Estimating Solar Radiation for IRAN by using an Optimum Model

نویسندگان

  • Shahram Javadi
  • Sam Moini
چکیده

Sunshine hours are the only long term, reliable and available measured information that can be used to reach highly accurate estimates of solar radiation values on the Earth surface. In this paper the sunshine duration is used to estimate monthly average daily solar radiation on a horizontal surface, it can be used to predict solar radiation in different climatic region of Iran. According to the Kopen classification of climate and considering the sunshine hours five climatic regions are identified for Iran. One of the best models that used sunshine duration to estimate monthly average daily solar radiation on a horizontal surface is the Angström model. Angström coefficients depend on geographical and meteorological parameters, The correlation equations developed are employed to calculate the monthly average daily global solar radiation for various location of Iran, By using the pyranometric stations solar radiation data(H) and the daily sunshine hours (n) will be measured sunshine recorders which were achieved by IRIMO and by calculating N,H0 from Angström equations and utilizing spss software ,a regression relation for this five region of Iran has been obtained.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Estimating and modeling monthly mean daily global solar radiation on horizontal surfaces using artificial neural networks

In this study, an artificial neural network based model for prediction of solar energy potential in Kerman province in Iran has been developed. Meteorological data of 12 cities for period of 17 years (1997–2013) and solar radiation for five cities around and inside Kerman province from the Iranian Meteorological Office data center were used for the training and testing the network. Meteorologic...

متن کامل

Estimating Solar Radiation and Developing Iran’s Atlas Map of Optimum Monthly Tilt Angle (TECHNICAL NOTE)

Iran has great potential in utilizing solar energy. In order to maximize the amount of absorbed solar radiation to absorber surfaces, the surfaces should be installed at a suitable angle slope to the horizon that is discussed in this article. The calculations performed in this study was done using MATLAB software. In this study, radiation received on the ground in 31 provincial capitals of the ...

متن کامل

Estimating Efficiency of Monocrystalline and Polycrystalline Photovoltaic Panels Using Neural Network Models

The energy production analysis of a  photovoltaic system depends on the panels tempreture and solar radiation. An endless and free source of solar energy received at the Earth's surface depends on the geographical location, different hours of day and seasons of the year.Hence, its correct evaluation is a strategic factor for the feasibility of a solar system. in this paper, a new method of ener...

متن کامل

A Novel Intelligent Water Drops Optimization Approach for Estimating Global Solar Radiation

Normal 0 false false false EN-US X-NONE AR-SA MicrosoftInternetExplorer4 Measurement of solar radiance demands expensive devices to be used. Alternatively, estimator models are used instead. In this paper, a new method based on the empirical equations is introduced to estimate the monthly average daily global solar radiation on a horizontal surface. The proposed method uses Intelligent Water ...

متن کامل

Global Solar Radiation Prediction for Makurdi, Nigeria Using Feed Forward Backward Propagation Neural Network

The optimum design of solar energy systems strongly depends on the accuracy of  solar radiation data. However, the availability of accurate solar radiation data is undermined by the high cost of measuring equipment or non-functional ones. This study developed a feed-forward backpropagation artificial neural network model for prediction of global solar radiation in Makurdi, Nigeria (7.7322  N lo...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2010