My research experience began in 2014 with my final degree project “Thermal characterization of MSW for its gasification and pyrolysis” carried out at the Slovenská Technická Univerzita V Bratislave. During the 2017/2018 academic year, I began my doctorate at the UPC under the supervision of Prof. Francesc Recasens and Prof. Juan Jesús Pérez. My doctoral research resulted in five publications which make up my doctoral thesis "Use of mathematical methods in solving chemical engineering problems", read in July 2020 obtaining the cum laude grade.
My main research line until 2022 has been the development and resolution of various mathematical models of chemical reactors, extractors and sorption columns. The complexity of the physical phenomena involved, such as reaction kinetics, mass transfer phenomena or interface equilibrium, leads to the study of PDE systems, global multivariable optimization and predictive algorithms. Among the main results of my research are the development of new mathematical models and the definition of physical parameters.
My interest in applied mathematics led me to study Molecular Dynamics and Principal Component Analysis for the conformational assessment of a peptide in collaboration with the Molecular and Industrial Biotechnology Group between 2019 and 2020. In 2020 I started my collaboration with the Industrial Maths Research Group in CRM, with the elaboration and resolution of a packed bed extraction model. Since then, my research in CRM has been focused on the mathematical modelling of adsorption processes for contaminant removal.
Mathematical modelling, mass transfer phenomena, sorption columns, extraction, chemical reactors, environmental applications.
PDC2021-121088-I00 Exploiting mathematics to aid in the design of adsorption columns (MathCol). Timothy Myers. (Centre de Recerca Matemàtica). 2021-2023.
PID2020-115023RB-I00 Aplicaciones medioambientales de difusión con una
frontera móvil. Timothy Myers. (Centre de Recerca Matemàtica). 2021-2022.
Valverde, A.; Alvarez-Florez, J.; Recasens, F. 2020. Mathematical modelling of supercritical fluid extraction of liquid lanolin from raw wool. Solubility and mass transfer rate parameters. Chemical Engineering Research & Design. Elsevier. 164, pp.352-360.
Valverde, A.; Alvarez-Florez, J.; Recasens, F. 2020. Hybrid nonlinear autoregressive neural network—Weibull statistical model applied to the supercritical extraction of lanolin from raw wool. SN Applied Sciences. Springer Nature. 2-1651 (2020).
Valverde, A.; Recasens, F. 2019. Extraction of solid lanoline from raw wool with near-critical ethanol-modified CO2 — A mass transfer model. The Journal of Supercritical Fluids. Elsevier. 145, pp.151-161.
Valverde, A.; Recasens, F. 2019. Binary interaction parameters from reacting mixture data. Supercritical biodiesel process with CO2 as cosolvent. The Journal of Supercritical Fluids. Elsevier. 143, pp.107-119.
Valverde, A.; Gomez-Gutierrez, P.; Perez, J. 2020. Assessment of the conformational profile of bombesin by computational methods. Journal of Molecular Graphics & Modelling. Elsevier. 98-107590.
Myers, T. G.; Valverde, A.; Aguareles, A.; Font, F.; Calvo-Schwarzwalder, M. 2022. Modelling mass transfer from a packed bed by fluid extraction (accepted for publication). International Journal of Heat and Mass Transfer. Elsevier.