Browsing by Author "Mejía Galarza, William Andrés"

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Análisis descriptivo, predictivo y causal de la síntesis termocatalítica de CH3OH a partir de CO2 e H2 mediante el empleo de inteligencia artificial para proveer nuevas perspectivas sobre el proceso.
(Universidad de Cuenca, 2023-06-05) Pulla Pasan, Juan Diego; Sarango Condolo, Cristhian Fernando; Mejía Galarza, William Andrés
Thermocatalytic hydrogenation of CO2 to methanol is a promising technology in the fight against climate change. This process helps to reduce CO2 emissions by transforming it into chemical compounds such as methanol, which is considered an efficient fuel and serves as a precursor in chemical synthesis. To improve the process, new materials and operating conditions are required that can be made available within reasonable time frames, so the use of artificial intelligence for this purpose can provide notable advantages. In this context, this study allowed for a descriptive, predictive and causal analysis of the thermocatalytic synthesis of methanol. For this purpose, a database made up of 3,011 experimental points obtained through the review of 160 scientific articles. The descriptive analysis revealed that the process is thermodynamically restricted, so it depends on both the reaction conditions and the influence of the catalyst. For predictive analysis of methanol space time yield (STY) from experimental descriptors, five artificial intelligence algorithms were evaluated (Random Forest, XGBoost, Neural Networks, k-Nearest Neighbors, and Supporting Vector Machines). The XGBoost and Random Forest algorithms obtained the highest cross-validation coefficients of 0.881 ± 0.013 and 0.862 ± 0.014 respectively. Once the SHAP algorithm was applied, it was identified that the most important descriptors in XGBoost and Random Forest were gas hourly space velocity (GHSV), pressure (P) and reaction temperature (T).
Diseño y construcción de un reactor químico para la obtención de zeolitas sintéticas
(2014) Bustillos Yaguana, Ana Elizabeth; Suin Arévalo, Mayra Alejandra; Mejía Galarza, William Andrés
ABSTRACT Zeolites are aluminosilicates, a class of tectosilicates. Due to its physical and chemical properties such as absorption, high ion exchange capacity and microporous structure; zeolites present a large number of industrial applications like agricultural fertilizers, in the manufacture of urea sensors, catalysts, heavy metals removal, water treatment, among others. In the present research an equipment capable of synthesizing zeolites of several kinds by using microwaves as a heating system and starting from sources of silicon, aluminum and potassium as hydroxides, was designed and built. For the design and construction of the equipment several tests were carried out which made possible to modify the initial design until obtain an equipment that is able to accomplish the expected synthesis. To characterize the synthesized products X-Ray Diffraction (XRD) was used as analytical technique. The results acquired in this study shows that some types of zeolites can be synthesized by using the equipment constructed, reducing significantly the time of synthesis in comparison to a hydrothermal treatment.