Comparison of solar radiation models and their validation under Algerian climate – The case of direct irradiance

Behar, Omar; Khellaf, A.; Mohammedi, Kamal

doi:10.1016/j.enconman.2015.03.067

Cited by 174 publications

(62 citation statements)

References 31 publications

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“…The parametric models have been classified into two groups: simple models that are included less than three inputs (astronomical and geographical parameters) such as ASHRAE, Meinel, HLJ, etc., and complex models that are based on various parameters (the air mass, the ozone layer, aerosols, precipitable water and Linke turbidity factor) such as Bird family models. It is worth noting that simpler models can offer more accurate DNI data than complex models, in other words, an increase in the number of model inputs (e.g., atmospheric parameters) may not necessarily enhance the accuracy and performance of a model [22].…”

Section: Existing Models and Methodsmentioning

confidence: 99%

“…Accordingly, the hourly direct normal irradiance under various sky conditions for different geographical locations can be estimated based on the previous equations, which may contribute to compensate for lack of the solar dataset for a certain site. It should be noted that the availability of DNI dataset is essential to the design and operation of concentrated solar power technologies including central receiver, linear Fresnel, dish sterling and parabolic trough collector, particularly if the expected contribution of these technologies in the total renewable energy production would be about 50.34% by 2030 [22]. The hierarchical methodology is [8,47] (2) ASHRAE model [8,9] I DNI,HLJ = I oN aa [13,22] (3) HLJ model [22]…”

Section: A Hierarchical Calculation Methodologymentioning

confidence: 99%

“…(10) CSR model [22] summarized in Fig. 1, which can be used to predict DNI values in this work through testing fit accuracy of the selected models using statistical indicators and high-quality measured datasets.…”

Section: A Hierarchical Calculation Methodologymentioning

confidence: 99%

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Models and hierarchical methodologies for evaluating solar energy availability under different sky conditions toward enhancing concentrating solar collectors use: Texas as a case study

Al-Aboosi

2019

Int J Energy Environ Eng

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The precise estimation of solar radiation data is substantial in the long-term evaluation for the techno-economic performance of solar energy conversion systems (e.g., concentrated solar thermal collectors and photovoltaic plants) for each site around the world, particularly, direct normal irradiance which is utilized commonly in designing solar concentrated collectors. However, the lack of direct normal irradiance data comparing to global and diffuse horizontal irradiance data and the high cost of measurement equipment represent significant challenges for exploiting and managing solar energy. Consequently, this study was performed to develop two hierarchical methodologies by using various models, empirical correlations and regression equations to estimate hourly solar irradiance data for various worldwide locations (using new correlation coefficients) and different sky conditions (using cloud cover range). Additionally, the preliminary assessment for the potential of solar energy in the selected region was carried out by developing a comprehensive analysis for the solar irradiance data and the clearness index to make a proper decision for the capability of utilizing solar energy technologies. A case study for the San Antonio region in Texas was selected to demonstrate the accuracy of the proposed methodologies for estimating hourly direct normal irradiance and monthly average hourly direct normal irradiance data at this region. The estimated data show a good accuracy comparing with measured solar data by using locally adjusted coefficients and different statistical indicators. Furthermore, the obtained results show that the selected region is unequivocally amenable to harnessing solar energy as the prime source of energy by utilizing concentrating and non-concentrating solar energy systems.

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Section: Existing Models and Methodsmentioning

confidence: 99%

Section: A Hierarchical Calculation Methodologymentioning

confidence: 99%

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Models and hierarchical methodologies for evaluating solar energy availability under different sky conditions toward enhancing concentrating solar collectors use: Texas as a case study

Al-Aboosi

2019

Int J Energy Environ Eng

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“…The DNI is the main component of global irradiance used in solar concentrator projects (Blanc et al, 2014). Solar power concentrating systems are usually used in power generation and can generate between a few kW and up to 50 MW (Desai et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

Comparative Study of Different Models for Calculation of Dni

Lima

Souza

2018

RETERM

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For prospecting or design of Concentrating Solar Power (CSP) systems it is necessary to know the distribution of the Direct Normal Irradiance (DNI) of the region. However, due to the recurring operational problems of measuring instruments, the use of mathematical models estimating the local DNI can be a very useful tool. The objective of this work is to construct a mathematical model that is used in the calculation of the DNI using experimental data provided by the Laboratory of Tropical Environmental Variables (LAVAT/INPE). This model was compared with other mathematical models already present in the literature. The consideration of clean-sky was used, that is, the effects of cloudiness, among others, were neglected.

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“…Following Gueymard (Gueymard, 2014) and Behar et al (Behar, Khellaf, & Mohammedi, 2015), this indicator is used in order to show more information about the model deviation. Where, 1.96 is the coverage factor corresponding to the 95% confidence level, and SD is the standard deviation of the difference between the calculated and measured data.…”

Section: Sd Rmsementioning

confidence: 99%

Optimization of Windspeed Prediction Using an Artificial Neural Network Compared With a Genetic Programming Model

Deo

Ghimire

Downs

et al. 2018

Advances in Computational Intelligence and Robotics

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Comparison of solar radiation models and their validation under Algerian climate – The case of direct irradiance

Cited by 174 publications

References 31 publications

Models and hierarchical methodologies for evaluating solar energy availability under different sky conditions toward enhancing concentrating solar collectors use: Texas as a case study

Models and hierarchical methodologies for evaluating solar energy availability under different sky conditions toward enhancing concentrating solar collectors use: Texas as a case study

Comparative Study of Different Models for Calculation of Dni

Optimization of Windspeed Prediction Using an Artificial Neural Network Compared With a Genetic Programming Model

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