Review of Estimating and Predicting Models of the Wind Energy Amount

Vladimir Simankov, Pavel Buchatskiy, Semen Teploukhov, Stefan Onishchenko, Anatoliy Kazak () and Petr Chetyrbok
Additional contact information
Vladimir Simankov: Department of Cybersecurity and Information Security, Institute of Computer Systems and Information Security, Kuban State Technological University, Krasnodar 350072, Russia
Pavel Buchatskiy: Department of Automated Information Processing and Management Systems, Adyghe State University, Maykop 385000, Russia
Semen Teploukhov: Department of Automated Information Processing and Management Systems, Adyghe State University, Maykop 385000, Russia
Stefan Onishchenko: Department of Automated Information Processing and Management Systems, Adyghe State University, Maykop 385000, Russia
Anatoliy Kazak: Humanitarian Pedagogical Academy, V.I. Vernadsky Crimean Federal University, Simferopol 295007, Russia
Petr Chetyrbok: Humanitarian Pedagogical Academy, V.I. Vernadsky Crimean Federal University, Simferopol 295007, Russia

Energies, 2023, vol. 16, issue 16, 1-24

Abstract: Obtaining wind energy for the production of electric energy plays a key role in overcoming the problems associated with climate change and the dwindling reserves of traditional types of energy resources. The purpose of this work is to analyze current methods of energy estimation and forecasting, to consider the main classifications of forecasts and methods used in their construction and to review the main types of mathematical distributions used to calculate the speed and power of wind flow, depending on specific geographical conditions. In recent years, there has been an increase in the capacity of modern wind generators, which has significantly improved the efficiency of wind energy parks. The initial stage 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, allowing one to determine the possible percentage of substitution of traditional energy. To solve such a problem, it is necessary to use models of energy supply. Evaluation of wind as a resource creates certain difficulties in modeling because this resource is stochastic and variable. In this regard, this paper proposes to consider various models for estimating wind energy potential, which can be classified into empirical models and models based on the application of modern intelligent data analysis technologies. The paper presents an analysis of the existing models for estimating the amount of energy, which can be used in a system designed to determine the most optimal configuration of the energy system based on the use of different conversion technologies most relevant to the case under study, and it also serves as the basis for creating digital twins designed to model and optimize the operation of the projected energy complex.

Keywords: energy potential assessment models; intelligent models; renewable energy sources; wind energy (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
https://www.mdpi.com/1996-1073/16/16/5926/pdf (application/pdf)
https://www.mdpi.com/1996-1073/16/16/5926/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:16:y:2023:i:16:p:5926-:d:1214599

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().