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As part of the ERIS programme we are looking to understand where projects need access and knowledge of common datasets and services that will help to unlock the potential of the smart local energy systems.

The Catapult has previously reported on how the existing energy system and organisations are fragmented, how few examples of centralised data repositories or co-ordinated exchange methods exist and how important it is for innovators to be able to find and extract data to analyse and interpret it in new ways (Energy Data Review: https://es.catapult.org.uk/news/energy-data-review ).

Where we identifying and where the catapult has datasets and data services that are useful, and also working with others to make datasets available.

This guide addresses, at a high level, the system challenge of data siloes. Successful future business models require good data to design propositions, validate assumptions and provide confidence to investors that the energy system will behave predictably enough to deliver the returns they expect.

This guide complements and builds on this initial report, and signposts innovators in the Prospering from the Energy Revolution (PFER) Programme Designs and Demonstrations phases to data that relates specifically to smart local energy systems. It is a relatively high-level collection of data sources, informed by Catapult experts experienced in modelling and researching datasets for energy innovation, and references both Catapult and externally owned data, as well as platforms that may hold data that is pivotal to business model designs.

This guide does not cover every data source that exists, but provides an initial, central guide to what appears to be most relevant. It includes data relating to non-network assets, national (prices, future energy scenarios, weather), consumers, networks, buildings and transport; as well as a general directory of potentially useful data platforms.

The data sources are grouped into six key data categories:

  1. Non-network assets: data relating to key non-network assets including their flexibility potential, typical times of use and geographical locations.
  2. National: a broad range of national data including prices, future energy scenarios and weather.
  3. Consumer: three datasets have been identified that focus on capturing key socio-demographic features at either household or at regional level.
  4. Network: focussing on electricity, gas, heat, micro-generation and storage. Data includes current asset locations, capacities, connections and demand. There is also data relating to roads and land boundaries.
  5. Building: includes a large range of data sources and has been broken down into domestic and non domestic buildings. Across both of these areas the focus is on building classification, energy use, energy efficiency and carbon emissions.
  6. Transport: data identified has a strong emphasis on electric vehicles including location of fast chargers, charging patterns and network constraints, as well as broader data relating to road traffic.


About this dataset

Last Update
Created 2 years ago, updated 2 months ago
Licence
Brief Description We are identifying where the catapult has datasets and data services that are useful, and also working with others to make datasets available.
RIBA Stage
  • 1 - Preparation and Briefing
  • 2 - Concept Design
Plan of Work Card Project Environment
Knowledge Type Knowledge