Gonzalo Guillén Gosálbez: Catalogue data in Autumn Semester 2023

Name	Prof. Dr. Gonzalo Guillén Gosálbez
Field	Chemical Systems Engineering
Address	Chemisches System-Engineering ETH Zürich, HCI G 135 Vladimir-Prelog-Weg 1-5/10 8093 Zürich SWITZERLAND
Telephone	+41 44 633 40 84
E-mail	gonzalo.guillen.gosalbez@chem.ethz.ch
Department	Chemistry and Applied Biosciences
Relationship	Full Professor

Number	Title	ECTS	Hours	Lecturers
529-0459-01L	Case Studies in Process Design	3 credits	3A	G. Guillén Gosálbez
Abstract	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.
Learning objective	Simulate and optimize a chemical production process using commercial process simulation software.
Content	Create a model describing the production process - Students will apply a commercial process simulator systematically for process creation and analysis. - Students will create a process simulation flowsheet for steady-state simulation. 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 operating costs (OPEX), and capital investment (CAPEX), based on the outcome of the simulation model. - Students will assess the environmental impact of the production process following the Life Cycle Assessment (LCA) methodology. Optimize the design and operating conditions of the production process - Students will carry out sensitivity analyses and optimizations considering technical and economic criteria. - Students will generate process integration alternatives to improve the initial design. - Students will optimize the production process considering economic and environmental criteria.
Prerequisites / Notice	Before the case study week, students are encouraged to participate in the exercises of the course "Process Simulation and Flowsheeting" in order to get familiar with the Aspen Plus simulation software (this is highly recommended, but not mandatory). The problem statement and detailed instructions are provided in the project brief made available at the beginning of the case study week. During the case study week: - Students work in teams of 4-6 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 and the course supervisor. The groups deliver the written report on a predefined date. The students receive the feedback and are asked to implement some changes in their reports. A final presentation takes place summarizing the main findings of the project.
529-0549-01L	Case Studies in Process Design I	3 credits	3A	G. Guillén Gosálbez, J. Dolenc, U. Fischer
Abstract	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.
Learning objective	- to obtain knowledge about different databases and sources of information - application of the knowledge obtained in lectures to a real problem - problem-oriented problem solving (application of different methods to the same subject) - team work - report writing and presentation techniques
Content	The focus of part I of the case study course lies on the literature-based comparison of chemical process alternatives. For this purpose, relevant substance data (i.e. physico-chemical, toxicological, safety, and environmental data), as well as information about synthesis routes and technical implementations (i.e. on reaction kinetics; possible separation operations; economic, safety, and environmental aspects), are collected from the literature. Based on this compilation and selected quantitative as well as qualitative measures, a process assessment and comparison is conducted and the most promising process alternative is chosen for further evaluation. For this alternative, a basic flowsheet and mass and energy balances are generated.
529-0613-01L	Process Simulation and Flowsheeting	6 credits	3G	G. Guillén Gosálbez
Abstract	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.
Learning objective	This course aims to develop the competency of chemical engineers in process flowsheeting, process simulation and process optimization. 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 should 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 to develop criteria to correctly use commercial software packages and critically evaluate their results. - Process optimization: the students will learn how to formulate optimization problems in mathematical terms, the main type of optimization problems that exist (i.e., LP, NLP, MILP and MINLP) and the fundamentals of the optimization algorithms implemented in commercial solvers.
Content	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, LP - Non-linear programming, NLP - Mixed-integer linear programming, MILP - Mixed-integer nonlinear programming, MINLP Commercial software for simulation (Aspen Plus): - Thermodynamic property methods - Reaction and reactors - Separation / columns - Convergence, optimisation & debugging
Literature	An exemplary literature list is provided below: - Biegler, L.T., Grossmann, I.E., Westerberg, A.W. Systematic methods of chemical process design, Prentice Hall International PTR (1997). - Douglas, J.M. Conceptual design of chemical processes, McGraw-Hill (1988). - Edgar, T. F., Himmelblau, D. M. Optimization of chemical process, Mcgraw Hill Chemical Engineering Series (2001). - Haydary, J. Chemical Process Design and Simulation, Wiley (2019). - Seider, W.D., Seader, J.D., Lwin, D.R., Widagdo, S. Product and process design principles: synthesis, analysis, and evaluation, John Wiley & Sons, Inc. (2010). - Sinnot, R.K., Towler, G. Chemical Engineering Design, Butterworth-Heinemann (2009). - Smith, R. Chemical process design and integration, Wiley (2005). - Turton, R., A. Shaeiwitz, Bhattacharyya, D., Whiting, W. Synthesis and Design of Chemical Processes, Prentice Hall (2013).
Prerequisites / Notice	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.
529-0643-01L	Process Design and Development	6 credits	3G	G. Guillén Gosálbez
Abstract	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.
Learning objective	The course is focused on the design of Chemical Processes, with emphasis on the preliminary stage 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.
Content	Process creation: heuristics vs. mathematical programming. Heuristics for reaction and separation operations, heat transfer and pressure change. Introduction to optimization in process engineering and the modeling software GAMS. Process economic evaluation: equipment sizing and costing, time value of money, cash flow calculations. Process environmental evaluation: Life Cycle Assessment (LCA). Process integration: sequencing of distillation columns using mixed-integer linear programming (MILP), and synthesis of heat exchanger networks using mixed-integer nonlinear programming (MINLP). Batch processes: scheduling, sizing, and inventories. Principles of molecular design using mixed-integer programming.
Lecture notes	no script
Literature	Main books 1. Biegler, L.T., Grossmann, I.E., Westerberg, A.W. Systematic methods of chemical process design, Prentice Hall International PTR (1997). 2. Douglas, J.M. Conceptual design of chemical processes, McGraw-Hill (1988). 3. Seider, W.D., Seader, J.D., Lwin, D.R., Widagdo, S. Product and process design principles: synthesis, analysis, and evaluation, John Wiley & Sons, Inc. (2010). 4. Sinnot, R.K., Towler, G. Chemical Engineering Design, Butterworth-Heinemann (2009). 5. Smith, R. Chemical process design and integration, Wiley (2005). Other references 6. Edgar, T. F., Himmelblau, D. M. Optimization of chemical process, Mcgraw Hill Chemical Engineering Series (2001). 7. Haydary, J. Chemical Process Design and Simulation, Wiley (2019). 8. Turton, R., Shaeiwitz, A., Bhattacharyya, D., Whiting, W. Synthesis and Design of Chemical Processes, Prentice Hall (2013). 9. Klöpffer, W., Grahl, B. Life Cycle Assessment (LCA): A Guide to Best Practice, Wiley (2014).
Prerequisites / Notice	Prerequisite: Basic knowledge on unit operations, mainly reaction engineering and distillation. It is recommended that the student takes the module "Process Simulation and Flowsheeting" before "Process Design and Development", but it is not mandatory.