Thesis title: Simulating and Optimising the Performance of the Building Stock
Primary supervisor: Paul Ruyssevelt
Secondary supervisor: Ivan Korolija
The process of automatically simulating the energy and environmental performance of the building stock is a rapidly evolving field of research which is proving to be valuable to local and national governments.
The SimStock modelling platform is already capable of undertaking wide-area, multi-building simulations to predict the performance of the building stock.
This research project seeks to advance this field of research by developing methods for scenario analysis, sensitivity and uncertainty analysis, validation and optimisation of predicted outcomes.
The project is supported by Bentley Systems, the leading global provider of software solutions for the design, construction, and operations of buildings and infrastructure.