Abstract
Energy signature methods are applied over three tertiary buildings in the UK, Sweden and Spain, based on both simulations and experimental data, for pre- and post-retrofit scenarios. Variations in their energy profiles relate to differences in climate severity, usage pattern (continuous/discontinuous) and HVAC scheduling. This study discusses the impact of such particularities for obtaining a steady-state linear regression model of the dependence of heating energy load against climate data. The choices of dataset and time step have important implications for the results obtained.
| Original language | English |
|---|---|
| Pages (from-to) | 9-14 |
| Number of pages | 6 |
| Journal | Energy Procedia |
| Volume | 122 |
| DOIs | |
| Publication status | Published - 2017 |
| Event | International Conference on Future Buildings and Districts - Energy Efficiency from Nano to Urban Scale, CISBAT 2017 - Lausanne, Switzerland Duration: 6 Sept 2017 → 8 Sept 2017 |
Keywords
- Energy signature
- Linear regression
- Tertiary buildings
Project and Funding Information
- Project ID
- info:eu-repo/grantAgreement/EC/FP7/609377/EU/REtrofitting Solutions and Services for the enhancement of Energy Efficiency in Public Edification/RESSEEPE
- Funding Info
- The research leading to these results has been partly developed within the RESSEEPE project, funded by the European Union's Seventh Framework Programme (FP7) under grant agreement no. 609377.