Prediction of global solar radiation potential for sustainable and cleaner energy generation using improved Angstrom-Prescott and Gumbel probabilistic models

Nwokolo, Samuel Chukwujindu; Amadi, Solomom Okechukwu; Obiwulu, Anthony Umunnakwe; Ogbulezie, Julie C.; Eyibio, Effiong E.

doi:10.1016/j.clet.2022.100416

Cited by 30 publications

(20 citation statements)

References 51 publications

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“…From the experimental results, geographic location, meteorological systems, and atmospheric conditions influenced the parameter values [6,34,35]. The astronomical radiant fraction that reaches the Earth's surface on a cloudy day is, according to the literature, influenced by atmospheric conditions such as humidity, dust content, cloud type and thickness, and pollutant concentration [36].…”

Section: Atmospheric Factors Militating the A-p Parametersmentioning

confidence: 99%

“…The AP model was developed not only to expand energy applications in response to the need for adequate knowledge of available solar resources, but also to study numerous atmospheric physical parameters in which sunlight scattering, reflections, and diffractions influence the variation of AP coefficients in different parts of the world [6]. Paulescu et al [7] identified two categories of algorithms for predicting solar energy using AP coefficients: (1) prediction of global solar irradiance under a clear sky; and (2) physical fit of clear sky estimates to the current sky state based on sunshine duration measurements.…”

Section: Introductionmentioning

confidence: 99%

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Effects of Angstrom-Prescott and Hargreaves-Samani Coefficients on Climate Forcing and Solar PV Technology Selection in West Africa

Agbor

Udo

Ewona³

et al. 2023

Tr Ren Energy

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We evaluated and compared the performance of simulated Angström-Prescott (AP) and Hargreaves-Samani (HS) models on monthly and annual timescales using generalized datasets covering the entire West African region. The fitted AP model yielded more efficient parameters of a = 0.366 and b = 0.459, whereas the HS model produced a 0.216 coefficient based on an annual timescale, which is more suitable in the region compared to coefficients recommended by the Food and Agriculture Organization (FAO) (a = 0.25 and b = 0.5) and HS (0.17), respectively. Employing the FAO and HS recommended coefficients will introduce a relative percentage error (RPE) of 18.388% and 27.19% compared to the RPEs of 0.0014% and 0.1036% obtained in this study, respectively. When considering time and resource availability in the absence of ground-measured datasets, the coefficients obtained in this study can be used for predicting global solar radiation within the region. According to the AP and HS coefficients, the polycrystalline module (p-Si) is more reliable than the monocrystalline module (m-Si) because the p-Si module has a higher tendency to withstand the high temperatures projected to affect the region due to its higher intrinsic properties based on the AP and HS coefficients assessment in the region.

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Section: Atmospheric Factors Militating the A-p Parametersmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Effects of Angstrom-Prescott and Hargreaves-Samani Coefficients on Climate Forcing and Solar PV Technology Selection in West Africa

Agbor

Udo

Ewona³

et al. 2023

Tr Ren Energy

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“…The total of the incident and diffuse radiation represents the solar flux at the surface of the globe. Accordingly, global solar radiation (H_g) and can be represented by the following equation [31]:…”

Section: Solar Energy Assessmentmentioning

confidence: 99%

Development of wind-solar maps in Aqaba, Jordan as potential sources for power generation

Al-Ghriybah¹,

Didane²

2023

J Appl Eng Science

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The potential for free, clean, and limitless energy from renewable sources has long been recognized. However, because of a lack of thorough wind and solar maps, expertise, and public understanding of the significance of these resources in the country, Jordan continues to rely on non-renewable sources for its energy needs. The main objective of this study is to analyze the potential of solar and wind energies as renewable resources for power generation. Weibull distribution function with two parameters and the Angstrom-Prescott model, respectively, are used in this study to offer estimates of the wind and solar energy in the coastal city of Jordan, Aqaba during a five-year period. According to the assessment of wind potential, the annual means of the shape and scale parameters at 10 m for the studied station varied between (1.65 to 1.73) and (4.42 to 4.86), respectively. During the dry season, the wind speed was seen to be stronger, while during the wet season, it was seen to be slower. The maximum power density is found to be in September with values of 622.81 W/m2 and 192.74 W/m2 for the elevations 80 m and 10 m, respectively. According to the forecast for solar potential in this area, the city's global solar radiation is promising for the production of solar energy. The maximum global solar radiation is found to be 8.3 KWh/m2 in June. Results also demonstrated that Aqaba city is suitable for wind and solar power generation.

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“…The type 𝐼 distribution, also known as the Gumbel distribution, has two forms: one for maxima and one for minima. The maximum form is predominant because it has more application in various fields, such as energy, environment, fatigue studies, and so on [37][38][39][40][41]. The minimum form has been studied less, since the type 𝐼𝐼𝐼 or Weibull distribution has been more often used for such applications [21,36].…”

Section: Gumbel Mixture Modelmentioning

confidence: 99%

Gumbel mixture modelling for multiple failure data

Nagode

Oman²,

Klemenc³

et al. 2023

Reliability Engineering & System Safety

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Prediction of global solar radiation potential for sustainable and cleaner energy generation using improved Angstrom-Prescott and Gumbel probabilistic models

Cited by 30 publications

References 51 publications

Effects of Angstrom-Prescott and Hargreaves-Samani Coefficients on Climate Forcing and Solar PV Technology Selection in West Africa

Effects of Angstrom-Prescott and Hargreaves-Samani Coefficients on Climate Forcing and Solar PV Technology Selection in West Africa

Development of wind-solar maps in Aqaba, Jordan as potential sources for power generation

Gumbel mixture modelling for multiple failure data

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