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Showing posts from March, 2026

Façade Accountability in the Post-Grenfell Era: Who Actually Owns the Risk?

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  The Grenfell Tower tragedy reshaped the landscape of façade accountability. Post-Grenfell, it is evident that façade systems cannot be a peripheral concern; they are central to building safety and occupant protection. Yet, in many projects, accountability remains fragmented, creating ambiguity that can have catastrophic consequences. Boards, owners, consultants, and contractors must understand precisely who owns what risk across the façade lifecycle. Challenges in Façade Accountability 1.      Ambiguous roles in design and installation  Architects may design for aesthetics, engineers may focus on structural integrity, and contractors may prioritize programme. Without clear contractual boundaries, no single entity takes full responsibility. 2.      Reliance on prescriptive compliance  Approved documents may indicate compliance, but without system-specific testing, they provide assumed assurance, not proven safety. 3.      Frag...

Façade Performance Gaps: What Happens Between Design Models and Occupied Buildings

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  Façade design has long relied on predictive simulations - thermal models, water penetration analyses, daylight calculations, and airflow studies - to estimate performance. Yet, once buildings are occupied, the real-world behavior of façades often diverges significantly from these models. These performance gaps can manifest as thermal discomfort, uncontrolled solar gain, acoustic intrusion, water ingress, or even premature material degradation. Understanding why these gaps exist - and how to mitigate them - is essential for owners, consultants, and boards seeking both regulatory compliance and long-term operational efficiency. Why Performance Gaps Occur 1.       Design assumptions vs. environmental reality Simulation models rarely account for microclimates, shading from surrounding structures, unexpected wind patterns, or temperature variations. These deviations can create performance outcomes far from predicted values. 2.    ...