Waste heat elimination via integration techniques has been recognized as an effective solution for the performance enhancement of renewable energy-based power plants. In this paper, a new plant, based on an external reformer molten carbonate fuel cell, is proposed and analyzed. The system consuming the biogas fuel produced by a digester plant. A gas turbine and a supercritical CO₂ cycle are used as bottoming cycles of the proposed layout and its superiorities over the previously developed models are reviewed in terms of thermodynamics, thermoeconomics, and environment. Moreover, a sensitivity analysis is carried out to assess the effect of crucial design parameters on the main performance indexes namely exergy efficiency, net output power, total cost, and the unit product cost of the system. The results indicate that the maximum exergy destruction rate is associated with the water preheater (HX1), and it is followed by the combustion chamber, main heat exchanger, and burner. Further, three-objective optimization is carried out employing the non-dominated sorting genetic algorithm II artificial neural network in MATLAB. Results demonstrate a very great potential in the system to have a higher exergy efficiency of 80.28% which corresponds to the cost of 9.82 $/GJ. Considering the cost and CO₂ emission, the minimum unit product cost of 9.46 $/GJ and minimum CO₂ emission of 354.01 g/MWh can be achievable.

通过集成技术消除余热已被公认为提高可再生能源发电厂性能的有效解决方案。在本文中，提出并分析了一种基于外部重整器熔融碳酸盐燃料电池的新工厂。消耗沼气厂生产的沼气燃料的系统。燃气轮机和超临界 CO ₂循环用作拟议布局的底部循环，并在热力学、热经济学和环境方面审查了其优于先前开发的模型。此外，还进行了敏感性分析，以评估关键设计参数对主要性能指标的影响，即系统的火用效率、净输出功率、总成本和单位产品成本。结果表明，最大火用破坏率与水预热器（HX1）有关，其次是燃烧室、主换热器和燃烧器。进一步利用MATLAB中的非支配排序遗传算法II人工神经网络进行三目标优化。结果表明，该系统具有高达 80 的更高火用效率的巨大潜力。28%，相当于 9.82 美元/GJ 的成本。考虑成本和 CO₂排放，可实现9.46 美元/GJ 的最低单位产品成本和354.01 g/MWh 的最低 CO ₂排放。