Shukla, Ashish, Liu, Shuli, Gaterell, Mark, Wood, Georgina, Day, Rosie, Iweka, Obiajulu, Hussain, Atif, Van Der Horst, Dan and Petridis, Panagiotis (2019). Implementing an integrated meter and sensor system (IMSS) in existing social housing stock. Energy and Buildings, 182 , pp. 274-286.
Abstract
The current rollout of smart meters for gas and electricity, both in the UK and internationally, will help suppliers to better forecast demand and supply accurate bills to consumers. However, even with an in-home display (IHD), the benefits of a smart meter to a domestic customer are limited by the so-called ‘double invisibility’ of energy [1] and the standardisation of IHD design for an imagined home ‘micro-resource manager’ [2]. Furthermore, low-income households may be limited in the benefits they can reap from such systems; already living within a tight budget, suggestions for further energy-related cost savings may be detrimental to their health and wellbeing. This makes it important that the impact of actions taken to save energy is communicated. This can be done using indoor environmental measures, including carbon dioxide, relative humidity and temperature, as part of an integrated meter and sensor system (IMSS) and an associated IHD or digital application. Such a system gives users the ability to make informed decisions about their energy use and indoor environmental health. This paper explores the potential barriers to implementing an IMSS in practice. It explains how an IMSS was designed, based on a review of meter and sensor systems; details the process is taken to trial the IMSS in 19 social housing properties in the English Midlands; and makes recommendations for a larger scale rollout of IMSSs. The paper also reviews current progress in cloud storage and security as relevant to IMSSs and smart metering.
Publication DOI: | https://doi.org/10.1016/j.enbuild.2018.10.012 |
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Divisions: | College of Business and Social Sciences > Aston Business School > Operations & Information Management College of Business and Social Sciences > Aston Business School |
Additional Information: | © 2018, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/ |
Uncontrolled Keywords: | Energy,Integrated meter and sensor system,Social housing,Civil and Structural Engineering,Building and Construction,Mechanical Engineering,Electrical and Electronic Engineering |
Publication ISSN: | 0378-7788 |
Last Modified: | 14 Aug 2024 17:26 |
Date Deposited: | 29 Oct 2018 08:45 |
Full Text Link: | |
Related URLs: |
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(Publisher URL) http://www.scop ... tnerID=8YFLogxK (Scopus URL) |
PURE Output Type: | Article |
Published Date: | 2019-01-01 |
Published Online Date: | 2018-10-23 |
Accepted Date: | 2018-10-15 |
Authors: |
Shukla, Ashish
Liu, Shuli Gaterell, Mark Wood, Georgina Day, Rosie Iweka, Obiajulu Hussain, Atif Van Der Horst, Dan Petridis, Panagiotis ( ![]() |
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