Etex UK Insulation Ltd. Ursa cavity wall insulation. Ursa Cavity Batt 32 insulation for partial fill application. Product sheet 4

Certificate 25/7449

British Board of Agrément, 2025
Etex UK Insulation Ltd. Ursa cavity wall insulation. Ursa Cavity Batt 32 insulation for partial fill application. Product sheet 4 Download document

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Current

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Core Supplement

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Certificate

Abstract

Relates to a lightweight, non-combustible, unfaced glass mineral wool batt for use as partial fill thermal insulation in external masonry cavity walls, maintaining a minimum residual cavity of 50 mm. Suitable for domestic and non-domestic buildings without height restrictions, with additional requirements for buildings above 25 metres. Key factors assessed include thermal performance, water resistance, condensation risk, fire behaviour, durability, and compliance with updated Building Regulations covering energy efficiency, sustainability, and nearly zero-energy building standards.

History

22nd October 2025 edition.

Subjects

  • Building structure
  • Cavity wall insulation
  • Walls/masonry/cavity walls

Publisher History

The British Board of Agrément have been providing authoritative and independent information on the performance of building products for over 40 years. The certificates they produce contain data on durability, installation and compliance with Building Regulations.

Information

NBS

NBS has produced specification systems and information products for construction industry professionals for more than 40 years. The National Building Specification is the recognised UK national standard and is used by over 5,000 organisations. NBS is part of RIBA Enterprises Ltd.

Accuris

We connect trusted knowledge to customers' workflows – mitigating risk, increasing efficiency and accelerating innovation For more than 60 years, leading R&D and engineering-intensive organizations have relied on us to achieve on-time, on-budget delivery of complex projects and new products. We deliver an unparalleled combination of technical content and Artificial Intelligence (AI) technologies to surface answers from the vast universe of technical knowledge, both inside and outside the organization. In a single interface, we connect the dots between information scattered across many different sources, allowing technical professionals to make better, more informed decisions faster.