CHARACTERIZATION OF INSOLATION DATA FOR USE IN PHOTOVOLTAIC SYSTEM-ANALYSIS MODELS

被引：27

作者：

RAHMAN, S ^{[1
]}

KHALLAT, MA ^{[1
]}

SALAMEH, ZM ^{[1
]}

机构：

[1] UNIV LOWELL,DEPT ELECT ENGN,LOWELL,MA 01854

来源：

ENERGY | 1988年 / 13卷 / 01期

关键词：

Photovoltaic cells - Statistical methods - Systems analysis;

D O I：

10.1016/0360-5442(88)90079-5

中图分类号：

O414.1 [热力学];

学科分类号：

摘要：

A statistical technique to characterize insolation data for use in photovoltaic (PV) systems is presented. We start by examining the frequency distribution of long-term insolation data. The histogram is generated for observed insolation for a particular hour over a month for a number of years. It is fitted to three distributions (Weibull, beta and log normal). Four goodness-of-fit criteria are employed in checking the best fit. These are Chi-square, Kolmogorov-Smironov, Cramer-Von Mises-Smironov, and log-likelihood. SOLMET data from Sterling, Va, Raleigh-Durham, N. C. and Miami, Fla are analyzed. It is found that the beta distribution fits the long-term hourly global horizontal insolation data best for threse three southeastern U. S. locations.

引用

页码：63 / 72

页数：10