Projects
Projects: Projects for Investigator |
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| Reference Number | NIA_NPG_024 | |
| Title | Autodesign: LV Connections Self-Service Tool | |
| Status | Completed | |
| Energy Categories | Other Cross-Cutting Technologies or Research(Energy system analysis) 10%; Other Power and Storage Technologies(Electricity transmission and distribution) 20%; Other Cross-Cutting Technologies or Research(Other Supporting Data) 70%; |
|
| Research Types | Applied Research and Development 100% | |
| Science and Technology Fields | ENGINEERING AND TECHNOLOGY (Electrical and Electronic Engineering) 100% | |
| UKERC Cross Cutting Characterisation | Not Cross-cutting 100% | |
| Principal Investigator |
Project Contact No email address given Northern Powergrid |
|
| Award Type | Network Innovation Allowance | |
| Funding Source | Ofgem | |
| Start Date | 01 February 2018 | |
| End Date | 01 August 2020 | |
| Duration | ENA months | |
| Total Grant Value | £1,100 | |
| Industrial Sectors | Power | |
| Region | Yorkshire & Humberside | |
| Programme | Network Innovation Allowance | |
| Investigators | Principal Investigator | Project Contact , Northern Powergrid (100.000%) |
| Industrial Collaborator | Project Contact , Northern Powergrid (0.000%) |
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| Web Site | https://smarter.energynetworks.org/projects/NIA_NPG_024 |
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| Objectives | Northern Powergrid has recently implemented an Enterprise Asset Management (EAM) system built on an Oracle database architecture. This dataset contains a rich source of data on the location and capability of the electrical assets in the ground. We have an opportunity to leverage this information and the substantial investment that it represents to facilitate a faster and more efficient, economic and consistent connections process that delivers a better customer experience. Building on this new asset we will develop an innovative, low voltage connection tool, in order to facilitate more rapid connection of electrical equipment onto the distribution network, initially to be used by connections assessors, building ultimately to be used by end-customers. The end result is that the tool will enable customers to make informed choices on the location and type of equipment they wish to connect on a (substantially) self-service basis, speeding up the process and reducing abortive connections applications. The project scope will initially attempt to encompass all LV connection design requests. As the project develops it is expected that this will be refined to a subset of typical LV design request which are particularly suited to the automated/self-service approach. The project target is to develop a system that is capable of dealing with 50% of design requests with either no or very limited intervention by scarce engineering design resource The project will be delivered in four separate phases, each acting as stage-gates for progress to subsequent stages. Stage 1 : assessment of data quality issues, identification of key design rules and assessment of feasibility of approach and production of a fully designed plan for subsequent stages. Stage 2 : Identification and assessment of appropriate and efficient algorithms to perform network assessments at LV, including modules to convert raw network data to CIM and from CIM to a DEBUT-style assessment tool where deemed necessary. Stage 3 : Phased pilot introduction and implementation of tool, based on stage 2 outcomes, to internal users. To include rollout testing, user feedback, modification and post development. Stage 4 : Development of customer-friendly online connections tool. Building on the beta testing phase of the internal connections tool produced in stage 3, we will scope out and deliver a tool with an appropriate feature set for customer self-service use. This will be web enabled/on-line where at all possible. Part of the earlier project phases is to define the stage 4 tools scope in more detail, however, we would expect, although cannot commit to, the main output of the tool to: Assist the user in accurately specifying the capacity required by guiding them through connections options and main technology options. This will lean on the work done to date on online connections but also include new technologies such as EV charging, home energy storage, PV etc; Using the capacity requirement details, display the desired location and show existing network assets with a guide to their ability to service the new requirement; Provide estimates of connection cost to the user, as a guide, and within some defined level of error. | |
| Abstract | NULL | |
| 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 | 14/12/22 | |
