生物质气化生产α-烯烃工艺公用工程的生命周期评价及多目标优化OA北大核心

Utility optimization plays a crucial role in energy conservation and emission reduction.To effectively enhance the economic and environmental performance of the biomass gasification process for α-olefin production,a multi-objective optimization model for the life cycle utility system was constructed using the Non-dominated Sorting Genetic Algorithm Ⅱ(NSGA-Ⅱ),targeting minimal economic cost and environmental impact.Coal,natural gas,and non-condensable gas were selected as system fuels,with desulfurization and denitrification processes introduced to meet SO2 and NOv emission standards.The life cycle assessment results before and after optimization were compared to verify the effectiveness of the optimization method.The results indicate that,under cost-prioritized conditions,selecting coal and non-condensable gas as system fuels provides a more optimal solution,with an economic cost of 115.56 CNY/h.Under environment-prioritized conditions,selecting natural gas and non-condensable gas as system fuels is more advantageous,with an environmental impact assessment of 3.92 × 10-12 h-1.After multi-objective optimization(optimized scheme 2B),the global warming potential of the entire process,acidification potential,eutrophication potential and particulate matter are reduced by 24.54％,30.55％,4.20％ and 71.03％,respectively,and improvements also observe in the assessments of other environmental impact categories.This validates the potential application of the optimization method in promoting the sustainable development transition of the α-olefin production process.