Optimization of CO2 Capture Efficiency Through Analysis of Temperature Variables in a Packed Absorption Column

With the advent of the industrial revolution, climate change has accelerated alarmingly, leaving significant traces on the ozone layer and increasing levels of carbon dioxide (CO2) and other greenhouse gases. It becomes crucial to reduce and optimize CO2 capture efficiency in order to mitigate the impacts of climate change and decrease emissions of greenhouse gases responsible for this global phenomenon. The development of effective strategies for CO2 capture becomes a fundamental priority. This analysis focuses on the effect of temperature variations in a packed absorption column on CO2 capture efficiency. Through the calibration of temperature sensors using Arduino, data acquisition and analysis tools are employed to gather and analyze temperature data in the absorption process. The obtained data is then compared between steady-state absorption conditions and saturation conditions to evaluate CO2 capture. The findings of this analysis contribute to the development of more effective CO2 capture strategies in post-combustion processes, supporting the goal of reducing greenhouse gas emissions and mitigating climate change. By focusing on the analysis of temperature variations in the absorption column, this study provides valuable information to inform CO2 capture processes and promote more sustainable practices in the industry.