Due to the high amount of natural gas resources in Iran, the gas cycle as one of the main important power production system is used to produce electricity. The gas cycle has some disadvantages such as power consumption of air compressors, which is a major part of gas turbine electrical production and a considerable reduction in electrical power production by increasing the environment temperature due to a reduction in air density and constant volumetric airflow through a gas cycle. To overcome these weaknesses, several methods are applied such as cooling the inlet air of the system by different methods and integration heat recovery steam generator (HRSG) with the gas cycle. In this paper, using a heliostat solar receiver (HSR) in gas and combined cycles are investigated by energy, exergy, and economic analyses in Tehran city. The heliostat solar receiver is used to heat the pressurized exhaust air from the air compressor in gas and combined cycles. The key parameter of the three mentioned analyses was calculated and compared by writing computer code in MATLAB software. Results showed the use of HSR in gas and combined cycles increase the annual average energy efficiency from 28.4% and 48.5% to 44% and 76.5%, respectively. Additionally, for exergy efficiency, these increases are from 29.2% and 49.8% to 45.2% and 78.5%, respectively. However, from an economic point of view, adding the HRSG increases the payback period (PP) and it decreases the net present value (NPV) and internal rate of return (IRR).

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This article reviews a novel poly-generation system based on a solar power tower for power generation, cooling capacity, freshwater creation, and hydrogen production. Comprehensive thermodynamic assessments are conducted to determine the performance of the proposed model. At basic operating circumstances, the simulation results in the generation of 7.871 MW of electricity, 10.05 kg/s of drinking water, 8.788 MW cooling capacity, and hydrogen at a rate of 0.2445 kg/h accompanied by 41.18% energy efficiency and a sum unit cost of products of 6.583 $/GJ. Then, parametric research is going to determine the influence of the proposed system's primary parameters on its performance.Additionally, the gray wolf optimization technique is used to optimize the exergetic efficiency with sum unit cost products and freshwater rate of production under various multi-objective optimization situations. The first optimization scenario's results indicate that the 53.06% exergetic efficiency and 5.44 $/GJ sum unit cost products are the optimum point, and in the second optimization scenario, the optimum point is 47.64% exergetic efficiency and 9.61 kg/s freshwater production rate. Finally, the performance of the suggested method is demonstrated using a case study of New York, United States of America, and represented the maximum performance in July with 5.2 MW net power and 39.6% exergetic efficiency.

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