Gonzalo Guillén Gosálbez: Katalogdaten im Herbstsemester 2019

Name	Herr Prof. Dr. Gonzalo Guillén Gosálbez
Lehrgebiet	Chemisches System-Engineering
Adresse	Chemisches System-Engineering ETH Zürich, HCI G 135 Vladimir-Prelog-Weg 1-5/10 8093 Zürich SWITZERLAND
Telefon	+41 44 633 40 84
E-Mail	gonzalo.guillen.gosalbez@chem.ethz.ch
Departement	Chemie und Angewandte Biowissenschaften
Beziehung	Ordentlicher Professor

Nummer	Titel	ECTS	Umfang	Dozierende
529-0459-00L	Case Studies in Process Design Only for Chemical and Bioengineering MSc, Programme Regulations 2005. IMPORTANT NOTICE for Chemical and Bioengineering students: There are two different version of this course for the two regulations (2005/2018), please make sure to register for the correct version according to the regulations you are enrolled in.	7 KP	3A	G. Guillén Gosálbez
Kurzbeschreibung	The learning objective is to design, simulate and optimise a real (bio-)chemical process from a process systems perspective. Specifically, a commercial process simulation software will be used for the process simulation and optimisation. Students have to integrate knowledge and develop engineering thinking and skills acquired in the other courses of the curriculum.
Lernziel	Simulate and optimise a chemical production process using a commercial process simulation software.
Inhalt	Create a model describing the production process - Students will apply a commercial process simulator systematically for process creation and analysis. - Students will create a simulation flowsheet for steady-state simulation - Students will evaluate the sequencing in which process units associated with recycle loops are solved to obtain converged material and energy balances. Evaluate the performance of the production process - Students will analyse and understand the degrees of freedom in modelling process units and flowsheets. - Students will understand the role of process simulators in process creation. - Students will make design specifications and follow the iterations implemented to satisfy them. - Students will judge the role of process simulators in equipment sizing and costing and profitability analysis. - Students will assess the economic performance of the process, including investment and operation costs. - Students will assess the environmental impact of the production process. Optimise the design and operating conditions of the production process - Students will solve sensitivity analyses and optimisations are conducted considering technical and economic criteria. - Students will generate process integration alternatives to improve the initial production process. - Students will optimise the production process considering economic and environmental criteria.
Voraussetzungen / Besonderes	Before the case study week, students are encouraged to participate in exercises of the course of Process Simulation and Flowsheeting in order to get familiar with Aspen Plus simulation software (highly recommended). The problem statement and detailed instructions are provided at the beginning of the case study week. During the case study week: - Students work in teams of 3-5 people. - Students have to pose and solve process equipment and system design related problems. - Students have to coordinate the activities, the preparation of the written report and the oral presentation. - Students get support from project assistants, the course supervisor, and industrial expertise. The groups deliver the written report on a predefined date. The groups are also asked to critically review a report from another group. The students receive the comments of their reviewing group and the course supervisors on a predefined date. Finally, the students participate in a vist to the production site of the process they modelled. There, they present their work to the industrial experts, get valuable feedback and a tour in the industrial facilities.
529-0459-01L	Case Studies in Process Design IMPORTANT NOTICE for Chemical and Bioengineering students: There are two different version of this course for the two regulations (2005/2018), please make sure to register for the correct version according to the regulations you are enrolled in. Please do not register for this course if you are enrolled in regulations 2005.	3 KP	3A	G. Guillén Gosálbez
Kurzbeschreibung	The learning objective is to design, simulate and optimise a real (bio-)chemical process from a process systems perspective. Specifically, a commercial process simulation software will be used for the process simulation and optimisation. Students have to integrate knowledge and develop engineering thinking and skills acquired in the other courses of the curriculum.
Lernziel	Simulate and optimise a chemical production process using a commercial process simulation software.
Inhalt	Create a model describing the production process - Students will apply a commercial process simulator systematically for process creation and analysis. - Students will create a simulation flowsheet for steady-state simulation - Students will evaluate the sequencing in which process units associated with recycle loops are solved to obtain converged material and energy balances. Evaluate the performance of the production process - Students will analyse and understand the degrees of freedom in modelling process units and flowsheets. - Students will understand the role of process simulators in process creation. - Students will make design specifications and follow the iterations implemented to satisfy them. - Students will judge the role of process simulators in equipment sizing and costing and profitability analysis. - Students will assess the economic performance of the process, including investment and operation costs. - Students will assess the environmental impact of the production process. Optimise the design and operating conditions of the production process - Students will solve sensitivity analyses and optimisations are conducted considering technical and economic criteria. - Students will generate process integration alternatives to improve the initial production process. - Students will optimise the production process considering economic and environmental criteria.
