Published date: 23 August 2024

Closed opportunity - This means that the contract is currently closed. The buying department may be considering suppliers that have already applied, or no suitable offers were made.


Closing: 23 September 2024, 12pm

Contract summary

Industry

  • Software programming and consultancy services - 72200000

  • Systems and technical consultancy services - 72220000

  • Software integration consultancy services - 72227000

    • Software consultancy services - 72266000

Location of contract

Any region

Value of contract

£150,000

Procurement reference

20240823170712-72814

Published date

23 August 2024

Closing date

23 September 2024

Closing time

12pm

Contract start date

16 October 2024

Contract end date

31 March 2025

Contract type

Service contract

Procedure type

Open procedure

Any interested supplier may submit a tender in response to an opportunity notice.

Contract is suitable for SMEs?

Yes

Contract is suitable for VCSEs?

No


Description

The project objective is to extend real-time plasma control frameworks with uncertainty quantification (UQ) to increase resilience.

Plasma control systems must operate reliably. They have tight real-time performance constraints and must work across a range of parameter space in which adapting effectively to the response of the highly non-linear plasma is critical. Modern approaches to control problems recognize the importance of quantifying uncertainty and applying systematic treatment to optimise results. The project seeks to apply state of the art thinking from the field of uncertainty quantification to build new capabilities in plasma control software frameworks.

In general, there is scope to make control systems more resilient and to better characterize and control operational risks by applying UQ methods in plasma control system.
Example objectives could include studies of the variable performance of control systems as a function of actuator response variability, either static, or time varying (the latter including short term and long term drift).
Approaches could be first principles based on parametric knowledge of behaviours from models, and/or empirical inferring statistical variability from data.
Another direction of interest is applying UQ to control of systems with uncertain dynamics and building robust solutions even in the absence of detailed models.

UKAEA require the provision of staff with strong knowledge and experience of the theory and techniques in modern uncertainty quantification to work in close cooperation with UKAEA research and development staff for a period running from contract award until March 31 2025.

Reserved Procurement (UK only)
In line with Procurement Policy Note 11/20, UKAEA is reserving the right to participate in this procurement to organisations who are based within the UK.


About the buyer

Contact name

Charlotte Byrne

Address

Culham Campus
Abingdon
OX14 3DB
ENG

Email

charlotte.byrne@ukaea.uk

Website

www.gov.uk/government/organisations/uk-atomic-energy-authority