ijesg

International Journal of Energy and Smart Grid

2548-0332 2636-7904

Zülküf GÜLSÜN

10.55088/ijesg.1569947

Electrical Energy Generation (Incl. Renewables, Excl. Photovoltaics) Energy Systems Engineering (Other)

Elektrik Enerjisi Üretimi (Yenilenebilir Kaynaklar Dahil, Fotovoltaikler Hariç) Enerji Sistemleri Mühendisliği (Diğer)

TRIPLE-OBJECTIVE OPTIMIZATION OF SUPERCRITICAL CO2 RECOMPRESSION BRAYTON CYCLE IN SOLAR TOWER SYSTEMS WITH ENERGY, EXERGY AND EXERGOECONOMIC ANALYSIS

https://orcid.org/0000-0001-8934-7665

Elbir

Ahmet

SULEYMAN DEMIREL UNIVERSITY

12 30 2024

9 1 21 33 10 18 2024 12 16 2024

2016

International Journal of Energy and Smart Grid

This study addresses the energy, exergy and exergoeconomic analyses of the supercritical CO2 recompression Brayton cycle used in solar tower systems. In the study, a three-objective optimization model was developed using artificial neural networks (ANN) to optimize the system performance. The model provides information for the development of sustainable solar energy systems by providing analyses on key factors such as energy efficiency, environmental impact and economic viability. The results show that the supercritical CO2 cycle provides higher thermal efficiency compared to conventional systems and offers cost advantages by reducing the size of system components. In addition, the analyses show that energy and exergy losses can be minimized and the cost effectiveness of the system can be increased, providing important findings in terms of the efficiency and economic viability of solar energy systems.

Energy Analysis Exergy Analysis Multi-Objective Optimization Artificial Neural Networks Innovative Energy Solutions

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