Objectives Based on the HYSYS model and genetic algorithm(GA), the sensitivity analysis and optimization of the total carbon emissions of the triethylene glycol(TEG) dehydration system on offshore platforms were studied. The HYSYS carbon emission model was established by considering the carbon emissions generated by electricity consumption and flash gas combustion.

Methods Taking the minimum total carbon emission of the TEG dehydration system as the objective function, the initial decision variable group was generated by the GA module, and the data communication control ActiveX was used to transfer the decision variable data to HYSYS for calculation. The calculation results were returned to the GA module in the form of fitness value for evaluation, and the decision variables were automatically updated and optimized by selection, crossover and mutation genetic behavior until the optimal solution in the search space was obtained.

Results The sensitivity analysis results showed that in the total carbon emissions of the TEG dehydration system, the reboiler accounted for more than 70%, and the BOG accounted for less than 30%, while the TEG pump accounted for less than 2%. Through the optimization of the GA, the TEG circulation volume decreased by 40%, and the reboiler temperature decreased by 7.7%. The carbon emissions of the TEG dehydration system were optimized from 83.84 kg/h to 53.98 kg/h, and the total emission decreased by 35.6%. The optimization effect was obvious.

Conclusion The carbon emissions of TEG dehydration system can be effectively reduced through the optimization of the GA.