Projects
Projects: Projects for Investigator |
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| Reference Number | NIA_WPD_034 | |
| Title | Next Generation Wireless Telecoms Analysis | |
| 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 | ENGINEERING AND TECHNOLOGY (Electrical and Electronic Engineering) 100% | |
| UKERC Cross Cutting Characterisation | Not Cross-cutting 100% | |
| Principal Investigator |
Project Contact No email address given Western Power Distribution |
|
| Award Type | Network Innovation Allowance | |
| Funding Source | Ofgem | |
| Start Date | 01 September 2018 | |
| End Date | 01 October 2019 | |
| Duration | ENA months | |
| Total Grant Value | £259,901 | |
| Industrial Sectors | Power | |
| Region | South West | |
| Programme | Network Innovation Allowance | |
| Investigators | Principal Investigator | Project Contact , Western Power Distribution (100.000%) |
| Industrial Collaborator | Project Contact , Western Power Distribution (0.000%) |
|
| Web Site | https://smarter.energynetworks.org/projects/NIA_WPD_034 |
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| Objectives | Project will be delivered over a 12 -13 months period in 4 overlapping phases below: - Project initiation and mobilisation; - Refine designs and services; - Optimisation - Analysis and Close Down (Analyse results, evaluate Next Generation Wireless Telecoms solution)The project will be delivered by JRC with support of the WPD Project Manager working in collaboration with personnel from Surf Telecom. A detailed scope shall be established contractually between the two parties at the Project Plan agreement phase (Milestone 1). The Project Manager shall ensure that all deliverables are met within the timeframe. The project will build on an existing WPD telecommunications trial by expanding from a single site trial into a full network design. This will require: - Estimating what are the key parameters and the resolution of their values to calculate the data volume from each point to be monitored; and - The total number of points on the network requiring communications and their geographic disposition. - RF Coverage design based upon existing WPD sites employing eLTE technology (TDD / FDD). Establishing Power Density at sub stations and distribution poles for data communications and taking into account electrical systems operational requirements.These data flows will be turned into a geographic data traffic profile in order to establish radio network capacity. This will allow radio channel bandwidth options to be derived to support asset visibility and control on a location by location basis.Having determined an idealised network model, sophisticated radio planning tools (referencing International technology standards), terrain height databases and clutter data will be utilised to envision the underlying radio network capable of delivering this service. The radio traffic requirements will be overlaid on a database of existing WPD radio base stations to create a practical implementation of the radio network required to deliver the desired capacity and coverage.In order to undertake this modelling, the initial assumption will be to use eLTE technology currently being trialled by WPD. The Project will be centred on the WPD license areas in order to establish the traffic characteristics and operational communication needs of both planned and anticipated Smart Grid deployments. Once the traffic profile and area of service have been established the network modelling will produce a Radio Network Design that will; - Define the scale of equipment and infrastructure deployment necessary; - Determine the performance characteristics that can be sustained in a robust and resilient manner; - Characterise the functionality available to enable Smart Grid operations; - Identify the amount and characteristics of radio spectrum needed; - Network Design Learning can be leveraged across other use cases and DNO areas; | |
| Abstract | ED networks face unprecedented challenges. More and more distributed generation is embedded in their networks, much of it intermittent and at the edges of the networks, with significant increases in loading, driven by electrification of transport and heat as the UK seeks to reduce greenhouse gas emissions. Re-enforcement of the networks has traditionally been the response but at significant cost and disruption. Alternatively, making the networks more intelligent and responsive can often delay or even avoid such investments, minimising the cost and disruption to customers.The key to the intelligent energy network of the future is enhanced visibility of the network assets in real time, allied to secure and fast switching to ensure a rapid response to changes in the energy supply dynamic. This will | |
| Publications | (none) |
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| Final Report | (none) |
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| Added to Database | 09/11/22 | |
