Accurate Efficiency Measurements for Emerging PV: A Comparison of NREL's Steady-State Performance Calibration Protocol Between Conventional and Emerging PV Technologies

校准 光伏系统 协议(科学) 计算机科学 稳态(化学) 环境科学 国家(计算机科学) 汽车工程 工程类 电气工程 物理 化学 医学 替代医学 物理化学 病理 量子力学 算法
作者
Tao Song,T. Moriarty,Dean H. Levi
标识
DOI:10.1109/pvsc40753.2019.9198951
摘要

Emerging PV technologies (e.g. Perovskite, and Quantum Dot) are commonly known to possess challenges for accurate performance measurement under the existing IEC 60904 series of standards, which were developed for conventional Si solar cells. Potential performance artifacts depending on scan rates and directions and light bias exposure history are often seen in those emerging solar cells. To avoid these artifacts and provide an unbiased and reliable efficiency measurement, NREL's Cell and Module Performance (CMP) Group has developed a steady-state performance calibration protocol - the asymptotic PMAX method. In this paper, we applied this procedure to four PV cell technologies, Si, CIGS, perovskite, and Quantum Dot (QD), and compared their performance variations between the transient and the steady-state conditions. By comparison, we found that the performance parameters ( i.e. VOC, ISC, FF, η) measured between fast I-V scans (and the asymptotic method (steady-state) change significantly for perovskite and QD cells. These changes do not happen for Si and CIGS cells. Furthermore, the statistical performance analysis on nearly 100 emerging cells received globally (including OPV, Perovskite, and QD) shows that over 70 % of the fast I-V scans have a relative performance deviation larger than 1% compared to those determined using the asymptotic PMAX scan. Given the complex dynamic behavior observed in emerging PV devices, the CMP group at NREL thus only certifies their steady steady-state performance using the Asymptotic PMAX method. We highly recommend similar steady-state performance calibration protocol for all researchers in emerging PV because accuracy in reported efficiencies is critical to the long-term success of those promising new PV technologies.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
秦槐关注了科研通微信公众号
刚刚
田様应助李子昂采纳,获得10
刚刚
浮雨微清完成签到,获得积分10
刚刚
科研通AI6.1应助MOON采纳,获得10
刚刚
傲慢葫芦发布了新的文献求助10
刚刚
CodeCraft应助任洪达采纳,获得10
刚刚
1秒前
1秒前
徐啊徐发布了新的文献求助10
1秒前
丘比特应助Maestro_S采纳,获得10
1秒前
1秒前
1秒前
2秒前
lz34217发布了新的文献求助10
2秒前
rputation完成签到,获得积分10
2秒前
情怀应助糟糕的念瑶采纳,获得10
2秒前
3秒前
乐乐乐发布了新的文献求助30
3秒前
甲基绿发布了新的文献求助10
3秒前
peipei发布了新的文献求助10
3秒前
3秒前
打工人完成签到,获得积分10
3秒前
glow完成签到,获得积分10
3秒前
薇儿发布了新的文献求助10
3秒前
4秒前
4秒前
量子星尘发布了新的文献求助10
4秒前
CodeCraft应助路飞采纳,获得10
4秒前
小熊发布了新的文献求助10
5秒前
5秒前
6秒前
852应助may采纳,获得30
6秒前
6秒前
希望天下0贩的0应助success采纳,获得10
6秒前
6秒前
默默紊发布了新的文献求助10
6秒前
6秒前
吕健发布了新的文献求助10
7秒前
小喜发布了新的文献求助10
7秒前
drchen发布了新的文献求助10
7秒前
高分求助中
2025-2031全球及中国金刚石触媒粉行业研究及十五五规划分析报告 40000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Introduction to strong mixing conditions volume 1-3 5000
Agyptische Geschichte der 21.30. Dynastie 3000
Les Mantodea de guyane 2000
Clinical Microbiology Procedures Handbook, Multi-Volume, 5th Edition 2000
„Semitische Wissenschaften“? 1510
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5751092
求助须知:如何正确求助?哪些是违规求助? 5466905
关于积分的说明 15368802
捐赠科研通 4890277
什么是DOI,文献DOI怎么找? 2629616
邀请新用户注册赠送积分活动 1577855
关于科研通互助平台的介绍 1534083