What are Load Profiles?

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Energy efficiency is becoming more and more of a priority for many businesses, for a variety of reasons. It has been shown time and time again that the best way to manage energy usage and achieve targets is through effective monitoring. However, effectively monitoring energy generates a vast amount of data – and making sense of this data can be a real challenge for many building managers. A great solution to this problem is load profiles – a convenient way to view data, from which actionable insights can be gathered.


What is a Load Profile?

A load profile is a visual way of displaying data, showing how energy is used in a building over time. Load profiles monitor the amount of energy being used at regular intervals and then displays this data in a bar graph. Typically, these intervals are either one hour, thirty minutes or fifteen minutes; this way, energy managers get a good overview of energy performance throughout a given day.

What makes load profiles so effective is the distinctive shape, or ‘profile’ the bars make, as they present an accurate and informative way of understanding how energy is being used throughout the day.

For example, a typical load profile for a large retail outlet would have a recognisable profile. Energy usage would be low during the night when the outlet is closed, and then gradually increase as the outlet opens and staff start arriving. Energy usage would normally remain fairly consistent during the opening hours of the outlet, before decreasing as the store closes and staff leave. This profile might look something like this:

Load profile example

As you can see, the increase and decrease in energy usage is fairly uniform, and this is one of the most useful aspects of load profiling; any irregularities in energy usage would be immediately obvious.


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The volumes of data now available from buildings and their services can truly be categorised as ‘big building data’. The advent of this data has opened up huge opportunities to provide accurate advanced analytics, allowing building managers and operators to predict and pre-empt problems that degrade a building’s operational efficiency and energy performance. Of course, being able to make sense of this data in an accurate, insightful way is just as important. Get in touch with AXON to discover how we can utilise big data to improve your building performance and save your business money on operational costs.

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