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SHES simulation

Although many of the standard TRNSYS components are useful for the SHES simulation, it should be noted that no models for the core components of the SHES (a fuel cell, an electrolyzer, and a hydrogen storage system) are currently included with the standard version of the TRNSYS software. However, the SEL has collected many... [Pg.175]

Electrolyzer. Data for a PEM type pressurized electrolyzer has been used for the SHES simulation. The same electrolyzer has been used for both cases with a total of 25 cells and each cell is assumed to have an area of 279 cm2. The electrolyzer operates at a pressure of 1000 psi and an efficiency of approximately 75%, producing approximately 0.48 kg/h (90 slpm) ofhydrogen at 500 A. [Pg.179]

Fuel Cell. A PEM fuel cell is included in the SHES simulation for secondary power generation. The same fuel cell has been used for both cases. It operates on hydrogen and air and contains a total of 50 cells. Each cell has an area of 300 cm2. The stack produces a total of 11.6 kW of DC power at 32 V and 363 A. The stack operates at an efficiency of 44% consuming 0.683 kg/h (127 slpm) of hydrogen. [Pg.180]

The engineer decides when to do a numerical simulation. He or she will consider numerical modeling when one or several of the following apply ... [Pg.1027]

This fascinating product will still continue to develop to accommodate new applications, safety, health and environment (SHE) issues, advantages of novel materials like nano-composites, plasma-surface-modified carbon black, development of computer simulation techniques, and finally to develop a cybernetic or thinking tire. [Pg.932]

Ab initio atomic simulations are computationally demanding present day computers and theoretical methods allow simulations at the quantum mechanical level of hundreds of atoms. Since an electrochemical cell contains an astronomical number of atoms, however, simplifications are essential. It is therefore obvious that it is necessary to study the half-cell reactions one by one. This, in turn, implies that a reference electrode with a known fixed potential is needed. For this purpose, a theoretical counterpart to the standard hydrogen electrode (SHE) has been established [Nprskov et al., 2004]. We will describe this model in some detail below. [Pg.58]

One way to include these local quantum chemical effects is to perform ab initio calculations on an HOD molecule in a cluster of water molecules, possibly in the field of the point charges of the water molecules surrounding the cluster. In 1991 Hermansson generated such clusters from a Monte Carlo simulation of the liquid, and for each one she determined the relevant Bom Oppenheimer potential and the vibrational frequencies. The transition-dipole-weigh ted histogram of frequencies was in rough agreement with the experimental IR spectrum for H0D/D20 [130],... [Pg.72]

Step 1 simulates the readily available soil fraction, steps 2-4 indicate potentially available soil fractions, and step 5 yields the unextracted residue and completes the mass balance. Note that the solvent used becomes inaeasingly nonpolar during the extraction sequence. Summary data for the she studied compounds are presented in Fig. 8.48. [Pg.207]

The talk-through technique, often used by human reliability analysts, has particular application for learning more about specihc tasks or occurrences. It is a method in which an operator describes the actions required in a task, explains why he or she is doing each action, and explains the associated mental processes. There is a normal protocol for how to organize the talk-through. When the procedures call for the manipulation of a specific control or for the monitoring of a specific set of displays, the operator and the investigator approach them at the control panels, and the operator points out the controls and displays in question. If the performance is simulated, the operator touches the manual controls that would be operated and describes the control action required. The operator ... [Pg.171]

There are some issues associated with 2nd-order Monte Carlo analysis. Computational time can be a problem because the necessary number of replicates is squared with 2nd-order Monte Carlo analyses (i.e., number of inner loop simulations times number of outer loop simulations). In practice, specifying variability and uncertainty with random variables is a difficult exercise because the analyst is essentially trying to quantify what he or she does not know or only partially understands. [Pg.128]

Baranski and Lu [209] have carried out, applying microelectrodes, voltammetric studies on ammonium amalgam in propylene carbonate solutions at room temperatures. The sweep rates up to 80 V s were appropriate for the analysis of the formation kinetics of this compound. Experimental and numerical simulation results have shown that ammonium amalgam was formed via fast charge-transfer process and its first-order decomposition was characterized by the rate constant of about 0.6 s . Diffusion coefficient of NH4 radical in mercury was estimated to be about 1.8 X 10 cm s k The formal potential of NH4+ (aq)/NH4(Hg) couple was determined as—1.723 V (SHE). [Pg.985]

Kobayashi (143) presented the first computer simulations that considered the determination of the crystal radius as part of the analysis but avoided the capillary problem by considering a flat melt-ambient surface, which is consistent with <)>o = 99°. Calculations were performed for a fixed crystal radius, and then the growth rate was adjusted to balance the heat flux into the crystal. Crowley (148) was the first to present numerical calculations of a conduction-dominated heat-transfer model for the simultaneous determination of the temperature fields in crystal and melt and of the shapes of the melt-crystal and melt-ambient surfaces for an idealized system with a melt pool so large that no interactions with the crucible are considered. She used a time-dependent formulation of the thermal-capillary model and computed the shape of an evolving crystal from a short initial configuration. [Pg.96]

Clegg (60) studied the nonenzymic browning of lemon juice and reported that the phenomenon was attributable to ascorbic acid rather than sugar-amino acid condensations. She reported that furfural was produced during the. development of browning, but did not consider that it played an important role in the aerobically-produced browning. In model systems that simulated lemon juice, she reported that amino acids in ascorbic systems were major contributors to browning (61). [Pg.247]

Natalie Cann joined the Department of Chemistry at Queen s in 1997. She is developing a research program focused on the study of separations of mixed systems. In particular, she is using simulations and analytic theories to model simple chiral mixtures. [Pg.260]

After many years of experience both teaching thermodynamics at university and actually practising it in industry, I have concluded that the most effective way of presenting thermodynamics is to simulate the method that a lecturer would employ in class. When teaching, the lecturer may write important equations and concepts on the board, draw underlines, circle or place tick marks to emphasise important points, draw arrows to indicate relationships, use coloured chalk for visual effect, and erase some parts to write new lines. He/she may even repeat some parts to stress their importance. A book written on paper alone cannot properly simulate the techniques mentioned above. [Pg.316]


See other pages where SHES simulation is mentioned: [Pg.178]    [Pg.179]    [Pg.180]    [Pg.178]    [Pg.180]    [Pg.178]    [Pg.179]    [Pg.180]    [Pg.178]    [Pg.180]    [Pg.240]    [Pg.516]    [Pg.507]    [Pg.152]    [Pg.156]    [Pg.273]    [Pg.545]    [Pg.629]    [Pg.44]    [Pg.89]    [Pg.324]    [Pg.155]    [Pg.73]    [Pg.126]    [Pg.457]    [Pg.143]    [Pg.351]    [Pg.250]    [Pg.201]    [Pg.182]    [Pg.112]    [Pg.20]    [Pg.154]    [Pg.175]    [Pg.176]    [Pg.176]    [Pg.176]   
See also in sourсe #XX -- [ Pg.179 ]

See also in sourсe #XX -- [ Pg.179 ]




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