The NOA is a licence obligation under National Grid’s System Operator (SO) role which has come from the Integrated Transmission Planning and Regulation (ITPR) project. We have published the second NOA publication at the end of January 2017. This also starts the consultation period for the NOA methodology.
2016/17 NOA publication
The 2016/17 NOA publication describes the options that the Transmission Owners (TOs) have provided to meet capability requirements on the GB electricity transmission system proposed by our Electricity Ten Year Statement (ETYS) which can be found here. The publication identifies the options that the SO recommends the TOs further develop for this investment year. The development of these options will help the TOs to deliver the right options at the right time to ensure the GB transmission network is fit for the future.
The 2016/17 NOA publication is now available to read here.
In addition to recommending onshore investment, the 2016/17 NOA also features interconnection analysis. The outcome of this market analysis will be to measure the benefits of further European interconnection and to propose an optimum interconnection level to maximise those benefits.
Network Options Assessment 2016/17Contact us
We are keen to receive feedback for the 2016/17 NOA to further improve the publication to meet your needs. If you would like to contribute to the evolution of NOA, please provide feedback here.If you would like to be notified of future NOA publications and its associated methodologies then please register for updates using the form on the right
We have created an archive for previous NOA Publications and the first NOA IC Report. You can find them by clicking here.
The latest version of our NOA methodology was published last September and you can view it using this link. Now that we have published the 2016/17 NOA, we are in the process of reviewing our NOA methodology and we are looking forward to seeking your feedback to our improvements in late April 2017.
As the NOA is derived from the Network Development Policy, the two methodologies are similar. You can find a copy of our original NDP methodology here.
The NOA methodology includes the Strategic Wider Works (SWW) methodology.
In addition to the NOA Methodologies, we have our Offshore Wider Works (OWW) methodology that is current. You can see the methodology by clicking here.
As offshore wind projects become larger and, more complex and a greater distance from shore, there is opportunity to improve co-ordination and integration of offshore transmission infrastructure. This methodology sets out a route for such projects to be taken forward. As always, we are interested in your feedback and suggestions for improvement and you can contact us on firstname.lastname@example.org.
For NOA 2016/17, we have transitioned from using a tool developed in-house, named ELSI (Electricity Scenario Illustrator), to a model procured externally to undertake electricity market and long-term constraint forecasts of the network. This new model is called BID3, it is retailed by Pöyry Management Consulting (www.poyry.co.uk), who have enhanced BID3 to include a Balancing Mechanism re-dispatch for Great Britain, thus allowing users to model the impact of GB transmission networks and calculate constraint costs, which we do for the purpose of Cost Benefit Analysis in the NOA.
A report that explains why we needed to move from ELSI to a new model, why we chose BID3, what we will use the model for and how we ensured the model is the most economic and efficient solution for current and future work, is available here.
BID3 has been extensively benchmarked against ELSI. Two independent reviewers (Professor Keith Bell, University of Strathclyde and Dr Iain Staffell, Imperial College London) were appointed to review our development work, BID3 configuration and benchmarking. A copy of their report is available here.
For reference you can download a version of our previous optimisation model ELSI by clicking here. Commercially sensitive data has been removed, so the user is free to populate it with their own data set.