A Comparison of Models for Estimating Solar Radiation from Sunshine Duration in Croatia

Betti, Tihomir; Zulim, Ivana; Brkić, Slavica; Tuka, Blanka

doi:10.1155/2020/9605950

Cited by 7 publications

(3 citation statements)

References 17 publications

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“…Moreover, in Croatia [35], a research study concentrated on several models that are used for estimating solar radiation. www.ijacsa.thesai.org These models assessed based on seven meteorological stations dataset, where the models studied, compared and evaluated to find out the best accuracy.…”

Section: Literature Reviewmentioning

confidence: 99%

Forecasting the Global Horizontal Irradiance based on Boruta Algorithm and Artificial Neural Networks using a Lower Cost

Alresheedi¹,

Abdullah²

2020

IJACSA

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More solar-based electricity generation stations have been established markedly in recent years as new and an important source of renewable energy. That is to ensure a more efficient, reliable integration of solar power to overcome several challenges such as, the future forecasting, the costly equipment in the metrological stations. One of the effective prediction methods is Artificial Neural Networks (ANN) and the Boruta algorithm for optimal attributes selection, to train the proposed prediction model to obtain high accurate prediction performance at a lower cost. The precise goal of this research is to predict the Global Horizontal Irradiance (GHI) by building the ANN model. Also, reducing the total number of GHI prediction attributes/features consequently reducing the cost of devices and equipment required to predict this important factor. The dataset applied in this research is real data, collected from 2015-2018 by solar and meteorological stations in KSA. It provided by King Abdullah City for Atomic and Renewable Energy (KA CARE). The findings emphasize the achievement of accurate predictions of solar radiation with a minimum cost, which is considered to be highly important in KSA and all other countries that have a similar environment.

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Section: Literature Reviewmentioning

confidence: 99%

Forecasting the Global Horizontal Irradiance based on Boruta Algorithm and Artificial Neural Networks using a Lower Cost

Alresheedi¹,

Abdullah²

2020

IJACSA

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“…All these methods represent more than 294 models around the world [38]. Recently, to find the valid estimation model for a site, several comparison works have been carried out, such as Betti et al's work in Croatia [39], Wang et al's work [40] in China, and Chukwujindu's work in Africa [32].…”

Section: Introductionmentioning

confidence: 99%

Development of New Models for the Estimation of Hourly Components of Solar Radiation: Tests, Comparisons, and Application for the Generation of a Solar Database in Morocco

Benchrifa

Tadili

Idrissi

et al. 2021

International Journal of Photoenergy

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All studies of solar systems need the hourly values of solar fluxes related to the different components of solar radiation. However, for most sites, measurements are not available. The goal of this paper is to establish an hourly solar radiation data bank for the entirety of Morocco. This data bank will contain the energetic components (global, diffuse, direct, and inclined solar radiation) and the spectral components (ultraviolet I UV , infrared I IR , and photosynthetically active radiation I PAR ). To create this database, in the beginning, we build up models for predicting the various components of the hourly solar radiation, from measurements provided by the different stations owned by the Laboratory of Solar Energy and Environment (LESE). Then, these equations will be verified by using statistical tests. Moreover, we compared our results with those obtained by similar studies. Finally, based on the daily database of global radiation provided by the Laboratory of Solar Energy and Environment, we created an hourly database that unites the various components of solar radiation over 10 years for the entirety of Morocco. Regarding the validity study, the statistical indicators showed that the used models have minimal errors that do not exceed, for the global radiation, -2.93% in Rabat, -3.9% in Tangier,-3.28% in Marrakech, and -0.85% in Fez, and for diffuse radiation, -1.09% in Rabat, -0.68% in Fez,-3.08% in Tangier, and -2.49% in Marrakech. These results show the good quality of the used estimation models. Thus, the data bank that we have realized will fill the gap of the hourly solar data and will meet the needs of engineers, installers of solar systems, and researchers who often need an extensive database.

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“…The results showed that, the sunshine-based models were more accurate than the temperature-based models and the BC model is recommended to estimate both daily and monthly average daily when only temperature data are available. Tihomir et al (2020) [10] assessed the performance of seventeen sunshine-duration-based models at Croatia. The study found that the Rietveld model was found to perform the best overall, followed by Soler and Dogniaux-Lemoine monthly dependent models.…”

Section: Introductionmentioning

confidence: 99%

Solar radiation estimation using sunshine hours for hot and humid climate of Konkan region

Ingle¹,

Jagtap²,

Bhange³

et al. 2020

Int. J. Chem. Stud.

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The accurate knowledge of the solar radiation intensity at a given location is of importance to the development solar system design, crop modeling and input to other modeling purpose. In the present study an attempt was made to estimate the different components of solar radiation such Ra, Rs, Rnl, Rns, Rn using methodology suggested by FAO-56 method based on the sunshine hours and temperatures for Alibag station using 24 years weekly climatic data with 1240 observations. The correlation analysis showed that net solar radiations (Rn) showed maximum positive correlation coefficient was observed for sunshine hours followed by maximum and minimum temperature. These results indicated that the different components of solar radiation are highly influenced by sunshine hours followed by maximum temperature. This correlation analysis is helpful for development of empirical equations under limited or lack of climatic parameters. The study also found that the different component of solar radiation such as extraterrestrial radiation (Ra), clear sky solar radiation (Rso), Net shortwave solar radiation (Rns), Net long wave solar radiation (Rnl), Net solar radiation (Rn) estimated by FAO-56 method can be used for crop modeling and input to other models. The derived weekly values had revealed the more error during monsoon season which might be due to cloudy conditions and heavy rainfall. The study also developed linear regression equation Rn = 0.652*Tmean + 0.635*SSH-10.874 which can be used for prediction of solar radiation with considerable accuracy during the summer and winter season when compared with FAO-56 method.

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A Comparison of Models for Estimating Solar Radiation from Sunshine Duration in Croatia

Cited by 7 publications

References 17 publications

Forecasting the Global Horizontal Irradiance based on Boruta Algorithm and Artificial Neural Networks using a Lower Cost

Forecasting the Global Horizontal Irradiance based on Boruta Algorithm and Artificial Neural Networks using a Lower Cost

Development of New Models for the Estimation of Hourly Components of Solar Radiation: Tests, Comparisons, and Application for the Generation of a Solar Database in Morocco

Solar radiation estimation using sunshine hours for hot and humid climate of Konkan region

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