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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.

Suggested Citation

  • 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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    1. Nakatake, Yasuhito & Yamashita, Hirofumi & Tanaka, Hiroshi & Goto, Hidechika & Suzuki, Takashi, 2020. "Reduction of fuel consumption of a small-scale gas turbine engine with fine bubble fuel," Energy, Elsevier, vol. 194(C).
    2. Al-Sulaiman, Fahad A. & Hamdullahpur, Feridun & Dincer, Ibrahim, 2012. "Performance assessment of a novel system using parabolic trough solar collectors for combined cooling, heating, and power production," Renewable Energy, Elsevier, vol. 48(C), pages 161-172.
    3. Obida Zeitoun, 2021. "Two-Stage Evaporative Inlet Air Gas Turbine Cooling," Energies, MDPI, vol. 14(5), pages 1-17, March.
    4. Ahmadi, Pouria & Dincer, Ibrahim & Rosen, Marc A., 2013. "Development and assessment of an integrated biomass-based multi-generation energy system," Energy, Elsevier, vol. 56(C), pages 155-166.
    5. Almonacid, F. & Rus, C. & Pérez-Higueras, P. & Hontoria, L., 2011. "Calculation of the energy provided by a PV generator. Comparative study: Conventional methods vs. artificial neural networks," Energy, Elsevier, vol. 36(1), pages 375-384.
    6. Najjar, Yousef S.H. & Abubaker, Ahmad M., 2017. "Thermoeconomic analysis and optimization of a novel inlet air cooling system with gas turbine engines using cascaded waste-heat recovery," Energy, Elsevier, vol. 128(C), pages 421-434.
    7. Gebreslassie, Berhane H. & Guillén-Gosálbez, Gonzalo & Jiménez, Laureano & Boer, Dieter, 2009. "Design of environmentally conscious absorption cooling systems via multi-objective optimization and life cycle assessment," Applied Energy, Elsevier, vol. 86(9), pages 1712-1722, September.
    8. Ibrahim, Thamir K. & Mohammed, Mohammed Kamil & Awad, Omar I. & Abdalla, Ahmed N. & Basrawi, Firdaus & Mohammed, Marwah N. & Najafi, G. & Mamat, Rizalman, 2018. "A comprehensive review on the exergy analysis of combined cycle power plants," Renewable and Sustainable Energy Reviews, Elsevier, vol. 90(C), pages 835-850.
    9. Mohapatra, Alok Ku & Sanjay,, 2014. "Thermodynamic assessment of impact of inlet air cooling techniques on gas turbine and combined cycle performance," Energy, Elsevier, vol. 68(C), pages 191-203.
    10. Kalogirou, Soteris A., 2000. "Applications of artificial neural-networks for energy systems," Applied Energy, Elsevier, vol. 67(1-2), pages 17-35, September.
    11. Giostri, A. & Binotti, M. & Sterpos, C. & Lozza, G., 2020. "Small scale solar tower coupled with micro gas turbine," Renewable Energy, Elsevier, vol. 147(P1), pages 570-583.
    12. Najjar, Yousef S.H. & Abubaker, Ahmad M. & El-Khalil, Ahmad F.S., 2015. "Novel inlet air cooling with gas turbine engines using cascaded waste-heat recovery for green sustainable energy," Energy, Elsevier, vol. 93(P1), pages 770-785.
    13. Mohanraj, M. & Jayaraj, S. & Muraleedharan, C., 2012. "Applications of artificial neural networks for refrigeration, air-conditioning and heat pump systems—A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(2), pages 1340-1358.
    14. Zhang, Guoqiang & Zheng, Jiongzhi & Yang, Yongping & Liu, Wenyi, 2016. "A novel LNG cryogenic energy utilization method for inlet air cooling to improve the performance of combined cycle," Applied Energy, Elsevier, vol. 179(C), pages 638-649.
    15. Najjar, Yousef S.H. & Al-Absi, Suhayb, 2013. "Thermoeconomic optimization for green multi-shaft gas turbine engines," Energy, Elsevier, vol. 56(C), pages 39-45.
    16. Tradat, Mohammad I. & Manaserh, Yaman “Mohammad Ali” & Sammakia, Bahgat G. & Hoang, Cong Hiep & Alissa, Husam A., 2021. "An experimental and numerical investigation of novel solution for energy management enhancement in data centers using underfloor plenum porous obstructions," Applied Energy, Elsevier, vol. 289(C).
    17. Mehrpanahi, A. & Nikbakht Naserabad, S. & Ahmadi, G., 2019. "Multi-objective linear regression based optimization of full repowering a single pressure steam power plant," Energy, Elsevier, vol. 179(C), pages 1017-1035.
    18. Baghernejad, A. & Yaghoubi, M., 2010. "Exergy analysis of an integrated solar combined cycle system," Renewable Energy, Elsevier, vol. 35(10), pages 2157-2164.
    19. Kearney, D. & Kelly, B. & Herrmann, U. & Cable, R. & Pacheco, J. & Mahoney, R. & Price, H. & Blake, D. & Nava, P. & Potrovitza, N., 2004. "Engineering aspects of a molten salt heat transfer fluid in a trough solar field," Energy, Elsevier, vol. 29(5), pages 861-870.
    20. Zhao, Zhigang & Su, Sheng & Si, Ningning & Hu, Song & Wang, Yi & Xu, Jun & Jiang, Long & Chen, Gang & Xiang, Jun, 2017. "Exergy analysis of the turbine system in a 1000 MW double reheat ultra-supercritical power plant," Energy, Elsevier, vol. 119(C), pages 540-548.
    21. Moosavian, Seyed Farhan & Borzuei, Daryoosh & Ahmadi, Abolfazl, 2021. "Energy, exergy, environmental and economic analysis of the parabolic solar collector with life cycle assessment for different climate conditions," Renewable Energy, Elsevier, vol. 165(P1), pages 301-320.
    22. Broumand, Mohsen & Khan, Muhammad Shahzeb & Yun, Sean & Hong, Zekai & Thomson, Murray J., 2021. "Feasibility of running a micro gas turbine on wood-derived fast pyrolysis bio-oils: Effect of the fuel spray formation and preparation," Renewable Energy, Elsevier, vol. 178(C), pages 775-784.
    23. Sharadga, Hussein & Hajimirza, Shima & Balog, Robert S., 2020. "Time series forecasting of solar power generation for large-scale photovoltaic plants," Renewable Energy, Elsevier, vol. 150(C), pages 797-807.
    24. Meriño Stand, L. & Valencia Ochoa, G. & Duarte Forero, J., 2021. "Energy and exergy assessment of a combined supercritical Brayton cycle-orc hybrid system using solar radiation and coconut shell biomass as energy source," Renewable Energy, Elsevier, vol. 175(C), pages 119-142.
    25. Khaliq, Abdul & Dincer, Ibrahim, 2011. "Energetic and exergetic performance analyses of a combined heat and power plant with absorption inlet cooling and evaporative aftercooling," Energy, Elsevier, vol. 36(5), pages 2662-2670.
    26. Amelio, Mario & Ferraro, Vittorio & Marinelli, Valerio & Summaria, Antonio, 2014. "An evaluation of the performance of an integrated solar combined cycle plant provided with air-linear parabolic collectors," Energy, Elsevier, vol. 69(C), pages 742-748.
    27. Ehyaei, M.A. & Mozafari, A. & Alibiglou, M.H., 2011. "Exergy, economic & environmental (3E) analysis of inlet fogging for gas turbine power plant," Energy, Elsevier, vol. 36(12), pages 6851-6861.
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    Cited by:

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    2. 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.
    3. 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.
    4. 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).

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