Solar Microsystem Production and Design

This Special Issue on solar power system planning and design includes 14 publications from esteemed research groups worldwide. The research and review papers in this Special Issue fit in the following broad categories: resource assessment, site evaluation, system design, performance assessment, and feasibility study. 2. Resource Assessment

The distribution of applications in design and fabrication of solar cells assisted by ML techniques is shown in Figure 7. ML techniques have been mostly applied in optimization of device structures and optimization of fabrication processes, indicating ML techniques are more suitable for these two applications.

In Ref. 125 - 127, fabrication process conditions of Si solar cell such as texturing time, amount of N 2, DI water, diffusion time, and temperature were optimized using ANN in combination with GA and PSO, respectively. The amount of N 2, DI water, and diffusion time optimized by the two approaches was considerably different.

Photovoltaic (PV) and concentrated solar power (CSP) systems for the conversion of solar energy into electricity are—in particular—technologically robust, scalable, and geographically dispersed, and they possess enormous potential as sustainable energy sources [ 2 ].

The validity of the proposed method has been demonstrated because it has achieved a recognition rate of 98% for more than 1 000 images. To track the trends of ML techniques applied in the design and fabrication of solar cell, the literatures over the last 12 years are quantitative analyzed.

Different nanometer-scale processes, which contribute to the degradation of perovskite solar cell, have been identified. It was found that the migration of iodine into the hole transport layer, spiro-OMeTAD, toward the gold electrode resulted in a severe degradation of the perovskite solar cell.