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14 декабря, 2021
The optimization process proceeds to obtain the maximum efficiency of the MIS/IL solar cell by optimizing the cell parameters. The optimization process depends on the number of iterations needed to achieve the maximum efficiency of the cell. After 40 iterations (Fig.6), the efficiency reaches a maximum steady state value of 22.95 %. Table 1. shows the parameters required to achieve the this efficiency (data(1)). The table also includes the results of the optimization process by using aluminum as a contact metal ^m = 4.1). In this case, only five parameters are used for optimization (data(2)). The results of the optimization process when using aluminum as metal contact and with no external back bias (V=0) (is shown in data
(3) ). The optimization results are compared with a theoretical optimization based on an analysis of structure parameters [7]. The comparison has shown good agreement of the genetic algorithm optimization with the other mentioned method as shown in Table 2.
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Metal |
Semiconductor |
Fig.1. Schematic diagram of MIS/IL solar cell structure |
Insulator |
Deplation region
Fig.2. Energy band diagram of MIS/IL Solar cell
Actual start value 0 0 0 0 Actual end value 1 1 1 1 Fig.4. The binary encoding of the MIS/IL solar cell parameters |
Fig.5. The flow chart of the genetic algorithm for MIS/IL solar cells |
Fig.3. Structure of MIS/IL solar cell parameters chromosome |
MIS/IL Parameters chromosome |
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Fig.6. The optimization process during 40 iterations. |
Table 2. The comparison between three optimization process
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Table 1. Parameters required to achieve the optimum efficiency
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