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Energy consumption prediction models for the retail sector

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conference contribution
posted on 2015-08-10, 12:55 authored by Maria Spyrou, Malcolm CookMalcolm Cook, Kirk Shanks, Richard Lee, J. Conlin
The ability to analyse and accurately forecast future events is becoming increasingly important as most management decisions depend on them. This is especially evident for the retail sector, mainly because of the small margins that the sector is working within, alongside the increasing prices of electricity and gas. Tesco, as the market leader, wishes to be at the forefront of research and make a step change in their ability to forecast and reduce the energy consumption of their buildings. This work presents the various benchmarking methods available in the UK, Europe and the US, including CIBSE TM46, ISA, and ASHRAE benchmarks. The mathematical techniques employed to access the predictions obtained using these benchmarking and forecasting methods are discussed as well as the analysis and forecasting methods used by the industry. The research reported throughout this paper uses energy data obtained from the Tesco estate to draw correlations with weather, sales’ floor area, sales and other factors that might affect the energy consumption. Initial results regarding the effect these factors have on the energy consumption of buildings in the Tesco estate are presented.

Funding

The authors would like to thank the Engineering and Physical Sciences Research Council (EPSRC) and Tesco Stores Ltd for funding this project.

History

School

  • Architecture, Building and Civil Engineering

Published in

CIBSE Technical Symposium

Citation

SPYROU, M.S. ... et al, 2011. Energy consumption prediction models for the retail sector. Presented at: CIBSE Technical Symposium, 6th-7th September 2011, DeMontfort University, Leicester UK

Publisher

CIBSE

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

2011

Notes

This is a conference paper.

Language

  • en

Location

DeMontfort University, Leicester UK

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