A Global Solar Radiation Model for the Design of Solar Energy Systems

2008 ◽  
Vol 1 (3) ◽  
pp. 231-238 ◽  
Author(s):  
Ridha Fethi Mechlouch ◽  
Ammar Ben Brahim
Keyword(s):  
Solar Radiation ◽  
Solar Energy ◽  
Energy Systems ◽  
Global Solar Radiation ◽  
Radiation Model ◽  
Solar Radiation Model

scholarly journals Evaluation and Comparison of Temperature-Based Models for The Prediction of The Monthly Average of Daily Global Solar Radiation for Baghdad City- Iraq

2020 ◽  
pp. 533-539
Author(s):  
Awras H. Ajil
Keyword(s):  
Solar Radiation ◽  
Solar Energy ◽  
Meteorological Data ◽  
Global Solar Radiation ◽  
Radiation Model ◽  
Climate Conditions ◽  
First Order ◽  
Monthly Average ◽  
Suitable Climate ◽  
Solar Radiation Model

The solar energy is the major source of power for the future and an important source of renewable energy in Iraq and the world. Suitable climate conditions for solar energy are available in Iraq, especially the high temperature in the summer season which extends for more than six months in the year. Hence, the global solar radiation is abundant with high intensity, which is very essential in applicable models for researchers and solar applications. Therefore, nine first-order regression empirical equations of Angstrom-type correlations were used to estimate the more appropriate global solar radiation model for Baghdad city. Two equations were developed empirically in this work, using the most available and easy to get meteorological data, which is the temperature value in various forms. The results of the comparison between the real and calculated values showed reasonable agreement for most equations (including the development of R2- at 99%) as well as the least values of types of errors RMSE and MBE. As an exception, two equations of models failed in this study because of inability to apply to such climate conditions of Baghdad city.

Review of empirical solar radiation models for estimating global solar radiation of various climate zones of China

2019 ◽  
Vol 44 (2) ◽  
pp. 168-188
Author(s):  
Shaban G Gouda ◽  
Zakia Hussein ◽  
Shuai Luo ◽  
Qiaoxia Yuan
Keyword(s):  
Solar Radiation ◽  
Solar Energy ◽  
Computational Cost ◽  
Energy Systems ◽  
Global Solar Radiation ◽  
Empirical Models ◽  
Dew Point ◽  
Machine Learning Techniques ◽  
Accurate Information ◽  
Input Parameters

Utilizing solar energy requires accurate information about global solar radiation (GSR), which is critical for designers and manufacturers of solar energy systems and equipment. This study aims to examine the literature gaps by evaluating recent predictive models and categorizing them into various groups depending on the input parameters, and comprehensively collect the methods for classifying China into solar zones. The selected groups of models include those that use sunshine duration, temperature, dew-point temperature, precipitation, fog, cloud cover, day of the year, and different meteorological parameters (complex models). 220 empirical models are analyzed for estimating the GSR on a horizontal surface in China. Additionally, the most accurate models from the literature are summarized for 115 locations in China and are distributed into the above categories with the corresponding solar zone; the ideal models from each category and each solar zone are identified. Comments on two important temperature-based models that are presented in this work can help the researchers and readers to be unconfused when reading the literature of these models and cite them in a correct method in future studies. Machine learning techniques exhibit performance GSR estimation better than empirical models; however, the computational cost and complexity should be considered at choosing and applying these techniques. The models and model categories in this study, according to the key input parameters at the corresponding location and solar zone, are helpful to researchers as well as to designers and engineers of solar energy systems and equipment.

scholarly journals A Modified Method to Generate Typical Meteorological Years from the Long-Term Weather Database

2012 ◽  
Vol 2012 ◽  
pp. 1-9 ◽  
Author(s):  
Haixiang Zang ◽  
Qingshan Xu ◽  
Pengwei Du ◽  
Katsuhiro Ichiyanagi
Keyword(s):  
Relative Humidity ◽  
Solar Radiation ◽  
Solar Energy ◽  
Atmospheric Pressure ◽  
Energy Systems ◽  
Global Solar Radiation ◽  
Weather Data ◽  
Radiation Data ◽  
Modified Method

A modified typical meteorological year (TMY) method is proposed for generating TMY from practical measured weather data. A total of eleven weather indices and novel assigned weighting factors are applied in the processing of forming the TMY database. TMYs of 35 cities in China are generated based on the latest and accurate measured weather data (dry bulb temperature, relative humidity, wind velocity, atmospheric pressure, and daily global solar radiation) in the period of 1994–2010. The TMY data and typical solar radiation data are also investigated and analyzed in this paper, which are important in the utilizations of solar energy systems.

