PE3 Blue Light Innovation
Complete · United Kingdom
Source: Open Contracting Data Standard (OCDS)
This requirement is for the delivery of a production-ready digital planning tool that enables emergency services (Police, Fire and Rescue, and Ambulance Trusts) to effectively plan and deliver the decarbonisation of their vehicle fleets and operational estates. The solution must support strategic electrification planning, improve visibility of electricity network headroom, and reduce the likeliho
- Status
- Closed
- Sector
- Solar, Energy Storage, Electric Vehicles (EVs), Automotive, Power Generation (CCGT)
- 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 | complete |
Taiyo status | Closed |
Taiyo last update | 2026-11-03 |
Contact
| Not available for this record. |
Description
Description | This requirement is for the delivery of a production-ready digital planning tool that enables emergency services (Police, Fire and Rescue, and Ambulance Trusts) to effectively plan and deliver the decarbonisation of their vehicle fleets and operational estates. The solution must support strategic electrification planning, improve visibility of electricity network headroom, and reduce the likelihood of unnecessary or premature network reinforcement, while embedding the operational resilience requirements unique to blue light organisations. The requirement builds directly on the outputs of the completed Phase 1 innovation activity, which validated user need, defined functional and non-functional requirements, and produced tested wireframes and user journeys with engagement from over 60 emergency service organisations. The scope of this commission is therefore delivery focused, translating those agreed designs into an operational system rather than rerunning discovery or design activity. Core Functional Requirements: The supplier is required to deliver a minimum viable product (MVP) that provides an endto-end planning journey for a defined set of emergency service sites, including: - A guided workflow enabling users to model fleet electrification, estate electrification, and associated load impacts. - Visibility of site-level electrical capacity and network headroom, including constraint indicators and reinforcement triggers. - Scenario modelling to assess different decarbonisation pathways, including: - ICE-to-EV fleet replacement logic, charger sizing and charging profiles. - Specialist vehicle considerations. - Heat pump, solar PV, battery storage and smart charging options. - Indicative costs, timescales, and lead-time estimates to support funding, business case development, and connection decisions. - Portfolio-level aggregation to support roadmap development and prioritisation (post-MVP expansion). Technical and Delivery Requirements : The solution must: -Be delivered as a logically separate, multi-tenanted application built on the existing UKPN ChargePoint Navigator platform and infrastructure, enabling interaction with UKPN systems such as Smart Gateway, NetMap, Autoquote and connection application services. - Configure and extend existing backend services, data models and APIs to operationalise the agreed wireframes. - Integrate multiple datasets, including estate data, fleet data, and network capacity information, with appropriate validation, error handling and feedback mechanisms. - Comply with UK Power Networks' cybersecurity, information governance, and Azure hosting requirements, including agreed authentication and SSO arrangements. - Be designed from the outset for replication, scale, and transition to business-as-usual (BAU) The MVP must be production-ready by March 2026 to meet project and customer timelines and to generate evidence for wider rollout decisions. |
Location
Country | United Kingdom (UK) |
Source
Source | Open Contracting Data Standard (OCDS) |
URL |
More Details
Record type | Tender |
Sector | Solar, Energy Storage, Electric Vehicles (EVs), Automotive, Power Generation (CCGT) |
Article published date | 2026-04-02 |
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