Validation of multiple tools for flat plate photovoltaic modeling against measured data

Photovoltaic Specialist Conference(2014)

引用 38|浏览2
暂无评分
摘要
In this validation study, comprehensive analysis is performed on nine photovoltaic systems for which NREL could obtain detailed performance data and specifications, including three utility-scale systems and six commercial-scale systems. Multiple photovoltaic performance modeling tools were used to model these nine systems, and the error of each tool was analyzed compared to quality-controlled measured performance data. This study shows that, excluding identified outliers, all tools achieve annual errors within ±8% and hourly root mean squared errors less than 7% for all systems. Finally, the acceptability of this range of annual error is discussed with regard to irradiance data uncertainty and the use of default loss assumptions, and two avenues are proposed to reduce photovoltaic modeling error.
更多
查看译文
关键词
mean square error methods,solar cells,nrel,commercial-scale systems,flat plate photovoltaic modeling,irradiance data uncertainty,multiple photovoltaic performance modeling tools,quality-controlled measured performance data,root mean squared errors,utility-scale systems,pv modeling error,pv*sol,pvwatts,pvsyst,system advisor model,photovoltaic models,validation,geometry,sam
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要