Projects: Projects for Investigator |
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Reference Number | EP/I000496/1 | |
Title | Multiscale Modelling to maximise Demand Side Management (Part 2) | |
Status | Completed | |
Energy Categories | Energy Efficiency(Residential and commercial) 20%; Other Power and Storage Technologies(Electricity transmission and distribution) 80%; |
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Research Types | Basic and strategic applied research 100% | |
Science and Technology Fields | PHYSICAL SCIENCES AND MATHEMATICS (Computer Science and Informatics) 80%; ENGINEERING AND TECHNOLOGY (Architecture and the Built Environment) 20%; |
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UKERC Cross Cutting Characterisation | Systems Analysis related to energy R&D 50%; Sociological economical and environmental impact of energy (Consumer attitudes and behaviour) 30%; Sociological economical and environmental impact of energy (Technology acceptance) 10%; Other (Energy technology information dissemination) 10%; |
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Principal Investigator |
Professor T Rodden No email address given Computer Science University of Nottingham |
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Award Type | Standard | |
Funding Source | EPSRC | |
Start Date | 01 September 2010 | |
End Date | 28 February 2014 | |
Duration | 42 months | |
Total Grant Value | £612,659 | |
Industrial Sectors | Energy; Information Technologies | |
Region | East Midlands | |
Programme | Digital Economy, Energy Multidisciplinary Applications | |
Investigators | Principal Investigator | Professor T Rodden , Computer Science, University of Nottingham (99.996%) |
Other Investigator | Dr MC Gillott , Architecture and Built Environment, University of Nottingham (0.001%) Professor U Aickelin , Computer Science, University of Nottingham (0.001%) Professor D McAuley , Computer Science, University of Nottingham (0.001%) Dr B Koleva , Computer Science, University of Nottingham (0.001%) |
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Industrial Collaborator | Project Contact , Areva (0.000%) Project Contact , Scottish and Southern Energy plc (0.000%) Project Contact , Flexitricity Limited (0.000%) Project Contact , SP Energy Networks (0.000%) Project Contact , Wilson Energy (0.000%) Project Contact , International Union for Electricity Applications (UIE), France (0.000%) Project Contact , E.ON E&P UK Ltd (0.000%) |
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Web Site | ||
Objectives | The following grants are linked together: EP/I000585/1, EP/I000496/1 and EP/I000305/1 | |
Abstract | Modern energy systems are complex technical, social and economic endeavours formed through the assembly of a broad set of elements and shaped by the actions of many multiple actors including consumers, suppliers and regulators. While some gains can be achieved by optimising parts of these systems, significant reduction in energy demand is a major challenge requiring changes in behaviour from allthe actors involved. In this proposal we wish to exploit the ability of digital technologies to monitor, model and represent the operation and effects of energy demand to promote changes in these systems. This is often realised through a set of actions and measures, commonly known as "demand side management" (DSM). Current approaches to DSM and reduction of energy demand, however, are often viewed entirely from the consumer's perspective, concentrating mostly on the importance of behavioural changes and the role of energy displays (or "smart meters") as main drivers of these changes. This emphasises only one part of modern and increasingly complex energy systems, which actually need to be understood in their entirety to ensure that changes will have both significant and sustainable impact. Accordingly, this proposal adopts an end-to-end approach to exploit digital technology to understand the overall energy supply system (from generation to transmission, distribution and utilisation), in which devised changes are targeted at the points of maximum impact and all involved system elements are fully optimised to reap the benefits of these changes.The ultimate aimof our research isto answer how the significant potential benefits of DSM can be maximised through the provision of a unified, versatile and affordable digital infrastructure that allows us to reason across a whole energy system and supports new ways to exchange information between dynamic multiscale DSM models. The expected outcome is access to, and presentation of, not just quantitative information (e.g. the amount of modified active/reactive power demands), but also qualitative information (e.g. what are the actual load mixes and load sectors responsible for the changes in demand and what are their definite effects) to all involved stakeholders. In particular, we wish to link the use of modern digital technologies, capable of impacting the behaviour of the consumers, with the abilityto optimally respond to the resulting changes in energy demand.The project team brings together researchers with a background in ubiquitous computing, complex systems modelling and user centred development to work with researcher focusing of real world energy systems and energy economics. We will adopt a user driven approach to the design and development of a series of computational models and digital technologiesworking closely with consumers, energy supply companies and government bodies to explore a set of exciting state-of-the-art innovations based on low-cost sensing and display technologies. The project team has strong connections with key industrial, public sector and academic groups in UK and internationally, and these will be used to ensure that the proposed research will have maximum impact. Free access to any developed system to promote change, and a publicly accessible web site will be maintained for the dissemination of the results. We intend to make any software artefacts and device designs available via open source distribution through the Horizon DE Hub. We will build upon our existing public dissemination work to emphasise issues of ethics and societal impact asimportant features of this work | |
Data | No related datasets |
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Projects | No related projects |
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Publications | No related publications |
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Added to Database | 28/10/10 |