The current work is a study of electricity, hydrogen, and freshwater polygeneration system fueled by biomass fuel. Accordingly, innovative integration of a Rankine cycle, a multi-effect desalination, and a solid oxide electrolyzer cell has been considered utilizing a syngas production biomass combustion chamber. The waste heat and a part of the output electricity of the Rankine cycle have been employed to launch the desalination and electrolyzer units, respectively. The suggested polygeneration is analyzed from the thermodynamic and exergoeconomic viewpoints through developing a code in engineering equation solver software and a multi-criteria optimization via MATLAB software. Hence, the NSGA-II optimization method and decision-making TOPSIS technique have been implemented. The parametric study has been conducted based on the effect of biomass fuel mass flow rate, turbine inlet pressure, combustion chamber outlet temperature, and pinch point temperature difference of the steam generator on the thermodynamic and exergoeconomic variables of the whole system. Considering the total exergy destruction rate, exergy efficiency, and total unit exergy cost of products as objective functions, the suggested system achieved the optimum values of 17.64%, 7658.5 kW, and 26 $/GJ corresponding for these variables.

目前的工作是研究以生物质燃料为燃料的电力、氢和淡水多联产系统。因此，兰金循环、多效脱盐和固体氧化物电解槽的创新集成已被考虑利用合成气生产生物质燃烧室。兰金循环的废热和部分输出电力分别用于启动海水淡化和电解装置。通过在工程方程求解器软件中开发代码和通过 MATLAB 软件进行多标准优化，从热力学和热力学角度分析了建议的多联产。因此，已经实施了NSGA-II优化方法和决策TOPSIS技术。基于生物质燃料质量流量、涡轮入口压力、燃烧室出口温度和蒸汽发生器夹点温差对整个系统的热力学和火力经济变量的影响，进行了参数研究。以产品的总火用破坏率、火用效率和总单位火用成本为目标函数，建议系统达到了17.64%、7658.5的最优值kW和 26 $ / GJ对应于这些变量。