As the UK transitions to Net Zero, intermittent renewable energy generation and electrification of demand will increase. This will require a change in the type and scale of energy system flexibility to ensure our energy demands and supply are balanced. These types of flexibility will sit at different locations within the energy system and will have different requirements.
This blog is based on work we carried out on local flexibility on behalf of the Department for Energy Security and Net Zero. In this work, we looked at the requirements for flexibility at different parts of the network (represented by network levels including behind-the-meter) and the technologies capable of providing this flexibility from a UK-wide perspective. This provides a different perspective to other flexibility projects that focus on individual local areas, such as specific postcodes.
We identified different flexibility technical requirements (services), network levels and flexibility technologies. We specified fourteen services across five network levels (transmission, distribution and three types of behind-the-meter connection). These services fit into three broad service categories (operational, resilience and utilisation).
We then selected 23 technologies for review that were able to provide different flexibility services at their connected network level. For each, we assessed their key parameters, such as technology readiness level, response time and storage duration. For this work, we defined flexibility services as the electricity network’s technical requirements for flexibility (e.g. frequency regulation) rather than commercial services, as these can evolve based on policy or political decisions.
We reviewed and analysed the energy system within the context of a plausible 2035 world (an increase in flexibility challenges). Given the short timeframe and the difficulty of predicting major changes, we assumed no disruptive technological breakthroughs, only incremental advancements of existing technologies.
After mapping the compatibilities between different network levels, flexibility technologies, and flexibility requirements (Figure 1), we created a flexibility matrix to represent them. The ability of a technology to provide a service at a given network level was based solely on technical parameters, not on variables like policy support and available markets, as these can often change. By focusing on technical factors, we can identify where policy and market support is needed to deliver flexibility services.
Figure one: A Venn diagram showing how the flexibility matrix maps the compatibilities between flexibility services, technology performance and network levels
In the flexibility matrix (Figure two), each cell indicates the level of compatibility between a flexibility service (row) and a technology (column). The change in compatibility between different network levels can be observed by switching between them using the navigation menu. Each matrix shows the compatibility between the different flexibility requirements and technologies at that network level. The score (-1 to 3) indicates the level of compatibility between the three components: the higher the score, the higher the compatibility. A score of -1 indicates that there is at least one major incompatibility between the components. This means the technology cannot be used for that service whilst connected at that specific network level although this does not mean that the technology will be unable to provide services at other network levels.
Note that the matrix shows the level of compatibility for a flexibility technology to provide a service when connected to a given network level, not necessarily to provide the flexibility service to that network level, although it is normally the same thing. This is most relevant for Demand Side Response (DSR) technologies which, in our matrices, appear incompatible with the Transmission and Distribution network levels: this reflects the working assumption that DSR is connected from behind-the-meter, although it may be providing a service to the transmission or distribution network.
It is also worth noting that some of the interactions between the different flexibility services cannot be fully captured by the matrix. For example, if there is more short-term flexibility then it is possible that less medium to long-term flexibility will be needed, although of course they are not complete replacements for each other.
The matrices show that: