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Supply, Installation and Operation of an Occupancy Sensor and Monitoring Solution

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In brief

University of Portsmouth Higher Education Corporation is procuring the supply, installation, and operation of an occupancy sensor and monitoring solution in the United Kingdom, with an estimated value of 1350000 GBP. The deadline for submission is 19 October 2026. The contract duration is 36 months. The notice, tender documents, and submission instructions are available on the find-tender.service.gov.uk portal.

Updated October 09, 2026

Deadline
7 days left
October 19, 2026
Contract Details
Category
Open Procedure
Reference
093059-2026
Value
£1,350,000
Location
Hampshire and Isle of Wight, United Kingdom
Published
October 04, 2026
CPV Code
Project Timeline

Tender Published

October 01, 2026

Deadline for Questions

October 12, 2026

Submission Deadline

October 19, 2026

Contract Start Date

January 03, 2027

Key facts

Estimated value
£1,350,000
Deadline
7 days left
CPV Code
35125100 — Sensors
Procedure
Competitive flexible procedure
Lots
Divided into lots
Budget
£1,350,000
Duration
36 months
Location
Hampshire and Isle of Wight
Type
Open Procedure

Original Tender Description

The University of Portsmouth operates from a multi-building urban campus in the centre of Portsmouth, with a diverse estate comprising teaching spaces, laboratories, offices, research facilities, student services and social spaces. The University does not currently have a systematic, data-driven understanding of how its buildings and rooms are used. Timetabling data tells us when spaces are scheduled, but not whether anyone is in them, or how many people are present compared to room capacity, and whilst we monitor attendance in certain sessions this relies on physical registration by identity card and reader resulting in a high degree of inaccuracy. This gap has two practical consequences: • Energy waste: spaces are being heated, lit and ventilated regardless of whether they are occu-pied. Without occupancy data, the University cannot identify which spaces are consuming energy unnecessarily or target interventions effectively. • Space planning based on assumptions: decisions about room allocation, timetabling, and future estate investment are made without reliable utilisation evidence. The University needs accurate, granular data to make better decisions about how its estate is used. The University seeks to address both problems by deploying an occupancy sensor and monitoring solution across an initial set of campus buildings. The solution will provide real-time and historical data on room-level occupancy and headcount, accessible through a web-based reporting portal and integrated with the University's existing data analytics environment.

Risk Analysis

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Basic Requirements

  • Company registration in EU required
  • Proven track record in similar projects
  • Financial stability documentation

Documents

3 documents available with AI summaries

OCDS RecordDOC
093059-2026_ocds_record.json

No summary available for this document.

OCDS Release PackageDOC
093059-2026_ocds_release.json

No summary available for this document.

Official PDF VersionPDF
093059-2026_official.pdf

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