Consumption of fossil fuels and their scarcity of resources as a global challenge has posed a major problem for the energy sector. To this end, four sub-systems including oxy-fuel production and combustion, hydrogen production, power generation and liquefaction and storage of carbon dioxide were integrated to obtain a new power generation system. The proposed system was evaluated based on techno-economic analyses and multi-objective optimization. Syngas was used as a fuel where syngas was obtained through biomass gasification. Linde-Hampson liquefaction system was used to facilitate storage and transport of carbon dioxide. Solid Oxide Electrolyzer was employed to save the extra energy of system efficiently and supercritical carbon dioxide cycle was used because it is environmentally friendly. The results showed that the obtained values of the levelized cost of electricity are 0.6019 $/kWh, 0.7117 $/kWh, 0.5059 $/kWh, and 0.42114 $/kWh, respectively, for the configurations of power generation, power + hydrogen production, power + hydrogen + liquid carbon dioxide production cycle, and power + liquid carbon dioxide production cycle. Integration of carbon dioxide liquefaction cycle into the system is a desirable factor so that causes 30% and 29% reduction in the levelized cost of electricity when it is integrated with power generation, power + hydrogen production. If the cash flow of the system and the levelized cost of electricity are selected as the objective functions in system optimization, the cost of electricity and cash flow will be 0.36 $/kWh and $ 3.8 million at the selected optimal point, respectively.

化石燃料的消耗及其资源稀缺性是一项全球性挑战，已成为能源部门面临的主要问题。为此，将富氧制取与燃烧、制氢、发电与二氧化碳液化与储存四个子系统进行整合，形成新的发电系统。基于技术经济分析和多目标优化对所提出的系统进行了评估。合成气用作燃料，其中合成气通过生物质气化获得。Linde-Hampson 液化系统用于促进二氧化碳的储存和运输。采用固体氧化物电解槽可有效节省系统的额外能源，并采用超临界二氧化碳循环，因为它是环保的。结果表明，发电、发电+​​制氢、发电配置的平准化电力成本分别为0.6019美元/kWh、0.7117美元/kWh、0.5059美元/kWh和0.42114美元/kWh。 +氢气+液态二氧化碳生产循环，以及电力+液态二氧化碳生产循环。将二氧化碳液化循环集成到系统中是一个理想的因素，当它与发电、电力+氢气生产相结合时，可以使电力的平准化成本降低 30% 和 29%。如果选择系统的现金流和平准化电力成本作为系统优化的目标函数，在选择的最佳点，电力成本和现金流成本将分别为 0.36 美元/千瓦时和 380 万美元。