Awarded contract

Published

Characterising Electromagnetic Fields and Impacts

6 suppliers have saved this notice.

Looks like a fit? Save this tender and qualify it in Stotles

Value

145,000 GBP

Close date

2025-02-10

Description

A Targeted Approach To Characterising EMF From Subsea Cables and Understanding Potential Impacts on Fish and Benthic Species Lot 1: The Scottish Government is seeking to award a contract to provide a targeted approach to characterising electromagnetic fields (EMF) from subsea cables and their potential impacts on fish and benthic species. The Service Provider will provide a technical but accessible review of present methods employed to characterise EMFs and their effects on species. The review will include an assessment of EMF modelling with relevant cable scenarios, methods to measure EMFs in addition to methods to assess impacts on receptive species, with a suite of associated recommendations. This contract will contribute to the overall understanding of EMF emissions and how species effects may be assessed. This is a precursor to understanding potential population level impacts. The critique of methods, and recommendations will improve subsequent efforts to experimentally assess effects on marine species and support future planning and consenting of sustainable offshore wind.

Unlock decision maker contacts.

Never miss a tender again

Get alerts, AI summaries and tools to qualify faster

Explore similar pre-tenders, open or awarded contracts

Browse open tenders, recent contract awards and upcoming contract expiries that match similar CPV codes.

East Northamptonshire District Council

25,000 GBP

Published 2 days ago

Cairngorms National Park Authority

247,500 GBP

Published 2 days ago

Cairngorms National Park Authority

247,500 GBP

Published 2 days ago

Ferrovial BAM Rail Systems

1,750,000 GBP

Published 2 days ago

Ferrovial BAM Rail Systems

750,000 GBP

Published 2 days ago

Sign up to the Stotles Tender Tracker for free

Find even more contracts with advanced search capability and AI powered relevance scoring.