What energy data should a building actually collect?
For many building owners, facilities managers and estates teams, the challenge is not always getting more energy data. Quite often, it is knowing which data is actually worth collecting and what will be useful in practice.
Most buildings can generate large amounts of information, but more data does not automatically mean better decisions. If the information is too broad, too inconsistent or not linked to how the building is operated, it quickly becomes background noise.
The most useful energy data is the data that helps people understand how a building is performing, where energy is being used, where waste may be occurring and what action should be taken next. In other words, the goal is not simply to collect numbers. It is to collect information that supports better operation, better maintenance and better decision-making.
Start with the question you are trying to answer
Before deciding what data to collect, it helps to be clear about what you actually need to understand.
For example, are you trying to identify where energy is being wasted? Are you trying to understand how major plant is performing? Are you trying to compare one part of a building with another, or one site with another? Are you trying to support ESG reporting, help with tenant discussions, or improve operational control?
The answer matters, because the right data set for utility reporting is not always the same as the right data set for day-to-day building management. A building can have monthly utility bills and still have very little insight into where energy is going or why usage is higher than expected.
Useful energy data should always be tied to a practical purpose.
Start with the main utilities
At the most basic level, most buildings should have visibility of their main utility consumption.
That usually means electricity, gas and water, depending on the services present on site. Main incoming utility data provides the overall picture of building demand and is often the first step in understanding whether usage is broadly in line with expectations.
However, main meter data on its own is rarely enough. It can show how much energy or water is being used overall, but not where it is going or which systems are driving the demand. That is why, in many cases, the next step is sub-metering or more targeted monitoring.
Break out the major energy users
If the aim is to make the data useful, one of the most important steps is to separate out the major loads within the building.
Exactly what this means will vary from site to site, but it often includes key plant and services such as heating plant, chillers, air handling plant, major ventilation systems, local air conditioning, domestic hot water, lighting, landlord supplies or other high-consumption areas.
Without this level of breakdown, it is very difficult to see whether a rise in energy use is being driven by heating, cooling, ventilation, a specific plant item or a wider operational issue. Once the bigger energy users are separated, it becomes much easier to identify patterns, compare performance and focus attention where it is most needed.
From a client perspective, this is often where the data starts becoming genuinely useful rather than simply informative.
Collect data that helps explain demand, not just consumption
Energy data becomes far more valuable when it is viewed alongside the factors that influence it.
For example, knowing how much electricity or gas a building used is helpful, but it is often more useful when that information is considered alongside temperatures, plant run hours, occupancy patterns, operating schedules or indoor environmental conditions. Without that context, it can be difficult to tell whether usage is excessive, expected or driven by changing building conditions.
This is where BMS data and energy data work well together. A meter may show an increase in demand, but the operational data may explain that it is due to longer run hours, simultaneous heating and cooling, poor scheduling, or plant operating in areas that are no longer regularly used.
Useful energy monitoring is not only about measuring output. It is about understanding the reasons behind it.
Focus on the systems that clients can actually influence
In practice, the most useful energy data is often linked to systems that can be adjusted, optimised or managed more effectively.
If a building can see energy use at the level of major HVAC plant, lighting zones, local conditioning equipment or tenant areas, that information can often support practical actions such as reviewing schedules, adjusting setpoints, refining control strategies or investigating abnormal operation.
On the other hand, if the building only has one overall meter and no way of relating the usage to plant or areas, it becomes much harder to turn the information into action.
Clients do not usually need every possible point monitored. They need enough visibility to understand where meaningful operational decisions can be made.
Think about the building as it is actually used
Energy data should reflect how the building really operates, not just how it was originally designed.
This is especially important where buildings have changed over time. Office spaces, for example, are often refurbished on a speculative open-plan basis before a tenant is in place, then later subdivided with meeting rooms, cellular spaces or different occupancy densities. If the data collection strategy has not kept pace with those changes, it may no longer reflect where energy is actually being used or wasted.
The same applies where operating hours have changed, parts of the building are used very differently from others, or local plant such as FCUs or electric heating is now operating in a different pattern from the original design intent.
The more closely the data matches the real building use, the more valuable it becomes.
What clients usually want to know
From a client’s point of view, the key question is usually not how much data can be collected, but what data is worth paying attention to.
Most clients want to know where the biggest energy users are, whether systems are operating when they should not be, whether performance is improving or worsening over time, and where the most practical opportunities for reduction sit. They also want data that is credible enough to support internal reporting, tenant discussions, project decisions or wider ESG objectives.
What they usually do not want is a dashboard full of numbers that nobody can interpret or use.
That is why the best energy data strategies are normally built around clarity and action, not volume.
A sensible starting point for most buildings
For many buildings, a practical starting point is to collect:
- main electricity, gas and water consumption
- sub-metering for major plant or energy-intensive systems
- plant run hours and operating times
- key temperatures that help explain demand
- relevant environmental conditions where they influence operation
- occupancy or space use information where it affects scheduling or local plant operation
That does not mean every building needs the same level of detail, but it provides a sensible structure. Start with the main picture, then add enough breakdown and operational context to make the data useful.
Good energy data should support action
The value of energy data is not in the data itself. It is in what it allows the building team to do.
Good energy data can help identify waste, support optimisation, reveal plant running when it should not be, highlight underused areas being conditioned unnecessarily, inform refurbishment priorities and create a clearer basis for maintenance and operational decisions.
It can also help clients move away from assumptions. Instead of guessing why energy use is high, they can start looking at evidence.
That is usually where real value begins.
Final thought
The right energy data for a building is not the maximum amount of data available. It is the data that helps explain how energy is being used, where waste may be occurring and what practical action should follow.
For most buildings, that means starting with the main utilities, breaking out the major loads, and combining consumption data with enough operational context to make it meaningful.
In simple terms, a building should collect the energy data it can actually use.
Need help deciding what energy data would be most useful for your building?
If you want to improve visibility of energy use and make better use of building data, we can help review your site and identify the most practical monitoring approach.
