52],... [Pg.299]

The examples of applications given in the latter part of this chapter will show that even at the present state of the art and technology, many solvated ions could be treated with sufficient quality to obtain reliable results not only for structural details and species distributions, but also for the aforementioned ultrafast dynamical processes determining the chemical behaviour of such solvates. On the other hand, the latest improvements of the simulation methodology have opened a straightforward access to the treatment of other arbitrary solvated systems as computational capabilities increase. Therefore, simulation methods are not only becoming a valuable research field of their own, but also an essential supplement - if not prerequisite -for the interpretation of experimental investigations of solvates. [Pg.249]

Fredrik Persson is Assistant Professor of Production Economics in the Department of Production Economics, Linkoping Institute of Technology in Linkoping, Sweden. His research interests include modelling and simulation of manufacturing systems and supply chains. Of special interest are simulation methodology and validation methods. [Pg.341]

Here we do not give any details on simulation methodologies, since these have been reviewed recently elsewhere [186,198], and just reproduce typical results on the change of the phase diagram due to confinement (Fig. 19 [39]). A note-... [Pg.52]

Figure 8. The seheme for the proposed simulation methodology for the diseharge behavior of LiFeP04 and LiCo02 battery. [Pg.339]

Studied both by computer simulation and by experiment. Throughout this chapter we will assume that the reader has a basic understanding of computer simulation methodology and liquid state theory. We also point out that for publishing convenience all figures have been collected in the centre of this chapter. [Pg.161]

The primary goal of this appendix is to show how our exposition fits together with the more general MD picture. We feel that this is best done by giving a brief and rather general primer on the basics of Molecular Dynamics simulation methodology. [Pg.265]

The conduct of aseptic processing validation ordinarily requires the use of a microbiological growth medium in lieu of the product. The PDA/PhRMA joint task force of Validation of Sterile Bulk Processes has outlined some process simulation methodologies which do not... [Pg.129]


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See also in sourсe #XX -- [ Pg.2 , Pg.51 , Pg.53 , Pg.54 , Pg.128 , Pg.129 , Pg.130 , Pg.161 , Pg.162 , Pg.347 , Pg.348 ]

See also in sourсe #XX -- [ Pg.2 , Pg.51 , Pg.53 , Pg.54 , Pg.128 , Pg.129 , Pg.130 , Pg.161 , Pg.162 , Pg.347 , Pg.348 ]




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