Analyzing the experimental data of CO 2 equilibrium absorption in the aqueous solution of DEA + MDEA with Random Forest and Leverage method
| Autor: | Hamid Reza Saghafi, Mohammad M. Ghiasi, Amir H. Mohammadi |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Aqueous solution
Chemistry business.industry Fossil fuel Experimental data 02 engineering and technology 010501 environmental sciences Management Monitoring Policy and Law 01 natural sciences Pollution Industrial and Manufacturing Engineering Random forest General Energy Data point 020401 chemical engineering Greenhouse gas Forensic engineering Leverage (statistics) 0204 chemical engineering Solubility Process engineering business 0105 earth and related environmental sciences |
| Zdroj: | International Journal of Greenhouse Gas Control. 63:329-337 |
| ISSN: | 1750-5836 |
| DOI: | 10.1016/j.ijggc.2017.03.028 |
| Popis: | The continuing production of energy from fossil fuels is responsible for large emissions of CO 2 component of greenhouse gases. Employing amine-based solutions is a common approach for removing the produced CO 2 in numerous carbon capture systems. In this communication, a novel methodology namely Random Forest (RF) is employed for developing a tree-based predictive tool. The prediction capability of the proposed RF model is compared to the modified Deshmukh–Mather thermodynamic model. The presented RF model shows an average absolute relative deviation percent (AARD%) of 3.74, while the modified Deshmukh–Mather model estimates the CO 2 loading capacity of the DEA + MDEA solution with AARD% of 12.10. Furthermore, the reliability and quality of the experimental data for CO 2 solubility in DEA + MDEA aqueous solution has been investigated in this study using Leverage algorithm. According to the results, there are two probable doubtful data points in the investigated database. |
| Databáze: | OpenAIRE |
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