Electricity Market and Smart grid (10 cr)
Code: TX00FA08-3002
General information
- Enrollment
-
02.12.2024 - 31.12.2024
Registration for the implementation has ended.
- Timing
-
13.01.2025 - 16.03.2025
Implementation has ended.
- Number of ECTS credits allocated
- 10 cr
- Local portion
- 10 cr
- Mode of delivery
- On-campus
- Unit
- (2019-2024) School of Smart and Clean Solutions
- Campus
- Leiritie 1
- Teaching languages
- Finnish
- Degree programmes
- Electrical and Automation Engineering
- Teachers
- Raisa Kallio
- Tomi Mäentausta
- Antti Raininko
- tetu virtuaali::automaatiotekniikka
- Petteri Pakalen
- Teacher in charge
- Raisa Kallio
- Groups
-
SV22SSähkövoimatekniikan pääaine, syksyllä 2022 aloittaneet
-
SV23KSähkövoimatekniikan pääaine, keväällä 2023 aloittaneet
- Course
- TX00FA08
Implementation has 16 reservations. Total duration of reservations is 47 h 30 min.
Time | Topic | Location |
---|---|---|
Mon 13.01.2025 time 16:00 - 18:00 (2 h 0 min) |
Sähkömarkkinat ja älykkäät sähköverkot TX00FA08-3002 |
MMB301
Auditorio 3 krs.
|
Thu 16.01.2025 time 16:00 - 18:00 (2 h 0 min) |
Sähkömarkkinat ja älykkäät sähköverkot TX00FA08-3002 |
MMB301
Auditorio 3 krs.
|
Mon 20.01.2025 time 16:00 - 18:00 (2 h 0 min) |
Sähkömarkkinat ja älykkäät sähköverkot TX00FA08-3002 |
MMB301
Auditorio 3 krs.
|
Thu 23.01.2025 time 16:00 - 18:00 (2 h 0 min) |
Sähkömarkkinat ja älykkäät sähköverkot TX00FA08-3002 |
MMB301
Auditorio 3 krs.
|
Mon 27.01.2025 time 16:00 - 18:00 (2 h 0 min) |
Sähkömarkkinat ja älykkäät sähköverkot TX00FA08-3002 |
Online
|
Thu 30.01.2025 time 16:00 - 18:00 (2 h 0 min) |
Sähkömarkkinat ja älykkäät sähköverkot TX00FA08-3002 |
Online
|
Mon 03.02.2025 time 16:00 - 18:00 (2 h 0 min) |
Sähkömarkkinat ja älykkäät sähköverkot TX00FA08-3002 |
Online
|
Thu 06.02.2025 time 16:00 - 18:00 (2 h 0 min) |
Sähkömarkkinat ja älykkäät sähköverkot TX00FA08-3002 |
Online
|
Mon 10.02.2025 time 15:00 - 19:00 (4 h 0 min) |
Sähkömarkkinat ja älykkäät sähköverkot TX00FA08-3002 |
MMA101
A-auditorio
|
Mon 24.02.2025 time 17:00 - 20:45 (3 h 45 min) |
Sähkömarkkinat ja älykkäät sähköverkot TX00FA08-3002 |
Online
|
Thu 27.02.2025 time 17:00 - 20:45 (3 h 45 min) |
Sähkömarkkinat ja älykkäät sähköverkot TX00FA08-3002 |
Online
|
Mon 03.03.2025 time 16:00 - 20:00 (4 h 0 min) |
Sähkömarkkinat ja älykkäät sähköverkot TX00FA08-3002 |
Online
|
Thu 06.03.2025 time 16:00 - 20:00 (4 h 0 min) |
Sähkömarkkinat ja älykkäät sähköverkot TX00FA08-3002 |
Online
|
Mon 10.03.2025 time 16:00 - 20:00 (4 h 0 min) |
Sähkömarkkinat ja älykkäät sähköverkot TX00FA08-3002 |
Online
|
Wed 12.03.2025 time 16:00 - 20:00 (4 h 0 min) |
Sähkömarkkinat ja älykkäät sähköverkot TX00FA08-3002 |
Online
|
Thu 13.03.2025 time 16:00 - 20:00 (4 h 0 min) |
Sähkömarkkinat ja älykkäät sähköverkot TX00FA08-3002 |
Online
|
Objective
- The student is familiar with the operating principles of the Nordic electricity market.
- The student understands the operation logic of the physical electricity market and the financial
market.
- The student has a basic knowledge of smart grids concept and the current applications.
- The student knows the applications and choices of the decentralized power generation and
knows in outline their effects on the electrical system.
- The student knows the requirements for power distribution arising from electric vehicles.
Content
1. The Nordic electricity market policies
2. The physical market
3. The financial market and hedge
4. The European electricity market integration
5. Electricity storage and elasticity of demand
6. Smart Grids
7. Distributed power generation
8. Electric vehicle infrastructure
Location and time
luennot sekä etänä että kampuksella. Seuraa lukujärjestystä ja tiedotteita.
Materials
luennoilla ja työtilassa jaettava materiaali
Teaching methods
luennot ja harjoitustehtävä
Exam schedules
opintojakso arvioidaan viikkotehtävillä ja pikkukokeilla. Ajankohdat kerrotaan luennoilla ja työtilassa.
Completion alternatives
-
Evaluation scale
0-5
Assessment criteria, satisfactory (1)
The student has achieved the course objectives fairly. The student will be able to identify, define and use the course subject area’s concepts and models. The student understands the criteria and principles of the expertise development. The student has completed the required learning exercises in minimum requirement level. His/her competences have developed in a way that he/she may complete the remaining studies in electrical engineering and automation technology and finally work in a suitable job position related to this
Assessment criteria, good (3)
The student has achieved the course objectives well, even though the knowledge and skills need improvement on some areas. The student has completed the required learning exercises in good or satisfactory level. The student is able to define the course concepts and models and is able to justify the analysis. The student is able to apply their knowledge in study and work situations. The student understands the importance of expertise in the field of electrical engineering and automation technology and is able to analyze his/her own expertise.
Assessment criteria, excellent (5)
The student has achieved the objectives of the course with excellent marks. The student master commendably the course subject area’s concepts and models. The student has completed the required learning exercises in good or excellent level. The student is able to make justified and fluent analysis and to present concrete development measures. The student is well prepared to apply their knowledge study and work situations. Students are able to analyze the expertise in electrical engineering and automation technology and the evolvement of their own expertise.
Assessment methods and criteria
opintojakson arviointi perustuu viikkotehtäviin ja pikkukokeisiin. Jokainen opettaja kertoo oman arvioinnin tarkemmin osuudellaan.