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Factors affecting cell voltage

The performance of fuel cells is affected by operating variables (e.g., temperature, pressure, gas composition, reactant utilizations, current density) and other factors (impurities, cell life) that influence the ideal cell potential and the magnitude of the voltage losses described above. Any number of operating points can be selected for application of a fuel cell in a practical system, as illustrated by Figure 2-4. [Pg.61]

The other important factor to affect the operational conditions of the cell is the voltage increase between the carbon and copper lead. This problem has been solved individually in industry. For example, a 250 pm thick layer of nickel can be coated onto the upper part of the carbon anode using the atmospheric plasma spraying method.7 This electrode has been operated at 15 to 17 A dm-2 in a 1000 A scale industrial cell for 19 months. The cell voltage was 9.5 V and polarization did not occur with this electrode. Characteristic points of this new carbon electrode are low polarizability and no anode effect, and the concentration of carbon tetrafluoride contaminating the fluorine is below 2 ppm. [Pg.166]

Since AG I or E is the driving force of any corrosion process (as of other cell reactions), it is important to know which factors that affect AG and the cell voltage. [Pg.16]

The cell chemistry is the driving factor for battery cost once the power and energy requirements have been specified. The relative cost of the active materials for specific cell chemistries clearly affects the end price of a battery. Perhaps more importantly, the performance of the cell chemistry directly impacts the material requirements, both active and inactive, that in turn determine the size of the manufacturing process. This subsection will explore the cormection between performance and cost to illustrate that high cell voltage and specific capacity with specific low impedance drives down costs in a multitude of ways. In other words, this section demonstrates that factors that increase energy and power density lower battery cost. [Pg.109]

Table 7. Factors affecting cell voltage the change in cell voltage A(/ n divided by the change in four important cell factors... Table 7. Factors affecting cell voltage the change in cell voltage A(/ n divided by the change in four important cell factors...
Degradation and durability of a PEM fuel cell or stack can be affected by many internal and external factors, including fuel cell design and assembly, operating conditions (e.g. humidification, temperature, cell voltage), impurities or contaminants in the feeds, environmental conditions (e.g. subffeezing or cold start), and operation modes (e.g. startup, shutdown, potential cycling). [Pg.287]

Predict any other factors that you think might affect the voltage of a galvanic cell. Describe an investigation you could complete to test your prediction. [Pg.511]

Factors affecting the selection of operating conditions are stack size, heat transfer rate, voltage level, load requirement, and cost. The performance curve is defined by cell pressure, temperature, gas composition, and utilization. Typical MCFCs will generally operate in the range of 100 to... [Pg.141]

The factors which affect the electrical output of a Leclanche cell may be divided into two groups (1) cell-dependent, e.g. construction, composition and size, and (2) user-dependent, e.g. discharge rate, cut-off voltage, operating schedule, operating temperature, storage conditions, etc. [Pg.79]

In gas-filled as well as scintillation detectors, the observed count rate is typically less than the actual decay rate of the radionuclide. The efficiency of detection may differ from particle to particle under identical conditions using the same type of detector. The factors that affect the efficiency of detection are operating voltage, resolving time, geometry of the instrument used in relation to the position of the sample with respect to the detector, scaler, energy resolution, absorption by cells, and sometimes constituents of the sample itself. [Pg.3088]

Fig. 20. Hypothetical model of how insulin secretion is regulated. The most important event is the depolarization of the B-cell which causes Ca"+ influx along L-type Ca2+ channels and subsequent increase in cytosolic Ca"+. Depolarization is produced by nutrient (glucose) metabolism via an increase in B-cell ATP and/or ATP/ADP ratio which closes KAXP channels. Also, sulphonylureas, at a distinct location, close KATP channels. The increase in [Ca2+]j activates CaCaMK. Ca2+ uptake appears to be modulated by nutrient metabolism (redox state of NAD(P)H and GSH). Insulin release in response to depolarization is also modulated by factors affecting PLC and adenylate cyclase. Here, production of IP3 leads to release of stored Ca2+ from the endoplasmic reticiulum. DAG activates PKC whereas cAMP activates PKA. CaMK, PKC and PKA cause protein phosphorylations which finally cause granule movement and exocytosis. But there will also be other effects of phosphorylations related to stimulus-secretion coupling, e.g. a possible interaction with voltage-dependent Ca2+ channels. Fig. 20. Hypothetical model of how insulin secretion is regulated. The most important event is the depolarization of the B-cell which causes Ca"+ influx along L-type Ca2+ channels and subsequent increase in cytosolic Ca"+. Depolarization is produced by nutrient (glucose) metabolism via an increase in B-cell ATP and/or ATP/ADP ratio which closes KAXP channels. Also, sulphonylureas, at a distinct location, close KATP channels. The increase in [Ca2+]j activates CaCaMK. Ca2+ uptake appears to be modulated by nutrient metabolism (redox state of NAD(P)H and GSH). Insulin release in response to depolarization is also modulated by factors affecting PLC and adenylate cyclase. Here, production of IP3 leads to release of stored Ca2+ from the endoplasmic reticiulum. DAG activates PKC whereas cAMP activates PKA. CaMK, PKC and PKA cause protein phosphorylations which finally cause granule movement and exocytosis. But there will also be other effects of phosphorylations related to stimulus-secretion coupling, e.g. a possible interaction with voltage-dependent Ca2+ channels.
These two factors also affect cyclic charging, which is done at higher voltages than for float, but not voltages so high that uniform, complete polarization is achieved for all cells on every charge. This is demonstrated graphically in Fig. 9.29 [3] for a... [Pg.289]

Piezocrystals can be used for biomass concentration estimation since the compressibility of a sample is a function of cell concentration and affects the voltage output of the crystal strongly [146]. A more promising technique is acoustic resonance densitometry (ARD) [147, 148]. In this method, the specific gravity or relative density of the cell-containing sample is measured. Blake-Coleman et al. report the application of this method during on-line biomass concentration estimation for cultivations of Erwinia chrysanthemi and E. coli [147, 148], while Kilburn et al. monitored mammalian cell cultures by ARD [149]. The measurements are affected by gas bubbles and foam and thus they must be performed in an external flow loop if these factors are significant. [Pg.338]


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