Effects of Aspect Ratios on Average Daily Solar Energy Collection for Different Flat-Plate Collector Arrays in Winter Months

2013 ◽  
Vol 368-370 ◽  
pp. 1228-1231
Author(s):  
Fen E Hu ◽  
Sheng Xian Wei ◽  
Neng Bang Hou
Keyword(s):  
Solar Radiation ◽  
Solar Energy ◽  
Aspect Ratio ◽  
Flat Plate ◽  
Solar Collector ◽  
Radiation Model ◽  
Aspect Ratios ◽  
Solar Radiation Model ◽  
Flat Plate Collector

A solar radiation model to determine solar energy collection on solar collector array with different aspect ratios has been developed. The relations between the aspect ratio and the average daily solar radiation collection on the collector array have been deeply studied. The results show that there is an optimum aspect ratio to maximize the solar energy collection on the collector arrays. The optimum aspect ratios of the 1000 m2 collector array for Haikou, Kunming, Lhasa and Beijing are 10/1, 1/3, 5/1 and 10/1.The optimum aspect ratios of 1000 m2, 500 m2, 200 m2 and 100 m2 collector arrays for Kunming are 1/3, 3/1, 7/1 and 1/5, respectively.

scholarly journals Half-hour global solar radiation forecasting based on static and dynamic multivariate neural networks

2021 ◽  
Vol 9 (2) ◽  
Author(s):  
Mohammed Ali Jallal ◽  
◽  
Samira Chabaa ◽  
Abdelouhab Zeroual ◽  
◽  
...  
Keyword(s):  
Neural Network ◽  
Solar Radiation ◽  
Solar Energy ◽  
Meteorological Parameters ◽  
Energy Systems ◽  
Global Solar Radiation ◽  
Acquisition Time ◽  
Feedback Connection ◽  
Intelligent Models ◽  
The City

Precise global solar radiation (GSR) measurements in a given location are very essential for designing and supervising solar energy systems. In the case of rarity or absence of these measurements, it is important to have a theoretical or empirical model to compute the GSR values. Therefore, the main goal of this work is to offer, to designers and engineers of solar energy systems, an appropriate and accurate way to predict the half-hour global solar radiation (HHGSR) time series from some available meteorological parameters (relative humidity, air temperature, wind speed, precipitation, and acquisition time vector in half-hour scale). For that purpose, two intelligent models are developed: the first one is a multivariate dynamic neural network with feedback connection, and the second is a multivariate static neural network. The database used to build these models was recorded in Agdal’s meteorological station in Marrakesh, Morocco, during the years of 2013 and 2014, and it was divided into two subsets. The first subset is used for training and validating the models, and the second subset is used for testing the efficiency and the robustness of the developed models. The obtained results, in terms of the statistical performance indicators, demonstrate the efficiency of the developed forecasting models to accurately predict the HHGSR parameter in the city of Marrakesh, Morocco.

scholarly journals Effects of orientation and structure on solar radiation interception in Chinese solar greenhouse

PLoS ONE ◽  
2020 ◽  
Vol 15 (11) ◽  
pp. e0242002
Author(s):  
Demin Xu ◽  
Yiming Li ◽  
Yue Zhang ◽  
Hui Xu ◽  
Tianlai Li ◽  
...  
Keyword(s):  
Solar Radiation ◽  
Solar Energy ◽  
Structural Parameters ◽  
Limiting Factor ◽  
Radiation Model ◽  
Horizontal Projection ◽  
Radiation Interception ◽  
Ridge Height ◽  
Solar Greenhouse ◽  
Solar Radiation Model

In order to further improve the utilization of solar energy in Chinese Solar Greenhouse (CSG), this paper systematically studied the effects of orientation and structure on solar radiation interception in CSG. A solar radiation model has been developed based on the previous research, which taking solar motion law, meteorological data, and optical properties of materials into consideration. The established model was used to optimize the orientation and structure of CSG. The analysis of structure considered two major structural parameters, which are the ridge height and the horizontal projection of the rear roof. Moreover, the widely used Liao-Shen type Chinese solar greenhouse (CSG-LS) has been taken as the prototype in the present research, and the measured data of the typical clear day was used for the model validation. The results showed that the ridge height has a remarkable influence on the solar energy captured by CSG-LS. Compared with the optimization of a single factor, the comprehensive optimization of orientation and structure can increase the solar radiation interception of the rear wall by 3.95%. Considering the limiting factor of heat storage-release capacity and the shading effect on the greenhouse structure, the optimal lighting construction of the CSG-LS (with a span of 9.0 m) was specified as 7~9° from south to west of azimuth angle, 4.5~4.7 m ridge height, and 1.4~1.6 m horizontal projection of the rear roof at 42°N latitude. The proposed solar radiation model can provide scientific guidance for the CSG-LS construction in different areas.

Modeling and Analysis of Solar Energy Collected by High Altitude Solar UAV’s Surface

2014 ◽  
Vol 644-650 ◽  
pp. 234-237
Author(s):  
Yi Zhang ◽  
Long Bin Liu ◽  
Dong Xu Liu
Keyword(s):  
Solar Radiation ◽  
Solar Energy ◽  
Infrared Light ◽  
Total Power ◽  
Solar Panels ◽  
Radiation Model ◽  
Modeling And Analysis ◽  
Aircraft Model ◽  
Solar Radiation Model ◽  
Solar Powered

This paper proposed a numerical model to investigate the characteristics of solar energy collected by the UAV’s surface in different flight conditions. The novel model consists of a solar radiation model and a solar-powered aircraft model. The solar radiation model describes the process of the sunlight (including visible and infrared light) reaching the surface of the panels, and key effective factors are included. The solar-powered aircraft model describes a conventional layout fixed wing aircraft model with solar panels on the upper surface of the wing. The whole model was solved numerically by a computer program developed with C language to calculate the total power that the panels absorbed under different conditions. The visual and numerical results were presented and discussed in details.

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