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Instrumentation and control in a laboratory-scale process for CO2 capture post-combustion
María Fernanda Silva León1, Erick Omar Castañeda Magadán1, Miriam Navarrete Procopio1
1Facultad de Ciencias Químicas e Ingeniería, Universidad Autónoma del Estado de Morelos (UAEM), Av. Universidad 1001, Col. Chamilpa, C.P. 62209 Cuernavaca, Morelos, Mexico.
This study details a low-cost system for monitoring and controlling a laboratory-scale carbon dioxide capture process (CO2-CP) using monoethanolamine. The system effectively tracks temperature and flow, ensuring stable operation and reliable data for industrial applications.
Area of Science:
- Chemical Engineering
- Environmental Science
- Process Control
Background:
- Thermoelectric power plants generate significant flue gases requiring effective carbon dioxide capture.
- Industrial-scale CO2 capture often utilizes packed columns, necessitating robust monitoring and control systems.
- Developing low-cost, reliable instrumentation is crucial for advancing CO2 capture technologies.
Purpose of the Study:
- To instrument and control a laboratory-scale post-combustion CO2 capture process (CO2-CP).
- To implement a low-cost data acquisition system for real-time monitoring and control of key process variables.
- To validate the monitoring system and evaluate the CO2 absorption process performance.
Main Methods:
- Implementation of a low-cost data acquisition system with an open-source graphical user interface.
- Real-time acquisition and processing of temperature and flow rate data.
- Experimental testing of a 10% monoethanolamine (MEA) solution in a packed column setup.
Main Results:
- The CO2 absorption process using MEA is exothermic, causing a ~2°C temperature increase at the column outlet.
- The system reached saturation after approximately 300 seconds.
- Mass balance was maintained, confirming stable operation and measurement reliability.
Conclusions:
- The developed low-cost system effectively monitors and controls a laboratory-scale CO2 capture process.
- The system provides reliable data for understanding process dynamics and ensuring stability.
- This approach supports the development of efficient and cost-effective CO2 capture solutions for industrial applications.
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