Ricardez-Sandoval, Luis - University of Waterloo - Department of Chemical Engineering

个人简介

BASc, Instituto Tecnologico de Orizaba, Mexico MASc, Instituto Tecnologico de Celaya, Mexico PhD, University of Waterloo

研究领域

Professor Ricardez-Sandoval’s research program is focused on the development and implementation of theoretical and computational-based tools that are aimed at improving the design and operability of chemical systems and to provide new insight or better understanding of industrially-relevant processes. His research group has developed a set of methodologies that can be applied to a general class of chemical systems for process improvement. Also, his group has developed new mathematical models that provide new insight about the mechanisms and operation of industrially-relevant processes. A key aspect in Prof. Ricardez-Sandoval’s research is the implementation of uncertainty analyses to assess process variability under uncertainty; he strongly believes that model uncertainty is essential for designing efficient mathematical tools that can be realistically applied in practice for process improvement. Professor Ricardez-Sandoval research has been supported by a network of collaborators from the federal government, i.e. CFI, ORF, NSERC, Mitacs, CanmetENERGY, Government of Canada, industrial partners, i.e. Activation Laboratories and Angstrom Engineering, and the government of Ontario, i.e. OCE and the Early Researchers Award granted by the Ministry of Research and Innovation. In addition, I have received visitor scholars in my group that have been financially supported by different domestic and international agencies, e.g. Emerging Leaders in the Americas Program (ELAP), Canada-Brazil Science without borders and Consejo Nacional de Ciencia y Tecnologia, Mexico (CONACyT). Professor Ricardez-Sandoval’s current interests in nanotechnology are focused on the development of multiscale models for manufacturing processes and industrially-relevant catalytic processes such as thin film deposition and methane cracking reactions for the production of hydrogen and carbon nano-materials, e.g. nano-tubes and nano-filaments. He also aims to develop comprehensive mechanistic process models that can describe the behavior of CO2 capture technologies and new gasification technologies for clean power production. Professor Ricardez-Sandoval research interests also include the development of new methodologies that can efficiently perform optimal design while considering the dynamics and controllability of the systems under uncertainty. Professor Ricardez-Sandoval also develops novel and efficient mathematical formulations for optimal scheduling of large-scale facilities to improve operations management in the manufacturing and analytical services sectors. More information about Dr. Ricardez-Sandoval’s research group.

近期论文

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Rasoulian, S., Ricardez-Sandoval, L.A., “A robust nonlinear model predictive controller for a multiscale thin film deposition process”, Chemical Engineering Science, 136, 38-49 (2015) Invited paper. Li, J., Croiset, E., Ricardez-Sandoval, L.A., “Carbon Nanotube Growth: First-principles-based Kinetic Monte Carlo Model”, Journal of Catalysis, 326, 15-25 (2015). Rasoulian, S., Ricardez-Sandoval, L.A., “Robust multivariable estimation and control in an epitaxial thin film growth process under uncertainty”, Journal of Process Control, 34, 70-81 (2015). Patil, B., Maia, E., Ricardez-Sandoval, L.A., “Integration of Design, Scheduling and Control of Multi-Product, Chemical Processes Under Uncertainty", AlChE Journal, 61, 2456-2470(2015). Sahraei, M.H., Duchesne, M.A., Yandon, R., Majeski, A., Hughes, R., Ricardez-Sandoval, L.A., “Reduced order modeling of a short-residence time gasifier", Fuel, 161, 222-232 (2015). Patil, B., Fukasawa, R., Ricardez-Sandoval, L.A., “Scheduling of Operations in a Large-Scale Scientific Services Facility via Multicommodity Flow and an Optimization-Based Algorithm”, Industrial & Engineering Chemistry Research, 54, 1628–1639 (2015). Sahraei, M.H., Ricardez-Sandoval, L.A., “Controllability and Optimal Scheduling of a CO2 capture plant using Model Predictive Control”, International Journal of Greenhouse Gas Control, 30, 58-71 (2014). Bahakim, S., Rasoulian, S., Ricardez-Sandoval, L.A., “Optimal design of large-scale chemical processes under uncertainty: A ranking-based approach”, AIChE Journal, 60, 3243–3257 (2014). Bahakim, S., Ricardez-Sandoval, L.A. “Simultaneous design and MPC-based control for dynamic systems under uncertainty: A stochastic approach”, Computers & Chemical Engineering, 63, 66-81 (2014). Li, J., Croiset, E., Ricardez-Sandoval, L.A., “Effect of metal-support interface during CH4 and H2 dissociation on Ni/γ-Al2O3: A Density Functional Theory Study”, Journal of Physical Chemistry C, 117, , (2013). Sanchez-Sanchez, K. and Ricardez-Sandoval, L.A., “Simultaneous process synthesis and control design under uncertainty: A worst-case performance approach”, AIChE Journal, 59, 2497-2514 (2013). Harun, N., Nittaya, T., Douglas, P., Croiset, E. and Ricardez-Sandoval, L., “Dynamic simulation of MEA absorption process for CO2 capture from power plants”, International Journal of Greenhouse Gas Control, 10, 295-309 (2012). Ricardez-Sandoval, L.A., “Current challenges in the design and control of multiscale systems”, Canadian Journal of Chemical Engineering, 89, 1324-1341 (2011) Invited paper.