I’m currently in the second year of my PhD after successfully completing the MRes in Energy Demand Studies with a distinction and passing my PhD Upgrade. My current research aims at calibrating and empirically validating UCL’s building stock models with the purpose of quantifying the influence of occupant behaviour variability on the summer indoor temperature. The calibration will be based on the method of Bayesian inference.
During my MRes year, I investigated the impact that the choice of Building Performance Simulation (BPS) tools may have on the prediction of overheating risk when the CIBSE TM59 methodology is used. This work has been presented at the 38th AIVC Conference in Nottingham and has been published in the journal of Building Services Engineering Research and Technology. The influence that heat transfer algorithm choice may have on the prediction of overheating risk has also been explored and the work has been presented at the 2018 Building Simulation and Optimisation Conference in Cambridge.
Prior to joining UCL, I graduated from the University of Warwick with a 1st Class (Honours) in Physics, receiving the top mark of my class. My studies have allowed for strong foundations in building physics, statistics and programming.
My research interests include:
Building performance simulation
Prediction and mitigation of domestic overheating risk
Uncertainty identification and minimisation
Programming and machine learning
MSc EPEE Research Concepts (seminar tutor)
MSc EDE Advanced Building Simulations (seminar tutor)
Petrou G., Symonds P, Mavrogianni A, Mylona A, Davies M. The summer indoor temperatures of the English housing stock: Exploring the influence of dwelling and household characteristics. Journal of Building Services Engineering Research & Technology. [online]. Available from: https://doi.org/10.1177/0143624419847621
Petrou G, Mavrogianni A, Symonds P, Mylona A, Virk D, Raslan R, Davies M, 2018. Can the choice of building performance simulation software significantly alter the level of predicted indoor overheating risk in London flats? Journal of Building Services Engineering Research & Technology. [online]. Available from: https://doi.org/10.1177/0143624418792340
Petrou G, Mavrogianni A, Symonds P, Korolija I, Mylona A, Raslan R, Virk, D, Davies M, 2018. What are the implications of building simulation algorithm choice on indoor overheating risk assessment?, in: Proceedings of the Building Simulation And Optimization 2018. Cambridge.