Found 10 relevant results in 3.38s where lecturer="Gonzalo Guillén Gosálbez"
The focus of part I of the case study course lies on the literature-based comparison of chemical process alternatives. Based on this compilation and selected quantitative as well as qualitative measures, a process assessment and comparison is conducted. A basic flowsheet is then generated, and mass and energy balances are performed to carry out a preliminary economic and environmental assessment.
Based on part I of the case study course the main reaction and purification steps of one process alternative are investigated. Models describing the different unit operations have to be built. These models are used for a sensitivity analysis and optimization of the operating conditions. The results are discussed with regard to technical, economic, safety, and environmental implications.
The learning objective is to design, simulate and optimize a real (bio-)chemical process from a process systems perspective. Specifically, a commercial process simulation software (Aspen) will be used for the process simulation and optimization. Students have to integrate knowledge and develop engineering thinking and skills acquired in the other courses of the curriculum.
This course will offer a broad overview on several statistical techniques that can be applied in the field of (bio)chemical engineering for process modeling and experimental design. During the course, the student will be initially given basic statistical notions (variance, covariance, p-values, etc.), followed by an overview of the main so-called chemometric techniques, with particular focus on mu
Sustainable chemistry embodies the design and efficient manufacture of chemicals from abundant and renewable raw materials using routes that minimize energy requirements, avoid damaging the environment and human health, and are economically viable. It is a powerful tool to help society achieve several of the Sustainable Development Goals identified by the United Nations.
The ICB seminar series covers the umbrella of diverse research activities encompassed within the institute, including catalysis, functional materials, polymer engineering, separations, microfluidics, process design, and systems engineering. This series was founded with the aim of promoting cross-disciplinary scientific discourse and interaction with other distinguished groups working worldwide.
This module covers theory and tools for the mathematical modeling of chemical processes using mechanistic and data-driven approaches, including algorithms to optimize them via deterministic and stochastic strategies. The module also provides the basis for implementing such models and optimization algorithms in Python.
The course is focused on the design of Chemical Processes, with emphasis on the preliminary stages of the design approach, where process creation and quick selection among many alternatives are important. The main concepts behind more detailed process design and process simulation are also examined.
This course encompasses the theoretical principles of chemical process simulation and optimization, as well as its practical application in process analysis. The techniques for simulating stationary and dynamic processes are presented, and illustrated with case studies. Commercial software packages (Aspen) are introduced for solving process flowsheeting and optimization problems.
This module provides an overview of safety in the chemical industry, focusing on toxicology, industrial hygiene, fires and explosions, hazards identification and risk assessment. It also introduces the fundamentals of environmental impact studies, focusing on life cycle assessment.