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    PERFORMANCE ANALYSIS OF AN EXISTING WIND-ASSISTED COMBINED POWER PLANT
    (2022-08) Yassin, Hasan
    The exhaust gases from a gas turbine (GT) are used in combined cycles to enhance the power produced and the thermal efficiency of the cycle. Typically, 30-40% of the gas turbine shaft effort is utilized to drive the compressor. The current research looks at a system that was created combines wind turbines (WTs) with an integrated gas vapor cycle (GTCC). It shows how WTs may be utilized to power the compressor in the GT cycle and pump fluid through an ideal Rankine cycle to boost total power production and efficiencies of the combined cycle. Since WT will supply the power needed for the compressor and pump instead of typical energy from the GT, the new system is more flexible than a combined cycle alone. Thermodynamic analysis of a combined cycle (Brayton + Rankine) aided by a wind turbine is the focus of the current work. This study also looks at how the performance of the recommended system is affected by various operating conditions. An EES (Engineering equation solving) computer program is programmed to solve a mathematical equation and used to analyze the developed system. According to the investigation and analysis results, 44 units of SWT-DD-130 Siemens wind turbine can cover the power required for both the compressor and pump with a critical wind velocity of 9.9 m/s. The results presented that the addition of wind turbines (WTs) to the gas turbine combined cycle (GTCC) provides more power output (compared with a GTCC without WTs). Besides, the combined gas turbine cycle produces 193.4 MW, while the WT- GTCC cycle produces 355.4 MW. (This means adding the WTs to the GTCC cycle increases the electricity produced by 162 MW). According to the results, both energy and exergy efficiencies of the existing wind-assisted combined power plant were enhanced by 72.44% and 68.25%, respectively. The highest irreversibility in the wind turbine and the combustion chamber of the WT- GTCC cycle has been discovered as 47.2% and 37.21%, respectively.