Jump to the following:

By continuing, you agree to the use of cookies by us and third parties, which we use to improve your visit.

DECC predict smart meter network coverage

The Government is committed to ensure that every home and business in the country is offered a smart meter by 2020, delivered as cost effectively as possible.

What were the challenges?

  • HAN coverage at 868MHz is a function of RF transmitter power, RF receiver sensitivity, building size, meter location and local density of buildings, but there were key data gaps:
  1. Lack of data on property and building sizes.
  2. Lack of data on building density.
  • Higher transmitter powers provide greater coverage, but at additional cost. Before DECC could specify transmitter power it needed GB HAN coverage evidence to allow it to estimate the benefits (increased coverage) of different powers.
  • There was limited time to complete the project as the evidence was needed in time for an upcoming consultation milestone.

What was the solution?

Using data provided under the Public Sector Mapping Agreement (PSMA), OS supplied a tabular, spatially-derived dataset of property and building sizes and building density that allowed DECC to estimate HAN coverage statistics on a national and local scale. The algorithms created dimensions of each premises in GB as well as other data such as height, post code Density Percentile Band, Multi Occupancy Band, Building Classification, Length 2D Band, Circulatory Band (a ratio between area and perimeter), Building Height Band, and Rural Building with Outbuildings. Propagation distances derived from various HAN technologies were then used to filter the building data.

What were the outcomes?

  • DECC was able to estimate GB HAN coverage at different transmit powers and receiver sensitivities allowing it to estimate the benefits of different transmitter powers. This was fed into DECC’s wider analysis and allowed the Department to reach a position on how to implement the 868MHz HAN solution. This decision and associated technical reports can be found at:www.gov.uk.
  • OS delivered a commissioned dataset to our specifications which enabled coverage calculations at national and local scale.
  • DECC was happy with the outcome as the OS data allowed it to reach a decision in the required timescale. Any alternatives would have required many person months more effort.

The products used

Download this case study PDF – 573kB


Related case studies

Utilising the Unique Property Reference Number (UPRN) from our address data, the Department of Energy & Climate Change (DECC) works to make sure the UK has secure, clean, affordable energy suppliers.

Using datasets from OS, MK:Smart Future Cities is creating an Open Energy Map which will help identify properties suitable for sustainable energy schemes.

Back to top
© Ordnance Survey 2019