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

Active
25-781International

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The University of Portsmouth Higher Education Corporation is seeking a provider for the supply, installation, and operation of an occupancy sensor and monitoring solution across an initial set of campus buildings. This initiative aims to replace inaccurate manual registration and scheduling data with granular, real-time and historical room-level occupancy and headcount data. The primary objectives are to reduce energy waste by optimizing heating, lighting, and ventilation and to improve space planning and estate investment decisions through evidence-based utilization data. The required solution must include a web-based reporting portal and integrate with the university's existing data analytics environment. This solicitation, numbered 25-781, has an estimated value of 1,350,000 GBP including VAT. The contract is scheduled for a primary term from January 2027 to January 2030, with two optional 12-month extensions that could extend the performance period to January 2032. The procurement follows a competitive flexible procedure consisting of a Pre-Qualification Questionnaire evaluation followed by an Invitation to Tender bid and pricing evaluation. Award criteria are weighted at 70 percent for quality and 30 percent for cost. The deadline for submissions is October 12, 2026.

General Info

University of Portsmouth seeks occupancy sensor provider for 1.35M GBP through January 2032.

Agency

University of Portsmouth Higher Education CorporationView Agency

NAICS

561621 - Security Systems Services (except Locksmiths)View NAICS

Place of Performance

GBR

Set-Aside

NONE

Documents

(1)

2026/S 000-087083: Occupancy Sensor and Monitoring Solution

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Organization & Contact Information

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AgencyUniversity of Portsmouth Higher Education Corporation
Contacts1 person available
OfficeN/A
Organization / Agency
University of Portsmouth Higher Education Corporation
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Office AddressN/A

Full Description

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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.

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