Regression analysis of the energy consumption of tertiary buildings

Beñat Arregi; Roberto Garay

doi:10.1016/j.egypro.2017.07.290

Regression analysis of the energy consumption of tertiary buildings

Beñat Arregi, Roberto Garay

Producción científica: Contribución a una revista › Artículo de la conferencia › revisión exhaustiva

18 Citas (Scopus)

Resumen

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.

Idioma original	Inglés
Páginas (desde-hasta)	9-14
Número de páginas	6
Publicación	Energy Procedia
Volumen	122
DOI	https://doi.org/10.1016/j.egypro.2017.07.290
Estado	Publicada - 2017
Evento	International Conference on Future Buildings and Districts - Energy Efficiency from Nano to Urban Scale, CISBAT 2017 - Lausanne, Suiza Duración: 6 sept 2017 → 8 sept 2017

Palabras clave

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.

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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.",

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AB - 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.

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KW - Linear regression

KW - Tertiary buildings

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KW - Linear regression

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Regression analysis of the energy consumption of tertiary buildings

Resumen

Palabras clave

Project and Funding Information

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