| EPSRC Reference: |
EP/M507155/1 |
| Title: |
Upside |
| Principal Investigator: |
Peskir, Professor G |
| Other Investigators: |
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| Researcher Co-Investigators: |
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| Project Partners: |
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| Department: |
Mathematics |
| Organisation: |
University of Manchester, The |
| Scheme: |
Technology Programme |
| Starts: |
31 December 2014 |
Ends: |
30 June 2016 |
Value (£): |
47,463
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| EPSRC Research Topic Classifications: |
| Energy Storage |
Sustainable Energy Networks |
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| EPSRC Industrial Sector Classifications: |
| Energy |
Information Technologies |
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| Related Grants: |
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| Panel History: |
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Summary on Grant Application Form |
Our research will have three parts. First we will perform state of the art statistical modelling of CO2 intensity in UK
electricity generation. This will provide powerful statistical representations of daily variation in the use of CO2 intensive
fuels (principally coal and gas), taking into account both seasonal and within-day fluctuations.
Second, we will develop a method to generate daily carbon intensity profile predictions (for both average level and
statistical variation).
Third, we will produce a control algorithm to generate UPS recharging schedules optimised for the lowest carbon intensity.
This will provide day-ahead schedules which aim to minimise the CO2 produced in recharging the UPS fleet, by taking into
account the abovementioned statistical models.
The above statistical models and generated control policies will also be published by Upside as part of their open source
approach, adding to the rich real-time UK grid data available to the public.
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Key Findings |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Potential use in non-academic contexts |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Impacts |
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| Description |
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk |
| Summary |
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| Date Materialised |
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Sectors submitted by the Researcher |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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| Project URL: |
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| Further Information: |
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| Organisation Website: |
http://www.man.ac.uk |