488502S Smart grids 2: Smart buildings/smart customers, 5 ECTS

488502S Smart grids 2: Smart buildings and smart customers in the smart grid
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 3 (8.1.-2.3. 2018)

Learning outcomes: The student is able to explain the concept of smart buildings , and is able to demonstrate the optimization of smart building functions for energy efficiency, decarbonization and cost savings. Further, the student is familiar with the concepts and the technologies of smart automation as well as other technologies used in smart buildings such as smart appliances, smart metering and energy storage. The student will also understand the new role of customers in the smart grid environment, their changing roles as well as current and future models of energy services. The student will also understand the risks of smart buildings in terms of cyber security, data privacy and management. In addition, the student is able to outline the future perspectives of smart buildings and smart customers as part of the smart city framework and aiming toward eco-cities of the future.

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). After an introductory presentation on the course requirements, the basics are set in terms of defining smart buildings as part of smart grids. Further the complementary roles of smart buildings for energy efficiency, costs saving and decarbonization is explained. The key technologies of smart buildings will be explained and demonstrated, including company presentations on existing commercial technologies and service models. In addition, the new role of consumers as prosumers and service users will be explained and demonstrated. There will be no exam, however, the students are to answer to problem questions related to the lectures and complete the exercises. There will be 4 exercises, concentrating on the 4 key themes of the course: smart buildings functions, smart buildings technologies, smart consumers, and energy services. Part of the exercises will be done as individual work that will be reported and some will be performed as group work. There will also be in-class guided exercises.

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.

Learning activities and teaching methods: Lectures 28 h, student presentations 4 h, guided exercise work 8 h, individual work 86 h, group work 24 h.

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 course is preferred.

Study materials: Will be provided during the course by the lecturers.

Recommended reading: Chen-Ching Liu (ed.): Smart grid handbook

Grading: The course evaluation will be based on an on-line learning portfolio, exercise performance and exercise report. The course unit utilizes a numerical grading scale 1-5. In the numerical scale, zero stands for a fail.

Persons responsible: Prof. Eva Pongrácz (EEE) and Prof. Maria Kopsakangas-Savolainen (OBS).

Other lecturers: EEE: Dr. Jean-Nicolas Louis, Dr. Antonio Caló; OBS: MSc. Enni Ruokamo, MSc. Santtu Karhinen; MSC Ana-Maija Juuso; ITEE: Prof. Juha Röning, Dr. Jussi Haapola, MSc. Florian Kühlenz, MSc. Mauricio Tomé

Other information: The number of students is limited. This course is a 5 credit course for engineering students, but economics students gain overall 6 credits by doing a mandatory extra assignment which corresponds to 1 credit.

 

COURSE SCHEDULE

Week 2

Lecture 1 & Exercise 1 (8.1., 10.15-12, IT 135):

  • Eva Pongrácz: Course intro, Intro to smart houses and energy efficient buildings, presenting Exercise 1

Lecture 2 (11.1. 12.15-14, SÄ 118):

  • Jean-Nicolas Louis: Smart houses as part of smart grids

Exercise 2 (12.1., 12.15-14, TF 331):

  • Jean-Nicolas Louis: Smart house Matlab simulation model, intro to Exercise 2

Week 3

Lecture 3: (15.1., 10.15-12, IT 135)

  • Jean-Nicolas Louis: Advanced metering infrastructure: information, decision and physical layers

Lecture 4: (18.1., 12.15-14, SÄ 118)

  • Jean-Nicolas Louis: Home Area Network for energy management and control

Exercise 2 (19.1., 12.15-14, TF 331)

  • Jean-Nicolas Louis: Follow-up on the smart house Matlab simulation exercise

Week 4

Lecture 5 (22.1., 10.15-12, IT 135):

  • Santtu Karhinen: Smart grids and new market mechanisms

Lecture 6 (25.1., 12.15-14, SÄ 118):

  • Antonio Caló: Consumer-to-prosumer-to-service user evolution

Exercise 1 (26.1., 12.15-14, IT 133):

  • Discussing Exercise 1 results

Week 5

Lecture 7 & Exercise 3 (29.1., 10.15-12, IT 135):

  • Enni Ruokamo: Household preferences for flexibility and new types of contracts + Intro to exercise 3

Lecture 8 (1.2., 12.15-14, SÄ 118)

  • Eva Pongrácz: The smart cities framework: smart living, people and governance

Company presentation 1 (2.2., 12.15-14, IT 133):

  • Jan Segerstam, Empower Oy: Large-scale customers optimizing their energy usage

Week 6

Lecture 9 (5.2.,10.15-12, IT 135):

  • Florian Kühnlenz & Mauricio Tomé: Introduction to energy storage technologies

Company presentation 2 (8.2., 12.15-14, SÄ 118)

  • Markku Makkonen, Fourdeg: Smart heating

Lecture 10 and exercise 3 (9.2., 12.15-14, IT 133):

  • Antonio Caló: Game theory intro and exercise

Week 7

Lecture 11: (12.2., 10.15-12, IT 135):

  • Juha Teirilä: Solar panels in Germany: Profitability, storage and impact on electricity markets

Lecture 12: (15.2., 12.15-14, SÄ 118):

  • Juha Röning: Cyber security issues from an end-user perspective

Lecture 13: (16.2., 12.15-14, IT 133):

  • Jussi Haapola: Communication technologies for advanced metering infra

Week 8

Lecture 14: (19.2., 10.15-12, IT 135):

  • Anna-Maija Juuso: Economics of smart grid security

Lecture 15: (22.2., 12.15-14, SÄ 118):

  • Eva Pongrácz: Eco-cities of the future

Company presentation 3: (23.2., 12.15-14, IT 133)

  • Site visit to VTT's smart grid pilot (Host: Klaus Känsälä)

Week 9

Company presentation 4 (26.2., 10.15-12, IT 135)

  • Paul Måns, Helvar Oy Ab: Smart illumination

    1.3., 12.15-14, SÄ 118

    • Student presentations

    Company presentation 5 (2.3., 11.15-14, IT 133)

    • Smart Energy Services of Oulu Energy Concern
      • Ville Airovuo: Decarbonization and investment in bioenergy
      • Olli Tuomivaara: Solar power, the Energiatili service
      • Mikko Rasi: Energy saving and demand side management

     

    Course registration closed.

     

     

    Last updated: 7.2.2018