A Case For Higher Airflow

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In this article we’ll explore the case of why I believe we should strive for higher than nominal airflow in our designs.

The Reason

The primary reason for higher than nominal airflow is that we can provide better IAQ and better mixing, especially when we also incorporate a high MERV filter.

The Problem

I’ve struggled to find the original document that got me thinking about this topic, but I believe it was an ASHRAE publication or perhaps an EPA document, that was talking about the required ACH (Air Changes per Hour) for common rooms in residential buildings.

In this context I am not talking about ACH in terms of fresh air / ventilation. I’m talking about how many times the room air passes across the filter and is replaced with fresh / clean air.

Recommended ACH in Residential Rooms

Room TypeACH Requirements
Basements3-4
Bedrooms5-6
Bathrooms6-7
Living Rooms6-8
Kitchens6-8
Laundry Rooms8-9

An Example Home

As an experiment, I decided to do a fake load calculation of the first floor layout of my house.

floor plan

Which resulted in the following loads:

RoomHeatingCooling (Total)Volume
Entry7,6592,9161,872
Master Bedroom7,5772,0763,238
Living Room6,9456,8292,604
Bedroom-13,2882,4723,061
Kitchen3,8935,0693,913
Family Room9,1607,4462,711
Totals43,42628,02817,399

Formula

To calculate the required CFM to achieve a certain ACH the following formula can be used.

CFM=V×ACH60

Where
VThe volume of the room
ACHThe desired ACH for the room

Analyzing Design CFM vs. ACH

After the loads were done, I generated a fake Manual-D with some random duct fittings and reasonable system airflow rates for equipment that would likely be used, in order to come up with the following airflows for the rooms.

I then ran each room through the above formula to compare the results, which shows the percentages of CFM required by the ACH calculation vs. the CFM from the Manual-D design.

RoomACH - TargetCFM - DesignCFM - ACHPercent (Low)Percentage (High)
Entry6-717618794.0%70.5%
Master Bedroom5-617427064.5%53.7%
Living Room5-69221742.4%35.3%
Bedroom-16-725430683.0%62.2%
Kitchen7-819045741.6%36.4%
Family Room6-7279271102.9%77.2%

As you can see the only room that is ok is the Family Room using the lowest target. A few other rooms are moderate using the lowest target. Once we use the highest targets all rooms fail.

Note: It should be noted that on a low load home this problem would likely get worse / harder to achieve than this one where the air infiltration was set to the generic average. We also must consider that this ASSumes fan running at full speed all the time, which is simply not how modern equipment generally runs.

Solutions

One solution, would be to utilize a coil-bypass design strategy where can decouple the coil airflow from the total system airflow.

Another solution would be in-room air filter devices, such as the Comparetto Cube, or the Santa-Fe HEPA Filter.

Conclusion

Based on the example calculations done and recent designs I’ve done, it is evident that most duct designs and equipment selections are not going to meet the requirements for the recommended ACH of a room.

Modern homes and equipment are built to meet “efficiency” standards that will make this even harder to accomplish. To this point, I often feel that we just end up creating efficiency standards that just shift the energy usage to accessory devices or equipment. There is no free lunch, the fact is that it takes energy to create a safe, healthy, and comfortable indoor environment!

Duct leakage, pressure imbalances (MAD Air), and ducts outside the envelope make this more of a challenge / trade off to achieve in certain climate zones.

As an industry we can barely get simple systems right, so adding complexity doesn’t help, however I think this a valid topic to at least begin to reason / think about.

Lastly, thank you for reading through to the end. I hope that you’ve found value in this article.

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Author

Michael Housh

HVAC business owner with over 27 years of experience. Writes articles about HVAC, Programming, Home-Performance, and Building Science