Reduction of Energy Demand in Buildings through Optimal Use of Wireless Behaviour Information (Wi-be) Systems

Completed

Energy Efficiency(Residential and commercial)

Basic and strategic applied research

SOCIAL SCIENCES (Sociology)
SOCIAL SCIENCES (Psychology)
PHYSICAL SCIENCES AND MATHEMATICS (Computer Science and Informatics)
ENGINEERING AND TECHNOLOGY (Architecture and the Built Environment)

Not Cross-cutting
Sociological economical and environmental impact of energy (Consumer attitudes and behaviour)
Sociological economical and environmental impact of energy (Technology acceptance)
Sociological economical and environmental impact of energy (Other sociological economical and environmental impact of energy)

Dr L Shao
Construction Management and Engineering
University of Reading

Standard

EPSRC

01 October 2010

31 August 2012

23 months

£597,628

Management & business studies

South East

Energy Multidisciplinary Applications

Dr L Shao, Construction Management and Engineering, University of Reading

Dr J Bigham, Electronic Engineering and Computer Science, Queen Mary University of London
Dr MC Gillott, Architecture and Built Environment, University of Nottingham
Professor Y Hao, Electronic Engineering and Computer Science, Queen Mary University of London
Dr KN Irvine, Institute of Energy and Sustainable Development (IESD), De Montfort University
Dr M Lemon, Institute of Energy and Sustainable Development (IESD), De Montfort University
Professor C Parini, Electronic Engineering and Computer Science, Queen Mary University of London
Professor T Rodden, Computer Science, University of Nottingham

Project Contact, Philips Research Laboratories, The Netherlands
Project Contact, Microwatt
Project Contact, CIBSE

The recent availability of very low power (e.g., battery powered) wireless sensors, networks and personal communication devices has enabled the exploration of wireless systems for both monitoring personal energy use and for feeding back the information directly to individuals responsible. These are based on static wireless sensors utilising low cost, small, low power digital radio (ZigBee) and real-time user location sensors using RFID and Ultra-wideband (UWB) radio frequency technologies. Low cost, low power, user feedback technologies include Ekahau Wi-Fi based devices and mobile phones.The Wi-be system is truly "user-centric" and promises huge potential for instigating behaviour change and substantial energy demand reduction: it complements the smart metering technology and takes a significant step further in helping to identify specific wasteful energy use, actions to take and the persons to take them. Unlike the smart meter, which is expected to provide overall consumption data in specific feedback formats (11), the Wi-be approach forms a "people/building energy technology interface" that promises much greater energy behaviour changes that are widely replicable and adaptable to future energy technology scenarios. When implemented and used over a period of time, it could potentially bring about a durable behavioural change leading to efficient energy uses.However, development of this technology gives rise to inter-related challenges spanning ICT, building energy and user behaviour, which so far are largely being researched in isolation. What is required is a multi-disciplinary study to bring about a step change in the understanding of Wi-be technology to ensure its effectiveness and successful uptake.Based on a new collaboration, the study will provide tools, guidance and vastly improved understanding for effective implementations of the technology that would result in durable and significant reduction of energy demand. Specific objectives include:1. Construct a state-of-the-art very-low-power Wi-be system for monitoring and communicating personal energy behaviours in both domestic and non-domestic buildings. This will involve both in-building and on-body sensors and will be installed in an office building and a house, to be used as test beds for the integrated research:2. Conduct cross-disciplinary assessment of Wi-be by integrating the following:a. Sensor Network Research - determining what is practical, in terms of building and body sensors, in order to capture energy-inefficient behaviour;b. Wireless Research - modelling of wireless sensor signal propagation to ascertain the optimum configurations (e.g., location, power levels) and potential limitations to physical deployment of wireless sensors, network and other related communication devices operating at very low power (and consequently very long battery life);c. Behavioural Research - determine the optimum feedback interface, format and timing of sensor data presentation to individual energy users in order to achieve the best effects on stimulating immediate action and durable behavioural change;d. Building Energy Research - to assess interactions between building energy demand, supply and user behaviour, as well as benchmarks, and their implications for optimum arrangement for feedback to users;3. To engage users, manufacturers and other stakeholders to ensure quality and relevance of the results and their effective dissemination for commercial deployment. Dissemination of the integrated methodology, established in this feasibility study, will permit future deployment into large scale assessments and commercial exploitation

03/11/10