Techno-economic and multi objective optimization of zero carbon emission biomass based supercritical carbon dioxide oxy combustion system integrated with carbon dioxide liquefaction system and solid oxide electrolyzer

Abstract

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. • A biomass based oxy-fuel system has been investigated from an economic viewpoint. • CO2 liquefaction and its sale leads to 30% drop in levelized cost of electricity. • An economic study with multi-objective optimization done on the proposed system. • At optimal point the levelized cost of electricity reaches to 0.36$/kWh.