- Investigating methods to quantifying uncertainty in PM2.5 emission rates from cooking by toasting bread. Dans: Building and Environment, v. 248 (janvier 2024). (2024):
- A population framework for predicting the proportion of people infected by the far-field airborne transmission of SARS-CoV-2 indoors. Dans: Building and Environment, v. 221 (août 2022). (2022):
- Modelling uncertainty in the relative risk of exposure to the SARS-CoV-2 virus by airborne aerosol transmission in well mixed indoor air. Dans: Building and Environment, v. 191 (mars 2021). (2021):
- Simulation of pollution transport in buildings: the importance of taking into account dynamic thermal effects. Dans: Building Services Engineering Research and Technology, v. 35, n. 6 (octobre 2014). (2014):
- What we think we know about the aerodynamic performance of windows. Dans: Energy and Buildings, v. 231 (janvier 2021). (2021):
- Risk analysis of housing energy efficiency interventions under model uncertainty. Dans: Energy and Buildings, v. 109 (décembre 2015). (2015):
- Quantifying uncertainty in thermophysical properties of walls by means of Bayesian inversion. Dans: Energy and Buildings, v. 177 (octobre 2018). (2018):
- CHAARM: A model to predict uncertainties in indoor pollutant concentrations, ventilation and infiltration rates, and associated energy demand in Chilean houses. Dans: Energy and Buildings, v. 230 (janvier 2021). (2021):
- A data analysis of the Chilean housing stock and the development of modelling archetypes. Dans: Energy and Buildings, v. 206 (janvier 2020). (2020):
- Setting the standard: The acceptability of kitchen ventilation for the English housing stock. Dans: Building and Environment, v. 166 (décembre 2019). (2019):
- Development of a dynamic external CFD and BES coupling framework for application of urban neighbourhoods energy modelling. Dans: Building and Environment, v. 146 (décembre 2018). (2018):
- Mapping indoor overheating and air pollution risk modification across Great Britain: A modelling study. Dans: Building and Environment, v. 99 (avril 2016). (2016):
- Assessing uncertainty in housing stock infiltration rates and associated heat loss: English and UK case studies. Dans: Building and Environment, v. 92 (octobre 2015). (2015):
- Using probabilistic sampling-based sensitivity analyses for indoor air quality modelling. Dans: Building and Environment, v. 78 (août 2014). (2014):
- Multi-objective methods for determining optimal ventilation rates in dwellings. Dans: Building and Environment, v. 66 (août 2013). (2013):