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Optimized synthesis and photovoltaic performance of TiO_2 nanoparticles for dye-sensitized solar cell
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作者 Siti Nur Fadhilah Zainudin Masturah Markom +2 位作者 Huda Abdullah Renata Adami Siti Masrinda Tasirin 《Particuology》 SCIE EI CAS CSCD 2013年第6期753-759,共7页
This paper presents response surface methodology (RSM) as an efficient approach for modeling and optimizing TiO2 nanoparticles preparation via co-precipitation for dye-sensitized solar cell (DSSC) perfor- mance. T... This paper presents response surface methodology (RSM) as an efficient approach for modeling and optimizing TiO2 nanoparticles preparation via co-precipitation for dye-sensitized solar cell (DSSC) perfor- mance. Titanium (IV) bis-(acetylacetonate) di-isopropoxide (DIPBAT), isopropanol and water were used as precursor, solvent and co-solvent, respectively. Molar ratio of water, aging temperature and calcina- tion temperature as preparation factors with main and interaction effects on particle characteristics and performances were investigated, Particle characteristics in terms of primary and secondary sizes, crys- tal orientation and morphology were determined by X-ray diffractometry (XRD) and scanning electron microscopy (SEM). Band gap energy and power conversion efficiency of DSSCs were used for perfor- mance studies. According to analysis of variance (ANOVA) in response surface methodology (RSM), all three independent parameters were statistically significant and the final model was accurate. The model predicted maximum power conversion efficiency (0.14%) under the optimal condition of molar ratio of DIPBAT-to-isopropanol-to-water of 1 : 10:500, aging temperature of 36 C and calcination temperature of 400 ℃. A second set of data was adopted to validate the model at optimal conditions and was found to be 0.14 ± 0.015%, which was very close to the predicted value. This study proves the reliability of the model in identi(ving the optimal condition for maximum performance. 展开更多
关键词 Titanium dioxide Hydrolysis precipitation Dye-sensitized solar cell Optimization Response surface methodology
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