Stochastic Building Simulation
Building Energy Simulation Models have reached the capability of representing with high accuracy most of the phenomena determining the energy performance and thermal behaviour of buildings. However this high degree of detail entails an equally high level of complexity so that it would be particularly useful to provide a framework for model diagnostics and calibration.
The main aim of this project is to provide such a framework by applying sensitivity analysis techniques and stochastic calibration based on Bayesian methods. ARCHIE-WeSt has provided a valuable facility for carrying out the multiple model simulations needed for the calculation of sensitivity measures and in performing Bayesian inference through the integration of high dimensional probability distribution with Markov Chain Monte Carlo Methods.
This research is supported by the Building Research Establishment (BRE). For more information contact Dr Paul Strachan (firstname.lastname@example.org), Senior Lecturer at the Department of Mechanical and Aerospace Engineering at the University of Strathclyde, or Filippo Monari (email@example.com), who is concluding his PhD in the Energy System Research Unit (ESRU), Centre of Excellence in Energy Utilisation.
For a list of the research areas in which ARCHIE-WeSt users are active please click here.