Discover the critical HVAC performance issues that traditional feasibility methods fail to detect — and how physics-based modelling exposes hidden risks long before renovation or decarbonisation decisions are made.
Many feasibility studies still rely on spreadsheets, simplified formulas, or rule-of-thumb assumptions. While these methods can provide a rough estimation, they mask the complex hydronic dynamics that determine whether an HVAC upgrade will actually work in practice.
Assumptions-based approaches struggle to capture flow behaviour, system resistance, part-load effects, and interactions between components. As a result, crucial performance problems remain hidden until after installation — when they become expensive to fix and frustrating for clients.
A physics-based HVAC feasibility study eliminates this blind spot. It uses a digital twin to simulate how the system behaves under real operating conditions, revealing issues long before decisions are made.
Below are performance problems that spreadsheets almost never detect — but which physics-based feasibility modelling exposes immediately.
Even small discrepancies in flow can compromise emitter performance, reduce available capacity, and trigger comfort complaints.
Inaccurate temperature drops across circuits lead to oversized pumps, poor heat pump efficiency, and unnecessary energy use.
Local restrictions, undersized pipes, and outdated components can limit system performance far more than generation assets do.
Most systems rarely operate at full load. Without modelling, part-load behaviour remains unknown, reducing predictability of energy savings.
Spreadsheets assume ideal pump behaviour. Real pump curves often reveal insufficient head or inefficient performance.
Control strategies, pressure regimes, and hydraulics interact in ways that static calculations cannot capture.
A physics-based HVAC feasibility model simulates the entire system — flows, temperatures, pressure losses, pump curves, control behaviour — across a wide range of operating conditions.
This reveals:
These insights are essential for reliable renovation and decarbonisation planning.
To understand how modelling strengthens these assessments, explore how feasibility-led engineering creates transparent performance insights ›
Hidden performance issues are one of the main reasons decarbonisation projects fail to deliver expected savings. For example:
By revealing these issues early, physics-based modelling ensures that decarbonisation plans are based on real system behaviour — not optimistic assumptions.
If you want to explore how modelling supports robust upgrade planning, discover how scenario-driven feasibility workflows reduce risk ›
When hidden performance issues come to light, consultants gain the accuracy and confidence needed to recommend the right upgrade path. Instead of discovering problems during installation, they can address them in the feasibility stage — where solutions are far easier, faster, and cheaper.
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