Energy Systems Analysis - Study line
Energy System Analysis
In the study track Energy Systems Analysis, the students achieve a good understanding of the energy system and the interaction between different energy technologies and different energy sectors such as heat, power and transport. Further, the students will gain a broad understanding of the role of the energy system in society and in particular the role of renewable energy in the energy system as well as from a socio-economic point of view.
The graduates will be able to analyze complex energy systems using advanced modeling and statistics methods. Competences from the programme will enable graduates to plan and manage large projects in the energy sector as well as to design solutions for optimized energy systems. A thorough understanding of energy markets, risks and regulations provides the basis for advising energy companies and authorities on strategies in energy and environmental markets as well as on projecting future demands and opportunities for renewable energy technologies.
Polytechnic foundation courses (5 ECTS):
The following course is mandatory:
42500 | Innovation in Engineering (Polytechnical Foundation) | 5 | point | January |
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42504 | Innovation in Engineering (Polytechnical Foundation) | 5 | point | August |
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42501 | Innovation in Engineering (Polytechnical Foundation) | 5 | point | June |
Students with advanced innovation competences may take one of the following courses as an alternative to 42500/42501/42504:
42502 | Facilitating Innovation in Multidisciplinary Teams | 5 | point | January |
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42505 | Facilitating Innovation in Multidisciplinary Teams | 5 | point | August |
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42503 | Facilitating Innovation in Multidisciplinary Teams | 5 | point | June |
Programme specific courses (55 ECTS)
Innovation course II - mandatory (5 ECTS):
41636 | Design for Circular Economy | 5 | point | January |
Core competence courses - mandatory for the study line (10 ECTS)
46740 | Distributed energy technologies, modelling and control | 5 | point | Spring F1B (Thurs 13-17) |
46770 | Integrated energy grids | 5 | point | Spring F5A (Wed 8-12) |
Core competence courses - mandatory for the study track (10 ECTS)
42015 | Energy Economics | 5 | point | Autumn E3B (Fri 13-17) |
42112 | Mathematical Programming Modelling | 5 | point | January |
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42101 | Introduction to Operations Research | 5 | point | Autumn E2A (Mon 13-17), Spring F2A (Mon 13-17) |
Core competence courses - choose 10 ECTS among the following courses:
34552 | Photovoltaic systems | 5 | point | Spring F2B (Thurs 8-12) |
41468 | Sustainable District Heating | 5 | point | Spring F1A (Mon 8-12) |
46300 | Wind Turbine Technology and Aerodynamics | 10 | point | Autumn E1 (Mon 8-12, Thurs 13-17) |
47301 | Hydrogen energy and fuel cells | 5 | point | Spring F1B (Thurs 13-17) |
47330 | Energy storage and conversion | 5 | point | Autumn E1A (Mon 8-12) |
Core competence courses - choose 10 ECTS among the following courses:
02435 | Decision-Making Under Uncertainty | 5 | point | Spring F4A (Tues 13-17) |
42001 | Large scale energy system analysis applying Balmorel | 5 | point | June |
46205 | Feasibility studies of energy projects | 5 | point | Autumn E3A (Tues 8-12) |
Choose 10 ECTS among the rest of the programme specific courses:
42014 | Environmental and Resource Economics | 5 | point | F7 (Tues 18-22) |
42016 | Business Economics and Finance | 5 | point | Spring F3B (Fri 13-17) |
42879 | Decision Support and Strategic Assessment | 5 | point | Autumn E2B (Thurs 8-12) |
46745 | Integration of wind power in the power system | 5 | point | Autumn E3B (Fri 13-17) |
46755 | Renewables in electricity markets | 5 | point | Spring F2A (Mon 13-17) |
Elective courses (30 ECTS)
Suggestions for elective courses (30 ECTS)
02431 | Risk Management | 5 | point | January |
02450 | Introduction to Machine Learning and Data Mining | 5 | point | Spring F4A (Tues 13-17), Autumn E4A (Tues 13-17) |
12772 | Life Cycle Assessment of Products and Systems | 10 | point | Autumn E1 (Mon 8-12, Thurs 13-17) |
41416 | Energy systems - analysis, design and optimization | 10 | point | Spring F5 (Wed 8-17) |
42114 | Integer Programming | 5 | point | Autumn E4A (Tues 13-17) |
42136 | Large Scale Optimization using Decomposition | 5 | point | Spring F2B (Thurs 8-12) |
46200 | Planning and Development of Wind Farms | 5 | point | January |
46230 | Power system balancing with large scale wind power | 5 | point | Spring F4B (Fri 8-12) |
46700 | Introduction to Electric Power Systems | 10 | point | Autumn E4 (Tues 13-17, Fri 8-12) |
46705 | Power grid analysis | 5 | point | Spring F3A (Tues 8-12) |
46750 | Optimization in modern power systems | 5 | point | Autumn E3A (Tues 8-12) |
46765 | Machine learning for energy systems | 5 | point | Autumn E5B (Wed 13-17) |
Master's thesis (30 ECTS):
MSc. thesis within the area of the specialization shall be conducted. The project can be completed in collaboration with a relevant company.
Study track responsible
Marcella Veronesi Professor Phone: +45 46775110 mver@dtu.dk