In order to reduce comprehensive energy consumption while guarantee product requirements,on the basis of constructing RSV ethane recovery simulation process,the analysis and screening of key parameters are completed through Plackett-Burman design.The nonlinear mapping between input and output parameters is realized through ELM model.Finally,the ELM model is optimized and the optimal process parameters are solved based on the improved Harris Eagle(IHHO)algorithm.Study results show that the factors such as raw gas flow,demethanation tower pressure,raw gas temperature,dry gas reflux ratio,gas phase split ratio of cryogenic separator,temperature at cryogenic separator and outlet pressure of expander have great impact on comprehensive energy consumption,and should be included in the ELM model database as input variables.As for the prediction of comprehensive energy consumption,the correlation coefficients of IHO-ELM model on training set,verification set and test set are 0.992 1,0.987 6 and 0.985 5,respectively,indicating the optimal prediction effect.After parameter optimization,the ethane yield is reduced by 2.38%,the product indexes of LPG and stable light hydrocarbon change slightly,and the comprehensive energy consumption can be reduced by 23.62%.
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