Alon Lidor: Catalogue data in Spring Semester 2021

Name Dr. Alon Lidor
Renewable Energy Carriers
ETH Zürich, ML K 44.5
Sonneggstrasse 3
8092 Zürich
Telephone+41 44 632 83 54
DepartmentMechanical and Process Engineering

151-0224-00LFuel Synthesis Engineering4 credits3VB. Bulfin, A. Lidor
AbstractThis course will include a revision of chemical engineering fundamentals and the basics of processes modelling for fuel synthesis technologies. Using this as a background we will then study a range of fuel production technologies, including established fossil fuel processing and emerging renewable fuel production processes.
Objective1) Develop an understanding of the fundamentals of chemical process engineering, including chemical thermodynamics, molecular theory and kinetics.
2) Learn to perform basic process modelling using some computational methods in order to analyse fuel production processes.
3) Using the fundamentals as a background, we will study a number of different fuel production processes, both conventional and emerging technologies.
ContentTheory: Chemical equilibrium thermodynamics, reaction kinetics, and chemical reaction engineering.

Processes modelling: An introduction to using cantera to model chemical processes. This part of the course includes an optional project, where the student will perform a basic analysis of a natural gas to methanol conversion process.

Fuel synthesis topics: Conventional fuel production including oil refinery, upgrading of coal and natural gas, and biofuel. Emerging renewable fuel technologies including the conversion of renewable electricity to fuels via electrolysis, the conversion of heat to fuels via thermochemical cycles, and some other speculative fuel production processes.
Lecture notesWill be available electronically.
LiteratureA) Physical Chemistry, 3rd edition, A. Alberty and J. Silbey, 2001
B) Chemical Reaction Engineering, 3rd Edition, Octave Levenspiel, 1999
C) Fundamentals of industrial catalytic processes, C. H. Bartholomew, R. J. Farrauto, 2011;
Prerequisites / NoticeSome previous studies in chemistry and chemical engineering are recommended, but not absolutely necessary. Experience with either Python or Matlab is also recommended.