autumn 2022
INF-3010 Energy Informatics - Smart Energy and Power Systems Modelling - 10 ECTS
Admission requirements
Higher Education Entrance Requirement + Bachelor's degree in Computer Science or similar education. The Bachelor degree must contain a specialization in Computer Science worth the equivalent of not less than 80 ECTS credits.
Application code: 9371 - Singular courses at master's level.
Recommended prerequisites: Basic knowledge in physics, linear algebra or discrete mathematics; and basic programming skills in Python.
Course content
This course covers the Energy Informatics discipline through the use of mathematical optimization as a background. The course will discuss how mathematical optimization, in the context of computer science, can contribute to more effectively manage smart energy and power systems. The content of this course can be summarized as follows. An introduction to energy systems and power systems will be provided, together with a broad overview of topics where the most relevant energy and power systems challenges and opportunities can be identified. Afterwards, the fundamental concepts of mathematical optimization will be presented, with focus on applications for energy and power systems related problems. Finally, broader perspectives of smart energy and power systems modelling in the context of Energy Informatics will be addressed. This will lead to discussions on relevant links that exist at the intersection of energy systems, power systems, economics, computer engineering, social science, computer science, applied mathematics.Objectives of the course
Knowledge - the student can ...
- Understand the role of Smart Energy and Power systems modelling and optimization within the Energy Informatics domain.
- Understand the theory of operations research, mathematical modelling and optimization, as well as the specific applications to the energy and power systems.
- Understand the principles underlying the energy optimization tools.
Skills - the student can ...
- Develop mathematical optimization models and manipulate dataset to analyse relevant applied problems within energy and power systems, both on the investment side and on the operational side.
- Utilize an interdisciplinary approach to perform techno-economic analyses of sustainable energy systems. Adopt a practical approach for model building through concrete energy problems that have been addressed in literature in different energy sectors.
General competences - the student can ...
- Understand the overall concept of Energy Informatics and the interconnections between the fundamental subjects and the real-world energy problems.
- Understand the challenges and opportunities of interdisciplinary approaches to address Energy and power systems problems both at a research level and at an industrial level.
- Read advanced scientific literature in the field of smart energy and power systems modelling, and extract relevant information from it.
Information to incoming exchange students
This course is available for inbound exchange students.This course is open for inbound exchange student who meets the admission requirements, including prerequisites. Please see the Admission requirements" and the "Prerequisite" sections for more information.
Do you have questions about this module? Please check the following website to contact the course coordinator for exchange students at the faculty: https://en.uit.no/education/art?p_document_id=510412.
Recommended reading/syllabus
Pensumliste for INF-3010 Energy Informatics - Smart Energy and Power Systems ModellingExamination
| Examination: | Date: | Duration: | Grade scale: |
|---|---|---|---|
| School exam | 12.12.2022 09:00 |
4 Hours | A–E, fail F |
Coursework requirements:To take an examination, the student must have passed the following coursework requirements: |
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| Practical and/or theoretical assignments | Approved – not approved | ||
- About the course
- Campus: Tromsø |
- ECTS: 10
- Course code: INF-3010
- Responsible unit
- Department of Computer Science
- Contact persons
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- Earlier years and semesters for this topic