PlanningOCID: ocds-h6vhtk-064991

Waste Digital Twin - Modelling Delivery

The Waste Digital Twins will be an end-to-end digital representation of the Sewage Treatment Works, which will allow visualisation, simulation and optimisation of the treatment processes on the site. Initially the optimisation recommendations will be manually implemented, with a view to moving towards full automation at a later date.   We are seeking partner(s) with demonstrable expertise in mechanistic and deterministic modelling, digital twin architectures, cloud‑based simulation systems, and operational optimisation. The successful partner(s) will help define and deliver the modelling Blueprint, establish a best‑practice modelling methodology, and work alongside our System Integrator(s) to develop a scalable, flexible and future‑proof Waste Digital Twin platform. Delivery will follow a phased and iterative approach: Phase 1 - Feasibility: Evaluate and recommend modelling pathways, either via mechanistic software or coded mechanistic model conversion. Phase 2- Deployment: Iteratively deploy, validate and refine Digital Twins across sites, embedding learnings and enhancements. Partners will be expected to provide specialist capability, flexible resourcing, and operational support while upskilling Severn Trent's internal teams in DataOps, MLOps and Digital Twin operations. This includes integrating modelling outputs within a wider systems architecture, supporting interim standalone solutions ahead of future integration with the Asset Data Programme, and ensuring all work aligns with Severn Trent's cyber and data governance guardrails.

Buyer
SEVERN TRENT WATER LIMITED
Contract Value
Value not disclosed
Deadline
No deadline set
Published
5 Feb 2026
Interactive

About This SEVERN TRENT WATER LIMITED Contract

This planning stage contract from SEVERN TRENT WATER LIMITED was published in 2026. The Waste Digital Twin - Modelling Delivery contract.

This UK government contract opportunity is part of the public procurement process, openly available via Find a Tender.

Contract Analytics

Key Metrics

0Match
0%
Match
50%
Urgency
30%
Value

Sector Distribution

General100%

Contract Timeline

5 Feb

Published

Current

Planning

Value Analysis

Contract value not disclosed

Market Activity

-52%

UK tender activity (12 months)

Waste Digital Twin - Modelling Delivery - Scope of Work

1 phases • 0 requirements • 8 capabilities

Project Phases

Required Capabilities

mechanistic and deterministic modellingautomationdigital twincloudplatformintegrationDatagovernance
  • The Waste Digital Twins will be an end-to-end digital representation of the Sewage Treatment Works, which will allow visualisation, simulation and optimisation of the treatment processes on the site. Initially the optimisation recommendations will be manually implemented, with a view to moving towards full automation at a later date.
  • We are seeking partner(s) with demonstrable expertise in mechanistic and deterministic modelling, digital twin architectures, cloud‑based simulation systems, and operational optimisation. The successful partner(s) will help define and deliver the modelling Blueprint, establish a best‑practice modelling methodology, and work alongside our System Integrator(s) to develop a scalable, flexible and future‑proof Waste Digital Twin platform.
  • Delivery will follow a phased and iterative approach:

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Contract Value

Fixed PriceSingle contract value agreed upfront
Value not disclosed

Key Dates

Important deadlines and milestones

UK Time

Notice Published

Tender opportunity made public on Find a Tender

Thu, 5 Feb 2026
Passed

What This SEVERN TRENT WATER LIMITED Contract Means

For Citizens

This is a public procurement by SEVERN TRENT WATER LIMITED. All UK government contracts are publicly accessible for transparency.

For Businesses

This 2026 contract is in planning. Register interest to bid when it opens.

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Market Activity

+55%

UK tender activity (12 months)

SEVERN TRENT WATER LIMITED

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SEVERN TRENT WATER LIMITED
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Quick Facts

Stage
Planning
Status
planning
CPV Codes
0

Reference ID

ocds-h6vhtk-064991

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