Professor



Luis A. Ricardez-Sandoval

 

Canada Research Chair (CRC) Tier II in Multiscale Modelling and Process Systems​

Associate Professor of Department of Chemical Engineering

Member, American Institute of Chemical Engineers (AIChE)
Member, Professional Engineers Ontario (PEO)
Member, Canadian Society for Chemical Engineering (CSChE)​


Contact Information

Phone: +(519)-888-4567, x38667

Fax: +(519)-888-4347

Email: laricard@uwaterloo.ca

Education

Ph.D., University of Waterloo, 2008.

MASc, Technological Institute of Celaya, 2000

BASc, Technological Institute of Orizaba, 1997


 
 
 
Research
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Integration of design and control

Chemical processes are complex dynamic systems that are typically designed to accomplish a set of goals at minimum cost. To remain competitive, chemical plants must be designed such that they meet product specifications under stringent operational, environmental and safety restrictions in the presence of disturbances and uncertainty in the process parameters. Integration of design and control, also known as simultaneous design and control, has been accepted as an attractive alternative to optimally design chemical systems that can meet the production targets and minimize product variability in the presence of disturbances and parameter uncertainty. Our focus in this research is to develop new practical and efficient methodologies that integrate design and control. Over the years, our group have developed methodologies that have been successfully applied to simultaneously design and control typical chemical processes such as a distillation system or water treatment plants, and large-scale chemical systems such as the Tennessee Eastman process. Recently, we have also developed methodologies that perform the simultaneous design, scheduling and control of multiproduct systems under uncertainty.


 

Sample Research Projects

 
 
 
 

 

 
 
 
 
 
 

 

 
 
 

 

 
 
 

 

 
 
 
 
 
 


 

 
 
 


Multiscale Modelling and Control

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 


The field of nanotechnology, biotechnology and microelectronics are mostly characterized by coupled physical and chemical phenomena that evolve at different length and time scales thus requiring the need of a multiscale modelling approach. Thin film deposition is a key process in the semiconductor manufacturing sector that is widely used to deposit films mounted on portable electronic devices. For the device to work properly, key properties such as the surface roughness and thickness of the film must meet certain criteria. In the industrial practice, the production of thin films is currently operated empirically, without a deep knowledge of the underlying dynamics. Therefore, the development of efficient control strategies for thin film deposition is needed to satisfy the increasingly stringent requirements in the semiconductor manufacturing sector. However, a few obstacles hinder the progress in this field: i) development of fundamental mathematical models describing the system for optimization and control purposes, ii) lack of practical in-situ sensors that provide real-time measurements for online control, and iii) uncertainties in the deposition process that are not captured by the prevalent, nominal multiscale models. Our research in this area aims to develop efficient techniques that improve the controllability of multiscale process systems under limited availability of on-line measurements and uncertainty in the physical parameters. 

 
 
 


 

Another research avenue that has been investigated by group in multiscale systems is first-principles calculations for relevant catalytic systems. In this research, we have made use of Density Functional Theory (DFT) analysis to provide insight (from the modelling point of view) on the expected behaviour of certain reactions in the production of carbon nanotube and carbon filaments. Also, we study the effects of different metals and their supports in the production of these carbonaceous materials.


 

Sample Research Projects


 


Process improvement in CO2 capture and gasification systems

Climate change is one of the world‘s most pressing environmental issues, and has become a leading technology driver for the energy and broader industrial sectors. Greenhouse gas emissions—in particular, carbon dioxide (CO2)—are considered the principal cause of climate change. This is of great concern, as fossil-fired power plants are a leading contributor of CO2 emissions, while being one of the main sources of the world‘s energy supply. It has become clear that there is no—silver bullet—solution to clean energy production; while many initiatives focus on advancing renewable and carbon neutral energy supplies, the future energy portfolio must also consider carbon capture systems that reduce greenhouse emissions from fossil-fired power plants. The aim of my research in this field is to provide insight on the optimal design, operation and control of conventional and advanced CO2 capture technologies. Another research avenue that is being currently explored by my group is on developing modelling studies for technologically-advanced gasification systems. 


 

Sample Research Projects


 

Students


 

 

Postdoc
 
Current Graduate Students
 
Former Graduate Students
 

 

Visitor Scholars

 
  • Jozsef Gaspar, Ph.D. (Technical University of Denmark)
  • Maricarmen Lopez, MASc. (Iberoamericana University)
  • Barbara Rodriguez, MASc. (Iberoamericana University)
  • Nazmul Alam, Ph.D. (Department of Chemistry, University of Waterloo)
  • Darinel Vazquez-Marquez, Ph.D. (Iberoamericana University)
  • Lazaro Hernandez, MASc. (Technological Institute of Orizaba)
  • Kelvyn Sanchez-Sanchez, MASc. (Technological Institute of Orizaba)
  • Jennifer Charry-Sanchez, BASc.
  • Rolando Barrera, Ph.D. (University of Antioquia)
  • Gloria Gutierrez, Ph.D. (University of Valladolid)
 


 


 
 
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