---
title: "Turbine Data Analytics"
ocid: "ocds-r6ebe6-0000679746"
canonical_url: "https://d3tenders.com/contract/?ocid=ocds-r6ebe6-0000679746"
markdown_url: "https://d3tenders.com/contract/ocds-r6ebe6-0000679746.md"
json_url: "https://d3tenders.com/contract/ocds-r6ebe6-0000679746.json"
source: "Public Contracts Scotland"
current_stage: "Tender"
buyer: "ORBITAL MARINE POWER"
published: "2022-01-17"
---

# Turbine Data Analytics

Buyer: ORBITAL MARINE POWER  
Current stage: Tender  
OCID: ocds-r6ebe6-0000679746

[View canonical contract page](https://d3tenders.com/contract/?ocid=ocds-r6ebe6-0000679746)  
[Download OCDS JSON](https://d3tenders.com/contract/ocds-r6ebe6-0000679746.json)

## Summary

The procurement process is led by Orbital Marine Power, a private company specialising in tidal energy generation, located at Innovation Centre, Hatston Pier Rd, Kirkwall, KW15 1ZL. The tender titled "Turbine Data Analytics" is currently in the planning stage and open for submissions until 16th February 2022. This open procedure aims to procure expertise in data science and machine learning to enhance tools for analysing O2 data streams and aid in developing future turbines. Interested bidders should note that all submissions must be made electronically via the Public Contracts Scotland website.

This tender presents significant opportunities for businesses in the fields of data science, machine learning, and engineering services, particularly those with experience in renewable energy solutions. Companies capable of developing analytics tools and software for operational control in the tidal energy sector would be well-placed to compete. With a contract duration of 120 days, successful bidders can expect to engage in a project that contributes to advancing sustainable energy technologies in the UK.

## Notice

This Invitation to Tender (ITT) relates to the procurement of expertise in data science and machine learning, to assist Orbital in developing tools used to analyse O2 data streams, with a view to incorporating these tools into existing supervisory and operational control and assist in the development of future turbines.

### Lot Information

Lot 1

This Invitation to Tender (ITT) relates to the procurement of expertise in data science and machine learning, to assist Orbital in developing tools used to analyse O2 data streams, with a view to incorporating these tools into existing supervisory and operational control and assist in the development of future turbines.. Interreg France (Channel) England Programme

## Key Details

| Field | Value |
| --- | --- |
| Publication source | Public Contracts Scotland |
| Latest notice | https://www.publiccontractsscotland.gov.uk/search/show/search_view.aspx?ID=JAN437833 |
| Notice type | PCS Notice - Website Contract Notice |
| Procurement type | Standard |
| Procurement category | Services |
| Procurement method | Open |
| Procurement method details | Open procedure |
| Tender suitability | Not specified |
| Awardee scale | Not specified |
| All stages | Tender |

## Dates

| Field | Value |
| --- | --- |
| Publication date | 17 Jan 2022 |
| Submission deadline | 16 Feb 2022 |
| Future notice date | Not specified |
| Award date | Not specified |
| Contract period | Not specified |
| Recurrence | Not specified |

## Values

| Field | Value |
| --- | --- |
| Tender value | Not specified |
| Lots value | Not specified |
| Awards value | Not specified |
| Contracts value | Not specified |

## Status

| Field | Value |
| --- | --- |
| Tender status | Active |
| Lots status | Active |
| Awards status | Not specified |
| Contracts status | Not specified |

## Buyer

| Field | Value |
| --- | --- |
| Main buyer | ORBITAL MARINE POWER |
| Locality | KIRKWALL |
| Post town | Kirkwall |
| Postcode | KW15 1ZL |
| Country | Scotland |
| ITL 1 | TLM Scotland |
| ITL 2 | TLM2 Highlands and Islands |
| ITL 3 | TLM20 Highlands and Islands |
| Local authority | Orkney Islands |
| Electoral ward | Kirkwall West and Orphir |
| Westminster constituency | Orkney and Shetland |
| Delivery location | TLM65 Orkney Islands |

## CPV Codes

### Divisions

- 48 - Software package and information systems
- 72 - IT services: consulting, software development, Internet and support

### Codes

- 48000000 - Software package and information systems
- 48460000 - Analytical, scientific, mathematical or forecasting software package
- 48461000 - Analytical or scientific software package
- 72212460 - Analytical, scientific, mathematical or forecasting software development services
- 72212461 - Analytical or scientific software development services

## Release History

- 17 Jan 2022 at 00:00 - Tender - PCS Notice - Website Contract Notice - https://www.publiccontractsscotland.gov.uk/search/show/search_view.aspx?ID=JAN437833

## Documents

- https://www.publiccontractsscotland.gov.uk/NoticeDownload/DownloadDocument.aspx?id=JAN437833&idx=1
  17th January 2022 - ITT Document
- https://www.publiccontractsscotland.gov.uk/NoticeDownload/DownloadDocument.aspx?id=JAN437833&idx=2
  17th January 2022 - Orbital Service Agreement Template
- https://www.publiccontractsscotland.gov.uk/search/show/search_view.aspx?ID=JAN437833
  Turbine Data Analytics - This Invitation to Tender (ITT) relates to the procurement of expertise in data science and machine learning, to assist Orbital in developing tools used to analyse O2 data streams, with a view to incorporating these tools into existing supervisory and operational control and assist in the development of future turbines.

## Notice URLs

- http://
- http://www.orbitalmarine.com
- http://www.publiccontractsscotland.gov.uk
- https://api.publiccontractsscotland.gov.uk/v1/Notice?id=ocds-r6ebe6-0000679746
- https://www.publiccontractsscotland.gov.uk/ESPD/ESPD_Download.aspx?id=679746
- https://www.publiccontractsscotland.gov.uk/Search/Search_Switch.aspx?ID=679746
- https://www.publiccontractsscotland.gov.uk/sitehelp/help_guides.aspx

## Provenance

This Markdown file is an alternate public rendering of the D3 Tenders contract record. The canonical page is https://d3tenders.com/contract/?ocid=ocds-r6ebe6-0000679746. The underlying structured data is available as OCDS JSON at https://d3tenders.com/contract/ocds-r6ebe6-0000679746.json.