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Bi-Objective Optimization of Techno-Economic and Environmental Performance of CO2 Capture Strategy Involving
Nobuo Hara1,2, Satoshi Taniguchi2, Takehiro Yamaki2
1Integrated Research Center for CCUS Implementation, National Institute of Advanced Industrial Science and Technology (AIST), Central 5, 1-1-1 Higashi, Tsukuba 305-8565, Ibaraki, Japan.
Membranes
|July 25, 2025
Summary
Optimizing carbon capture, utilization, and storage (CCUS) processes requires careful design. This study found that improving membrane selectivity (α*(CO2/N2)) enhances CCUS performance more than increasing membrane permeability.
Area of Science:
- Chemical Engineering
- Environmental Science
- Materials Science
Background:
- Complex carbon capture, utilization, and storage (CCUS) processes necessitate optimized designs.
- Membrane-based separation is a key technology for CO2 capture.
Purpose of the Study:
- To bi-objectively optimize a two-stage membrane separation process for CCUS.
- To minimize both operational costs and CO2 emissions in the CCUS process.
Main Methods:
- Utilized a combination of experimental design, machine learning, genetic algorithms, and Bayesian optimization.
- Conducted six case studies with varying membrane performance (Robeson upper bound and tenfold permeability increase).
- Adjusted the membrane selectivity (α*(CO2/N2)) constraint to 50, 100, and 200.
Main Results:
- Electricity consumption was identified as a significant factor influencing operating costs and CO2 emissions.
- Increasing membrane selectivity (α*(CO2/N2)) yielded greater performance enhancements than increasing membrane permeability.
- Pareto solutions provided insights into the trade-offs between cost and CO2 emissions.
Conclusions:
- Bi-objective optimization effectively evaluated membrane CO2 separation and CCUS process performance.
- Membrane selectivity is a critical parameter for optimizing CCUS efficiency.
- The study provides a quantitative framework for designing efficient CCUS systems.
