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Energy consumption prediction models for the retail sector
conference contribution
posted on 2015-08-10, 12:55 authored by Maria Spyrou, Malcolm CookMalcolm Cook, Kirk Shanks, Richard Lee, J. ConlinThe 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 SymposiumCitation
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 UKPublisher
CIBSEVersion
- 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
2011Notes
This is a conference paper.Publisher version
Language
- en