Projects
Projects: Projects for Investigator |
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| Reference Number | EP/I000143/1 | |
| Title | Intelligent Agents for Home Energy Management | |
| Status | Completed | |
| Energy Categories | Energy Efficiency(Residential and commercial) 50%; Energy Efficiency(Transport) 10%; Other Power and Storage Technologies(Electric power conversion) 10%; Other Power and Storage Technologies(Electricity transmission and distribution) 20%; Other Power and Storage Technologies(Energy storage) 10%; |
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| Research Types | Basic and strategic applied research 100% | |
| Science and Technology Fields | PHYSICAL SCIENCES AND MATHEMATICS (Computer Science and Informatics) 25%; ENGINEERING AND TECHNOLOGY (Electrical and Electronic Engineering) 25%; ENGINEERING AND TECHNOLOGY (Architecture and the Built Environment) 50%; |
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| UKERC Cross Cutting Characterisation | Sociological economical and environmental impact of energy (Consumer attitudes and behaviour) 50%; Sociological economical and environmental impact of energy (Technology acceptance) 25%; Sociological economical and environmental impact of energy (Other sociological economical and environmental impact of energy) 25%; |
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| Principal Investigator |
Dr AC Rogers No email address given Electronics and Computer Science University of Southampton |
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| Award Type | Standard | |
| Funding Source | EPSRC | |
| Start Date | 01 November 2010 | |
| End Date | 31 March 2014 | |
| Duration | 41 months | |
| Total Grant Value | £813,141 | |
| Industrial Sectors | Construction; Energy; Information Technologies | |
| Region | South East | |
| Programme | Digital Economy, Energy Multidisciplinary Applications | |
| Investigators | Principal Investigator | Dr AC Rogers , Electronics and Computer Science, University of Southampton (99.996%) |
| Other Investigator | Professor NR Jennings , Electronics and Computer Science, University of Southampton (0.001%) Professor N (Neville ) Stanton , Faculty of Engineering and the Environment, University of Southampton (0.001%) Professor AS (AbuBakr ) Bahaj , Faculty of Engineering and the Environment, University of Southampton (0.001%) Dr PAB (Patrick ) James , Faculty of Engineering and the Environment, University of Southampton (0.001%) |
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| Industrial Collaborator | Project Contact , Energy Saving Trust Ltd (The) (0.000%) Project Contact , AlertMe (0.000%) Project Contact , Drew Smith Ltd (0.000%) Project Contact , PRI Ltd (0.000%) Project Contact , Virgin Media (0.000%) |
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| Web Site | ||
| Objectives | ||
| Abstract | Meeting the challenge of cutting UK greenhouse gas emissions by 80% by 2050, and ensuring energy security in the face of dwindling oil and gas reserves, requires a radical change in the way energy (and particularly electricity) is generated, distributed and consumed . Central to delivering this change, is the need to support domestic consumers (who have the least visibility regarding their energy use, but who generate approximately 25% of total UK carbon emissions) in both reducing their demand for energy and improving the efficiency with which they use it. This proposal will do both by applying novel artificial intelligence approaches to the development of intelligent agents that will be transformational in empowering domestic consumers to visualise, understand and manage their energy use.These home energy management agents will collect real-time data from smart gas and electricity meters, and simple low cost temperature and occupancy sensor, and they will learn both the thermal characteristics of the building in which they are deployed and the day-to-day behaviour and energy demands of the home's occupants. In the short term, these agents will provide personalised support to householders by (i) visualising, analysing and comparing energy consumption (e.g. providing itemised energy use information, performing energy audits and comparisons across similar homes), by (ii) autonomously modelling and advising householders of the potential impact of various energy saving practices, and by (iii) tracking, providing feedback and motivating progress toward energy and carbon reduction goals. Such agents will go beyond the simple energy displays of today, and will act as persuasive technologies informed by a cognitive model of behaviour change. In the medium term, they will directly interface with network enabled appliances and will actively manage the delivery of heat and the deferral of electrical loads whilst making efficient use of shared and private variable renewable generation. In doing so, they will provide autonomous and intelligent demand management, whilst satisfying the individual householders' preferences regarding comfort, cost and carbon. Finally, in the long term, these agents will integrate with electric vehicles (EV) and plug-in hybrid vehicles (PHEV), giving the home's occupants visibility and control of their total energy and carbon use, proactively managing electricity storage within these vehicles, and facilitatingthe delivery of individual carbon budgets and allowances . In essence the project will enable occupants to make appropriately relevant behaviour decisions on their energy consumption and generation, relating the impacts of these decisions on carbon emissions. Beyond the immediate confines of the home, these agents will also have a profound impact at the macro level. They will be developed with a future outlook to facilitate a smart grid in which electricity is bought and sold through short-term dynamically negotiated contracts with local, community-owned and national energy providers in response to real-time pricing and carbon intensity signals.To achieve the goals outlined above, the project brings together an interdisciplinary team comprising world leading experts in the fields of intelligent agents and multi-agent systems (School of Electronics and Computer Science), renewable energy and energy efficiency in the built environment, and human factors in the design of automated control and feedback systems (Sustainable Energy Research Group and Transportation Research Group in the School of Civil Engineering and the Environment) at the University of Southampton. The home energy management agents will be evaluated and demonstrated within two live deployments: one using an existing test-bed of 9 homes in Havant, and one using 25 homes currently undergoing a social house redevelopment programme in Southampton | |
| Publications | (none) |
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| Final Report | (none) |
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| Added to Database | 21/07/10 | |
