Estimating Primary Substation Boundaries and the Value of Mapping the Electrical Network Infrastructure of Great Britain
Localised data aggregation in many countries including Great Britain (GB) is typically done to a geographical level with polygon boundaries that have a robust and trusted governance system in place. At a minimum this will mean there is confidence in a process to create a set of polygons that have unique identifiers coupled to geographical areas, and the ability to have these updated through a defined code of practice. Examples found across many countries are in the delivery of post, such as postcodes and zip codes, and of the definition of census areas and municipal boundaries. The confidence in these boundaries allows different data to be aggregated by third parties, which itself provides greater levels of data over comparable geographical areas to enhance wider analysis and decision making. Here we combine publicly available datasets published from the six regional electricity Distribution Network Operators of GB to produce a new geospatial dataset with 4436 unique polygons defining the areas served by electrical primary substations. An example is also presented of the use of these polygons to link postcode level open government datasets on domestic energy consumption (2015-2020) from the Department of Energy Security and Net Zero (DESNZ). This results in another dataset with energy statistics aggregated to the geographical areas served by each primary substation across Great Britain. Therefore, we believe there is a compelling argument for countries to set up processes to create and update polygons that have a meaningful relationship to energy systems. This would allow more accurate energy systems analysis to be performed, ultimately leading to an accelerated or potentially lower cost transition to a net-zero world.