Optimization of Environmental and Energy Systems
7.5 ECTS creditsThe course covers theory and applications of optimization with a focus on linear programming and dynamic models for energy and environmental systems. The following components are included:
- Fundamental and advanced theory of linear programming
- Formulation of optimization models for static and dynamic systems
- Discrete-time optimization models and multistage problems
- Modeling of energy storage and storage dynamics, including charging and discharging constraints
- Constraints related to technology, resources, economics, and environmental impact
- Duality, shadow prices, and the economic interpretation of optimization solutions
- Sensitivity analysis, scenarios, and robustness in optimization models
- Optimization as decision support in system analysis, planning, and operation
Progressive specialisation:
A1N (has only first‐cycle course/s as entry requirements)
Education level:
Master's level
Admission requirements:
For students enrolled in degree programmes: 120 credits within the Bachelor of Science in Engineering programme in Energy and Environmental Engineering, or 150 credits within the Master of Science in Engineering programme in Energy and Environmental Engineering, or admission to the Supplementary Programme in Energy and Environmental Engineering leading to a Master of Science in Engineering degree.For students taking the course as a standalone course: university studies equivalent to 90 credits, including 7.5 credits in Classical Thermodynamics, 15 credits within the field of Energy Engineering, and 15 credits in Mathematics. Assessment of equivalent qualifications may be conducted.
Selection:
Selection is usually based on your grade point average from upper secondary school or the number of credit points from previous university studies, or both.