Şebeke Seviyesinde Enerji Depolama Uygulamaları için Uygun Teknoloji Seçimi Metodolojisi Önerilmesi

Aydin, Rıfat Anıl; Baykal, Şafak; Terciyanli, Alper; Çam, Ertuğrul

doi:10.29137/umagd.841452

Cited by 1 publication

(1 citation statement)

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“…These systems increase the power stability of the generated energy and ensure its integration into the grid and frequency and voltage management. These systems increase the power stability of the energy produced and provide network integration, frequency, and voltage management [6]. Various energy storage methods are utilized to store energy in different types and convert it into electricity when necessary.…”

Section: Introductionmentioning

confidence: 99%

GRAVITY ENERGY STORAGE TECHNOLOGIES: A Review of the Solid Gravity Energy Storage Applications

Aslan,

Tekin,

Emir

2024

enenstrg

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The use of renewable energy sources is increasing to reduce the carbon footprint. Renewable energy sources provide limited electricity generation and cannot meet the variable energy demand. Large-scale energy storage systems are needed for sustainability. The applicability of energy storage technology depends on many factors such as energy source, site availability, energy density, storage time, storage capacity, system cost, environmental impact, reliability, durability, and system integration capacity. Solid gravity storage technology is seen as a promising new alternative for large-scale energy storage. There are various types of SGES systems classified according to the application method. In this paper, studies on various SGES methods are reviewed. Studies on the applicability factors of SGES systems and their integration into the electricity grid are evaluated. SGES technology has advantages in terms of geographical compatibility, storage volume, security, and energy conversion efficiency. It has been observed that successful results have been obtained in the theoretical studies. However, there is a need for the development of physical simulations and more comprehensive techno-economic analyses.

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Section: Introductionmentioning

confidence: 99%