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
刚刚
刚刚
刚刚
hotmail完成签到,获得积分10
1秒前
2秒前
安详的惜梦完成签到 ,获得积分10
7秒前
melman发布了新的文献求助10
7秒前
感动的亦云完成签到,获得积分10
9秒前
9秒前
10秒前
22zxz应助半夏采纳,获得10
10秒前
10秒前
小鸟芋圆露露完成签到 ,获得积分10
10秒前
11秒前
11秒前
11秒前
12秒前
12秒前
李健应助温婉的香水采纳,获得10
12秒前
12秒前
12秒前
13秒前
qianlu完成签到 ,获得积分10
13秒前
glucose发布了新的文献求助10
16秒前
yongtao发布了新的文献求助10
18秒前
22秒前
星辰大海应助xxl采纳,获得10
22秒前
Mryuan完成签到,获得积分10
22秒前
月下荷花完成签到 ,获得积分10
23秒前
温酒筚篥完成签到,获得积分10
27秒前
29秒前
nito发布了新的文献求助10
30秒前
SM俊完成签到,获得积分10
31秒前
xxl发布了新的文献求助10
34秒前
35秒前
36秒前
36秒前
36秒前
36秒前
xiaofei应助00采纳,获得10
36秒前
高分求助中
(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
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Various Faces of Animal Metaphor in English and Polish 800
Signals, Systems, and Signal Processing 610
Superabsorbent Polymers: Synthesis, Properties and Applications 500
Photodetectors: From Ultraviolet to Infrared 500
On the Dragon Seas, a sailor's adventures in the far east 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6351127
求助须知:如何正确求助?哪些是违规求助? 8165778
关于积分的说明 17184330
捐赠科研通 5407305
什么是DOI,文献DOI怎么找? 2862894
邀请新用户注册赠送积分活动 1840413
关于科研通互助平台的介绍 1689539