The aim of this study is to exploit the waste heat of a biomass-based solid oxide fuel cell (SOFC)–model (a)–in a gas turbine (GT) to enhance the power generation/exergy efficiency (model (b)). Moreover, surplus power which is generated by the GT is transferred to a proton exchange membrane electrolyzer (PEME) for hydrogen production (model (c)). Parametric study is performed to investigate the influence of the effective parameters on performance and economic indicators. Eventually, considering exergy efficiency and total product cost as the objective functions, the proposed models are optimized by multi-objective optimization method based on genetic algorithm. Accordingly, the optimum solution points are gathered as Pareto frontiers and subsequently favorable solution points are ascertained from exergy/economic standpoints. Results of parametric study indicate that model (b) is the best model as it has higher exergy efficiency and lower total product cost. Moreover, model (c) may be a more suitable model compared to the model (a) because of higher exergy efficiency and capability of hydrogen production. The results further show that, at the best final solution point, the exergy efficiency and total product cost of the model (b) would be 33.22% and 19.01 $/GJ, respectively. Corresponding values of exergy efficiency and total product cost of the model (c) are 32.3% and 20.1 $/GJ. Moreover, the rate of hydrogen production of the model (c) is 8.393 kg/day, at the best solution point. Overall, the integration methods are promising techniques for increasing exergy efficiency, reducing total product cost and also for hydrogen production.

这项研究的目的是利用燃气轮机（GT）中基于生物质的固体氧化物燃料电池（SOFC）–模型（a）–的余热来提高发电/火用效率（模型（b）） 。此外，由GT产生的剩余功率被传递到质子交换膜电解器（PEME）进行制氢（模型（c））。进行参数研究以研究有效参数对性能和经济指标的影响。最终，以火用效率和产品总成本为目标函数，通过基于遗传算法的多目标优化方法对模型进行了优化。因此，最优解点被收集为帕累托边界，随后从（火用）/经济角度确定有利的解点。参数研究的结果表明，模型（b）是最佳模型，因为它具有较高的火用效率和较低的总产品成本。此外，由于较高的（火用）效率和制氢能力，与（a）模型相比，（c）模型可能是更合适的模型。结果进一步表明，在最佳的最终解决方案点，模型（b）的火用效率和总产品成本分别为33.22％和19.01 $ / GJ。模型（c）的火用效率和产品总成本的对应值为32.3％和20.1 $ / GJ。而且，在最佳溶解点，模型（c）的氢气产生速率为8.393kg /天。总体而言，集成方法是提高火用效率，降低总产品成本以及制氢的有前途的技术。