光伏系统
软件部署
可再生能源
辐照度
计算机科学
数据集
集合(抽象数据类型)
基线(sea)
数据建模
太阳辐照度
可靠性工程
数据库
工程类
电气工程
气象学
地理
操作系统
地质学
人工智能
物理
程序设计语言
海洋学
量子力学
作者
Bill Marion,A. Anderberg,Chris Deline,J. del Cueto,Matthew Muller,Greg Perrin,Jose Rodriguez,S. Rummel,Timothy J. Silverman,Frank Vignola,Rich Kessler,Josh Peterson,Stephen Barkaszi,Mark E. Jacobs,Nick Riedel,Lawrence E Pratt,Bruce H. King
出处
期刊:2017 IEEE 44th Photovoltaic Specialist Conference (PVSC)
日期:2014-06-01
卷期号:: 1362-1366
被引量:75
标识
DOI:10.1109/pvsc.2014.6925171
摘要
A new publicly available data set was completed for use in validating models that estimate the performance of flat-plate photovoltaic (PV) modules. The data were collected for one-year periods at three climatically diverse locations (Cocoa, Florida; Eugene, Oregon; and Golden, Colorado) and for PV modules representing all technologies available in 2010 when the work began. The same makes and models of PV modules were tested at all locations and common data acquisition systems were used with calibrations performed at the National Renewable Energy Laboratory. For use in determining model parameters and coefficients, baseline and post-deployment measurements were performed indoors with solar simulators, including per the requirements of IEC 61853 Part 1: Irradiance and Temperature Performance Measurements and Power Ratings. Outdoors, the PV modules were characterized per the requirements of the Sandia array performance model. A user's manual describes the contents of the data set and how to access the data.
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