488503S Smart grids 3: Smart energy networks
Advanced course for MSc or PhD students in environmental engineering, economics or electrical engineering
5(-6) ECTS/150(175) hours of work
Language of instruction: English
Timing: Period 4 (13.3.-9.5. 2018)
Learning outcomes: The student is able to explain the concept of energy transition, and have a concept of the future of energy systems. The student can explain how different energy vectors will be integrated to achieve decarbonization. The student will also have an understading of the need for communication technologies and new market instruments. Finally, the student will be able to explain the environmental, economic and social performance of future smart and sustainable energy networks
Contents: Multidisciplinary course, offered in cooperation of the Faculty of Technology (Energy and Environmental Engineering Research Unit - EEE), Oulu Business School (OBS, Department of Economics) and the Faculty of Information Technology and Electrical Engineering (ITEE), Centre of Wirless Communication (CWC). The course will concentrate on systems level issues, such as integrating multiple energy vectors and network flow analysis. The expectation is that the energy supply structure for electricity, heat/refrigeration, gas and mobility will grow together and lead to a new structure. This will require that information and communication technology will be integrated more intensely into the energy supply system. Communication within the smart grid as well as new market instruments in smart energy systems will also be presented. In the course, we will also review the need for technologies faciliating the integration of multiple energy vectors, such as large scale storage and chemical storage. The strategic objective of smart energy networks is decarbonization by 2050. The goal of this course is to provide a vision on how to achieve this. There will be no exam, however, the students are to answer to problem questions related to the lectures and complete the exercise. The exercise will be done with a smart grid simulation software, to demonstrate the integration of different energy vectors and storage. The exercise will be done in groups.
Mode of delivery: Implemented as face-to-face teaching, visiting lectures and student presentations. The course largely relies on participatory learning, therefore, there are compulsory participation requirements. Students need to answer a minimum of 85% of the learning tasks. However, not answered learning tasks will be graded 0. The exercise and final presenation is compulsory.
Learning activities and teaching methods: Lectures 28 h, student presentations 2 h, guided exercise work 10 h, individual work 60 h, group work 50 h. For economics students an additional individual work of 25 hours.
Target group: Master’s students of environmental engineering, especially of energy and environmental engineering orientation; Master’s students in economics; Master’s students of Electrical Engineering and Information Technology. Doctoral students are also welcome to participate.
Prerequisities and co-requisites: Completing Smart grids 1 & 2 courses is preferred.
Study materials: Will be provided during the course by the lecturers.
Grading: The course evaluation will be based on the average grade of learning tasks (60%) and the grade of the exercise (40%). The course unit utilizes a numerical grading scale 1-5. In the numerical scale, zero stands for a fail.
Other information: This course is going to be kept the first time in spring 2018. The number of students is limited to 30. This course is a 5 credit course for engineering students, but economics students gain overall 6 credits by doing a mandatory extra assignment wch corresponds to 1 credit.
Tuesdays, Wednesdays and Thursdays 10.15-12. Lectures will be kept in TM 113, the simulation exercise is TF 329.
Lecture subjects and lecturers:
Lecture 1 (13.3., 10.15-12, TM 113)
- Eva Pongrácz: Introduction to the course, what are smart energy networks?
Lecture 2 (14.3., 10.15-12, TM 113)
- Eva Pongrácz: Energy transition, the future of the energy system
Exercise, session 1 (15.3., 10.15-12, TF 329)
- Antonio Caló: Introducing the exercise, HOMER Energy tutorial
Lecture 3 (20.3., 10.15-12, TM 113)
- Florian Kühnlenz: Storage, the big picture
Lecture 4 (21.3., 10.15-12, TM 113)
- Jussi Haapola: Internet of Things/ICT in smart grids
Exercise, session 2 (22.3., 10.15-12, TF 329)
- Antonio Caló: Exercise consulting
Lecture 5 (27.3., 10.15-12, TF 329)
- Exercise consulting
Lecture 6 (28.3., 10.15-12, TM 113)
- Antonio Caló: Optimizing across multiple energy vectors
Exercise, session 3 (29.3., 10.15-12, TF 329)
- Exercise stage 1 delviery
Lecture 7 (3.4., 10.15-12, T; 113)
- Ari Pouttu: Coordination in the Smart Grid
Lecture 8 (4.4. 10.15-12, TM 113)
- Enni Ruokamo: Emission taxing, carbon trading and carbon leakage
Exercise, session 4 (5.4., 10.15-12, TF 329)
- Exercise stage 2 delivery
Lecture 9 (10.4., 10.15-12, TM 113)
- Aleksandr Zavodovksi: Blockchains in smart energy systems
Lecture 10 (11.4., 10.15-12, TM 113)
- Maria Kopsakangas-Savolainen: Market mechanisms now and in the future
Exercise, session 5 (12.4., 10.15-12, TF 329)
- Exercise stage 3 delivery
Lecture 11 (17.4., 10.15-12, TM 113)
- Mauri Haataja: Electro-mobility/Integrating transport in the energy system
Lecture 12 (18.4., 10.15-12, TM 113)
- Mika Huuhtanen: Power-to-gas
Exercise, session 5 (19.4., 10.15-12, TF 329)
- Exercise final consulting
Lecture 13 (24.4., 10.15-12, TM 113)
- Jean-Nicolas Louis: Environmental impacts of 2050 scenarios
Lecture 14 (25.4., 10.15-12, TM 113)
- Eva Pongrácz: Sustainability considerations
Exercise, final presentations: (TF 329)
- 26.4., 10.15-12
- 2.5., 10.15-12
- 3.5., 10.15-12
- 9.5., 10.15-12
Registration is now full.
Last updated: 27.3.2018