Analysis of the Sea Waves Energy Characteristics in the Black Sea Region

Bekirov, Eskender; Voskresenskaya, Svetlana; Asanov, Marlen; Murtazaev, E.R.

doi:10.1109/fareastcon50210.2020.9271464

Cited by 3 publications

(5 citation statements)

References 11 publications

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“…13a. Additionally, the other locations (2)(3)(4)(5)(6)(7)(8)(9) in the Gulf of Thailand provide large overall demands compared with the locations in the Andaman Sea as shown in Fig. 13 b) and Fig.…”

Section: Resultsmentioning

confidence: 99%

“…The article provides a method for calculating the area, volume, mass, phase velocity, and kinetic energy of sea waves based on the theory that the waveform is an inverted shortened cycloid [6]. In the Red Sea, the study aims to find the best location for installing wave energy converters (WEC) in the NEOM area, located in the Red Sea northern region, and to determine the most suitable converter system for harvesting wave energy using available data provided by KAUST [7]. In the Indian Ocean, the potential of wave energy has been studied around the island of Sri Lanka.…”

Section: Fig1 Flowchart Of Research Methodologymentioning

confidence: 99%

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An empirical model for forecasting electric generation for nearshore energy potential in Thailand

Phaiboon¹,

Phokharatkul²

2022

J Appl Eng Science

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This paper presents electrical energy forecasting from near shore wave potential in the Gulf of Thailand using an empirical model. An electric generator was installed on the near shore to perform measurements and create an empirical model for predicting electric generation. In order to forecast the capacity of the electric generation from sea waves with sufficient electricity consumption, the household data in the Gulf of Thailand and the Andaman Sea were collected from the year 2012 - 2019 to forecast the increasing rate of the number of households in the five years period (2021-2025). Cost and payback period were analyzed in each location in order to invest the renewable energy generation.

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Section: Resultsmentioning

confidence: 99%

Section: Fig1 Flowchart Of Research Methodologymentioning

confidence: 99%

An empirical model for forecasting electric generation for nearshore energy potential in Thailand

Phaiboon¹,

Phokharatkul²

2022

J Appl Eng Science

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“…The energy produced by the MRWT system is related to a coefficient called the coefficient of power (Cp), where the largest value of this coefficient is 0.59. This coefficient is related to the generator speed, pitch angle (β), wind speed and can be expressed by equation (6) [56].…”

Section: Mrwt Characteristicsmentioning

confidence: 99%

“…Several solutions have been proposed to generate power at the lowest cost and reduce global warming. These solutions are represented in the proposal of power generation systems powered by wind [3], solar energy [4], the potential energy of water [5], and sea waves [6]. Among these sources that are popular and widely spread across the world is wind energy [7], where wind energy participates in a large part of electric power generation around the world and this is done using wind energy through a wind turbine (WT) system that consists of three main components, including wind turbines, gear, and an electric generator [8].…”

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confidence: 99%

Direct Reactive and Active Power Regulation of DFIG using an Intelligent Modified Sliding-Mode Control Approach

2023

ijSmartGrid

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This work presents a novel direct reactive and active power control (DRAPC) of grid-connected doubly-fed induction generator (DFIG)-based dual-rotor wind power systems. The designed DRAPC technique employs an intelligent modified sliding mode controller (IMSMC) to directly calculate the required rotor control voltage so as to eliminate the power ripples and the instantaneous errors of reactive and active powers without involving any synchronous coordinate transformations. Thus, no extra current control loops are required, thereby simplifying the system design and enhancing the transient performance.The rotor inverter is controlled by traditional pulse width modulation, which eases the designs of the power converter and the AC harmonic filter. Simulation results on a 1.5-MW grid-connected DFIG system are provided and compared with those of the traditional DRAPC with proportional-integral controllers. The designed DRAPC technique provides enhanced transient performance similar to the traditional DRAPC technique and minimizes the current, active power, and torque ripples.

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“…In a huge number of countries that have a high potential for the energy of sea and ocean waves, intensive work is being carried out on the possibility of its promising use for generating electricity. According to Bekirov et al, 2 in the modern world, there is a need to develop an innovative device for the production of electrical energy from sea and ocean waves, this device belongs to the field of marine hydraulic engineering and is used to generate energy from sea and ocean waves into electrical energy. According to Abdurakhmanov and Bezzubtseva, 3 the introduction of sea and ocean wave energy converters can provide an opportunity to solve both the problems of power supply to consumers in remote areas located on the coast, and the issues of reducing emissions during energy generation.…”

Section: Introductionmentioning

confidence: 99%

Converting the energy of sea waves into electrical energy

Kassayeva,

Balekova,

Yerzhanov

2024

Env Prog and Sustain Energy

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The study is highly relevant as ocean waves hold significant potential for producing electricity. Improvements in production, usage and rectification of research errors are crucial for meeting the energy demands of diverse consumers. The aim of this work is to put forward recommendations for eliminating design and implementation errors in wave energy conversion systems, specifically for offshore power plants, and to analyze their performance. Various methods were employed, including the analytical method, classification method, functional method, statistical method, synthesis method, and others. During the study, the characteristics and differences of ocean waves were observed, along with an analysis of the errors that can occur during the operation of offshore power plants designed for wave energy production and their associated causes. Uncertainties affecting the development of these power stations were identified, and the potential of sea waves as an energy resource was examined. Recommendations for enhanced regulation were put forward. The practicality lies in applying the identified findings to rectify errors in offshore power stations that use sea waves. This guarantees reliable operation by considering various factors and assists in recommending the optimal use of energy resources.

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Analysis of the Sea Waves Energy Characteristics in the Black Sea Region

Cited by 3 publications

References 11 publications

An empirical model for forecasting electric generation for nearshore energy potential in Thailand

An empirical model for forecasting electric generation for nearshore energy potential in Thailand

Direct Reactive and Active Power Regulation of DFIG using an Intelligent Modified Sliding-Mode Control Approach

Converting the energy of sea waves into electrical energy

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