There exists large space to save energy of high-sulfur natural gas purification process.The multi-objective optimization problem has been investigated to effectively reduce the total comprehensive energy consumption a...There exists large space to save energy of high-sulfur natural gas purification process.The multi-objective optimization problem has been investigated to effectively reduce the total comprehensive energy consumption and further improve the production rate of purified gas.A steady-state simulation model of high-sulfur natural gas purification process has been set up by using ProMax.Seven key operating parameters of the purification process have been determined based on the analysis of comprehensive energy consumption distribution.To solve the problem that the process model does not converge in some conditions,back-propagation(BP)neural network has been applied to substitute the simulation model to predict the relative parameters in the optimization model.The uniform design method and the table U21(107)have been applied to design the experiment points for training and testing BP model.High prediction accuracy can be achieved by using the BP model.Nondominated sorting genetic algorithm-II has been developed to optimize the two objectives,and 100 Pareto optimal solutions have been obtained.Three optimal points have been selected and evaluated further.The results demonstrate that the total comprehensive energy consumption is reduced by 13.4%and the production rate of purified gas is improved by 0.2%under the optimized operating conditions.展开更多
To increase purified gas production and reduce the comprehensive energy consumption of high-sulfur natural gas sweetening unit,a process simulation model was established by using ProMax based on the field operation da...To increase purified gas production and reduce the comprehensive energy consumption of high-sulfur natural gas sweetening unit,a process simulation model was established by using ProMax based on the field operation data in the Sinopec Puguang Natural Gas Purification Plant.Then,sensitivity analysis and optimization study were carried out on the main operating parameters,including circulation rates,the concen-trations and the inlet temperatures of primary and secondary absorption towers of MDEA(methyldiethanolamine)solutions.Furthermore,the effects of reduction of the feed gas load and pressure and increasement of H_(2)S content on the quality and yield rates of purified gas were analyzed under the optimized operating conditions with the actual field situations.And the following research results were obtained.First,the absorption selectivity of MDEA solutions can be improved by decreasing the circulation rates,concentrations and inlet temperatures of MDEA solutions,which is favorable for the increase of the yield rates of purified gas.Specifically,the circulation rate of MDEA solution is the main factor influencing the comprehensive energy consumption of a high-sulfur natural gas sweetening unit.Second,when the flow rate,pressure and H 2S content of feed gas fluctuate,the purification requirements can be satisfied under the optimized operating conditions.Third,energy con-servation under low flow rates of feed gas can be achieved by reducing the flow rates of regenerated steam and adjusting the position of MDEA solutions entering the secondary absorption tower.Fourth,as H_(2)S content is increased by 1%,it is necessary to increase the circulation rate of MDEA solution by about 20×10^(3)kg/h.Fifth,after parameter optimization,the yield rate of purified gas is increased by 0.5%and the comprehensive energy consumption is reduced by 19.1%under the operating condition of full load.展开更多
Landfill gas(LFG)utilization which means a synergy between environmental protection and bioenergy recovery was investigated in this study.Pressure swing adsorption technology was used in LFG purification,and laborator...Landfill gas(LFG)utilization which means a synergy between environmental protection and bioenergy recovery was investigated in this study.Pressure swing adsorption technology was used in LFG purification,and laboratory experiment,pilot-scale test,and on-site demonstration were carried out in Shenzhen,China.In the laboratory experiment,A-type carbon molecular sieve was selected as the adsorbent by comparison of several other adsorbents.The optimal adsorption pressure and adsorption time were 0.25 MPa and 2 min,respectively,under which the product generation rate was 4.5 m^(3)/h and the methane concentration was above 90%.The process and optimization of the pilot-scale test were also reported in the paper.The product gas was of high quality compared with the National Standard of Compressed Natural Gas as Vehicle Fuel(GB18047-2000),when the air concentration in feed gas was under 10.96%.The demonstration project was composed of a collection system,production system,and utilization system.The drive performance,environmental protection performance,and economic feasibility of the product gas—as alternative fuel in passenger car,truck,and bulldozer—were tested,showing the feasibility technology for LFG utilization.展开更多
