CORE
🇺🇦
make metadata, not war
Services
Services overview
Explore all CORE services
Access to raw data
API
Dataset
FastSync
Content discovery
Recommender
Discovery
OAI identifiers
OAI Resolver
Managing content
Dashboard
Bespoke contracts
Consultancy services
Support us
Support us
Membership
Sponsorship
Community governance
Advisory Board
Board of supporters
Research network
About
About us
Our mission
Team
Blog
FAQs
Contact us
research
Using regression analysis to predict the future energy consumption of a supermarket in the UK
Authors
H. Altan
S.B.M. Beck
M.R. Braun
Publication date
1 October 2014
Publisher
'Elsevier BV'
Doi
Cite
Abstract
The change in climate has led to an interest in how this will affect the energy consumption in buildings. Most of the work in the literature relates to offices and homes. However, this paper investigates a supermarket in northern England by means of a multiple regression analysis based on gas and electricity data for 2012.The equations obtained in this analysis use the humidity ratio derived from the dry-bulb temperature and the relative humidity in conjunction with the actual dry-bulb temperature. These equations are used to estimate the consumption for the base year period (1961-1990) and for the predicted climate period 2030-2059.The findings indicate that electricity use will increase by 2.1% whereas gas consumption will drop by about 13% for the central future estimate. The research further suggests that the year 2012 is comparable in temperature to the future climate, but the relative humidity is lower. Further research should include adaptation/mitigation measures and an evaluation of their usefulness. © 2014 Elsevier Ltd
Similar works
Full text
Open in the Core reader
Download PDF
Available Versions
Crossref
See this paper in CORE
Go to the repository landing page
Download from data provider
info:doi/10.1016%2Fj.apenergy....
Last time updated on 03/12/2019
White Rose Research Online
See this paper in CORE
Go to the repository landing page
Download from data provider
oai:eprints.whiterose.ac.uk:80...
Last time updated on 18/02/2015
Elsevier - Publisher Connector
See this paper in CORE
Go to the repository landing page
Download from data provider
Last time updated on 05/06/2019
Elsevier - Publisher Connector
See this paper in CORE
Go to the repository landing page
Download from data provider
Last time updated on 05/05/2017