Research and expertise
I am interested in energy modelling, simulation and occupant behaviour modelling. Through my Phd, I have experience in energy model development, data driven modelling techniques, and sensitivity analysis.
My current research focuses on occupant behaviour, and how occupant behaviour modelling can be employed to develop a robust building energy policy. The aim is to create a modelling tool that incorporates a greater representation of occupant behaviour into determining the real energy demand of dwellings.
Current research activity
PhD Project 2019-2022: The role of occupant behaviour in UK building energy policy. Supervised by Dr Steven Firth & Prof Kevin Lomas.
Recently completed research projects
MRes 2018-2019: A Markov based modelling approach for occupancy presence in residential buildings. Supervised by Dr Steven Firth.
Halls, B. & Firth, S. (2020) Occupant Behaviour: A Data Driven Markov Model for Occupancy Presence in Residential Buildings. Building Simulation 2020 – Loughborough, UK. Retrieved from: http://www.ibpsa.org/proceedings/BSO2020/BSOV2020_Halls.pdf
I am a doctoral researcher of the London Loughborough (LoLo) CDT which specializes in research focusing on energy demand in the built environment. My PhD project focuses on occupant behaviour, and my research aims to identify how occupant behaviour models can be used to develop robust building energy policy initiatives.
Before joining Loughborough University, I graduated from Nottingham Trent University, achieving an MSci in Physics, with my project focussed on atmospheric studies.
As part of my MRes, I developed a data driven occupancy presence model, for better occupancy prediction in residential buildings.