Nowcasting solar irradiance using the sunshine number

Paulescu, Marius; Mares, Oana; Paulescu, Eugenia; Stefu, Nicoleta; Pacurar, Angel; Calinoiu, Delia; Gravila, P. M.; Pop, Nicolina; Boata, Remus

doi:10.1016/j.enconman.2013.12.048

Cited by 31 publications

(13 citation statements)

References 25 publications

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“…In [1], we demonstrated that a large error occurs in the estimation of solar irradiance when the sunshine number is not correctly predicted. In this situation the measured and estimated solar irradiance do not correspond, due to the reflections caused by the clouds.…”

Section: Discussionmentioning

confidence: 99%

“…In [1] a method for estimating cloud transmittance is proposed. In that paper, the cloud transmittance is estimated with a simple linear regression for the computed versus the measured solar irradiance in a period prior to the forecasting moment.…”

Section: Cloud Transmittancementioning

confidence: 99%

“…The database provided by measurements done on the Solar Platform is recorded on a 15 seconds basis. In [1] the cloud transmittance was computed using 20 values of the global solar irradiance Gm, measured in an interval of 5 minutes prior to the forecasting moment. was evaluated by using a simple linear regression connecting the computed solar irradiance (G 0 , given by Eq.…”

Section: Mbementioning

confidence: 99%

“…In Ref [1] our team proposed a two-state model for forecasting solar irradiance: (a) if the sun is shining, the solar irradiance is computed using an empirical model based on long-term data measured in situ; (b) if the sun is covered by clouds, the clear sky solar irradiance is adjusted by a correction factor, τ, depending on the cloud transparency. The correction factor is being evaluated based on measurements performed during a short period of time prior to the moment of generating the forecast.…”

Section: Introductionmentioning

confidence: 99%

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Estimation of the cloud transmittance from radiometric measurements at the ground level

Costa

Mares

2014

AIP Conference Proceedings

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Abstract. The extinction of solar radiation due to the clouds is more significant than due to any other atmospheric constituent, but it is always difficult to be modeled because of the random distribution of clouds on the sky. Moreover, the transmittance of a layer of clouds is in a very complex relation with their type and depth. A method for estimating cloud transmittance was proposed in Paulescu et al. (Energ. Convers. Manage, 75 690-697, 2014). The approach is based on the hypothesis that the structure of the cloud covering the sun at a time moment does not change significantly in a short time interval (several minutes). Thus, the cloud transmittance can be calculated as the estimated coefficient of a simple linear regression for the computed versus measured solar irradiance in a time interval t. The aim of this paper is to optimize the length of the time interval t. Radiometric data measured on the Solar Platform of the West University of Timisoara during 2010 at a frequency of 1/15 seconds are used in this study.

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Section: Discussionmentioning

confidence: 99%

Section: Cloud Transmittancementioning

confidence: 99%

Section: Mbementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Estimation of the cloud transmittance from radiometric measurements at the ground level

Costa

Mares

2014

AIP Conference Proceedings

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“…However, the high efficiency and low cost is the key for large-scale application of CSP plant [27,28]. Besides, some researches focus on the solar radiation model and algorithm of the model for solar irradiation [29][30][31][32][33].…”

Section: Introductionmentioning

confidence: 99%

Calculation of aerosol optical depth in solar radiation for different meteorological conditions

Mao

Yuan

Zhang

et al. 2016

Env Prog and Sustain Energy

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A multitude of concentrating solar thermal power projects are currently being developed or proposed in many countries. Direct normal irradiance has an important impact on the optical-thermal conversion efficiency and rate of the plants. Though many researches focus on solar radiation, there are not many to emphasize variable air quality in different meteorological conditions. In this paper, aerosol optical depth of the atmosphere based on four wavelengths for three meteorological conditions in China has been experimented. To obtain solar radiation, two researches have been investigated as follows: the one is to calculate turbidity coefficients of the atmosphere according to Angstrom Law for different spectral aerosol optical depths, and another is to calculate the distribution characteristics of aerosol particles in the atmosphere and aerosol optical depths for the broadband using inversion method of experimental data. The results showed that the average value of turbidity coefficients for a clear day has a minimum of 0.9032 and the standard deviation has a maximum of 0.2870. The results also showed that the sizes of aerosol particle and aerosol optical depths for the broadband based on experimental values are different. The results can provide a reference to accurately calculate solar radiation.

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Global horizontal and direct normal solar irradiance modeling by the machine learning methods XGBoost and deep neural networks with CNN-LSTM layers: a case study using the GOES-16 satellite imagery

Rocha

Santos

2022

Int J Energy Environ Eng

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Nowcasting solar irradiance using the sunshine number

Cited by 31 publications

References 25 publications

Estimation of the cloud transmittance from radiometric measurements at the ground level

Estimation of the cloud transmittance from radiometric measurements at the ground level

Calculation of aerosol optical depth in solar radiation for different meteorological conditions

Global horizontal and direct normal solar irradiance modeling by the machine learning methods XGBoost and deep neural networks with CNN-LSTM layers: a case study using the GOES-16 satellite imagery

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