Waste heat recovery can recognize as a promising option for responding to the thermodynamic effectiveness and environmental issues through well-organized designs of multigeneration systems. Hence, this paper introduces a novel hybridization of a flash-binary geothermal cycle, a gas turbine cycle, an organic flash cycle, and a multi-effect desalination subsystem to reach efficient cogeneration of electricity and freshwater regarding the smart use of waste heat. The capability of the proposed system is analyzed based on energy, exergy, exergoeconomic, and economic perspectives, where the net present value and payback were considered as the system's evaluation criteria from the economic viewpoint. Accordingly, the multi-objective grey wolf optimization algorithm in conjunction with the LINMAP decision-making approach has been utilized to optimize the system and specify the optimal conditions in three optimization scenarios. According to the base operation conditions, the system has an exergy efficiency of 37.45% with a power generation capacity of 19.02 MW, a total freshwater rate of 38.69 kg/s, and a total profit and payback period of 60.07 $M and 3.75 years. Besides, the triple-objective optimization illustrated the exergy efficiency, profitability, and payback period of 38.41%, 62.71 M$, and 3.26 years, respectively.

废热回收可以被认为是通过多代系统的组织良好的设计来应对热力学有效性和环境问题的有希望的选择。因此，本文介绍了闪蒸二元地热循环、燃气轮机循环、有机闪蒸循环和多效海水淡化子系统的新型混合，以实现关于废热智能利用的电力和淡水的高效热电联产。从能源、火用、火用经济和经济角度分析了所提出系统的能力，其中从经济角度考虑将净现值和回报作为系统的评估标准。因此，利用多目标灰狼优化算法结合LINMAP决策方法对系统进行优化，并在三种优化场景中指定最优条件。根据基地运行条件，该系统的火用效率为37.45%，发电量为19.02 MW，总淡水率为38.69 kg/s，总利润和投资回收期为60.07 $M和3.75年。此外，三目标优化表明火用效率、盈利能力和投资回收期分别为 38.41%、6271 万美元和 3.26 年。总淡水速率为 38.69 kg/s，总利润和投资回收期为 60.07 美元和 3.75 年。此外，三目标优化表明火用效率、盈利能力和投资回收期分别为 38.41%、6271 万美元和 3.26 年。总淡水速率为 38.69 kg/s，总利润和投资回收期为 60.07 美元和 3.75 年。此外，三目标优化表明火用效率、盈利能力和投资回收期分别为 38.41%、6271 万美元和 3.26 年。