沼气提纯系统运行优化与工程应用OA

To achieve efficient and stable operation of the biogas upgrading system in waste-to-energy plants,this study uti-lizes 20 months of actual engineering data and employs statistical and data mining methods to investigate the correlation mechanisms between operational load and key performance parameters—methane purity,conversion rate,and recovery rate—in the biogas upgrading system.The results show that the system operates predominantly under medium-to-low loads.A weak negative correlation was observed between load and methane purity(r=-0.199),whereas load exhibited signifi-cant positive correlations with both conversion rate(r=0.382)and recovery rate(r=0.360),revealing a trade-off be-tween system processing capacity and product quality.The study further identifies the high-load range(90％～110％)as an efficient operational window and precisely narrows the optimal load interval that balances efficiency and quality to 94％～96％.Based on these findings,this paper proposes a high-load precision regulation strategy and a multi-objective collabo-rative optimization approach,providing both data support and engineering guidance for transitioning the biogas upgrading system from"stable operation"to"efficient and optimized operation".