This section gives a more detailed analysis of your school’s electricity baseload and some things to look out for.
The following sections provide more background and analysis on your electricity baseload
Your baseload is high.
If you matched the baseload of other schools of the same size you would save £3,300 per year.
Your baseload over the last 12 months was 3.7 kW. Other schools with a similar number of pupils have a baseload of 1.4 kW.
Your baseload represents 50% of your annual consumption.
Each point on this chart represents the average baseload over the hours a school is closed on that day. You can click on a point in the chart and it will drill down to show you the full electricity usage on that day.
Ideally, there should be little variation in baseload between different days and seasons. If you notice unusual changes or very high baseload, you might be able to narrow down what is causing it by looking at the meter breakdown of your baseload below.
If your baseload has changed, for example suddenly increasing or decreasing, you should be able to track down and explain the cause of this change. Consider whether the school has recently purchased new equipment. A very large decrease over the summer holidays is good, it shows that appliances and equipment have been switched off. Perhaps fridges and freezers in the kitchen were emptied or consolidated. Consider how significant that drop is - if caused by switching off fridges and freezers, they might be inefficient enough to require replacement. Think about whether your school can replicate that decrease for other holidays, or even weekends.Unless the school has physically increased in size, if you are managing your baseload electricity consumption well you would expect baseload to reduce over time as appliances and computers have become more power efficient with lower standby power requirements. If this is not the case then you should look to identify the cause of the increase.
The table below shows the annual average baseload for all of the years we have data for your school.
Year | Average annual baseload (kW) | Average annual cost (£) | Average annual CO2 (kg) |
---|---|---|---|
2021 (partial) | 2.5 | £3,300 | 3,000 |
2022 | 3.6 | £4,700 | 4,400 |
2023 | 4 | £5,300 | 4,900 |
2024 (partial) | 3.7 | £5,300 | 4,400 |
You can click on the chart to drill down to individual days and work out at what times of day and year your school is doing either better or worse than these schools.
Your school has multiple electricity meters. The section below shows analysis of the baseload electricity use for each meter. You might be able to use this information to identify high energy consumption in certain parts of your school.
The table below shows a breakdown of the average baseload for your school for the last 12 months by meter.
Meter | Name | Average annual baseload (kW) | Average annual cost (£) | Change since previous year (kW) | % of total baseload |
---|---|---|---|---|---|
2200022715795 | 3 | £4,300 | -0.46 | 87% | |
2200022715810 | 0.47 | £680 | 0.058 | 13% | |
All meters | 3.7 | £5,300 | -0.36 | 100% |
At a well-managed school the baseload should remain the same throughout the year, there should be no reason why the electricity consumption at midnight on a school day should be higher in the winter than in the summer.
The most common causes of high seasonal variation are electric heating or inefficient security lights being left on overnight in winter.
The meter breakdown in the table below may help to identify where in the school, seasonal variation comes from.
Meter | Name | Assessment | Baseload in winter (kW) | Baseload in summer (kW) | % difference | Potential saving (£) | CO2 reduction (kg) |
---|---|---|---|---|---|---|---|
2200022715810 | Large variation | 1.3 | 0.35 | 260% | £170 | 150 | |
2200022715795 | Large variation | 6.3 | 2.6 | 140% | £100 | 88 | |
All meters | Large variation | 7.64 | 3.05 | 150% | £249 | 211 |
At a well-managed school the baseload should remain the same throughout the week, there should be no reason why the electricity consumption at midnight on a weekday should be higher than during the weekend.
The most common cause of weekday variation is a high energy consuming appliance which is turned on on a Monday and off again on a Friday.
The meter breakdown in the table below may help to identify where in the school, daily variation variation comes from.
Meter | Name | Assessment | Highest day baseload (kW) | Lowest day baseload (kW) | % difference | Potential saving (£) | CO2 reduction (kg) |
---|---|---|---|---|---|---|---|
2200022715795 | Limited variation | 3.3 (Monday) | 3.1 (Saturday) | 6.1% | £95 | 81 | |
2200022715810 | Large variation | 0.56 (Monday) | 0.45 (Saturday) | 24% | £76 | 64 | |
All meters | Limited variation | 4.01 | 3.75 | 6.95% | £148 | 125 |
Calculations based on Electricity consumed between 01 Apr 2021 and 25 Dec 2024
The following characteristics are used when analysing your school energy data. Temperature compensation uses weather data specific to your school's location.
Characteristic | Value |
---|---|
Floor area | 599.0m2 |
Location | TR8 5HE (-5.114262, 50.380629) |
Pupils | 185 |
Type | Primary |
Consumption costs are estimated based on historic tariff information
Future savings are estimates based on your school's latest tariff information
Potential cost savings quoted in school comparisons, e.g. for comparable "well managed" and "exemplar" schools are also based on your school's current tariffs
School comparisons are based on benchmarking your school against comparable schools based on the characteristics outlined below.
"Exemplar" schools represent the top 17.5% of Energy Sparks schools
"Well managed" schools represent the top 30% of Energy Sparks schools