Life cycle assessment, techno-economic and environmental analysis of an innovative integration air power cycle with LNG cold energy utilization in a biomass-fueled multi-generation plant: Soft computing technique and multi-objective optimization approaches

The multi-generation biomass-based systems are not that effective in terms of producing power, heating, cooling, and hydrogen while reducing the environmental and economic consequences. Such systems are very important in improving energy and exergy usage, which are essential to sustainable and economical operation. In this study, a combined setup which involves a biomass burner, air power cycle, LNG cold energy recovery, Organic and Steam Rankine cycles and a PEM electrolyzer is proposed. It is assessed with validated 4E analyses, including exergy-based economic and environmental analyses as well as a life-cycle assessment, which is optimized with the help of the Support Vector Regression and Constrained Two-Archive Evolutionary Algorithm. The findings indicate that the base system exergy is 42.42 %, unit product cost 28.18 $/GJ and exergo-environmental impact 0.575, with a total global warming potential of 850.85 kg/h. Optimization is found to get exergy efficiency of 57.18, lower cost of 18.15 $/GJ and exergo-environmental impact of 0.428. The parametric analysis shows that augmentations in LNG and air pressures are significant in the improvement of the performance of the system. The project system has feasible prospects of energy and hydrogen generation that is sustainable and high in efficiency in terms of industrial uses.