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Energy Systems Modelling (2026/2027: Periode 3)
Cursusdoel
- explain the context in which energy systems models are used and for what purposes;
- explain the technological and economic principles and modelling methods underlying the state of the art energy system models;
- build simple energy systems models (linear programming models in excel, power system simulation model in Plexos, and system dynamics models in Python);
- evaluate the results of an energy systems model based on its modelling method and inputs;
- evaluate scientific articles and reports based on energy system model results considering the strengths and weaknesses of the models;
- understand the uncertainties related to energy system modelling processes;
- apply Monte Carlo simulation to assess uncertainties in energy systems modelling processes.
Vakinhoudelijk
- The uses of energy system models by, among others, energy and climate policy makers, energy companies, and grid operators.
- Distinction between different types of models ranging from macro-economic to technology oriented models, simulation to optimisation models, static to dynamic models.
- The way processes in the energy-economic system are modelled in different types of models. These concern short and long term dynamic processes related to energy supply, energy demand, energy conversion, population growth, economic growth, economic structural change, resource depletion, substitution, innovation, intermittent renewable electricity generation, energy storage, and technological learning.
- Uncertainty assessment in energy systems modelling processes.
- Techniques of System Dynamic models, Linear programming models, power system simulation models, Monte Carlo analysis, sensitivity analysis, and scenario analysis.
Werkvormen
Toelichting
The lectures cover the theoretical and conceptual foundations of each model type taught in this course, with a focus on the energy transition and climate change mitigation. They are delivered by academic experts, industrial practitioners, and decision-makers from relevant fields, helping students develop an understanding of energy systems modelling—and the science of modelling more broadly—from a multidisciplinary perspective. Students are strongly encouraged to attend all lecture sessions.
Voorbereiding
It is expected that students read the relevant and required literature prior to the lectures and assignments.
AssignmentsToelichting
The focus of instruction mode will be on computer assignments in which students will work with and create simple energy system models and tools. The basic principles underlying the models and their uses, strengths and weaknesses will be provided in accompanying lectures.
Toetsing
Eindresultaat
Verplicht | Weging 1% | ECTS 7,5
Energy systems modelling assignments (grading by staff) and a final exam.
Ingangseisen en voorkennis
Ingangseisen
Je moet een geldige toelatingsbeschikking hebben
Voorkennis
Energy Analysis (GEO3-2223) and Advanced Energy Analysis (GEO4-2508)
Voertalen
- Engels
Cursusmomenten
Gerelateerde studies
- Energy Science - Natural Science cohort 2023-2024
- Energy Science - System Analysis cohort 2023-2024
- Energy Science cohort 2024-2025
- Energy Science cohort 2025-2026
- Energy Science cohort 2026-2027
- Innovation Sciences cohort 2024-2025
- Innovation Sciences cohort 2025-2026
- Innovation Sciences cohort 2026-2027
- SD Earth System Governance cohort 2024-2025
- SD Earth System Governance cohort 2025-2026
- SD Earth System Governance cohort 2026-2027
- SD Energy and Materials cohort 2024-2025
- SD Energy and Materials cohort 2025-2026
- SD Energy and Materials cohort 2026-2027
- SD Environmental Change and Ecosystems cohort 2024-2025
- SD Environmental Change and Ecosystems cohort 2025-2026
- SD Environmental Change and Ecosystems cohort 2026-2027
- SD Politics, Ecology and Society cohort 2024-2025
- SD Politics, Ecology and Society cohort 2025-2026
- SD Politics, Ecology and Society cohort 2026-2027
- Sustainable Business and Innovation cohort 2024-2025
- Sustainable Business and Innovation cohort 2025-2026
- Sustainable Business and Innovation cohort 2026-2027
- Water Management for Climate Adaptation cohort 2025-2026
- Water Management for Climate Adaptation cohort 2026-2027
- Water Science and Management cohort 2024-2025
Tentamens
Er is geen tentamenrooster beschikbaar voor deze cursus
Verplicht materiaal
-
DIVERSESelection of articles and sections from reports and books, and lecture slides.
Aanbevolen materiaal
Er is geen informatie over de aanbevolen literatuur bekend
Coördinator
| dr. J. Hu | J.Hu@uu.nl |
Docenten
Inschrijving
Inschrijving
Van maandag 2 november 2026 tot en met vrijdag 20 november 2026
Na-inschrijving
Van maandag 18 januari 2027 tot en met dinsdag 19 januari 2027
Inschrijving niet geopend
Permanente link naar de cursuspagina
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