Comparative Analysis of Simulation Models for Network Photovoltaic Power Plants

Тарасенко, А. Б.; Киселева, С. В.; Popel, O. S.; Frid, S. E.; Gabderakhmanova, Tatiana; Авезова, Н. Р.; Simonov, V. M.; Suleimanov, M. Zh.

doi:10.3103/s0003701x20030111

Cited by 9 publications

(4 citation statements)

References 12 publications

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“…This is because an increase in temperature leads to an increase in the recombination of charge carriers inside the panel. High temperatures can cause deformation of materials, internal thermal stresses, and the formation of microcracks [6][7][8]. As a result, the panel may lose its tightness and partially or completely fail.…”

Section: Introductionmentioning

confidence: 99%

The effect of solar radiation on solar panels located in the open and placed in the shade of a building

Kuchkarov,

Muminov,

Frid

et al. 2024

BIO Web Conf.

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Section: Introductionmentioning

confidence: 99%

The effect of solar radiation on solar panels located in the open and placed in the shade of a building

Kuchkarov,

Muminov,

Frid

et al. 2024

BIO Web Conf.

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“…Для частных исследовательских задач отдельными научными группами разрабатываются собственные программные продукты. Обзоры характеристик и анализ применения различных расчетных инструментов для климатических условий России приведены в работах [Tarasenko et al, 2020[Tarasenko et al, , Габдерахманова, 2019.…”

unclassified

“…где P STC -номинальная мощность модуля, Вт, gтемпературный коэффициент мощности модуля, °С-1 , T op = T + (A/800)(N oct -20) -рабочая температура фотоэлектрических преобразователей (ФЭП) в составе модуля, N oct -равновесная температура ФЭП (паспортная характеристика). Алгоритм расчета был верифицирован на основе фактической производительности солнечных сетевых станций РФ в работе [Tarasenko et al, 2020].…”

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“…Безусловно, в пределах территории района могут наблюдаться локальные вариации в приходе солнечной радиации, которые на данном уровне исследований не учитываются. Ранее проведенные оценки [Tarasenko et al, 2020] показывают, что пространственные вариации производительности станций в указанных границах ячейки сетки не превышают 10%.…”

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Resources Availability for Solar Microgeneration and Its Economic Efficiency in the Regions of Russia

Skafarik,

Kiseleva

2023

Lomonosov Geography Journal

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Measures to support electricity generation at low-power plants using the renewable energy sources as well, which were introduced in the Russian Federation, actualized the task of assessing the effectiveness of such legislative initiatives. The paper presents and tests a methodology for assessing the performance and economic efficiency of network photovoltaic stations, depending on physical-geographical and socio-economic factors. The results of assessing the potential performance of stations in various regions of Russia, obtained on the basis of archives of data on incoming solar radiation for the period from 2010 to 2020, are presented with one hour resolution. It is shown that economic efficiency of Solar Microgeneration Stations (SMS) in the study areas varies widely depending on the combination of such factors as the amount of solar radiation, retail and wholesale electricity tariffs, and the regime of electricity consumption by SMS owners. Despite significant solar energy resources, the payback period of photovoltaic stations in the regions of Southern Siberia (Irkutsk, Ulan-Ude) turned out to be the longest among all areas under study because of the established tariffs for electricity sale and purchase. Optimal conditions for the operation of such stations are characteristic only for the regions of Russia that belong to non-price zones and territorially isolated energy systems of the wholesale market (Magadan and Kaliningrad regions, Kamchatka, Primorsky Krai), where high wholesale electricity prices make the payback expectable within the guaranteed life of the station equipment (20 years).

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Strategic integration of residential electricity: An optimisation model for solar energy utilisation and carbon reduction

Pan,

Ocłoń,

et al. 2024

Energy

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Comparative Analysis of Simulation Models for Network Photovoltaic Power Plants

Cited by 9 publications

References 12 publications

The effect of solar radiation on solar panels located in the open and placed in the shade of a building

The effect of solar radiation on solar panels located in the open and placed in the shade of a building

Resources Availability for Solar Microgeneration and Its Economic Efficiency in the Regions of Russia

Strategic integration of residential electricity: An optimisation model for solar energy utilisation and carbon reduction

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