Mathematical Model of Solar Radiation Incident on an Arbitrarily Oriented Surface for Any Region in Russia

Обухов, С. Г.; Plotnikov, I. A.

doi:10.15518/isjaee.2017.16-18.043-056

Cited by 9 publications

(11 citation statements)

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“…According to [22], the day number (N) can be simplified from 365 days (full year) to 12 days to provide a representative monthly average, which presents an accurate estimation for solar radiation analysis [23]. This monthly average relationship is given in Table 2.…”

Section: Mathematical Modelmentioning

confidence: 99%

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Estimation of Solar Resource Based on Meteorological and Geographical Data: Sonora State in Northwestern Territory of Mexico as Case Study

et al. 2020

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A model developed at the University of Tomsk, Russia, for high latitudes (over 55° N) is proposed and applied to the analysis and observation of the solar resource in the state of Sonora in the northwest of Mexico. This model utilizes satellite data and geographical coordinates as inputs. The objective of this research work is to provide a low-cost and reliable alternative to field meteorological stations and also to obtain a wide illustration of the distribution of solar power in the state to visualize opportunities for sustainable energy production and reduce its carbon footprint. The model is compared against real-time data from meteorological stations and satellite data, using statistical methods to scrutinize its accuracy at local latitudes (26–32° N), where a satisfactory performance was observed. An annual geographical view of available solar radiation against maximum and minimum temperatures for all the state municipalities is provided to identify the photovoltaic electricity generation potential. The outcomes are proof that the model is economically viable and could be employed by local governments to plan solar harvesting strategies. The results are generated from an open source model that allows calculating the available solar radiation over specific land areas, and the application potential for future planning of solar energy projects is evident.

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Section: Mathematical Modelmentioning

confidence: 99%

“…Table 2. Day numbers per month according to [22,23]. The declination angle of the Sun (δ) is the angular relationship between the solar position at solar noon and the equatorial plane, where: northwards (+) and southwards (−).…”

Section: Mathematical Modelmentioning

confidence: 99%

Estimation of Solar Resource Based on Meteorological and Geographical Data: Sonora State in Northwestern Territory of Mexico as Case Study

et al. 2020

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“…В настоящей работе для построения временного ряда солнечной радиации G(t) используется комбинированная модель, в которой часть параметров рассчитывается по аналитическим выражениям, а часть определяется с помощью эмпирических коэффициентов, полученных из базы данных NASA [11]…”

Section: формирование временных рядов данныхunclassified

“…Используемая в настоящих исследованиях модель солнечной радиации подробно описана в работе [11]. Особенностью модели является использование в качестве исходных данных численных значений индекса прозрачности атмосферы и альбедо поверхности, полученных из базы данных NASA.…”

Section: формирование временных рядов данныхunclassified

“…Необходимость создания такой методики отмечается авторами работ [9,10], посвященных решению аналогичных научно-исследовательских задач. Отличительной особенностью разработанной методики является использование для прогнозирования солнечной радиации оригинальной модели на базе данных Национального управления по аэронавтике и исследованию космического пространства (National Aeronautics and Space Administration -NASA) [11] и применение функции обратного распределения Вейбулла для прогнозирования суточного хода скорости ветра.…”

Section: Introductionunclassified

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