International Journal of Frontiers in Engineering Technology, 2026, 8(2); doi: 10.25236/IJFET.2026.080206.
Cao Haoyang, Tang Zihao, Zhang Shaojing, Zhang Xuliang
University of Science and Technology Liaoning, Anshan, China
Carbon capture, utilization, and storage (CCUS) is a key technology for achieving carbon neutrality, but the energy consumption of continuous CO₂ recovery units has always been a core bottleneck restricting their large-scale application. This paper takes a chemical absorption continuous CO₂ recovery unit as the research object, systematically analyzes the process principle and energy consumption composition of the unit, and proposes a multi-objective process optimization method based on superstructure modeling. Through the synergistic optimization of absorbent formulation, heat cascade utilization of regeneration tower, and operating parameters, a dual-objective optimization model with capture energy consumption and product yield as objectives is established. Taking a 30,000-ton/year industrial-grade unit as a case study, the changes in key process parameters before and after optimization are analyzed, revealing the coupling relationship between parameters such as regeneration temperature, liquid-to-gas ratio, and lean liquid load and energy consumption. The results show that after optimization, the regeneration energy consumption of the unit decreased from 4.21 GJ/tCO₂ to 3.38 GJ/tCO₂, a decrease of 19.7%, the capture rate increased to over 95%, and the unit product power consumption decreased by 15.3%. The research results provide a theoretical basis and technical path for energy saving and consumption reduction in continuous CO₂ recovery units.
Continuous CO₂ Recovery; Process Optimization; Energy Consumption Analysis; Chemical Absorption Method; Regeneration Tower Optimization
Cao Haoyang, Tang Zihao, Zhang Shaojing, Zhang Xuliang. Process Optimization and Energy Consumption Analysis of Continuous Carbon Dioxide Recovery Unit. International Journal of Frontiers in Engineering Technology (2026), Vol. 8, Issue 2: 37-44. https://doi.org/10.25236/IJFET.2026.080206.
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