Abstract
The coupling of a numerically intensive model of a silicon solar cell with an optimization algorithm is developed. It is demonstrated that the computational burden of evaluating the optimal design of a solar cell can be significantly decreased if the model is appropriately adapted for use in an optimization environment. It is shown that the resulting tool is extremely useful for performing a systematic analysis of optimal efficiencies and associated optimal designs under different levels of technology and fabrication processes. The paper also demonstrates that true sensitivity analyses can be carried out only in an optimization context.
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