Life cycle assessment, exergoenvironmental analysis, and AI-driven optimization of an oxy-biogas power plant combined with liquefied CO2 and H2 generation units

Addressing the environmental challenges associated with current polygeneration systems necessitates the development of innovative strategies to mitigate irreversible processes and their environmental consequences. This study introduces an innovative and sustainable heat design network, encompassing an oxy-biogas combustion combined to a gas turbine cycle, which operates in integration with supercritical and transcritical CO2 cycles. This setup also uses a CO2 capture unit, subsequently liquefying the captured CO2, allowing the system to be a zero-emission model. Additionally, the electric power yielded by the integrated power plants is utilized to generate hydrogen via solid oxide electrolysis. The resulting hydrogen is then processed through a cryogenic unit based on the principles of a Claude cycle to liquefy the hydrogen gas for efficient storage and transport. To evaluate the planned arrangement's irreversibility and environmental impact, thorough exergy, exergoenvironmental, and life cycle assessments are conducted, followed by advanced optimization techniques. The optimization is conducted through an artificial intelligence-driven approach that combines artificial neural networks with a multi-objective grey wolf optimization method. The findings reveal that combustion temperature is the significant factor affecting system's operation. The optimal outcomes related to exergy destruction rate, sustainability index, and environmental impact rate are also determined to be 10665 kW, 1.767, and 1.76 × 105 mPts/h, respectively. In addition, the exergoenvironmental factor and the specific exergoenvironmental impact of products are found at 0.5650 and 5311 mPts/GJ. Besides, the specific exergoenvironmental impacts associated with liquefied hydrogen and liquefied CO2 are attained to be 6078 mPts/GJ and 4546 mPts/GJ, respectively.