Long before new data analysis tools and the internet of things (IoT) applications were the new normal, our centralized control, security, and building management system (BMS) have provided us with the support to get the feedback we needed to streamline our operations.

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Most systems process information with proprietary communication technology and then recorded it in a database to monitor and control our assets.  

 

But how can we use this information?

 

Let’s examine some of the questions.

 

1 - How many times were the doors to each area in the building opened?

 

2 - How many people moved between the different areas of the building?

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3 - Which doors remain closed the longest?

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4 - How many people remain in the room and for how long?

 

The good news is we have the answers to those questions already, and it is in our legacy system databases. 

 

If you take a closer look into your access control system database, you can find which doors were open and the frequency. Also, with the badge records, you will know how many people enter and exit the room and the occupancy load at each time.

 

If you combine this data with the one provided for the HVAC control system, you will not need occupancy predictive algorithms to reduce energy consumption and maintain indoor thermal comfort.

 

Using data analysis software, you can have an accurate occupancy model for your HVAC system set-points and achieve significant energy savings.

 

By including a good design, outside weather, and thermal isolation into the model, you will be able to achieve an environment-friendly general HVAC control application adding value to your business and saving money.

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Grilan Technologies.