Bp 377 en
Numerical optimization of industrial processes
Author: Lenka Caletková
This thesis handles the conception of numerical optimizations and presents Python libraries, which are able to solve optimization problems. It compares their usability, stability and computing possibilities. All these aspects were tested on two specific industrial processes - control of the tunnel ventilation and heating systems control in buildings. A functional code in Python programming language for performance optimization of tunnel ventilation represents the outcome of this thesis.