کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
300148 512470 2014 7 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
ARIMA and regression models for prediction of daily and monthly clearness index
موضوعات مرتبط
مهندسی و علوم پایه مهندسی انرژی انرژی های تجدید پذیر، توسعه پایدار و محیط زیست
پیش نمایش صفحه اول مقاله
ARIMA and regression models for prediction of daily and monthly clearness index
چکیده انگلیسی


• Global and diffuse solar radiations for the city of Mosul are analyzed.
• New empirical equations for estimating diffuse and global solar radiation are obtained.
• Time series ARIMA(2,1,1) model is developed for the daily clearness index.

Hourly and daily measurements of total and diffuse solar radiation and sunshine duration are analyzed. Three-year measurements of the available meteorological data in Mosul (latitude 36° 19′ N, longitude 43° 09′ E and 223 m above mean sea level) are used in this study. The present work involves two parts; in the first one, monthly mean daily and hourly of total and diffuse solar radiation are analyzed. The results show that the annual mean of the daily total and diffuse solar radiation is 5.11 and 1.6 kWh/m2 respectively. 57% of the days of the year are clear, while only 11.5% of the days are cloudy. Several empirical equations for estimating monthly mean daily global and diffuse solar radiation have been developed and compared with other available models. Ratio of average hourly to daily total solar radiation, for each month of the year is studied and compared with the theoretical results. In the second part, time-series model building using Box–Jenkins procedure to the daily clearness index is performed. The ARIMA(2,1,1) is developed for predication of daily clearness index.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Renewable Energy - Volume 68, August 2014, Pages 421–427
نویسندگان
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