Projects: Projects for Investigator |
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Reference Number | NIA_NPG_003 | |
Title | Smart Data | |
Status | Completed | |
Energy Categories | Other Power and Storage Technologies(Electricity transmission and distribution) 100%; | |
Research Types | Applied Research and Development 100% | |
Science and Technology Fields | ENVIRONMENTAL SCIENCES (Geography and Environmental Studies) 50%; ENGINEERING AND TECHNOLOGY (Electrical and Electronic Engineering) 50%; |
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UKERC Cross Cutting Characterisation | Not Cross-cutting 100% | |
Principal Investigator |
Project Contact No email address given Northern Powergrid |
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Award Type | Network Innovation Allowance | |
Funding Source | Ofgem | |
Start Date | 01 September 2012 | |
End Date | 01 December 2015 | |
Duration | 39 months | |
Total Grant Value | £5,000 | |
Industrial Sectors | Power | |
Region | Yorkshire & Humberside | |
Programme | Network Innovation Allowance | |
Investigators | Principal Investigator | Project Contact , Northern Powergrid (100.000%) |
Web Site | http://www.smarternetworks.org/project/NIA_NPG_003 |
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Objectives | There are three key objectives to the project have been undertaken as a three year PhD project. The project’s main phases are: Months 1 - 3: Understanding the background e. g. electricity distribution networks Months 4 - 12: Identifying and assessing the data, representation technologies and the potential benefits. Months 13 - 24: Constructing demonstrator Months 25 - 33: Demonstrating and improving Months 31 - 36: Completion of write up The relevance of this project to the business is that it aims to make a significant contribution to the next generation of network management systems through understanding and showing the capabilities of geospatial diagrams and data representation with regards to low carbon and smart data, in terms of the impact they can have on network management. The project contributes to our preparedness for the future by enhancing our understanding of the data management implications of low carbon technologies. The project at the point of transfer from IFI to NIA is month 29 of the schedule. The project will be deemed successful if we receive all of the deliverables and are able to interpret and apply the results. Specific success criteria include: Clear classification of types of data and representation technologies. Useful guidance on potential solutions to data management problems. Helpful advice about using the new data in distribution network management. Successful implementation of the demonstrator to serve as a prototype / functional design aid for future network management system requirements. | |
Abstract | The project addresses how best to intelligently use new kinds of data from low carbon network development, in our analytical, design, planning and network management areas. For example data will become available to potentially be able to bring up a real time geospatial picture overlaying a whole number of variables such as current power consumption, customers off supply, wind and solar conditions, typical customer load profile, asset age and condition, and state of customer restorations (obtained from smart meter readings, weather data, asset management systems, and trouble management systems). The question of how best to manage and store / not store the data is of special interest. An important part of ascertaining how to make best use of the new data lies in understanding how data is currently used within DNOs; what is necessary to fulfil statutory and regulatory requirements; and what kinds of core functions can be / might have to be enhanced by the new data. As well as identifying and assessing the data, representation technologies and the potential benefits, a prototype will be implemented to demonstrate potential practical applications. A GIS will be used to represent data taken from LV monitoring of substations and statistical load allocation methods will be used to provide estimates where there are gaps in the data.Note : Project Documents may be available via the ENA Smarter Networks Portal using the Website link above | |
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 | 14/12/18 |