Waste Digital Twin - Modelling Delivery Tender - 135169193

Procurement Summary

Country: United Kingdom

Summary: Waste Digital Twin - Modelling Delivery

Deadline: 13 Feb 2026

Posting Date: 06 Feb 2026

Other Information

Notice Type: Tender

TOT Ref.No.: 135169193

Document Ref. No.:

Competition: ICB

Financier: Self Financed

Purchaser Ownership: Public

Tender Value: Refer Document

CPV Classification

48000000 - Software package and information systems
72200000 - Software programming and consultancy services
72312000 - Data entry services
72313000 - Data capture services
72316000 - Data analysis services
72317000 - Data storage services
72600000 - Computer support and consultancy services
90711500 - Environmental monitoring other than for construction

Purchaser's Detail

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Tender Details

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 alig...

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 Tender Notice