Review on mathematical models for the prediction of solar radiation
-
Published:2019-07-01
Issue:1
Volume:15
Page:56
-
ISSN:2502-4760
-
Container-title:Indonesian Journal of Electrical Engineering and Computer Science
-
language:
-
Short-container-title:IJEECS
Author:
Rajasekaran Meenal,Selvakumar A.Immanuel,Rajasekaran E.
Abstract
Global Solar Radiation (GSR) data is important for all solar energy based applications, mainly to forecast the output power of solar PV system in case of renewable energy integration in to the existing grid. The solar radiation components are measured using pyranometer, solarimeter, pyroheliometer and so on. It is not practically possible to install this radiation measuring instruments at all the locations due to the cost and difficulty in measurements. Hence the availability of solar radiation data is limited to few meteorological stations especially in the developing country like India. Therefore, it is necessary to develop mathematical models to predict the solar radiation to eliminate the costly pyranometer. In this paper, the review of mathematical models using trigonometric functions for the prediction of global solar radiation is presented. The mathematical models are applicable wherever the radiation data is unavailable. From the review results, it is concluded that mathematical model with both sine and cosine wave equation gives good prediction accuracy with correlation coefficient of 0.95
Publisher
Institute of Advanced Engineering and Science
Subject
Electrical and Electronic Engineering,Control and Optimization,Computer Networks and Communications,Hardware and Architecture,Information Systems,Signal Processing
Cited by
3 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Solar Radiation Forecasting: A Systematic Meta-Review of Current Methods and Emerging Trends;Energies;2024-06-26
2. An Improved MPPT Approach Using Artificial Neural Network for PV Grid System;2024 International Conference on Recent Advances in Electrical, Electronics, Ubiquitous Communication, and Computational Intelligence (RAEEUCCI);2024-04-17
3. A New Parameter Estimation Technique of Three‐Diode PV Cells;Handbook of Intelligent Computing and Optimization for Sustainable Development;2022-02-11