
A holistic, life-cycle-based approach to HVAC design is becoming essential for the future of pharmaceutical facilities. Modern digital tools now make it easy to evaluate complete life cycle performance, allowing users to quickly compare different system options. This comprehensive view consistently leads to HVAC solutions that are far more energy-efficient and cost-effective than traditional selection methods.
Many critical sectors like the pharmaceutical production environments require very high levels of air cleanliness, stable temperatures and humidity, and reliable system performance. At the same time, companies face increasing pressure to reduce energy use and operating costs. However, decisions about air-handling units (AHUs) are still often based mainly on nominal data and initial investment costs. This traditional approach ignores important factors such as real operating behaviour, local climate conditions, part-load operation, energy prices, and differences in design concepts. As a result, many opportunities for saving energy and money are missed.
Life Cycle Assessment (LCA) and Life Cycle Costing (LCC) tools make it possible to analyse the full life cycle of a system—from installation to long-term energy use and CO₂ emissions. In this presentation, several AHU concepts designed for pharmaceutical applications are compared to show how design changes—such as higher heat recovery efficiency or improved fan performance—affect energy demand and lifecycle costs. The results also show how important it is to select the right system for each specific project and location.
The examples clearly demonstrate that LCA- and LCC-based planning not only identifies technically suitable solutions but also highlights the best ecological and economic choice. With the Eurovent Guideline 6/19-1, the calculation method is now even standardised, making results easier to compare across manufacturers.
In summary, holistic life cycle evaluation—supported by easy-to-use digital tools—should become the new standard for HVAC planning in the pharmaceutical industry. It enables operators, designers, and manufacturers to consistently choose the most efficient, cost-effective, and sustainable system for each project.


