Smart model for accurate estimation of solar radiation

Achour, Lazhar; Bouharkat, Malek; Assas, Ouarda; Behar, Omar

doi:10.1007/s11708-017-0505-3

Cited by 3 publications

(3 citation statements)

References 23 publications

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“…Based on this study, suggestions for further work including estimating the global solar radiation in Putrajaya using other models and different time scales; standardizing statistical tools in evaluating results or validating models; investigating the effects of regional haze on global solar radiation in Putrajaya; investigating the effects of monsoon weather on global solar radiation and setting up a pyranometer at a location in Putrajaya to collect long term global solar radiation data. Other recommendations for future work of the proposed work including the adoption of smart model to improve the estimation [27], consider both direct and diffuse solar radiation [28]& [30], climatic parameters [29], adoption of genetic algorithm [31] and influence of environmental pollution [32].…”

Section: Discussionmentioning

confidence: 99%

Sunshine-based Global Solar Radiation Modelling: Case Study of Putrajaya, Malaysia

Tsung

2020

JEST

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Electricity demands are on the rise and with it, carbon dioxide emissions from many conventional power plants are increasing. In the efforts to mitigate such phenomena, the Malaysian government seeks to implement Building Integrated Photovoltaic (BIPV) projects. Early stage studies on Global Solar Radiation (GSR) have been carried out in several states in Malaysia including Penang, Kuala Lumpur and Kota Bharu. Afterward, data from the Malaysia Meteorological Department and the Malaysia National University have been used to estimate the monthly average daily global radiation in various locations in Malaysia. Putrajaya, a location which is implementing Malaysian Building Integrated Photovoltaic (MBIPV) is among the locations where a GSR study is currently absent. Conventional methods exist for GSR estimation with the aid of pyranometer. However, this method of GSR estimation is time consuming and not cost-effective practice. The main objective of this study is to estimate the GSR in Putrajaya. This is achieved in this study by utilizing sunshine-based data with calculated monthly average daily extraterrestrial radiation on a horizontal surface and monthly average maximum possible daily sunshine to plot a linearly fitted graph. Coefficients in the Angstrom-Prescott (A-P) model was generated from the plotted graph and was used for GSR estimation where a = 0.5 and b = 0.11. The mean percentage error (MPE) of the GSR estimation was found to be 3.4. Therefore, the estimation of GSR in Putrajaya have been successful for the first-time using sunshine-based data from dual locations method. The GSR estimation of Putrajaya in this study could benefit stakeholders in civil development sectors, policy and energy authorities.

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Section: Discussionmentioning

confidence: 99%

Sunshine-based Global Solar Radiation Modelling: Case Study of Putrajaya, Malaysia

Tsung

2020

JEST

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“…Many researchers have developed monthly mean global solar radiation models using several approaches that include classical empirical regression, artificial neural networks (ANN), and autoregressive moving-average (ARMA) time-series regression techniques [4]. In 1924 Angstrom proposed the first theoretical model to estimate monthly mean global solar radiation on horizontal surfaces based on sunshine duration [5].…”

Section: Introductionmentioning

confidence: 99%

“…Later in 1940, Prescott modified a formula of the Angstrom equation and focused on extraterrestrial radiation on a horizontal surface rather than on clear-day radiation. After that, many other models have been developed on the basis of the Angstrom-Prescott model by using meteorological, geographical and climatological parameters like relative humidity, cloudiness, latitude, altitude, air temperature, precipitation, and sunshine hours in order to estimate the monthly mean daily solar radiation of particular site [4]. Page provided the empirical coefficients of the modified Angstrom-type model, which has been claimed to be applicable in most parts of the world [6].…”

Section: Introductionmentioning

confidence: 99%

Comparative study of solar flux using different empirical models at low land urban industrial zone of Biratnagar Nepal

Limbu,

Tiwari,

Joshi

et al. 2023

Himalayan Physics

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Nepal is a developing country where sufficient clean energy is not available in our daily needs for cooking, lighting and other developmental activities. So, it is high time to promote clean and green energy, which is freely available in every corner of the country. In this regard, the present study helps to estimate the global solar radiation at the lowland region Biratnagar (lat. 26◦28′53′′N, long. 87◦15′50′′E and Alt. 72 m) using measured global solar radiation (GSR) and sunshine hours on empirical models. This paper uses the regression technique on two different empirical models Angstrom-Prescott(A-P) and Tiwari and Sangeeta, to estimate solar radiation. After analyzing the data on empirical models, the empirical constants 0.25 and 0.23 and 0.13 and 0.24 are found in A-P and Tiwari and Sangeeta models, respectively. The performance of the models was carried out by employing mean bias error (MBE), mean percentage error (MPE), root mean square error (RMSE) and adjusted coefficient of determination (R2). These statistical tools reveal that all these models are statistically significant. Such a study is relevant when reliable data for solar radiation is not adequately available. The findings of empirical coefficients can be utilized for predicting solar radiation and solar energy at similar geographical locations in Nepal.

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A New Approach for Estimating Monthly Global Solar Irradiation Based on Empirical and Artificial Neural Networks Models: A Case Study of Al-Hoceima Province, in Morocco North Region

Benamrou

Ouardouz

Allaouzi

et al. 2021

Advances in Science, Technology &Amp; Innovation

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Smart model for accurate estimation of solar radiation

Cited by 3 publications

References 23 publications

Sunshine-based Global Solar Radiation Modelling: Case Study of Putrajaya, Malaysia

Sunshine-based Global Solar Radiation Modelling: Case Study of Putrajaya, Malaysia

Comparative study of solar flux using different empirical models at low land urban industrial zone of Biratnagar Nepal

A New Approach for Estimating Monthly Global Solar Irradiation Based on Empirical and Artificial Neural Networks Models: A Case Study of Al-Hoceima Province, in Morocco North Region

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