"To measure is to know."

Lord Kelvin

So how can BTS help their customers?

Monitoring and Targeting can help achieve annual energy cost savings of between 5% and 10%, a sustained approach can typically lead to savings of 25% in annual energy costs.

We gather energy data for clients manipulate this into a format that is meaning full to them then propose and implement improvements to the building systems and control methods.

No manual input of data is required, we can utilise existing Building Management Systems to gather this data then extract it automatically or can offer a method of wirelessly gathering the raw meter data.

So how can BTS help their customers?

  • Consumption report – we can allow up to 7 different meters of the same utility to be compared over set intervals including half hourly, daily, weekly, monthly, quarterly and annually. As a result, direct comparisons over given intervals can be made for a specific meter or several meters can be compared over a specified period.
  • Billing Report – the raw consumption from the meter, multiple tariffs and standing charges are used to provide shadow bills for invoice validation based on data criteria. Can be used for sub billing for tenants or just to validate consumptions and charges.
  • Maximum Demand Report – is used to evaluate the maximum site demand over a user defined period which can assist in load shedding and can be used to confirm correct site availability / capacity.
  • Power Factor Report – highlights poor ‘power factor’ on site, which will increase KVA capacity and may result in reactive charges appearing on the bills.
  • Calendar Report – allows up to 12 user defined days from any year or month to be overlaid on one graph for comparison and validation of ‘half hourly’ profiles. This is ideal for showing the immediate impact of any energy initiatives.
  • Load Profile Report – averages out the half hourly profiles for up to 7 user defined time periods for comparison purposes.
  • Normalisation Report – displays historical normalised performance based on degree day analysis against a user defined variable such as number of people, floor area or operating hours. The report produces a historical building performance equation through regression analysis to indicate how the building performs against climate or user defined variables.

“BTS give customers the information for them to make informed choices”