Høst 2022

INF-3010 Energy Informatics - Smart Energy and Power Systems Modelling - 10 stp

The course is administrated by

Institutt for informatikk

Type of course

The course can be taken as a singular master's-level course.

Course contents

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.

Application deadline

Applicants from countries within EU/EEA: June 1st for the autumn semester and December 1st for the spring semester. Exchange students and Fulbright students: 1 October for the spring semester and 15 April for the autumn semester.

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.

Objective 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.

Language of instruction

The language of instruction is English and all the syllabus material is in English. Examination questions will be given in English.

Teaching methods

30 hours lectures, 30 hours colloquium and 30 hours guidance. Formal lectures. Guest lectures may be included.

Date for examination

School exam 12.12.2022

The date for the exam can be changed. The final date will be announced at your faculty early in May and early in November.