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This work presents the performance assessment of diverse membrane arrangements to separate carbon dioxide (CO2) from a binary mixture with methane (CH4). For the purpose, we employ computer modeling to represent different polymeric modules, which are able to split an inlet CH4/CO2 gaseous mixture into sweet and acid products. Aim of the process is to achieve a high-purity CO2 permeate, reducing the CH4 losses. Novelty, we compare the performances of different existing commercial polymers, available for gas industries: cellulose acetate, polycarbonates, polyamides, polyamide-imides, polyamides thin-film composites, among others. The importance of the use of different materials is the possibility to replicate total membrane area, transport properties, and operating conditions. Finally, a comparative and integral discussion of the simulations considers three fundamental aspects: hydrocarbon recovery, residual gas quality, and compression power to carry out the separation.
Juan Pablo Gutierrez; Elisa Liliana Ale Ruiz; Eleonora Erdmann. Design assessment of polymeric membranes modules to separate carbon dioxide from a binary mixture with methane. Chemical Engineering and Processing - Process Intensification 2020, 150, 107883 .
AMA StyleJuan Pablo Gutierrez, Elisa Liliana Ale Ruiz, Eleonora Erdmann. Design assessment of polymeric membranes modules to separate carbon dioxide from a binary mixture with methane. Chemical Engineering and Processing - Process Intensification. 2020; 150 ():107883.
Chicago/Turabian StyleJuan Pablo Gutierrez; Elisa Liliana Ale Ruiz; Eleonora Erdmann. 2020. "Design assessment of polymeric membranes modules to separate carbon dioxide from a binary mixture with methane." Chemical Engineering and Processing - Process Intensification 150, no. : 107883.
The aim of this work is to optimize the conceptual design of an amine-based carbon dioxide (CO2) separation process for Enhanced Oil Recovery (EOR). A systematic approach is applied to predict the economic profitability of the system while reducing the environmental impacts. Firstly, we model the process with UniSim and determine the governing degrees of freedom (DoF) through a sensitivity analysis. Then, we proceed with the formulation of the economic problem, where the employment of econometric models allows us to predict the highest dynamic economic potential (DEP). In the second part, we apply the Waste Reduction (WAR) algorithm to quantify the environmental risks of the studied process. This method is based on the minimization of the potential environmental indicator (PEI) by using the generalization of the Waste Reduction algorithm. Results show that the CO2 separation plant is promising in terms of economic revenues. However, the PEI value indicates that the higher the profitability, the larger the environmental risk. The optimal value of the DEP corresponds to 0.0274 kmol/h and 60 °C, with a plant capacity according to the mole flow rate of the produced acid gas. In addition, the highest environmental risk is observed at the upper bounds of the DoF.
Juan Pablo Gutierrez; Eleonora Erdmann; Davide Manca. Optimal Design of a Carbon Dioxide Separation Process with Market Uncertainty and Waste Reduction. Processes 2019, 7, 342 .
AMA StyleJuan Pablo Gutierrez, Eleonora Erdmann, Davide Manca. Optimal Design of a Carbon Dioxide Separation Process with Market Uncertainty and Waste Reduction. Processes. 2019; 7 (6):342.
Chicago/Turabian StyleJuan Pablo Gutierrez; Eleonora Erdmann; Davide Manca. 2019. "Optimal Design of a Carbon Dioxide Separation Process with Market Uncertainty and Waste Reduction." Processes 7, no. 6: 342.
Juan Pablo Gutierrez; Elisa Liliana Ale Ruiz; Eleonora Erdmann. Energy requirements, GHG emissions and investment costs in natural gas sweetening processes. Journal of Natural Gas Science and Engineering 2017, 38, 187 -194.
AMA StyleJuan Pablo Gutierrez, Elisa Liliana Ale Ruiz, Eleonora Erdmann. Energy requirements, GHG emissions and investment costs in natural gas sweetening processes. Journal of Natural Gas Science and Engineering. 2017; 38 ():187-194.
Chicago/Turabian StyleJuan Pablo Gutierrez; Elisa Liliana Ale Ruiz; Eleonora Erdmann. 2017. "Energy requirements, GHG emissions and investment costs in natural gas sweetening processes." Journal of Natural Gas Science and Engineering 38, no. : 187-194.