Høst 2022

INF-8010 Energy Informatics - Smart Energy and Power Systems Modelling - 10 stp

The course is administrated by

Institutt for informatikk

Type of course

This course is available for registered PhD students in computer science or equivalent at a university.

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 systems 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

Registration deadline for PhD students at UiT - The Arctic University of Norway: September 1st. Application deadline for other applicants: June 1st.

Admission requirements

We accept applicants from all countries. There are two ways to qualify for singular courses at the PhD level. The first is by documenting that you are currently an active PhD student at an accredited institution of higher learning somewhere in the world by submitting a written confirmation from your institution. The second way is to document knowledge in English that equates to the English requirement in The Norwegian Higher Education Entrance Qualification and either a 3 year (180 ECTS) Bachelor’s degree + a 2 year (120 ECTS) Master’s degree or an integrated 5 year (300 ECTS) Master’s degree. Degrees must be documented by submitting both the diploma, diploma supplement (if one was issued) and transcript of records.

Application code 9301 - Singular courses at PhD level.

More information can be found here: https://uit.no/utdanning/opptaksinfo#innhold_711494

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. Acquire knowledge needed to perform research within the smart energy and power systems modelling field.

Skills - the student can ...

Develop mathematical optimization models and manipulate dataset in order to analyse advanced relevant research questions 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.
Refine skills to perform research within the smart energy and power systems modelling field.

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.
Develop critical thinking on Energy Informatics research directions and on industrial innovation driven by Energy Informatics.
Develop research and independent learning within the Energy Informatics domain 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

Off campus exam hand in date 15.12.2022

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