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Model calibration for building energy efficiency simulation

journal contribution
posted on 15.03.2018 by Giorgio Mustafaraj, Dashamir Marini, Andrea Costa, Marcus Keane
This research work deals with an Environmental Research Institute (ERI) building where an underfloor heating system and natural ventilation are the main systems used to maintain comfort condition throughout 80% of the building areas. Firstly, this work involved developing a 3D model relating to building architecture, occupancy & HVAC operation. Secondly, the calibration methodology, which consists of two levels, was then applied in order to insure accuracy and reduce the likelihood of errors. To further improve the accuracy of calibration a historical weather data file related to year 2011, was created from the on-site local weather station of ERI building. After applying the second level of calibration process, the values of Mean bias Error (MBE) and Cumulative Variation of Root Mean Squared Error (CV(RMSE)) on hourly based analysis for heat pump electricity consumption varied within the following ranges: (MBE)hourly from -5.6% to 7.5% and CV(RMSE)hourly from 7.3% to 25.1%. Finally, the building was simulated with EnergyPlus to identify further possibilities of energy savings supplied by a water to water heat pump to underfloor heating system. It found that electricity consumption savings from the heat pump can vary between 20% and 27% on monthly bases.

Funding

Work in the Strategic Research Cluster ‘ITOBO’ is funded by Grant 06-SRC-I1091 from Science Foundation Ireland (SFI) with additional contributions from five industry partners.

History

School

  • Architecture, Building and Civil Engineering

Published in

Applied Energy

Volume

130

Pages

72 - 85

Citation

MUSTAFARAJ, G. ... et al., 2014. Model calibration for building energy efficiency simulation. Applied Energy, 130, pp. 72-85.

Publisher

© Elsevier

Version

VoR (Version of Record)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

Publication date

2014

Notes

This paper is in closed access.

ISSN

0306-2619

Language

en

Exports