Open Closing in a 7 days

Waste Digital Twin - Modelling Delivery

Descriptions

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.

Engagement

Severn Trent is looking for Modelling Partners to develop and deploy Waste Digital Twins across our wastewater treatment sites, helping reduce emissions and build a scalable optimisation platform for AMP8. Suppliers are invited to participate in Preliminary Market Engagement Deep Dives by using the following link - https://forms.office.com/Pages/ResponsePage.aspx?id=mR5c4eN7XEmXjuynuOqfMdOg6qb_i4tMg8rLczPa1BJURTEyT0o3OU04SU1BMkZWWkVLQldSS0FOUi4u https://forms.office.com/e/TEsfmfxzDp All responses are highly confidential and shared only internally. Thank you so much for sharing your time to fill this survey.

Timeline

Published Date :

5th Feb 2026 Yesterday

Deadline :

13th Feb 2026 in a 7 days

Contract Start :

19th May 2026

Contract End :

1st Nov 2029

Keywords

data modeling

IT data vault

digital storage

keystroke entry

offsite storage

data mining

form population

systems analysis

digit keying

coding services

systems aid

data encoding

data archiving

data acquisition

KPI evaluation

IT systems

data entry

IT support consulting

software integration

systems assistance

ecological surveillance

biodiversity monitoring

solution architecture

numeric typing services

cloud data storage

manual record input

embedded capture systems

regression forecasting

field data collection

sensor input processing

technical IT consultancy

pollutant tracking

requirements analysis

compliance monitoring

database updating

performance benchmarking

segmentation analysis

digital solutions

software programming

enterprise software

statistical inference

dynamic input collection

software consultancy

soil testing programs

application software

multivariate analysis

real-time data intake

survey form reading

tech advisory services

application engineering

electronic backup

correlation studies

database preservation

hosted storage systems

packaged applications

hybrid support services

machine-readable capture

secure file retention

computing guidance

environmental trend analysis

ecosystem health monitoring

air and water quality monitoring

non-construction environmental sampling

spreadsheet data insertion

professional tech consultation

exploratory data analysis

custom software development

analog-to-digital data recording

software package and information systems

administrative input support

long-term data safekeeping

operational support advisory

automated field data capture

telemetry data collection

technology troubleshooting consultancy

Tender Lot Details & Award Criteria

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Workflows

Status :

Open

Procedure :

N/A

Suitable for SME :

N/A

Nationwide :

No

Assign to :

Tender Progress :

0%

Details

Notice Type :

PIN

Tender Identifier :

IT-378-246-T: 2024 - 001

Tenderbase ID :

310724019

Low Value :

£100K

High Value :

£1000K

Buyer Information

Address :

Liverpool Merseyside , Merseyside , L13 0BQ

Website :

N/A

Procurement Contact

Name :

Tina Smith

Phone :

0151 252 3243

Email :

tina.smith@shared-ed.ac.uk