Voraussetzungen / Besonderes	Before the case study week, students are encouraged to participate in exercises of the course of Process Simulation and Flowsheeting in order to get familiar with Aspen Plus simulation software (highly recommended). The problem statement and detailed instructions are provided at the beginning of the case study week. During the case study week: - Students work in teams of 3-5 people. - Students have to pose and solve process equipment and system design related problems. - Students have to coordinate the activities, the preparation of the written report and the oral presentation. - Students get support from project assistants, the course supervisor, and industrial expertise. The groups deliver the written report on a predefined date. The groups are also asked to critically review a report from another group. The students receive the comments of their reviewing group and the course supervisors on a predefined date. Finally, the students participate in a vist to the production site of the process they modelled. There, they present their work to the industrial experts, get valuable feedback and a tour in the industrial facilities.
529-0549-01L	Case Studies in Process Design I	3 KP	3A	G. Guillén Gosálbez, J. Dolenc, U. Fischer
Kurzbeschreibung	Schwerpunkt von Teil I der Fallstudie ist eine literaturbasierte Gegenüberstellung verschiedener Prozessvarianten. Zu diesem Zweck sollen relevante Daten über einen vorgegebenen Prozess gesammelt und eine vergleichende Prozessbeurteilung erarbeitet werden. Eine vielversprechende Prozessvariante wird in der Folge ausgewählt und ein Blockdiagramm sowie Massen- und Energiebilanzen erstellt.
Lernziel	- Kennenlernen verschiedener Informationsträger - Anwendung des Stoffes aus den Vorlesungen - Problemzentriertes Vorgehen (Anwendung verschiedener Methoden auf den selben Gegenstand) - Projektarbeit (Planung, Teamarbeit) - Berichterstattung und Vortragstechnik
Inhalt	Schwerpunkt von Teil I der Fallstudie ist eine literaturbasierte Gegenüberstellung verschiedener Prozessvarianten. Zu diesem Zweck sollen relevante Daten über einen vorgegebenen Prozess zusammengetragen und bearbeitet werden. Dies sind zum einen Stoffdaten (physiko-chemische, toxikologische, sicherheits- und umweltrelevante Daten für die beteiligten Stoffe) und zum anderen Informationen über Synthesewege und deren technische Realisierung (Reaktionsmechanismen und Kinetik, benötigte Aufarbeitungs- und Trennverfahren, sowie ökonomische Kenngrössen, Umwelt- und Sicherheitsaspekte). Anhand dieser aus Literatur und Datenbanken zusammengetragenen Informationen und qualitativer und quantitativer Zielgrössen erfolgt eine erste vergleichende Prozessbeurteilung. Eine vielversprechende Prozessvariante wird in der Folge ausgewählt und ein Blockdiagramm sowie Massen- und Energiebilanzen erstellt.
529-0613-00L	Process Simulation and Flowsheeting Only for Chemical and Bioengineering MSc, Programme Regulations 2005. IMPORTANT NOTICE for Chemical and Bioengineering students: There are two different version of this course for the two regulations (2005/2018), please make sure to register for the correct version according to the regulations you are enrolled in.	7 KP	3G	G. Guillén Gosálbez
Kurzbeschreibung	This course encompasses the theoretical principles of chemical process simulation, as well as its practical application in process analysis and optimization. The techniques for simulating stationary and dynamic processes are presented, and illustrated with case studies. Commercial software packages are presented as a key engineering tool for solving process flowsheeting and simulation problems.
Lernziel	This course aims to develop the competency of chemical engineers in process flowsheeting and simulation. Specifically, students will develop the following skills: - Deep understanding of chemical engineering fundamentals: the acquisition of new concepts and the application of previous knowledge in the area of chemical process systems and their mechanisms are crucial to intelligently simulate and evaluate processes. - Modeling of general chemical processes and systems: students have to be able to identify the boundaries of the system to be studied and develop the set of relevant mathematical relations, which describe the process behavior. - Mathematical reasoning and computational skills: the familiarization with mathematical algorithms and computational tools is essential to be capable of achieving rapid and reliable solutions to simulation and optimization problems. Hence, students will learn the mathematical principles necessary for process simulation and optimization, as well as the structure and application of process simulation software. Thus, they will be able develop criteria to correctly use commercial software packages and critically evaluate their results.
