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钙钛矿太阳电池光暗循环稳定性数据集

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国家基础学科公共科学数据中心2026-01-30 收录
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https://nbsdc.cn/general/dataDetail?id=684581d8195d262d3d6126d3&type=1
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在全球清洁能源转型的大趋势下,钙钛矿太阳电池因成本优势和高光电转换效率潜力成为研究热点,但光暗循环稳定性问题阻碍其产业化进程。本钙钛矿太阳电池光暗循环稳定性数据集由中国科学院半导体研究所2020-2024年实验产出,包含电池制备及光暗循环测试数据。数据采集涵盖特定工艺制备电池及规范的光暗循环测试流程,经严格噪声剔除、多参数关联验证和长时间序列稳定性评估,可靠性高。借助自主搭建的模拟平台和实时监测技术,获取电池在多场景光暗循环下的稳定性数据。基于这些数据,在产业化中可提升产品在复杂光环境下的稳定性和寿命,降低环境影响,推动其在分布式能源系统、智能建筑光伏一体化、便携式光伏设备等领域应用,加速商业化。还能助力研究环境因素与电池性能的作用机制,推动材料优化、界面工程改进和封装技术研发。数据集应用广泛,包括太空探索能源供应、应急救援光伏设备及农业光伏设施等领域,具有重要创新和实用价值。

Against the global trend of clean energy transition, perovskite solar cells have emerged as a research hotspot owing to their cost advantages and high photoelectric conversion efficiency potential, yet their stability under light-dark cycles has hindered their industrialization process. This dataset focusing on the light-dark cycle stability of perovskite solar cells was generated through experiments conducted by the Institute of Semiconductors, Chinese Academy of Sciences from 2020 to 2024, encompassing data on battery preparation and light-dark cycle testing. The data collection covers batteries fabricated via specific processes and follows standardized light-dark cycle test procedures; the dataset features high reliability after undergoing rigorous noise removal, multi-parameter correlation verification, and long-term time-series stability assessment. Leveraging independently built simulation platforms and real-time monitoring technologies, stability data of the batteries under multi-scenario light-dark cycles were acquired. Based on this dataset, the stability and service life of perovskite solar cell products in complex light environments can be enhanced during industrialization, reducing environmental impacts, promoting their application in fields such as distributed energy systems, intelligent building photovoltaic integration, portable photovoltaic devices, and accelerating their commercialization. Additionally, it can facilitate research into the mechanism by which environmental factors affect battery performance, driving advancements in material optimization, interface engineering, and packaging technology. The dataset has wide-ranging applications, including energy supply for space exploration, photovoltaic equipment for emergency rescue, and agricultural photovoltaic facilities, holding significant innovative and practical value.
提供机构:
中国科学院半导体研究所
搜集汇总
数据集介绍
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背景与挑战
背景概述
该数据集由中国科学院半导体研究所于2020-2024年实验产出,针对钙钛矿太阳电池在光暗循环下的稳定性问题,包含电池制备与光暗循环测试数据。它旨在支持产业化应用,提升电池在复杂光环境下的性能与寿命,推动商业化进程。
以上内容由遇见数据集搜集并总结生成
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