基金Financial support from National Science and Technology Major Project of the Ministry of Science and Technology of China(Grant No.2016ZX05017-004)
文摘There exists large space to save energy of high-sulfur natural gas purification process.The multi-objective optimization problem has been investigated to effectively reduce the total comprehensive energy consumption and further improve the production rate of purified gas.A steady-state simulation model of high-sulfur natural gas purification process has been set up by using ProMax.Seven key operating parameters of the purification process have been determined based on the analysis of comprehensive energy consumption distribution.To solve the problem that the process model does not converge in some conditions,back-propagation(BP)neural network has been applied to substitute the simulation model to predict the relative parameters in the optimization model.The uniform design method and the table U21(107)have been applied to design the experiment points for training and testing BP model.High prediction accuracy can be achieved by using the BP model.Nondominated sorting genetic algorithm-II has been developed to optimize the two objectives,and 100 Pareto optimal solutions have been obtained.Three optimal points have been selected and evaluated further.The results demonstrate that the total comprehensive energy consumption is reduced by 13.4%and the production rate of purified gas is improved by 0.2%under the optimized operating conditions.
基金Project supported by the National Science and Technology Major Project“Technologies for the Safe and Efficient Operation of Gathering and Purification System in High-Sulfur Gas Fields”(No.2016ZX05017-004).
文摘To increase purified gas production and reduce the comprehensive energy consumption of high-sulfur natural gas sweetening unit,a process simulation model was established by using ProMax based on the field operation data in the Sinopec Puguang Natural Gas Purification Plant.Then,sensitivity analysis and optimization study were carried out on the main operating parameters,including circulation rates,the concen-trations and the inlet temperatures of primary and secondary absorption towers of MDEA(methyldiethanolamine)solutions.Furthermore,the effects of reduction of the feed gas load and pressure and increasement of H_(2)S content on the quality and yield rates of purified gas were analyzed under the optimized operating conditions with the actual field situations.And the following research results were obtained.First,the absorption selectivity of MDEA solutions can be improved by decreasing the circulation rates,concentrations and inlet temperatures of MDEA solutions,which is favorable for the increase of the yield rates of purified gas.Specifically,the circulation rate of MDEA solution is the main factor influencing the comprehensive energy consumption of a high-sulfur natural gas sweetening unit.Second,when the flow rate,pressure and H 2S content of feed gas fluctuate,the purification requirements can be satisfied under the optimized operating conditions.Third,energy con-servation under low flow rates of feed gas can be achieved by reducing the flow rates of regenerated steam and adjusting the position of MDEA solutions entering the secondary absorption tower.Fourth,as H_(2)S content is increased by 1%,it is necessary to increase the circulation rate of MDEA solution by about 20×10^(3)kg/h.Fifth,after parameter optimization,the yield rate of purified gas is increased by 0.5%and the comprehensive energy consumption is reduced by 19.1%under the operating condition of full load.
文摘Landfill gas(LFG)utilization which means a synergy between environmental protection and bioenergy recovery was investigated in this study.Pressure swing adsorption technology was used in LFG purification,and laboratory experiment,pilot-scale test,and on-site demonstration were carried out in Shenzhen,China.In the laboratory experiment,A-type carbon molecular sieve was selected as the adsorbent by comparison of several other adsorbents.The optimal adsorption pressure and adsorption time were 0.25 MPa and 2 min,respectively,under which the product generation rate was 4.5 m^(3)/h and the methane concentration was above 90%.The process and optimization of the pilot-scale test were also reported in the paper.The product gas was of high quality compared with the National Standard of Compressed Natural Gas as Vehicle Fuel(GB18047-2000),when the air concentration in feed gas was under 10.96%.The demonstration project was composed of a collection system,production system,and utilization system.The drive performance,environmental protection performance,and economic feasibility of the product gas—as alternative fuel in passenger car,truck,and bulldozer—were tested,showing the feasibility technology for LFG utilization.
