Projects
Projects: Projects for Investigator |
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| Reference Number | EP/K00557X/1 | |
| Title | Optimal Prediction in Local Electricity Markets | |
| Status | Completed | |
| Energy Categories | Other Power and Storage Technologies(Electricity transmission and distribution) 20%; Other Power and Storage Technologies(Energy storage) 10%; Other Cross-Cutting Technologies or Research(Environmental, social and economic impacts) 70%; |
|
| Research Types | Basic and strategic applied research 100% | |
| Science and Technology Fields | PHYSICAL SCIENCES AND MATHEMATICS (Applied Mathematics) 100% | |
| UKERC Cross Cutting Characterisation | Systems Analysis related to energy R&D 50%; Sociological economical and environmental impact of energy (Other sociological economical and environmental impact of energy) 50%; |
|
| Principal Investigator |
Prof J (John ) Moriarty No email address given Mathematical Sciences Queen Mary, University of London |
|
| Award Type | Standard | |
| Funding Source | EPSRC | |
| Start Date | 01 February 2013 | |
| End Date | 31 August 2015 | |
| Duration | 31 months | |
| Total Grant Value | £569,611 | |
| Industrial Sectors | Energy; Financial Services | |
| Region | London | |
| Programme | Energy : Energy, NC : Maths | |
| Investigators | Principal Investigator | Prof J (John ) Moriarty , Mathematical Sciences, Queen Mary, University of London (100.000%) |
| Web Site | ||
| Objectives | ||
| Abstract | Over the next four years this Fellowship aims to build an internationally leading research team in stochastic modelling of local energy markets. The Fellow and researcher will develop theory and numerical methods to solve emerging mathematical problems in UK power systems, with a focus on modelling the community scale, in order to achieve the maximum welfare benefit from the design of these markets. The research programme will be carried out in the context of the Fellow's existing Energy group, which includes three PhD students working in power systems and energy storage. This work will involve fruitful interactions with other probabilists in the UK, power systems engineers in the UK, US and Canada, and UK industry experts working on such problems. It will have significant impact through the creation of algorithms and software, enabling the efficient numerical solution of planning and operational problems for local electricity markets. A longer term impact will be to further establish Manchester (and the UK) as a centre for talented researchers in cross-disciplinary applications of probability theory to power systems | |
| Publications | (none) |
|
| Final Report | (none) |
|
| Added to Database | 18/03/13 | |
