Entropy Analysis of Temperature Swing Adsorption for CO₂ Capture Using the Computational Fluid Dynamics (CFD) Method

Area of Science:

• Chemical Engineering
• Thermodynamics
• Environmental Science

Background:

• Carbon capture via adsorption, particularly Temperature Swing Adsorption (TSA), offers a promising route for reducing CO2 emissions.
• Current TSA technology suffers from high energy consumption and low energy efficiency, hindering practical application.
• Thermodynamics, specifically entropy analysis, provides a framework for understanding energy conversion and identifying losses in TSA.

Purpose of the Study:

• To conduct an entropy analysis of the TSA cycle using non-equilibrium thermodynamics and Computational Fluid Dynamics (CFD).
• To identify and quantify entropy generation during different stages of the TSA cycle.
• To explore strategies for improving energy efficiency and reducing irreversible losses in TSA systems.

Main Methods:

• Development of a physical model and conservation equations for the TSA cycle.
• Application of Computational Fluid Dynamics (CFD) for numerical simulations.
• Calculation and analysis of entropy generation across various cycle processes, including parameter optimization for the desorption stage.

Main Results:

• Detailed analysis of entropy generation for each process within the TSA cycle.
• Identification of key parameters influencing entropy generation during desorption, with optimization insights.
• Comparison of TSA cycle performance with and without regeneration, highlighting methods to reduce overall entropy generation.

Conclusions:

• Entropy analysis is a valuable tool for understanding and improving TSA energy efficiency.
• Optimization of desorption parameters and implementation of regeneration strategies can significantly reduce irreversible losses.
• The study provides a pathway for enhancing the energy utilization efficiency of TSA for carbon capture.