Waste Digital Twin - Modelling Delivery
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Source: Open Contracting Data Standard (OCDS)
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 mech
- Status
- Prospective
- Sector
- Water Supply and Storage, Waste Processing and Treatment
- Location
- United Kingdom
- Updated
- 3 Nov 2026
- Source
- Open Contracting Data Standard (OCDS)
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Tender Information
Participants
| Not available for this record. |
Status
Original status | planning |
Taiyo status | Prospective |
Taiyo last update | 2026-11-03 |
Contact
| Not available for this record. |
Description
Description | 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. |
Location
Country | United Kingdom (UK) |
Source
Source | Open Contracting Data Standard (OCDS) |
URL |
More Details
Record type | Tender |
Sector | Water Supply and Storage, Waste Processing and Treatment |
Article published date | 2026-04-02 |
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