Opportunity overview
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.
Classification
- CPV48000000 — Software package and information systems
- CPV72200000 — Software programming and consultancy services
- CPV72312000 — Data entry services
- CPV72313000 — Data capture services
- CPV72316000 — Data analysis services
- CPV72317000 — Data storage services
- CPV72600000 — Computer support and consultancy services
- CPV90711500 — Environmental monitoring other than for construction
Lots
- Lot 1Value not stated
Documents and notices
- Preliminary market engagement notice on Find a TenderOpen source ↗