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Efficient thermal integration model based on a biogas-fired gas turbine cycle (GTC) for electricity and desalination applications; thermo-economic and GA-based optimization

Amr S. AbouziedDepartment of Pharmaceutical Chemistry, College of Pharmacy, University of Hail, Hail 81442, Saudi ArabiaSarminah SamadManagement Department, College of Business Administration, Princess Nourah Bint Abdulrahman University, Riyadh, Saudi ArabiaAzher M. AbedAir Conditioning and Refrigeration Techniques Engineering Department, College of Engineering and Technologies, Al-Mustaqbal University, Babylon, 51001, IraqMohamed ShabanDepartment of Physics, Faculty of Science, Islamic University of Madinah, Madinah 42351, Saudi ArabiaFahad M. AlhomayaniApplied College, Taif University, Saudi ArabiaShirin ShomurotovaDepartment of Chemistry Teaching Methods, Tashkent State Pedagogical University Named After Nizami, Bunyodkor Street 27, Tashkent, UzbekistanMohammad SafiRaymond GhandourCollege of Engineering and Technology, American University of the Middle East, 54200 Egaila, KuwaitYasser ElmasryDepartment of Mathematics - College of Science - King Khalid University, P.O. Box 9004, Abha 61466, Saudi ArabiaAlbara Ibrahim AlrawashdehDepartment of Chemistry and Chemical Technology, College of Science, Tafila Technical University, Tafila 66110 Jordan
ABI

Аннотация

As the global energy demand continues to rise, there is an urgent need to improve the efficiency and sustainability of power generation systems. This study integrated a modified supercritical carbon dioxide (S-CO 2 ) and multi-effect desalination (MED) units to recover residual heat from a gas turbine cycle (GTC) in two stages, significantly enhancing electricity production while reducing the environmental footprint of the GTC. The significance of this study lies in its comprehensive approach, combining thermodynamic, environmental, and thermoeconomic analyses alongside thorough sensitivity evaluations. A triple optimization framework was implemented to optimize the system's performance, focusing on key metrics such as exergy efficiency, CO 2 reduction rates, and levelized energy cost, utilizing the NSGA-II and the TOPSIS decision-making method in MATLAB software. Economic viability was assessed through a net present value (NPV) analysis, demonstrating substantial profitability. Finally, a comparison study of the devised system CO 2 emissions rate was performed for different renewable energy sources. A specific application of the devised system is its capacity to generate 1.415 m³/h of distilled water while generating 1441 kW of electricity. Sensitivity analysis identified the combustion chamber temperature as the most critical design parameter, with a sensitivity index of 0.328. The optimum economic indicators showed marked improvement, with the NPV increasing from 2.371 M$ to 10.75 M$ and the payback period decreasing from 13.28 years to 7.18 years.

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