Optimal Design of a Carbon Dioxide Separation Process with Market Uncertainty and Waste Reduction

Abstract

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.

Gas Capture Processes

“…Gutierrez et al [8] reported the conceptual design of an amine-based carbon dioxide (CO 2 ) separation process for enhanced oil recovery (EOR). A systematic approach was applied to predict the economic profitability of the system while reducing the environmental impacts.…”

Environmental and Exergetic Analysis of Large-Scale Production of Citric Acid-Coated Magnetite Nanoparticles via Computer-Aided Process Engineering Tools

“…45 However, the regulations are not accurate with an existing degree of uncertainty, likely underestimating the potential hazards during the production and application of nanomaterials. 43 The environmental sustainability and safety risks of emerging technologies and processes can be studied using different computer-aided simulation tools, such as the waste reduction algorithm (WAR), 40 prefeasibility analysis, 46 life cycle assessment, 47 market uncertainty, and sensitivity analysis, 48 among others. The WAR is a free-access tool developed by the National Risk Management Research Laboratory from the U.S. EPA.…”

CVD Synthesis, Functionalization and CO2 Adsorption Attributes of Multiwalled Carbon Nanotubes

“…Global warming, due to the emission of greenhouse gases, is a challenging issue for the environment, which is gaining widespread attention within the research community [1]. The excessive use of fossil fuels has increased the concentration of CO 2 in the atmosphere above a safe level [2]. Roughly 60% of global warming is attributed to CO 2 emissions, which is much higher than the total contribution of the rest of the greenhouse gases [3].…”