The indicator you start from
A site’s total annual consumption says almost nothing, because it confuses size with efficiency: a thousand-square-meter flagship will always consume more than an eighty-square-meter corner store. The indicator that makes sites comparable is specific consumption, that is, the kilowatt-hours consumed in a year divided by the square meters of floor area.
It’s the starting point, not the finish line: two identical stores in Sicily and Piedmont are not comparable without correcting for climate, and neither are two stores with different opening hours.
Orders of magnitude by format
They serve to place a site, not to certify it. The truly useful value is the one calculated on your own chain, because it already embeds the plant choices and the specific formats of the brand.
| Format | Indicative specific consumption | Heaviest item |
|---|---|---|
| Clothing and accessories | 150 - 300 kWh per m² per year | Lighting and HVAC |
| Perfumery and beauty | 200 - 350 kWh per m² per year | Lighting, often very intense |
| Pet, home, and general goods | 100 - 250 kWh per m² per year | Lighting |
| Supermarket and food retail | 400 - 700 kWh per m² per year | Refrigeration, by far |
| Bar and coffee shop | 500 - 1,000 kWh per m² per year | Refrigeration and counter equipment |
| Fast food | 700 - 1,500 kWh per m² per year | Kitchen, then refrigeration and ventilation |
| Care homes and residences | 200 - 350 kWh per m² per year | HVAC and domestic hot water |
How to read these ranges. They are wide on purpose. Being inside the range doesn’t mean being efficient, it means being normal: within the same format, the best sites often sit below the lower bound. The comparison that really counts is between your own sites, not against the sector average.
The two corrections without which the comparison misleads
Climate. Heating and cooling demand is measured in degree days, an index that adds up how far the outdoor temperature deviated from a reference threshold over the season. Dividing consumption by the degree days of the area lets you compare sites in different cities, and compare different years without being fooled by a mild winter.
Opening hours. A store in a shopping mall open on Sundays too works many more hours than a street store closed on Mondays. Dividing by annual opening hours removes that difference and leaves only the one that depends on equipment and management.
The method, in five steps and a spreadsheet
You don’t need a platform for the first pass. You need twelve months of energy bills and the site master data.
- Lay out in columns, for each site: format, square meters, city, weekly opening hours, annual consumption in kWh.
- Calculate specific consumption, that is, kWh divided by square meters, and then the per-opening-hour version.
- Group the sites by format and by climate zone, because comparing a coffee bar with a shoe store leads nowhere.
- Within each group, calculate the median and each site’s percentage deviation from its own group’s median.
- Sort by deviation: sites more than twenty-five percent above the median are the first ones to look at.
The two signals worth more than the benchmark
The night-to-day ratio. How much the site draws when it’s closed, relative to how much it draws when it’s operating. It’s the number that exposes HVAC that never goes into setback mode, signage with no schedule, and cases left uncovered. It requires no external benchmarks: the comparison is the site against itself.
The spread between twin sites. Two stores of the same format, same floor area, same climate zone, and similar hours should consume similarly. When that doesn’t happen, the cause is almost never the equipment: it’s the way it’s used. And it’s the difference you recover fastest, because it requires no investment, only rules applied the same everywhere.
From symptom to cause
Once the outlier sites are isolated, the consumption profile almost always tells you where to look.
| What you see | Where to look first |
|---|---|
| High, flat consumption, day and night | HVAC or ventilation that never switches to setback mode |
| Deviation appearing only in summer | Cooling setpoints too low, or an oversized unit performing poorly at partial loads |
| Deviation appearing only in winter | Electric heating or backup resistance heaters kicking in more than expected |
| Sharp peak at opening | All systems starting in the same minute, instead of being staggered |
| Night consumption above a third of daytime | Something not switching off: signage, uncovered cases, air handling units |
| Two twin sites very different from each other | Not the equipment but how it’s used: manually set schedules, overrides never reverted |
What to do with the list, once you have it. The outlier sites shouldn’t all be fixed at once. You take the two or three with the largest deviation and verify where it comes from: undersized or poorly adjusted equipment, schedules that don’t match the actual ones, or staff habits. The three causes are corrected in different ways and at very different costs.
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Sources and disclaimer
Indicative ranges drawn from sector technical literature and field experience with multi-site chains. They should be calibrated on your own chain's actual data before being used as an internal reference. Informational document: the ranges shown constitute neither a regulatory nor a contractual reference.