Data for chlorophyll and anthocyanin dyes combination optimization using evolutionary computing

Published: 2 February 2021| Version 1 | DOI: 10.17632/tsj3mc8dwc.1
Ronnie II Concepcion


The uploaded file has six tabs pertaining to dye concentration optimization and characterizations. Tab 1 (AM1.5) presents the short-circuit current, open-circuit voltage, fill factor, efficiency, power, and cell resistance of the 9 fabricated DSSCs. Tab 2 (AM1.5 range) presents the photocurrent and power generated through voltage sweeping from -2 to 0 V. Tab 3 (Optimization) presents the characterization of selection rate, mutation rate, and crossover rate of genetic algorithm and evolutionary strategy in determining the fitness value and the best solution for green and violet dye concentrations that will give the maximum possible power efficiency. Tab 4 (FTIR) presents the raw data spectral analysis in the 4000 to 500 cm-1 range. Tab 5 (UV-Vis absorbance) presents the spectral absorbance of each dye combination without the optimization yield and the photon energy and absorption coefficient of dyes data. And Tab 6 (Stability) presents the 21-day stability test of pure green, pure violet, GA-based, and ES-based dyes without thermoplastic Surlyn jacket.



Dye-Sensitized Solar Cells, Computational Intelligence, Fourier Transform Infrared Spectroscopy, UV-Visible Spectroscopy, Photoelectrochemical Cell, Lettuce, Anthocyanins, Chlorophyll a, Evolutionary Algorithm