This paper compares three methods for natural gas dehydration that are widely applied in industry：（1） absorption by triethylene glycol, （2） adsorption on solid desiccants and （3） condensation. A comparison is m...This paper compares three methods for natural gas dehydration that are widely applied in industry：（1） absorption by triethylene glycol, （2） adsorption on solid desiccants and （3） condensation. A comparison is made according to their energy demand and suitability for use. The energy calculations are performed on a model where 105 Nm3/h water saturated natural gas is processed at 30 °C. The pressure of the gas varies from 7 to 20 MPa. The required outlet concentration of water in natural gas is equivalent to the dew point temperature of -10 °C at gas pressure of 4 MPa.展开更多
In the present work,the conventional natural gas dehydration method(CDM)and stripping gas method(SGM)are technically and economically analyzed,utilizing Aspen HYSYS and Aspen Process Economic Analyzer(APEA),respective...In the present work,the conventional natural gas dehydration method(CDM)and stripping gas method(SGM)are technically and economically analyzed,utilizing Aspen HYSYS and Aspen Process Economic Analyzer(APEA),respectively.To optimize the CDM and SGM,the sensitivities of the water content of dry gas,reboiler duty and raw material loss are analyzed against solvent rate and stripping gas rate.The optimized processes are set to achieve a targeted value of water content in dry gas and analyzed at optimized point.The analysis shows that SGM gives 46%lower TEG feed rate,42%lower reboiler duty and 99.97%pure regenerated TEG.Moreover,economic analysis reveals that SGM has 38%lower annual operating cost compared to CDM.According to results,from both technical and economic point of view,SGM is more feasible for natural gas dehydration compared to CDM.展开更多
Natural gas and biogas are two mixtures that consist of methane as their main component.These two gas mixtures are usually saturated with water vapor,which cause many problems,such as damaging the gas processing equip...Natural gas and biogas are two mixtures that consist of methane as their main component.These two gas mixtures are usually saturated with water vapor,which cause many problems,such as damaging the gas processing equipment by increasing the gas’s corrosion potential or clogging the pipelines due to gas hydrate formation.Thus,removing water vapor from these gas streams is mandatory.In this review paper,the main dehydration methods have been overviewed,and scrutiny of the adsorption dehydration has been carried out.Furthermore,the most important solid desiccants and their improvements have been reviewed.展开更多
The supersonic dehydration of natural gas is gaining more attention due to its numerous advantages over the conventional natural gas dehydration technologies.However,supersonic separators have seen minimal field appli...The supersonic dehydration of natural gas is gaining more attention due to its numerous advantages over the conventional natural gas dehydration technologies.However,supersonic separators have seen minimal field applications despite the multiple benefits over other gas dehydration techniques.This has been mostly attributed to the uncertainty in ascertaining the design and operating parameters that should be monitored to ensure optimum dehydration of the supersonic separation device.In this study,the decision tree machine learning model is employed in investigating the effects of design and operating parameters(inlet and outlet pressures,nozzle length,throat diameter,and pressure loss ratio)on the supersonic separator performance during dehydration of natural gas.The model results show that the significant parameters influencing the shock wave location are the pressure loss ratio and nozzle length.The former was found to have the most significant effect on the dew point depression.The dehydration efficiency is mainly dependent on the pressure loss ratio,nozzle throat diameter,and the nozzle length.Comparing the machine learning model-accuracy with a 1-D iterative model,the machine learning model outperformed the 1-D iterative model with a lower mean average percentage error(MAPE)of 5.98 relative to 15.44 as obtained for the 1-D model.展开更多
基金supported by the Inovation and Optimalization of Technologies for Natural Gas Dehydration(No.FR-TI1/173)
文摘This paper compares three methods for natural gas dehydration that are widely applied in industry：（1） absorption by triethylene glycol, （2） adsorption on solid desiccants and （3） condensation. A comparison is made according to their energy demand and suitability for use. The energy calculations are performed on a model where 105 Nm3/h water saturated natural gas is processed at 30 °C. The pressure of the gas varies from 7 to 20 MPa. The required outlet concentration of water in natural gas is equivalent to the dew point temperature of -10 °C at gas pressure of 4 MPa.
基金financially supported by the National Research and Development Program of China(2017YFC0210900)the National Natural Science Foundation of China(21978011)。
文摘In the present work,the conventional natural gas dehydration method(CDM)and stripping gas method(SGM)are technically and economically analyzed,utilizing Aspen HYSYS and Aspen Process Economic Analyzer(APEA),respectively.To optimize the CDM and SGM,the sensitivities of the water content of dry gas,reboiler duty and raw material loss are analyzed against solvent rate and stripping gas rate.The optimized processes are set to achieve a targeted value of water content in dry gas and analyzed at optimized point.The analysis shows that SGM gives 46%lower TEG feed rate,42%lower reboiler duty and 99.97%pure regenerated TEG.Moreover,economic analysis reveals that SGM has 38%lower annual operating cost compared to CDM.According to results,from both technical and economic point of view,SGM is more feasible for natural gas dehydration compared to CDM.
文摘Natural gas and biogas are two mixtures that consist of methane as their main component.These two gas mixtures are usually saturated with water vapor,which cause many problems,such as damaging the gas processing equipment by increasing the gas’s corrosion potential or clogging the pipelines due to gas hydrate formation.Thus,removing water vapor from these gas streams is mandatory.In this review paper,the main dehydration methods have been overviewed,and scrutiny of the adsorption dehydration has been carried out.Furthermore,the most important solid desiccants and their improvements have been reviewed.
文摘The supersonic dehydration of natural gas is gaining more attention due to its numerous advantages over the conventional natural gas dehydration technologies.However,supersonic separators have seen minimal field applications despite the multiple benefits over other gas dehydration techniques.This has been mostly attributed to the uncertainty in ascertaining the design and operating parameters that should be monitored to ensure optimum dehydration of the supersonic separation device.In this study,the decision tree machine learning model is employed in investigating the effects of design and operating parameters(inlet and outlet pressures,nozzle length,throat diameter,and pressure loss ratio)on the supersonic separator performance during dehydration of natural gas.The model results show that the significant parameters influencing the shock wave location are the pressure loss ratio and nozzle length.The former was found to have the most significant effect on the dew point depression.The dehydration efficiency is mainly dependent on the pressure loss ratio,nozzle throat diameter,and the nozzle length.Comparing the machine learning model-accuracy with a 1-D iterative model,the machine learning model outperformed the 1-D iterative model with a lower mean average percentage error(MAPE)of 5.98 relative to 15.44 as obtained for the 1-D model.
