Genetic Algorithm Application for the Optimization of Solid State Devices using a Novel Modeling Technique
Abstract
A new method for developing a realistic
physical model of any type of solid state device is
presented. Application to model advanced multi-junction
solar cells; Thermo-photovoltaics; sensors; as well as
other novel solid state devices are introduced in this
presentation. The primary goal of multijunction solar
cell design is to maximize the output power for a given
solar spectrum. The construction of multijunction cells
places the individual junction layers in series, thereby
limiting the overall output current to that of the junction
layer producing the lowest current. The solution to
optimizing a multijunction design involves both the
design of individual junction layers which produce an
optimum output power and the design of a series-stacked
configuration of these junction layers which yields the
highest possible overall output current. This paper
demonstrates the use of Genetic Algorithm in a two-part
process to refine a given multijunction solar cell design
for near-optimal output power for a desired light
spectrum. This approach can similarly be utilized to
optimize the parameters of any Solid state device to yield
any desired performance.
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.Collections
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