Complex Consumption Analysis
Most utilities only ever address a few common consumption issues. The rest remain hidden – masked by consistent consumption and regular billing.
‘Sales maximisation’ or ‘revenue assurance’ teams tend to target specific known issues such as properties missing from the billing system, accounts mislabelled as void or inactive, or meters recording zero consumption.
Complex Consumption Analysis is the only way to get to the really tough stuff - the issues that go unnoticed without a detailed understanding of the site.
We look at the problem from a different perspective.
We take the time to truly understand how commercial properties consume water and energy. We figure out what facilities and processes are on site, and the likely demand on each of them. We then compare our calculated usage to each property’s billed usage (which we know from our cut of utility company data that’s been cleansed by some clever filters and data-cleansing algorithms).
This process reveals partially billed properties – the ones that only come to light because they’re consuming less than expected. It also highlights hidden leaks and inefficiencies – problems you only know exist once you realise that usage is above what’s expected.
We’re about understanding consumption and demand to an unrivalled level of detail for each and every site.
Some service providers claim to use the same processes we do. But they’re simply benchmarking – looking at the spread of usage in a given sample and checking for outliers, or correlating consumption against a few key variables, like the number of bedrooms in a hotel.
When we look at a hotel, we’re not just interested in the basics. We also want to know about:
- All the facilities – pools, gym, spas, saunas, restaurants, bars. Does it do its own laundry? Is the golf course 9-hole, 18-hole, championship?
- The processes used – does the air-cooling system use a water or air-based heat exchange? Is the air-con controlled in individual rooms, or on a global setting? Are the public urinals manually flushed, automatic, or timed?
- Demand drivers – does it host conferences or weddings? How often and how big? Are the restaurant and gym facilities open to the public?
- Interrelationships – what impact does the golf course have on restaurant covers? By how much do guests staying for a wedding increase demand in the health spa? How many more toilet flushes are caused by a large conference?
We capture and model this detailed understanding in sector consumption models across hundreds of commercial sectors, each of which can include hundreds of variables. We then use smart techniques to automate the collection of the important variables, while using our equations to accurately calculate the rest. If there’s something critical missing, we get into the detail and fill in the gaps manually.
This gives us a huge database of commercial properties, all with accurate calculations of average daily consumption. If our calculation for a property is higher than what’s billed, we know something’s wrong and we send our technicians to check it out. On the flip side, a site that’s paying a lot more than expected could signal a serious leak, incorrectly setup meter or inefficient devices or processes which need to be sorted out.