Optimizing the pump schedule of water distribution systems using a deep learning meta-model: To what extent can algorithm unrolling optimize the pump schedule of an urban water distribution system?

This thesis investigates the integration of algorithm unrolling and genetic algorithms (GA) for optimizing pump scheduling in water distribution systems (WDS), a critical component for ensuring energy-efficient water delivery. In the context of modern civilization’s reliance on clean, affordable water for diverse uses, the operation of a WDS,...

Incorporating institutions into optimization-based energy system models

The pledge for a carbon-free energy system in 2050 requires significant investments into renewable energy sources (RES). The relevant questions are: what technologies to select, where to build them, how much the capacities are, and at what cost. In order to answer these techno-economic questions, optimization models are commonly used to sketch a...

Freeform Follows Functions

This research is twofold. Firstly it treats the complexity of design using a computational intelligent method to achieve, with regard to a limited set of goals, high performing designs. Secondly, an architectural and structural challenge to conceptually design a freeform roof framework, which integrates structural rigidity and non-standard...