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How to Run an HVAC Feasibility Study in 2 Hours: A Step-by-Step Guide for MEP Consultants

Discover how MEP consultants can complete an HVAC feasibility study in under two hours using modelling-based methods that deliver accuracy, speed, and confidence.

Why HVAC Feasibility Studies Need a Faster, More Reliable Approach

Traditional HVAC feasibility studies are often slow and assumption-heavy. Manual calculations or spreadsheets rarely capture the complex hydronic interactions that determine whether an upgrade is truly viable. Meanwhile, clients expect quick clarity on energy savings, performance improvements, and decarbonisation opportunities.

This is exactly where HVAC feasibility modelling transforms the workflow. By relying on a physics-based digital twin rather than approximations, MEP consultants can deliver a defensible HVAC feasibility assessment in as little as two hours.

Step 1: Gather the Essential Inputs

A rapid feasibility workflow starts by focusing only on information that directly influences system behaviour. Typically, this includes the system topology, design loads, major components, and temperature regimes. With these essentials captured early, you can build an initial model without waiting for detailed audits or extensive site measurements.

Step 2: Build a Physics-Based HVAC Model

With the core data defined, you construct a hydronic model that reflects how the system behaves under real operating conditions. This is where modelling surpasses spreadsheets: it reveals flow distribution, pressure drops, pump efficiency, and temperature behaviour throughout the network. Even small inefficiencies that would normally go unnoticed become immediately visible.

This modelling-first approach not only accelerates the study but also makes conclusions more credible. It shifts the feasibility assessment from estimated behaviour to evidence-based performance insight, which significantly strengthens decision-making.

Step 3: Test Upgrade Scenarios in Minutes

Once the digital twin is ready, scenario analysis becomes fast and flexible. You can instantly compare options such as introducing low-temperature heating, replacing pumps, altering controls, or integrating heat pumps.

Some scenarios often considered in quick-turnaround feasibility studies include:

  • switching to lower supply temperatures
  • upgrading generation assets
  • identifying distribution bottlenecks
  • testing control strategy adjustments

Each scenario runs in minutes, helping consultants rapidly form well-supported recommendations.

To understand how these simulations translate into actionable results, explore how feasibility modelling accelerates decision-making with Hysopt’s approac ›

Step 4: Translate System Behaviour Into Business Value

A quick study is only useful if the results are clear and actionable. With HVAC feasibility modelling, you can quantify projected energy reductions, CO₂ savings, operational cost changes, and comfort improvements. Because all metrics derive from physics-based simulation, you avoid the uncertainty normally associated with manual feasibility studies.

These quantified outcomes make feasibility results easier to communicate and far more persuasive—especially when clients must justify budgets or prioritise investments.

If you want to see how modelling supports transparent scenario comparison, explore the impact of feasibility insights on renovation and decarbonisation pathways ›

Step 5: Deliver a Clear, Evidence-Based Feasibility Report

With accurate modelling results in hand, the final step is presenting them in a concise feasibility report. This typically includes the baseline performance, the problems identified in the existing system, the tested scenarios, and the expected impact of each option.

By replacing assumptions with measurable outcomes, you offer clients not just a recommendation—but a defensible foundation for investment.

FAQ: HVAC Feasibility

How accurate is a two-hour HVAC feasibility study?

When powered by physics-based modelling, a fast feasibility study can be more accurate than traditional manual methods. The digital twin captures real hydronic behaviour, making the results reliable even on a short timeline.

What type of data do I need to get started?

Only the essentials: system topology, major equipment data, design loads, and temperature levels. Most feasibility studies can begin long before detailed audits or site surveys are completed.

Can feasibility modelling support financial decision-making?

Yes. Because simulation results quantify energy, CO₂, comfort, and operational impacts, they feed directly into budgets, ROI calculations, funding applications, and decarbonisation strategies.

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