Blog

HVAC Talk of the Week: Performing a Pareto Analysis

Join our Energy Engineer Ruben as he delves into the captivating world of HVAC engineering, and discusses why it's important perform a Pareto Analysis on your optimal design.

How do you determine your optimal hydronic design? Every HVAC design is unique, and for every project, the most optimal solution is very dependent on you specific set of key performance indicators. You might be looking for a solution with the lowest operation costs, or you might want the lowest investment cost. At the same time, you might also be looking at the system that reduces your carbon emissions the most. Ideally, you want all three of them to be true.

However, those key performance indicators very often contradict each other and therefore trade offs have to be made. To this end, we use a Pareto Analysis: for every system we consider to design, we determine the impact on our key performance indicators. The Pareto Analysis then shows us a Pareto front of the optimal designs. Choosing your optimal design then becomes a question of which KPI you value the most.

Of course, the output of you Pareto Analysis is very dependent on your design input. The question therefore becomes: how to you determine which design to use, and how do you calculate their impact on your KPIs?

Tune in to watch the video now, and discover how the Hysopt software can help you determine the optimal design, while assisting you in your engineering process.

READ ALSO

The State of HVAC 2026

Discover the 6 key HVAC trends for 2026 in this e-book packed with data-driven insights and actions to help you stay ahead in the changing market.

Download your copy today and see what no HVAC engineer can afford to ignore in 2026.

the state of hvac 2026 hysopt ebook

Ready to validate HVAC performance before construction?

Use Hysopt to simulate hydronic systems, compare design scenarios and reduce oversizing risk.

Explore more

Modern data center building exterior, representing resilient cooling infrastructure and redundant cooling water network design.
Blog

How Redundant Cooling Changes Data Center Water Sizing

Discover how redundant cooling changes data center water sizing and how dynamic simulation helps validate flow, pressure, pumps, valves and failover conditions.
Network cables connected to data center infrastructure, representing high-density computing and the growing demands on data center cooling systems.
Blog

How Rack Density Complicates Hydronic Data Center Cooling

Discover how higher rack density complicates hydronic data center cooling and how dynamic simulation helps validate flow, pressure, controls, redundancy and liquid cooling.
High-density data center server racks, representing hydronic cooling requirements, thermal management and reliable cooling infrastructure.
Blog

High-Density Data Center Hydronic Cooling Guide

Discover how high-density data centers impact hydronic cooling design, from higher flow demands and liquid cooling to controls, redundancy and thermal risk.