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Despite the fact that research on multigeneration and polygeneration systems are available, more efficient and effective systems that fulfill several energy demands at the same time are still needed. Furthermore, efficient use and harvesting of renewable energy sources are critical for global emission reductions. Accordingly, this paper proposes a novel geothermal-solar-based hybrid system for simultaneous power and freshwater production. The overall objective of the study is to model the proposed cogeneration system with energy and exergy exergoeconomic, and economic viewpoints, and obtain the optimum performances of the system using non-dominated sorting genetic algorithm II (NSGA-II) method and LINMAP decision-making approach. According to the obtained results, at the base operating conditions, the exergy destruction rate for the CPVT is the highest with 311.3 k W amongst other components, followed by the RO unit with a value of 159 k W. Also, the net output electricity of the total system and freshwater generation rate are computed to be 775.3 k W and 10.14 k g. s − 1 . Also, for the first optimization scenario (S U C P − η e x ), the exergy efficiency and sum unit cost of the products are obtained by 42.31 % and 16.32 $. G J − 1 , respectively. And, the produced electricity and freshwater are computed to be 755.3 k W and. 16.44 k g. s − 1 • Proposal and study of a newly designed electricity/freshwater co-production system. • Smart use of solar and geothermal energies for the performance enhancement. • Energy, exergy, exergy costing, and NPV methods together with NSGA-II optimization. • The optimum exergy efficiency and unit cost are separately 42.31% and 16.32 $/GJ. • The optimum payback period of the system is estimated to be 1.07 years. [ABSTRACT FROM AUTHOR]

A novel power and freshwater generation system is presented based on the gas turbine cycle as the main system and Kalina cycle and humidification-dehumidification desalination unit as the waste heat recovery subsystems. To evaluate the system's performance, energy, exergy, economic, and environmental analysis is performed. The optimum performance of all optimization scenarios is found by applying the multi-objective genetic algorithm and using the technique for order of preference by similarity to ideal solution (TOPSIS) method. The sensitivity analysis is also performed to assess the effect of various parameters on the system's performance. By using Net present value, the feasibility of the plant for the construction from the economic viewpoint is analyzed. Based on the base case results, the performance metrics are evaluated as the energy efficiency of 0.9398 , exergy efficiency of 43.11 % , sum unit cost of 19.44 $. GJ − 1 , Levelized total emission of 63571 kg. kW − 1 , and freshwater production rate of 10.39 kg. s − 1 . Among all system components, the combustion chamber is contributed to the highest rate of exergy destruction rate by 16544 kJ. s − 1 . For fuel cost of 3 $. GJ − 1 and electricity price of 0.09 $. kWh − 1 , the total net present value for the plant lifetime is obtained 1.736 × 10 7 $ , which means that the plant is feasible for construction from the economic perspective. Based on the optimization results, the maximum value of exergy efficiency and minimum value of Levelized total emission are obtained in LTE-ε-TGOR scenario by 43.84 % and 62602 kg. kW − 1 , respectively. • A novel power and water production system based on gas turbine cycle is proposed. • Thermodynamic, economic, and environmental analyses are performed. • Payback period and net present value techniques are employed for economic analysis. • Multi-objective genetic algorithm is used to optimize the performances of the system. • TOPSIS decision-making method is applied to find the final optimum solutions. [ABSTRACT FROM AUTHOR]