Multi-parameter Linear Regression Analysis on Cyclic CO2 Capture Behavior by Limestone
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Abstract
The cyclic CO2 capture behavior of two calcium-based sorbents were tested based on thermogravimetric analysis method (TGA). Using linear regression statistic analysis, the relationship was determined between the reaction parameters (including cycle number, carbonation reaction time, calcination temperature and calcination atmosphere) and the cyclic reaction rate and conversion rate. Evaluation function F was introduced to deduce the effect of each independent parameter on the cyclic capture behavior of sorbents. Result show that the cyclic CO2 capture process by calcium-based sorbent can be accurately described under different parameter conditions through establishment of regression equations for different phases of reaction mechanism respectively. The effect of reaction time on the capture efficiency is most significant during chemical reaction control phase, and the cycle number turns to be dominant after diffusion reaction control phase is initiated.
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