Compositional analysis alternative models

Among the multivariate statistical techniques that have been used as source-receptor models, factor analysis is the most widely employed. The basic objective of factor analysis is to allow the variation within a set of data to determine the number of independent causalities, i.e. sources of particles. It also permits the combination of the measured variables into new axes for the system that can be related to specific particle sources. The principles of factor analysis are reviewed and the principal components method is illustrated by the reanalysis of aerosol composition results from Charleston, West Virginia. An alternative approach to factor analysis. Target Transformation Factor Analysis, is introduced and its application to a subset of particle composition data from the Regional Air Pollution Study (RAPS) of St. Louis, Missouri is presented. 

The base case conditions for the model are shown in Table 8.9, with the reformer outlet fuel composition shown in Table 8.10. The conditions are similar to those given for a 260 kW thermodynamic model by Campanari [21], with a 207 kW output for the fuel cell and 53 kW for the turbine alternator. There is a considerable difference between the alternator power in this model (130 kW) and Campanari s (53 kW). The model in this study uses external heating for the reformer so that its heat load is not included in the analysis, which accounts for the discrepancy. 

In the majority of numerical calculations of the anomalous frequency behavior of such composites (in particular, near the percolation threshold pc) under the action of an alternating current, lattice (discrete) models have been used, which were studied in terms of the transfer-matrix method [91,92] combined with the Frank-Lobb algorithm [93], Numerical calculations and the theoretical analysis of the properties of composites performed in Refs. 91-109 have allowed significant progress in the understanding of this phenomenon however, the dielectric properties of composites with fractal structures virtually have not been considered in the literature. 

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