Operational Performance and Calibrated Model Analysis of a Large Low-Energy University Building

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dc.contributor.author Rees, S. J. en
dc.contributor.author Dadioti, R en
dc.date.accessioned 2013-10-08T15:37:45Z
dc.date.available 2013-10-08T15:37:45Z
dc.date.issued 2013-08-26
dc.identifier.citation Dadioti, R and Rees, S.J. (2013) Operational Performance and Calibrated Model Analysis of a Large Low-Energy University Building. Proceedings of Building Simulation 2013, Chambery, France, pp. 1675-1682. en
dc.identifier.uri http://hdl.handle.net/2086/9130
dc.description.abstract 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 weather-dependent 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. en
dc.language.iso en en
dc.subject energy en
dc.title Operational Performance and Calibrated Model Analysis of a Large Low-Energy University Building en
dc.type Conference en
dc.peerreviewed Yes en
dc.funder De Montfort University en
dc.projectid Living Lab en


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