The right air filters could get you there.
LCC Lite is a proprietary Camfil tool used for short, guided conversations. In under two minutes, you’ll see 30,000-foot view of your program’s potential — how much labor could be reallocated, how much you could save in filter and energy costs, and how much CO₂ you could cut through optimized performance.
It may be fast, but it’s far from simple. LCC Lite is built on the same foundation as Camfil's LCC 3.0 and backed by decades of laboratory testing, thousands of field measurements, and continuous refinement — all collected by the world’s foremost experts in air filtration: Camfil.
Our LCC Lite analysis is the starting point. A Camfil air filtration expert performs this quick exercise for you, revealing what’s possible and whether a deeper analysis could deliver even greater returns. In just minutes, this handheld tool will show how optimizing your air filtration program can free up valuable labor hours, reduce filter and energy costs, and quantify CO₂ reductions to support your ESG and LEED goals.
Our Camfil expert will walk you through the results — revealing immediate, actionable insight.
Camfil introduced filter life-cycle costing software in the early nineties. Over the years, It has evolved to include data from hundreds of filters, both Camfil and competitive. The latest version, Camfil LCC Green, considers filter efficiency, filter life, filter change labor, filter cost, and disposal costs and allows for varied inputs for all of these factors plus the largest filter expense, energy usage. The program data is based upon real-life data collected at facilities worldwide for real-world results as opposed to theoretical calculations.
Although behind-the-scenes calculations are intricate, the inputs are relatively simple. They include filter efficiency (with selection choices based upon recommendations from cognizant authorities) and cost parameters for the filter, labor, energy and disposal costs. There is even input criteria with guidance to enter the specific air quality parameters for a geographic area base upon data from cognizant authorities such as the United States Environmental Protection Agency (EPA).
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