This public procurement record has 2 releases in its history.

TenderUpdate

28 Feb 2024 at 11:18

Award

28 Apr 2023 at 12:24

Summary of the contracting process

The United Kingdom Atomic Energy Authority has initiated a tender process titled "SBRI Competition: Fusion Industry Challenges Cycle 1 Phase 2" in the services category. This competition aims to address fusion energy challenges through two key priority areas. The competition is at procurement stage and involves developing solutions for accelerating fusion power plant design and reducing fuel requirements. The completion date for this phase of the competition is set for 2024-02-28.

This SBRI competition presents opportunities for businesses specializing in research services to contribute innovative solutions to fusion energy challenges. Companies offering services related to digital tools for fusion power plant design and advanced production technology for hydrogen isotopes are well-suited to compete in this tender. The United Kingdom Atomic Energy Authority is the buying organization overseeing this procurement process.

How relevant is this notice?

Notice Title

SBRI Competition: Fusion Industry Challenges Cycle 1 Phase 2

Notice Description

This is a Small Business Research Initiative (SBRI) competition funded by the UK Atomic Energy Authority. The aim of the competition is to develop solutions to fusion energy challenges in two key priority areas. The competition has two themes. 1. Accelerating fusion power plant design with next-generation digital tools 2. Reducing fusion power plant fuel requirements with advanced production and handling technology for hydrogen isotopes This is phase 2 of the competition. All successful phase 1 applicants are invited to this further competition.

Lot Information

Accelerating fusion power plant design with next-generation digital tools

A Pre-Commercial Procurement Activity under SBRI Accelerating fusion power plant design with next-generation digital tools To meet Net Zero targets, there is not enough time for traditional Design-Build-Test-Learn (DBTL) approach for fusion power plants. Increasing emphasis will be placed upon emerging innovation from in silico engineering design: Exascale artificial Intelligence era Digital Thread platform * beyond current Product Lifecycle Management * endures for the lifetime of the product (100 years) * low-code * time efficient * scalable * enable and promote automation * enable design integration and accelerate the product development lifecycle Optimise the extraction of information and knowledge from experiment and simulation Text update 19 May 2021: we have changed the detail below to clarify what we are looking for in applications. * data science for experiment and simulation automation and optimisation * decisions based upon all prior data rather than tacit knowledge * dramatically improve extraction of information from data * surrogate models and emulators * improve extrapolation of simulation and empirical data

Reducing fusion power plant fuel requirements with advanced production and handling technology for hydrogen isotopes

A Pre-Commercial Procurement Activity under SBRI Reducing fusion power plant fuel requirements with advanced production and handling technology for Hydrogen isotopes Tritium is a radioactive isotope with a half-life of around 12 years, because of this natural reserves are scarce. Developing techniques for safely and efficiently managing hydrogen isotopes is an essential step in the path to making fusion a commercial energy source, for example: * Hydrogen Isotope Separation Technologies * improving efficiency of tritium and hydrogen systems (e.g. pumps, sealants, inner loop) * waste management and decommissioning * development of on-line Tritium production measurement (e.g. Raman spectroscopy) * tracking and location of hydrogen, e.g. Atom probe tomography, Raman spectroscopy * Storage and delivery of Tritium

Procurement Information

Pre-Commercial Procurement under SBRI. Not subject to Public Contract Regulations 2015.

Publication & Lifecycle

Open Contracting ID
ocds-h6vhtk-03c50f
Publication Source
Find A Tender Service
Latest Notice
https://www.find-tender.service.gov.uk/Notice/006363-2024
Current Stage
Award
All Stages
Tender, Award

Procurement Classification

Notice Type
Tender Notice
Procurement Type
Standard
Procurement Category
Services
Procurement Method
Limited
Procurement Method Details
Award procedure without prior publication of a call for competition
Tender Suitability
Not specified
Awardee Scale
Large, SME

Common Procurement Vocabulary (CPV)

CPV Divisions

73 - Research and development services and related consultancy services


CPV Codes

73110000 - Research services

Notice Value(s)

Tender Value
Not specified
Lots Value
Not specified
Awards Value
Not specified
Contracts Value
£5,669,171 £1M-£10M

Notice Dates

Publication Date
28 Feb 20242 years ago
Submission Deadline
Not specified
Future Notice Date
Not specified
Award Date
1 Mar 20233 years ago
Contract Period
Not specified - Not specified
Recurrence
Not specified

Notice Status

Tender Status
Complete
Lots Status
Cancelled
Awards Status
Active
Contracts Status
Active

Contracting Authority (Buyer)

Main Buyer
United Kingdom Atomic Energy Authority
Contact Name
Available with D3 Tenders Premium →
Contact Email
Available with D3 Tenders Premium →
Contact Phone
Available with D3 Tenders Premium →

Buyer Location

Locality
ABINGDON
Postcode
OX14 3DB
Postcode Area
Oxford
Country
England

Major Region (ITL 1)
TLJ South East (England)
Basic Region (ITL 2)
TLJ1 Berkshire, Buckinghamshire and Oxfordshire
Small Region (ITL 3)
TLJ14 Oxfordshire CC
Delivery Location
TLJ South East (England), TLJ1 Berkshire, Buckinghamshire and Oxfordshire, TLJ14 Oxfordshire CC

Local Authority
South Oxfordshire
Electoral Ward
Sandford & the Wittenhams
Westminster Constituency
Didcot and Wantage

Supplier Information

Number of Suppliers
7
Supplier Names

Aqsorption Limited

Cage Capture Limited

Full Matrix limited

Gencoa Limited

IS-Intruments

University of Bristol

University of Manchester

Open Contracting Data Standard (OCDS)

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