A low-energy-consumption phase change CO2 capture-methanol co-production process system for flue gas from thermal power plants
By using non-aqueous phase change absorbents and improved model predictive control algorithms, combined with heat pump waste heat recovery and AI intelligent regulation, the problems of high energy consumption in CO2 capture and regeneration of flue gas in thermal power plants and poor economic efficiency in carbon resource utilization have been solved. This has enabled the high-value utilization of carbon resources and the stable and efficient operation of the system, adapting to the characteristics of large flow rates and wide operating conditions in thermal power plants.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- GUIZHOU INST OF COAL SCI
- Filing Date
- 2026-03-27
- Publication Date
- 2026-07-03
AI Technical Summary
Existing flue gas CO2 capture technologies for thermal power plants suffer from problems such as high regeneration energy consumption, low CO2 load capacity, poor economic efficiency in carbon resource utilization, and difficulty in controlling carbon capture-methanol cogeneration systems, making it difficult to adapt to the characteristics of large flow rates and wide operating condition fluctuations in thermal power plants.
A process system deeply coupled with CO2 capture and methanol synthesis is constructed by using a non-aqueous phase change absorbent and an improved model predictive control algorithm. Energy self-balancing is achieved through waste heat recovery via heat pumps, and system parameters and process are optimized by combining an AI intelligent control unit.
It significantly reduces CO2 capture and regeneration energy consumption, enhances the high-value utilization of carbon resources, improves the robustness and control accuracy of the system, ensures stable and efficient operation over a wide range of operating conditions, and improves the economics and feasibility of the CCUS project.
Smart Images

Figure CN121944759B_ABST