302.718 Smart Industrial Concept
This course is in all assigned curricula part of the STEOP.
This course is in at least 1 assigned curriculum part of the STEOP.

2023S, VO, 2.0h, 2.0EC, to be held in blocked form
TUWEL

Properties

  • Semester hours: 2.0
  • Credits: 2.0
  • Type: VO Lecture
  • Format: Presence

Learning outcomes

After successful completion of the course, students are able to...

  • reflect the challenge for science and industry arising from the energy transition.
  • verbalize innovations in the fields of modeling, optimization, control & regulation, energy efficiency, power systems, distribution grids, information and data management.

Subject of course

The energy-optimized operation of industrial plants, their energy conversion, distribution and storage as well as their interaction with the general conditions of the energy industry are posing challenges for research and industry. Solutions in this pioneering field of research require interdisciplinary knowledge and innovative methods. For this reason, the Vienna University of Technology has launched the cooperative doctoral program "Smart Industrial Concept" (SIC!), in which this course is integrated. The aim of this lecture is to give an overview of this interdisciplinary topic from the perspective of different disciplines and industrial companies.

Teaching methods

The following aspects of energy optimization are discussed by different professors from several departments and experts from industrial companies: • Smart Grids - Future Energy System • Holistic approaches to modeling, simulation and optimization of industrial plants and processes • Optimal control and hierarchical coupled control • Modeling and simulation of thermal processes and plants • Efficient energy use and energy management • Regulatory aspects of energy systems • Sector coupling (electricity, heat and gas networks) • Optimization of industrial plants • Information and data management in the industrial environment Requirements and challenges in industry: FunderMax, Evon, EVN, A1

Mode of examination

Written

Lecturers

Institute

Course dates

DayTimeDateLocationDescription
Fri12:00 - 18:0012.05.2023Seminarraum BA 10B - MB Lecture Course Smart Industrial Concept
Wed09:00 - 16:0017.05.2023Seminarraum BA 10B - MB Lecture Course Smart Industrial Concept
Mon09:00 - 13:0022.05.2023Seminarraum BA 10B - MB Lecture Course Smart Industrial Concept
Tue12:00 - 18:0023.05.2023Seminarraum BA 10B - MB Lecture Course Smart Industrial Concept
Wed09:00 - 13:0024.05.2023 - 31.05.2023Seminarraum BA 10B - MB Lecture Course Smart Industrial Concept
Thu09:00 - 16:0025.05.2023 - 01.06.2023Seminarraum BA 10B - MB Lecture Course Smart Industrial Concept
Fri12:00 - 18:0026.05.2023 - 02.06.2023Seminarraum BA 10B - MB Lecture Course Smart Industrial Concept
Smart Industrial Concept - Single appointments
DayDateTimeLocationDescription
Fri12.05.202312:00 - 18:00Seminarraum BA 10B - MB Lecture Course Smart Industrial Concept
Wed17.05.202309:00 - 16:00Seminarraum BA 10B - MB Lecture Course Smart Industrial Concept
Mon22.05.202309:00 - 13:00Seminarraum BA 10B - MB Lecture Course Smart Industrial Concept
Tue23.05.202312:00 - 18:00Seminarraum BA 10B - MB Lecture Course Smart Industrial Concept
Wed24.05.202309:00 - 13:00Seminarraum BA 10B - MB Lecture Course Smart Industrial Concept
Thu25.05.202309:00 - 16:00Seminarraum BA 10B - MB Lecture Course Smart Industrial Concept
Fri26.05.202312:00 - 18:00Seminarraum BA 10B - MB Lecture Course Smart Industrial Concept
Wed31.05.202309:00 - 13:00Seminarraum BA 10B - MB Lecture Course Smart Industrial Concept
Thu01.06.202309:00 - 16:00Seminarraum BA 10B - MB Lecture Course Smart Industrial Concept
Fri02.06.202312:00 - 18:00Seminarraum BA 10B - MB Lecture Course Smart Industrial Concept
Course is held blocked

Examination modalities

Elaboration of a reflection

Course registration

Begin End Deregistration end
21.03.2023 00:00

Curricula

Study CodeObligationSemesterPrecon.Info
066 473 Chemical and Process Engineering for Sustainable Production Not specified
ALG For all Students Not specified

Literature

No lecture notes are available.

Previous knowledge

No prior knowledge is required, but it facilitates the understanding of the presented content. This lecture primarily addresses master and doctoral students, who already have previous knowledge and would like to gain detailed insights into the different presented fields. .

Miscellaneous

Language

German