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Operational Performance And Calibrated Model Analysis Of A Large Low-energy University Building

This paper demonstrates a reproducible methodology for calibrating detailed energy models using hourly measured data that has been applied to evaluation of a large naturally ventilated university building. The aim of the project is to develop a rigorous calibration method and use it to investigate Energy Conservation Measures (ECM) and retrofit renewable energy technologies to achieve carbon emissions reduction. The methodology is based on a standardized day-typing method using data visualization and statistical techniques to establish accurate schedules for non weather-dependent demands. The influential weatherdependent sources of output uncertainty have been studied using two forms of sensitivity analysis. It was found that applying the Modified Morris method resulted in effective calibration with a manageable quantity of annual simulations and allowed some insight into the physical behaviour of the building. We also show how data visualisation has allowed further refinement of the model.