在染料敏感太阳能电池和光色太阳能电池中进行电解质优化的数据驱动建模
Johan Liotier1, Antonio J Riquelme1, Valid Mwalukuku1
1IRIG-SyMMES, Université Grenoble Alpes, CEA, CNRS, Grenoble INP, Grenoble 38000, France. renaud.demadrille@cea.fr.
Materials horizons
|March 7, 2025
概括
研究人员开发了用于染料敏感太阳能电池 (DSSC) 的新染料和优化的电解质,实现了用于玻璃应用的动态光传输和高效能量转换.
科学领域:
- 材料科学 材料科学 材料科学
- 可再生能源是可再生能源的来源.
- 太阳能光伏发电是如何实现的
背景情况:
- 染料敏感太阳能电池 (DSSC) 提供了半透明玻璃应用的潜力.
- 在DSSC中,光伏性能和光传输受着染料和电解质的影响.
- 光色染料使太阳能电池能够进行动态光传输,但需要定制的电解质.
研究的目的:
- 开发用于太阳能电池的新型光色染料.
- 为这些光色染料创建优化的电解质.
- 研究电解质配方,以提高透明度和光伏效率.
主要方法:
- 实验设计 (DoE) 与机器学习 (ML) 结合用于电解质优化.
- 描述新的光色染料的特性.
- 对基和TEMPO/TEMPO+氧化还原系统电解质的测试.
主要成果:
- 优化的基电解质实现了57%-23%的平均可见透射率 (AVT),光伏转换效率 (PCE) >2.9%.
- 基于TEMPO的电解质产生了光色细胞,55%-13%的AVT和高达3.46%的PCE.
- 一种基于TEMPO的电解质与非光色染料实现了7.64%的PCE.
结论:
- 一种基于ML的方法有效地优化了光色DSSCs的电解质.
- 定制的电解质显著提高了用于动态玻璃的DSSC的性能.
- 使用光色和非光色染料,使用优化的基于TEMPO的电解质实现了高PCE.
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