Continuous Measurement: Making Better Beer With IoT

Beer is a popular beverage around the world, but here in Grand Rapids, Michigan, it’s a bit more. There’s a reason Grand Rapids is known as “Beer City, USA.”

Fermentation is the name of the biochemical process where the sugars in a liquid, typically derived from grains or other organic sources, are converted to alcohol and fizz (carbon dioxide) by yeast. It’s the key to making wine, beer and hard cider. Needless to say, with 37 breweries (in 2018) and growing, there is a lot of fermentation going on in Grand Rapids. Because of fermentation’s central role in beer production, monitoring the fermentation process is important to breweries.

We’ve found many breweries use a combination of computer systems and manual samples to do this. But could these manual samples be automated and improved? That was the question we decided to look at closely.

One of the many indicators that quality assurance teams use to monitor beer is specific gravity. Specific gravity is a measurement of a liquid’s density in comparison to water. So, if a beer has a higher specific gravity than another, it means that it has a higher mass given a constant volume. As beer ferments and converts those sugars to alcohol and gas, the specific gravity falls and the beer gets less dense, eventually approaching a point where there are very few sugars left and the fermentation process slowly stops.

Monitoring Specific Gravity in Fermentation

Specific gravity indicates the stage of the fermentation; it tells you when things are on track or when it is largely complete. It also indicates when things are going wrong, like if fermentation gets “stuck” and the yeast stops consuming the sugar. There are ways to rescue a batch and kickstart fermentation, but you need to know about them. Enter automated specific gravity measurements, a perfect application of IoT’s benefits in the brewery industry.

Manual methods of measuring specific gravity have been around for ages. The goal was to explore ways to make continuous measurements with internet-connected devices. Research uncovered some innovative ways to do this, but there were two specific approaches that we found to be most promising.

Monitoring Gas Flow Through the Airlock

First was monitoring the production of carbon dioxide in the fermentation process by monitoring gas flowing through the airlock. The idea is, if you know the quantity of liquid in a vat and can track exactly how much gas is being created in the fermentation process, it is possible to then approximate the specific gravity of a liquid. As sugar is turned into alcohol and gas, this process is quite consistent and proportional. That means a certain volume of gas equates to a certain amount of sugar being consumed, and this will equate to a certain change in the liquid’s density.

When it comes to technical solutions, this approach is appealing in terms of cost. Many microbreweries already have a flexible hose that comes off the top of their fermentation tanks to direct gas into a 5-gallon bucket of water (a sort of one-way valve, preventing contaminants from making their way back through the tube into the vat). Fitting that hose with a gas flow monitor would be quite simple and cost-efficient. This assumes that monitoring liquid flow into the fermenter or approximating the amount present would be fairly straightforward.

Taking a Pressure Reading

The second was taking a differential pressure reading, that is, taking a pressure reading in the liquid at two different vertical heights. When you know the vertical distance between the two readings and the change in pressure between the two, it’s straightforward to compute a liquid’s density and specific gravity.

This second solution is great because it can be accomplished with off-the-shelf pressure sensors and no other measurement is needed, such as the volume of liquid present. However, these sensors would need to be installed by a professional welder as most fermentation tanks are made from stainless steel, thus increasing the upfront costs of such an approach.

We didn’t yet get the chance to put either solution to the test, but it’s not too early to highlight the benefits we believe brewers would see if they could embrace the IoT revolution in fermentation monitoring. Imagine automated QA, reduced manual labor, reduction in human errors, AI-powered algorithms detecting issues long before a human could, making early predictions on completion dates and even better—more consistent beer.

Well, is your beer connected?

• Consumer Products
• Fill Level Monitoring
• Food and Beverage
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• Consumer Products
• Fill Level Monitoring
• Food and Beverage
• Hardware Components
• Hospitality