Model predictive control for optimum integration of active and passive energy sources

The primary objective of this research is to develop an energy management system for the Co-creation center (CCC) that maximizes the use of passive energy sources while maintaining indoor thermal comfort. Passive energy sources have the potential to significantly reduce the energy consumption of the building. However, to achieve optimal energy...

Modeling and scheduling an autonomous sorting system using a switching max-plus linear model

Sorting systems form an example of event driven systems. These types of systems are referred to as discrete event systems (DES), and they consist of jobs that need to be performed at available resources. In an autonomous sorting system, jobs consist of robots receiving and delivering parcels at the correct locations. With scheduling, optimal...

A Convex Economic Model Predictive Control Framework for Hydraulic-Drivetrain Wind Turbines and Farms

In the mission to slow down global warming, the replacement of fossil fuels by renewable energy resources is key. A tipping point in the adoption of renewable energy resources is notable, as they are becoming economically more viable. Offshore wind energy is considered essential in realizing the greenhouse gas emission reduction targets. However...

Pumping when the wind blows: Demand response in the Dutch delta

This thesis investigates the potential of a large pumping station in IJmuiden, the Nether-lands, for participating in Demand Response. Due to climate change, renewable energy is onthe rise. The intermittency of energy, together with its unpredictable supply, are a big hurdlefor the energy transition. Two methods are promising solutions to this...

Fast MPC Solvers for Systems with Hard Real-Time Constraints

Model predictive control (MPC) is an advanced control technique that offers an elegant framework to solve a wide range of control problems (regulation, tracking, supervision, etc) and handle constraints on the plant. The control objectives and constraints are usually formulated as an optimization problem that the MPC controller has to solve ...

Wing Shape Multidisciplinary Design Optimization

Multidisciplinary design optimizations have shown great benefits for aerospace applications in the past. Especially in the last decades with the advent of high speed computing. Still computational time limits the desire for models with high level of fidelity cannot be always fulfilled. As a conse- quence, fidelity is often sacrificed in order to...