Review of Models for Estimating and Predicting the Amount of Energy Produced by Solar Energy Systems

V. Simankov; P. Buchatskiy; S. Onishchenko; S. Teploukhov

doi:doi:10.2205/2023ES02SI01

VAK Russia 1.6 UDC 55 CSCSTI 37.00 CSCSTI 38.00 BISAC SCI

Review of Models for Estimating and Predicting the Amount of Energy Produced by Solar Energy Systems

Published в Russian Journal of Earth Sciences · Volume 23, Issue 5, 2023 · Pages 1–17 · Rubrics: SPECIAL ISSUE: "FUNDAMENTAL AND APPLIED ASPECTS OF GEOLOGY, GEOPHYSICS AND GEOECOLOGY"

DOI 10.2205/2023ES02SI01

Received: 20.10.2023 Accepted: 27.11.2023 Published: 15.12.2023 Language of publication: ENG

Authors

V. Simankov ¹ iD · P. Buchatskiy ² iD · S. Onishchenko ³ iD · S. Teploukhov ⁴ iD

1 Kuban State University of Technology
Russian Federation

2 Adyghe State University
Russian Federation

3 Adyghe State University
Russian Federation

4 Adyghe State University
Russian Federation

ABSTRACT

Energy production based on renewable sources is a fundamental aspect of society’s sustainable development. The involvement of renewable energy sources in the implementation of modern energy systems can significantly reduce the amount of harmful emissions into the atmosphere and provide greater flexibility of energy infrastructure. The first step in determining the feasibility of involving a particular energy source in the overall energy system of the region is a preliminary assessment of the energy potential to determine the possible percentage of substitution of traditional energy. To solve this problem, it is necessary to use the models of energy supply, which are currently presented in a wide variety. In this regard, this paper proposes to consider various models for estimating the solar energy potential, which can be divided into empirical models and models based on the application of modern intelligent data analysis technologies. Such models are based on many different climatic and geographical indicators, such as: longitude of sunshine, ambient temperature, serial number of the day of the current year, amount of precipitation, average and maximum values of wind speed and so on. The paper analyzed the existing models for estimating the amount of energy, which can be used in the system designed to determine the most optimal configuration of the energy system based on the use of various conversion technologies most relevant to the case under study, and also serve as the basis for creating digital twins designed to model and optimize the operation of the projected energy complex

KEYWORDS

potential assessment models smart models renewable energy solar energy

Information Text

Authors:

1. Kuban State University of Technology

Russian Federation

2. Adyghe State University

Russian Federation

3. Adyghe State University

Russian Federation

4. Adyghe State University

Russian Federation

Type:

Article

Pages:

from 1 to 17

Status:

Published

Subject area:

VAK Russia 1.6
UDC 55
CSCSTI 37.00
CSCSTI 38.00
BISAC SCI SCIENCE

Language:

English

Keywords:

potential assessment models, smart models, renewable energy, solar energy

Funding

No funding

Text

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