Inhalt	Overview of process simulation and flowsheeting - Definition and fundamentals - Fields of application - Case studies Process simulation - Modeling strategies of process systems - Mass and energy balances and degrees of freedom of process units and process systems Process flowsheeting - Flowsheet partitioning and tearing - Solution methods for process flowsheeting - Simultaneous methods - Sequential methods Process optimization and analysis - Classification of optimization problems - Linear programming - Non-linear programming - Optimization methods in process flowsheeting Commercial software for simulation: Aspen Plus - Thermodynamic property methods - Reaction and reactors - Separation / columns - Convergence, optimisation & debugging
Literatur	An exemplary literature list is provided below: - Biegler, L.T., Grossmann I.E., Westerberg A.W., 1997, systematic methods of chemical process design. Prentice Hall, Upper Saddle River, US. - Boyadjiev, C., 2010, Theoretical chemical engineering: modeling and simulation. Springer Verlag, Berlin, Germany. - Ingham, J., Dunn, I.J., Heinzle, E., Prenosil, J.E., Snape, J.B., 2007, Chemical engineering dynamics: an introduction to modelling and computer simulation. John Wiley & Sons, United States. - Reklaitis, G.V., 1983, Introduction to material and energy balances. John Wiley & Sons, United States.
Voraussetzungen / Besonderes	A basic understanding of material and energy balances, thermodynamic property methods and typical unit operations (e.g., reactors, flash separations, distillation/absorption columns etc.) is required.
529-0613-01L	Process Simulation and Flowsheeting IMPORTANT NOTICE for Chemical and Bioengineering students: There are two different version of this course for the two regulations (2005/2018), please make sure to register for the correct version according to the regulations you are enrolled in. Please do not register for this course if you are enrolled in regulations 2005.	6 KP	3G	G. Guillén Gosálbez
Kurzbeschreibung	This course encompasses the theoretical principles of chemical process simulation, as well as its practical application in process analysis and optimization. The techniques for simulating stationary and dynamic processes are presented, and illustrated with case studies. Commercial software packages are presented as a key engineering tool for solving process flowsheeting and simulation problems.
Lernziel	This course aims to develop the competency of chemical engineers in process flowsheeting and simulation. Specifically, students will develop the following skills: - Deep understanding of chemical engineering fundamentals: the acquisition of new concepts and the application of previous knowledge in the area of chemical process systems and their mechanisms are crucial to intelligently simulate and evaluate processes. - Modeling of general chemical processes and systems: students have to be able to identify the boundaries of the system to be studied and develop the set of relevant mathematical relations, which describe the process behavior. - Mathematical reasoning and computational skills: the familiarization with mathematical algorithms and computational tools is essential to be capable of achieving rapid and reliable solutions to simulation and optimization problems. Hence, students will learn the mathematical principles necessary for process simulation and optimization, as well as the structure and application of process simulation software. Thus, they will be able develop criteria to correctly use commercial software packages and critically evaluate their results.
Inhalt	Overview of process simulation and flowsheeting - Definition and fundamentals - Fields of application - Case studies Process simulation - Modeling strategies of process systems - Mass and energy balances and degrees of freedom of process units and process systems Process flowsheeting - Flowsheet partitioning and tearing - Solution methods for process flowsheeting - Simultaneous methods - Sequential methods Process optimization and analysis - Classification of optimization problems - Linear programming - Non-linear programming - Optimization methods in process flowsheeting Commercial software for simulation: Aspen Plus - Thermodynamic property methods - Reaction and reactors - Separation / columns - Convergence, optimisation & debugging
Literatur	An exemplary literature list is provided below: - Biegler, L.T., Grossmann I.E., Westerberg A.W., 1997, systematic methods of chemical process design. Prentice Hall, Upper Saddle River, US. - Boyadjiev, C., 2010, Theoretical chemical engineering: modeling and simulation. Springer Verlag, Berlin, Germany. - Ingham, J., Dunn, I.J., Heinzle, E., Prenosil, J.E., Snape, J.B., 2007, Chemical engineering dynamics: an introduction to modelling and computer simulation. John Wiley & Sons, United States. - Reklaitis, G.V., 1983, Introduction to material and energy balances. John Wiley & Sons, United States.
Voraussetzungen / Besonderes	A basic understanding of material and energy balances, thermodynamic property methods and typical unit operations (e.g., reactors, flash separations, distillation/absorption columns etc.) is required.