Data Analysis

Metering a building is only a means to an end of course, with the objective being to understand building performance, report on key metrics, and identify savings opportunities – all of which is achieved through data analysis.

Data analysis covers a wide spectrum in terms of the physical levels – what is being monitored – and the level of granularity and reading frequency of the data captured.


Analyis levels and data

Typically, the more granular the monitoring is, the more detail is available in the data captured. Portfolio or building managers and tenants should have as a minimum access to annual readings – e.g. via utility bills – for core metrics such as electricity, gas etc at building level. The more granular the submetering is within the building(s), the more insights can be gained on performance and savings opportunities.


Portfolio level
  • Minimum data available: Annual consumption for core metrics such as electricity and gas, floorspace, type of buildings & use
  • Optional data (ideal case): Monthly / weekly / half hourly data for core metrics, in addition to water and waste. Occupancy data – e.g. monthly averages
  • Analysis options: Portfolio level consumption, portfolio benchmarking across same type of buildings (e.g. offices, retail), trends over time, incl year-on-year and month-on-month comparisons
  • Insights that can be gained: Overall consumption, cost and high level performance over time. Best and worst performing buildings. Relation to occupancy levels (where data available)


Building level
  • Minimum data: Annual consumption for core metrics such as electricity and gas, building configuration, layout and floorspace
  • Optional data: Consumption for core metrics at floor level or for main building zones (e.g. landlord / tenant areas), monthly / weekly /daily / half hourly readings for above metrics, in addition to water and waste
  • Analysis options: individual building consumption, benchmarking against external standards (national / industry), outliers in year-on-year, month-on-month etc trends
  • Insights: Overall building performance compared to industry benchmarks, floor level benchmarking and correlation with building use and occupancy, consumption trends


Subsite/Circuit level
  • Minimum data: Circuit level data for e.g. lighting, small power (plug loads), heating and cooling; Half-hourly reading frequency or higher
  • Optional data: Granular circuit & subsite level data (e.g. lighting for corridors on floor 1), additional metrics such as temperature etc
  • Analysis options: Compare main uses such as lighting vs heating/cooling vs. plug loads etc – trends and outliers, baseline, weekday/weekend consumption
  • Insights:Operating efficiency and performance of min consumption items


Equipment level
  • Minimum data: Data for main equipment such as pumps, fans, boilers, chillers, elevators etc; Half-hourly reading frequency or higher
  • Optional data: Sensors for occupancy, temperature, air quality, illuminance
  • Analysis options: meter based analysis, load curves, outliers, regression etc
  • Insights: Full insights into operating efficiency at all times and in all areas of building; possibility to fully validate specific savings measures by having full information on equipment performance, resource consumption and potential explanatory variables before and after project implementation.