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A novel solar combined cycle integration: An exergy-based optimization using artificial neural network

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  • Abubaker, Ahmad M.
  • Darwish Ahmad, Adnan
  • Salaimeh, Ahmad A.
  • Akafuah, Nelson K.
  • Saito, Kozo

Abstract

The paper aims to solve drawbacks associated with Gas Turbine GT by integrating a novel cascaded system into a combined cycle simultaneously. Parabolic trough collectors preheat the air at the combustion chamber inlet, then drive an absorption inlet-air cooling cycle that controls the ambient-air temperature at the compressor's inlet. This study uses the 2nd law of thermodynamics to estimate the maximum available energy, calculate the electric exergy efficiency, and explore the maximum irreversible exergy destruction in the system's components. Artificial Neural Network was employed to develop a multi-objective optimization by linking data collected from equations in the Engineering Equation Solver software with Matlab. Spider diagrams investigated the effect of varying several key operating parameters on the performance of the system, identifying gas turbine as the highest irreversibility sub-unit and the solar field parabolic trough collectors as the second. Design improvement for the combustion chamber can reduce 303.6 MW, and for parabolic trough collectors field reduce 58.9 MW. Artificial neural networks with multi-objective optimization maximized the electric exergy destruction to 46.19% and minimized the exergy destruction to 489.4 MW, relative to the corresponding values from the simple design point.

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  • Abubaker, Ahmad M. & Darwish Ahmad, Adnan & Salaimeh, Ahmad A. & Akafuah, Nelson K. & Saito, Kozo, 2022. "A novel solar combined cycle integration: An exergy-based optimization using artificial neural network," Renewable Energy, Elsevier, vol. 181(C), pages 914-932.
    • Handle: RePEc:eee:renene:v:181:y:2022:i:c:p:914-932
    DOI: 10.1016/j.renene.2021.09.087
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    Cited by:

    1. Ahmad M. Abubaker & Adnan Darwish Ahmad & Binit B. Singh & Yaman M. Manaserh & Loiy Al-Ghussain & Nelson K. Akafuah & Kozo Saito, 2024. "Energy and Environmental Analyses of a Solar–Gas Turbine Combined Cycle with Inlet Air Cooling," Sustainability, MDPI, vol. 16(14), pages 1-31, July.
    2. Balali, Adel & Asadabadi, Mohammad Javad Raji & Mehrenjani, Javad Rezazadeh & Gharehghani, Ayat & Moghimi, Mahdi, 2023. "Development and neural network optimization of a renewable-based system for hydrogen production and desalination," Renewable Energy, Elsevier, vol. 218(C).
    3. Su, Zixiang & Yang, Liu, 2022. "Peak shaving strategy for renewable hybrid system driven by solar and radiative cooling integrating carbon capture and sewage treatment," Renewable Energy, Elsevier, vol. 197(C), pages 1115-1132.
    4. Al-Ghussain, Loiy & Darwish Ahmad, Adnan & Abubaker, Ahmad M. & Hassan, Muhammed A., 2022. "Techno-economic feasibility of thermal storage systems for the transition to 100% renewable grids," Renewable Energy, Elsevier, vol. 189(C), pages 800-812.

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