Characterising uncertainty in complex environmental simulations for public engagement with climate change conscious sustainable planning and design

Supervisor

Dr Chengzhi Peng, School of Architecture

Co-supervisor

Dr Richard Wilkinson, School of Mathematics and Statistics
Professor Helen Kennedy, Department of Sociological Studies

 

Grantham Scholar

Jonathan Sykes

This project applies machine learning and surrogate modelling techniques to analyse the impact of climate change on built environments. There is also increased pressure to engineer buildings to use less energy and provide improved comfort for occupants. This motivates the provision of risk assessments as to the risk of over- or under-engineering of environmental systems. Commonly these are air conditioning units. Ideally such models could be linked to costing models to directly facilitate decision making.