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Lecture
Design of Experiments: Efficiency and Interactions
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Energy Systems Optimization
Explores energy systems modeling, optimization, and cost analysis for efficient operations.
Design of Experiments: Statistical Design and Analysis
Covers statistical design of experiments, focusing on minimizing costs and maximizing accuracy.
Optimisation Strategies: Energy Systems Modelling and Optimization
Explores solving strategies for energy system optimization problems and different types of optimization approaches.
Optimization with Constraints: KKT Conditions
Covers the KKT conditions for optimization with constraints, essential for solving constrained optimization problems efficiently.
Response Surfaces: Design of Experiments Methodology
Covers the methodology of design of experiments, focusing on response surfaces and optimizing factor combinations.
Qualitative factors II
Explores qualitative factors in experimental design, factorial strategies, model computation, and practical exercises in Matlab.
Fractional factorial design: Basics and Applications
Explores fractional factorial design basics, including blocking alias, interaction effects, and design comparison.
Predicting Completion Time: Optimization Strategies
Discusses predicting completion time and optimizing activities through efficient orchestration strategies and experiment-based completion curve predictions.
DOE Qualitative factors III
Explores qualitative factors in Design of Experiments, including Latin squares, factorial designs, and ANOVA tables.
Thermo-economic Analysis: Energy Systems Optimization
Explores thermo-economic optimization of energy systems, covering efficiency, exergy, environmental impact, and cost estimation models.
