Ab 2. November 2020 findet das Herbstsemester 2020 online statt. Ausnahmen: Veranstaltungen, die nur mit Präsenz vor Ort durchführbar sind.
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Giovanni Sansavini: Katalogdaten im Herbstsemester 2016

NameHerr Prof. Dr. Giovanni Sansavini
LehrgebietZuverlässigkeits- und Risikoanalyse
Adresse
Reliability and Risk Engineering
ETH Zürich, LEE M 201
Leonhardstrasse 21
8092 Zürich
SWITZERLAND
Telefon+41 44 632 50 38
E-Mailsansavig@ethz.ch
URLhttp://www.rre.ethz.ch/
DepartementMaschinenbau und Verfahrenstechnik
BeziehungAusserordentlicher Professor

NummerTitelECTSUmfangDozierende
151-0235-00LThermodynamics of Novel Energy Conversion Technologies4 KP3GC. S. Sharma, D. Poulikakos, G. Sansavini
KurzbeschreibungIn the framework of this course we will look at a current electronic thermal and energy management strategies and novel energy conversion processes. The course will focus on component level fundamentals of these process and system level analysis of interactions among various energy conversion components.
LernzielThis course deals with liquid cooling based thermal management of electronics, reuse of waste heat and novel energy conversion and storage systems such as batteries, fuel cells and micro-fuel cells. The focus of the course is on the physics and basic understanding of those systems as well as their real-world applications. The course will also look at analysis of system level interactions between a range of energy conversion components.
InhaltPart 1: Fundamentals:
- Overview of exergy analysis, Single phase liquid cooling and micro-mixing;
- Thermodynamics of multi-component-systems (mixtures) and phase equilibrium;
- Electrochemistry;

Part 2: Applications:
- Basic principles of battery;
- Introduction to fuel cells;
- Reuse of waste heat from supercomputers
- Hotspot targeted cooling of microprocessors
- Microfluidic fuel cells

Part3: System- level analysis
- Integration of the components into the system: a case study
- Analysis of the coupled operations, identification of critical states
- Support to system-oriented design
SkriptLecture slides will be made available. Lecture notes will be available for some topics (in English).
Voraussetzungen / BesonderesThe course will be given in English:

1- Mid-term examination: Mid-term exam grade counts as 20% of the final grade.
2- Final exam: Written exam during the regular examination session. It counts as 80% of the final grade.
364-1058-00LRisk Center Seminar Series Belegung eingeschränkt - Details anzeigen
Maximale Teilnehmerzahl: 50
0 KP2SH. Gersbach, D. Basin, A. Bommier, L.‑E. Cederman, H. R. Heinimann, H. J. Herrmann, W. Mimra, G. Sansavini, F. Schweitzer, D. Sornette, B. Stojadinovic, B. Sudret, S. Wiemer
KurzbeschreibungThis course is a mixture between a seminar primarily for PhD and postdoc students and a colloquium involving invited speakers. It consists of presentations and subsequent discussions in the area of modeling complex socio-economic systems and crises. Students and other guests are welcome.
LernzielParticipants should learn to get an overview of the state of the art in the field, to present it in a well understandable way to an interdisciplinary scientific audience, to develop novel mathematical models for open problems, to analyze them with computers, and to defend their results in response to critical questions. In essence, participants should improve their scientific skills and learn to work scientifically on an internationally competitive level.
InhaltThis course is a mixture between a seminar primarily for PhD and postdoc students and a colloquium involving invited speakers. It consists of presentations and subsequent discussions in the area of modeling complex socio-economic systems and crises. For details of the program see the webpage of the colloquium. Students and other guests are welcome.
SkriptThere is no script, but a short protocol of the sessions will be sent to all participants who have participated in a particular session. Transparencies of the presentations may be put on the course webpage.
LiteraturLiterature will be provided by the speakers in their respective presentations.
Voraussetzungen / BesonderesParticipants should have relatively good mathematical skills and some experience of how scientific work is performed.