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Solar Radiation Intensity Data as Basis for Predicting Functioning Modes of Solar Power Plants

Solar Radiation Intensity Data as Basis for Predicting Functioning Modes of Solar Power Plants

Yuliia Daus, Valeriy Kharchenko, Igor Viktorovich Yudaev
Copyright: © 2018 |Pages: 27
ISBN13: 9781522538677|ISBN10: 1522538674|EISBN13: 9781522538684
DOI: 10.4018/978-1-5225-3867-7.ch012
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MLA

Daus, Yuliia, et al. "Solar Radiation Intensity Data as Basis for Predicting Functioning Modes of Solar Power Plants." Handbook of Research on Renewable Energy and Electric Resources for Sustainable Rural Development, edited by Valeriy Kharchenko and Pandian Vasant, IGI Global, 2018, pp. 283-309. https://doi.org/10.4018/978-1-5225-3867-7.ch012

APA

Daus, Y., Kharchenko, V., & Yudaev, I. V. (2018). Solar Radiation Intensity Data as Basis for Predicting Functioning Modes of Solar Power Plants. In V. Kharchenko & P. Vasant (Eds.), Handbook of Research on Renewable Energy and Electric Resources for Sustainable Rural Development (pp. 283-309). IGI Global. https://doi.org/10.4018/978-1-5225-3867-7.ch012

Chicago

Daus, Yuliia, Valeriy Kharchenko, and Igor Viktorovich Yudaev. "Solar Radiation Intensity Data as Basis for Predicting Functioning Modes of Solar Power Plants." In Handbook of Research on Renewable Energy and Electric Resources for Sustainable Rural Development, edited by Valeriy Kharchenko and Pandian Vasant, 283-309. Hershey, PA: IGI Global, 2018. https://doi.org/10.4018/978-1-5225-3867-7.ch012

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Abstract

The chapter presents express methods for estimating the solar energy potential at a given point on the basis of combining the solar radiation daily profile application method under clear skies and actinometrical data of the NASA electronic base. Such a new approach including the climatological conditions of the region, significantly reduces the calculation time, and improves the accuracy of the decisions with a minimum of initial data. For the speed and convenience of calculations based on the proposed methodology, it was implemented in the form of a computer program. The article also analyzes the influence of spatial orientation on the maximum electricity produced during the month, season and year and it reveals that the use of an optimal inclination angle for the specified periods of time makes it possible to realize the existing solar potential of the region at the same capital expenditures.

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