Adjustment of the Angstrom-Prescott equation from Campbell-Stokes and Kipp-Zonen sunshine measures at different timescales in Spain

Almorox, Javier; Arnaldo, Javier; Bailek, Nadjem; Martí, Pau

doi:10.1016/j.renene.2020.03.023

Cited by 24 publications

(16 citation statements)

References 46 publications

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“…These classical methods commonly apply indirect approaches and empirical relationships like Angstrom [1], Glover and McCulloch [2], Paulescu [3], and Almorox [4]. Improved methods have been described by Perez [5], and Kamali [6].…”

Section: Classical Solar Resource Data Modeling Approachesmentioning

confidence: 99%

Solar Radiation Estimation Using Data Mining Techniques for Remote Areas—A Case Study in Ethiopia

2020

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High quality of solar radiation data is essential for solar resource assessment. For remote areas this is a challenge, as often only satellite data with low spatial resolution are available. This paper presents an interpolation method based on topographic data in digital elevation model format to improve the resolution of solar radiation maps. The refinement is performed with a data mining method based on first-order Sugeno type Adaptive Neuro-Fuzzy Inference System. The training set contains topographic characteristics such as terrain aspect, slope and elevation which may influence the solar radiation distribution. An efficient sampling method is proposed to obtain representative training sets from digital elevation model data. The proposed geographic information system based approach makes this method reproducible and adaptable for any region. A case study is presented on the remote Amhara region in North Shewa, Ethiopia. Results are shown for interpolation of solar radiation data from 10 km × 10 km to a resolution of 1 km × 1 km and are validated with data from the PVGIS and SWERA projects.

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Section: Classical Solar Resource Data Modeling Approachesmentioning

confidence: 99%

Solar Radiation Estimation Using Data Mining Techniques for Remote Areas—A Case Study in Ethiopia

2020

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“…In most aforementioned papers, the climate variables are used to estimate solar radiation on a horizontal plane, or the horizontal solar radiation is used as an input variable to estimate radiation on a tiled surface [15][16][17]. In this paper, we estimated hourly tilted solar irradiation using climate variables.…”

Section: Introductionmentioning

confidence: 99%

Hybrid Ensemble-Learning Approach for Renewable Energy Resources Evaluation in Algeria

El-kenawy¹,

Ibrahim²,

Bailek³

et al. 2022

Computers, Materials &Amp; Continua

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In order to achieve a highly accurate estimation of solar energy resource potential, a novel hybrid ensemble-learning approach, hybridizing Advanced Squirrel-Search Optimization Algorithm (ASSOA) and support vector regression, is utilized to estimate the hourly tilted solar irradiation for selected arid regions in Algeria. Long-term measured meteorological data, including mean-air temperature, relative humidity, wind speed, alongside global horizontal irradiation and extra-terrestrial horizontal irradiance, were obtained for the two cities of Tamanrasset-and-Adrar for two years. Five computational algorithms were considered and analyzed for the suitability of estimation. Further two new algorithms, namely Average Ensemble and Ensemble using support vector regression were developed using the hybridization approach. The accuracy of the developed models was analyzed in terms of five statistical error metrics, as well as the Wilcoxon rank-sum and ANOVA test. Among the previously selected algorithms, K Neighbors Regressor and support vector regression exhibited good performances. However, the newly proposed ensemble algorithms exhibited even better performance. The proposed model showed relative root mean square errors lower than 1.448% and correlation coefficients higher than 0.999. This was further verified by benchmarking the new ensemble against several popular swarm intelligence algorithms. It is concluded that the proposed algorithms are far superior to the commonly adopted ones.

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“…A forma mais precisa de se obter a radiação global é fazer a medida diretamente com um pirômetro em estações automáticas ou, em sua falta, pode ser estimada por modelos empíricos que relacionam variáveis de simples medição como a insolação (n) e a radiação global (Almorox et al 2020). No Brasil o Instituto Nacional de Meteorologia (INMET) é o órgão governamental responsável por coletar informações meteorológicas e disponibilizar esses dados, porém, em função da grande dimensão territorial e pelo grande número de dados ausentes na série histórica (principalmente da radiação global) que em algumas estações chegam a 41% como em Souza et al (2019), modelos empíricos ajustados são necessários.…”

Section: Introductionunclassified

“…Um dos modelos mais utilizado e preciso até então, foi proposto por Angström-Prescott (kt = a + b (RI)) que relaciona linearmente a razão de insolação (RI) com a transmissividade atmosférica (kt) e deve ser ajustado para cada local, gerando um coeficiente linear (a), que representa a radiação difusa, e o coeficiente angular (b), que representa a radiação direta (Almorox et al 2020, Angström, 1924, Ibid et al 2020, Prescott, 1940. O modelo original de Angström-Prescott vem sendo modificado com a inserção de polinômios de segundo e terceiro grau, logaritmo, seno, cosseno e exponencial da RI, a fim de melhorar o seu desempenho, porém na maioria das vezes essa modificação não proporciona uma melhoria (Almorox et al 2020.…”

Section: Introductionunclassified

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Estimativa da radiação global pelo modelo de Angström-Prescott para Tocantins

Martim

Nogueira

Guia

et al. 2020

RSD

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The objective of the work was to determine the coefficients (a and b) of the Angström-Prescott equation and to determine the error in the estimate of global radiation for cities in the state of Tocantins. Meteorological data were obtained from the National Meteorological Institute (INMET) for the cities of Araguaína, Palmas, Pedro Afonso and Peixe, which were subjected to a filter and subsequently separated 70% for the generation of coefficients and 30% for validation (MBE, RMSE ed). The linear coefficients (a) ranged from 0.2291 to 0.3074 and angular (b) from 0.4295 to 0.4799 with a correlation between global radiation and insolation above 90%, where in the validation the error (MBE) ranged from 0.01 to 0.06 MJ m-2 d-1, spreading from 1.59 to 1.87 MJ m-2 d-1 and concordance index from 0.95 to 0.96. Individual Angström-Prescott coefficients can be used for each city evaluated with a correlation above 90%.

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Adjustment of the Angstrom-Prescott equation from Campbell-Stokes and Kipp-Zonen sunshine measures at different timescales in Spain

Cited by 24 publications

References 46 publications

Solar Radiation Estimation Using Data Mining Techniques for Remote Areas—A Case Study in Ethiopia

Solar Radiation Estimation Using Data Mining Techniques for Remote Areas—A Case Study in Ethiopia

Hybrid Ensemble-Learning Approach for Renewable Energy Resources Evaluation in Algeria

Estimativa da radiação global pelo modelo de Angström-Prescott para Tocantins

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