Operational Performance and Calibrated Model Analysis of a Large Low-Energy University Building
| 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.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.funder | De Montfort University | en |
| 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.language.iso | en | en |
| dc.peerreviewed | Yes | en |
| dc.projectid | Living Lab | 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 |