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Renewable Electrical Energy Production (5 cr)

Code: TX00FA07-3001

General information


Enrollment
01.05.2024 - 31.05.2024
Registration for the implementation has ended.
Timing
19.08.2024 - 11.10.2024
Implementation has ended.
Number of ECTS credits allocated
5 cr
Local portion
5 cr
Mode of delivery
On-campus
Unit
(2019-2024) School of Smart and Clean Solutions
Campus
Leiritie 1
Teaching languages
Finnish
Seats
20 - 50
Degree programmes
Electrical and Automation Engineering
Teachers
Tomi Mäentausta
Jukka Karppinen
Teacher in charge
Raisa Kallio
Course
TX00FA07

Implementation has 10 reservations. Total duration of reservations is 33 h 30 min.

Time Topic Location
Wed 21.08.2024 time 17:00 - 20:15
(3 h 15 min)
Uusiutuvat sähköenergian tuotantomuodot TX00FA07-3001
Online
Tue 27.08.2024 time 17:00 - 20:15
(3 h 15 min)
Uusiutuvat sähköenergian tuotantomuodot TX00FA07-3001
MMC314 IT-Tila
Tue 03.09.2024 time 17:00 - 20:15
(3 h 15 min)
Uusiutuvat sähköenergian tuotantomuodot TX00FA07-3001
Online
Tue 10.09.2024 time 17:00 - 20:15
(3 h 15 min)
Uusiutuvat sähköenergian tuotantomuodot TX00FA07-3001
Online
Tue 17.09.2024 time 17:00 - 20:15
(3 h 15 min)
Uusiutuvat sähköenergian tuotantomuodot TX00FA07-3001
Online
Tue 24.09.2024 time 17:00 - 20:15
(3 h 15 min)
Uusiutuvat sähköenergian tuotantomuodot TX00FA07-3001
Online
Tue 01.10.2024 time 17:00 - 20:15
(3 h 15 min)
Uusiutuvat sähköenergian tuotantomuodot TX00FA07-3001
Online
Thu 03.10.2024 time 17:00 - 20:45
(3 h 45 min)
Uusiutuvat sähköenergian tuotantomuodot TX00FA07-3001
Online
Wed 09.10.2024 time 17:00 - 20:15
(3 h 15 min)
Uusiutuvat sähköenergian tuotantomuodot TX00FA07-3001
Online
Thu 10.10.2024 time 17:00 - 20:45
(3 h 45 min)
Uusiutuvat sähköenergian tuotantomuodot TX00FA07-3001
Online
Changes to reservations may be possible.

Objective

The student is aware of the importance and potential of renewable energy in reducing CO2 emissions.

The student knows the equipment, operating principles and features related to wind energy production.

The student masters the operating principles and properties of solar panels and is able to dimension different size solar energy systems.

The student is familiar with other significant forms of renewable energy and understands the impact of renewable energy production on the electricity market and the electricity grid.

Content

1. Wind power: structures, technology and operating principles. Different types of wind turbines and basics of designing wind power projects.
2. Operating principle and characteristics of solar power. Different types of solar panels and construction of photovoltaic power plants.
3. Other forms of renewable energy production.
4. Distributed power generation as part of Smart Grid networks including energy storage solutions.

Location and time

4 hrs per week according to calendar in Oma.

Materials

ST-käsikirja 40: Aurinkosähköjärjestelmien suunnittelu ja toteutus (Sähköinfo)

Teaching methods

Interactive online lessons around four hours per week. Additionally self study material and tasks.

Completion alternatives

None.

Student workload

135 hrs in total, of which 24 hrs on-site/on-line lessons and 114 hrs self-study with lesson refresh, self study material, homework and study for exams.

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 field.

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

Max 50 pts
Grade 5: 44 pts
Grade 4: 37 pts
Grade 3: 30 pts
Grade 2: 24 pts
Grade 1 (pass): 17 pts

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