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Home - NEWS - BAE’s Radar Triumph: Defusing Wind Farm Interference
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BAE’s Radar Triumph: Defusing Wind Farm Interference

By Admin26/03/2026No Comments2 Mins Read
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BAE wins radar deal to offset wind farm impact
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BAE Systems has secured a £95 million agreement from the Ministry of Defence to implement remedial measures designed to safeguard the efficacy of UK air defence radar systems from the effects of offshore wind farms, as reported by the UK Defence Journal.

This commission, granted within the framework of the NJORD programme, encompasses the acquisition of four remedial strategies aimed at counteracting the impairment of the comprehensive air surveillance image resulting from extensive maritime wind energy projects. The agreement was finalized on 26 February 2026 following a limited tender process which attracted four proposals.

The predicament arises from the growth of maritime wind energy generation, potentially disrupting the scope of air defence radar by diminishing the area of airspace that can be efficiently observed. This bears consequences for Britain’s capacity to identify and follow unresponsive aerial objects and facilitate rapid response alert missions.

The NJORD initiative was instituted to uphold radar efficacy with the deployment of novel wind energy facilities, concentrating on safeguarding vital observation functionalities furnished by the Royal Air Force’s distant radar infrastructure. This endeavor is overseen by the Air Defence and Electronic Warfare Systems division of Defence Equipment and Support.

BAE Systems Surface Ships Limited was chosen as the principal contractor for this undertaking, with the agreement featuring provisions for a pair of twelve-month continuations.

The initiative underscores an increasing need to harmonize the proliferation of sustainable energy with national security concerns, especially in scenarios where vital monitoring apparatus could be compromised by novel infrastructure.

IMAGE by Kim Hansen. Postprocessing (crop, rotation, colour adjustment, dust spot removal and noise reduction) by Richard Bartz and Kim Hansen., CC BY-SA 3.0, via Wikimedia Commons.


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