Yang Boping, Gong Guanfei, Chen Jiangzhao
School of Mathematics, Physics and Optoelectronics Engineering, Hubei University of Automotive Technology, Shiyan, 442002, China.
Faculty of Materials Science and Engineering, Kunming University of Science and Technology, Kunming, 650093, China.
Sci Rep. 2025 Feb 13;15(1):5327. doi: 10.1038/s41598-025-86058-z.
As an emerging photovoltaic technology, hybrid perovskite solar cells (PSCs) have achieved excellent performance through rapid development in recent years. High power conversion efficiency (PCE) and excellent stability further promote the commercialization of PSCs. To date, the perovskite light-harvesting active materials are diversified and the device fabrication process is also various. Considered the fabrication costs and steps of PSCs based on different active materials, the quantitative valuation of different hybrid PSCs with PCE above 20% is implemented using data envelopment analysis (DEA) for the first time. This valuation mainly focuses on the inputs (cost and fabrication steps) and outputs (PCE and stability). No weights are needed during the whole analytical process. This ensures the convenience and ease of operation of the analysis, promoting the universality of this method. The results show a detailed analysis of different PSCs from an economic perspective and develop a new way to evaluate PSCs. Meanwhile, the results and this novel valuation method will provide promising guidance for the commercialization of PSCs.
作为一种新兴的光伏技术,混合钙钛矿太阳能电池(PSC)近年来通过快速发展取得了优异的性能。高功率转换效率(PCE)和出色的稳定性进一步推动了PSC的商业化。迄今为止,钙钛矿光捕获活性材料多种多样,器件制造工艺也各不相同。考虑到基于不同活性材料的PSC的制造成本和步骤,首次使用数据包络分析(DEA)对PCE高于20%的不同混合PSC进行了定量评估。该评估主要关注输入(成本和制造步骤)和输出(PCE和稳定性)。在整个分析过程中不需要权重。这确保了分析的便利性和易操作性,促进了该方法的通用性。结果从经济角度对不同的PSC进行了详细分析,并开发了一种评估PSC的新方法。同时,结果和这种新颖的评估方法将为PSC的商业化提供有前景的指导。