|Nominale Dauer||3 weeks (3 ECTS)|
|Studiengebühren||660 € pro Programm
The program price consists of the course/tuition fee (student or working professional, see details below) plus the registration fee (€60).
Student course/tuition fee: €660
This course/tuition fee covers the online course, course materials and a digital cultural program.
|Anmeldegebühr||60 € einmalig
The registration fee is in addition to the course/tuition fee and covers the processing of your application. It is payable upon registration. Please note that the registration fee is non-refundable.
At least one year of university experience or equivalent work experience
Die Zulassungsunterlagen werden in folgenden Sprachen akzeptiert: Englisch / Deutsch.
Please upload one of the following documents:
Upload copies in a word or pdf format
All applicants are required to upload a document or certificate to demonstrate their proficiency in English language. If you are a non-native English speaker, you must prove you have a score equivalent to the level B2 or above in the European system (the Common European Framework of Reference for Languages, or CEFR), or provide evidence that you’ve undertaken an equivalent degree/studies in English.
More details: www.tu-berlin.de/menue/summer_university/requirements/
If you are a native English speaker, please select this during registration. You will then be exempt from having to upload proof of English level.
The course is best suited for students of industrial engineers, economics, computer scientists or sustainable management. But generally anyone with and interest in the topic can attend. Some experience in (mathematical) programming can be helpful, but is no strict prerequisite.
Besondere Anforderungen für Nicht-EU Bewerber:
Please upload a copy of your international health insurance
We will look at how climate change and the expansion of renewable energy generation affects electricity grids, the energy market, and prices. Industrial energy consumers can adapt to these developments, by scheduling their production based on those energy prices, thereby, not only saving cost, but also supporting the energy transition. A mathematical optimization model, supporting energy aware planning decisions, will be introduced.
Using the free optimization software Julia JuMP, we will see how the mathematical formulation can be translated into code and solved, generating energy aware schedules. We will have a look at some results and discuss how they affect the companies and the energy system. Possible model extensions to improve decision-making will be sketched.
In supervised group work, some of those model extensions will be implemented into the model, the results presented and discussed.
- Understand the effects of the energy transition on the energy system and markets
- Learn how industrial consumers can mitigate some negative effects and help planning to a more sustainable future
- See how mathematical programming helps with decision-making
- Get to know the basics of optimization with Julia JuMP
- Learn how to translate mathematical models into code, optimize them, and interpret results
- Be able to extend models, writing own code
- Understand how energy aware plans affect companies and energy systems
Reading week: August 15th – 19th, 2022. Flexible, 10 hours preparatory work to be done on-demand.
Online course: August 22nd – September 2nd, 2022. Estimated session times are Mondays through Fridays from 9 am to 2 pm CET for live lectures and group sessions.
Please note that exact session times will be confirmed once registrations have closed (sessions will be scheduled according to the time zones of the registered course participants).
Should you have any questions regarding the course timetable, please contact us at email@example.com
Please note this is a full-time, intensive course and participants will be expected to attend lectures and/or complete independent study Monday through Friday. Additional study may also be required on weekends.