This paper explores the potential of a combined solid oxide fuel cell and gas turbine technology for medium- to large-scale power generation, emphasizing its applicability and sustainability, particularly with biomass feedstock. An innovative heat integration process is developed for a modified solid oxide fuel cell and gas turbine power plant, incorporating a steam power cycle, compressed air energy storage, a Kalina cycle, and a domestic hot water production subsystem. The system utilizes biomass through a downdraft gasifier, enabling a comprehensive evaluation of thermodynamic, economic, and environmental performance during both charging and discharging phases. A detailed parametric sensitivity analysis is performed to investigate two operational modes. Subsequently, five multi-objective optimization scenarios are formulated and optimized using the cuckoo search algorithm and two decision-making approaches. The results indicate that the optimization scenario focusing on exergetic round-trip efficiency and the unit cost of products during the discharging phase achieves superior thermodynamic and environmental performance. Specifically, the system exhibits energetic and exergetic round-trip efficiencies of 59.20 % and 51.06 %, respectively, with a levelized total emission of 0.64 kg/MWh. Furthermore, when considering the objectives of exergetic round-trip efficiency and net present value, the optimal economic performance is achieved with a payback period of 1.54 years and a net present value of $7.44 million.

中文翻译：

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利用压缩空气储能的创新组合方案的多标准研究和优化，用于以生物质原料为燃料的改进型固体氧化物燃料电池驱动的燃气轮机发电厂


本文探讨了固体氧化物燃料电池和燃气轮机组合技术在中大规模发电方面的潜力，强调其适用性和可持续性，特别是对于生物质原料。为改进的固体氧化物燃料电池和燃气轮机发电厂开发了一种创新的热集成工艺，其中包括蒸汽动力循环、压缩空气储能、卡林纳循环和生活热水生产子系统。该系统通过下吸式气化炉利用生物质，能够在充电和放电阶段对热力学、经济和环境性能进行综合评估。进行详细的参数敏感性分析来研究两种操作模式。随后，使用布谷鸟搜索算法和两种决策方法制定和优化了五个多目标优化场景。结果表明，注重放热往返效率和排放阶段产品单位成本的优化方案实现了优异的热力和环境性能。具体来说，该系统的能量和火能往返效率分别为 59.20% 和 51.06%，平均总排放量为 0.64 kg/MWh。此外，考虑到往返效率和净现值的目标，最佳经济绩效的投资回收期为 1.54 年，净现值为 744 万美元。