Switch ON to your energy consumption
As part of the University’s commitment to reducing its carbon emission by 30% from its 2006 baseline and in line with projects identified in the Carbon Management Plan (CMP), the University of Salford has embarked on a program to give you the tools to help achieve the ambitious target.
A key part of this is the installation of Energy Display Screens in the campus’ main buildings.
These will provide live energy consumption data, energy saving tips and energy consumption trends over time.
Many universities have started displaying their energy consumption for building users and great savings have been proven, resulting on average in 5% energy reduction.
For the University of Salford, that would equate to annual savings of 1,000tCO2 and £160,000 – all of this through a few easy actions every day!
To begin with all buildings displays will show electricity consumption and by September 2012 water and gas consumption will be shown too. Some examples of the screens' content is shown below:
The most useful graph of them all, this graph is live and displays the total energy consumed every 15 minutes by the building.
The graph also shows the profiles of the energy consumption for the previous day, the same day the previous week and the same day the previous month. These are to be used to highlight both seasonal and building use variance.
This graph is particularly useful in tackling baseload consumption (the amount of energy the building uses 24/7.)
WEEKLY & MONTHLY USAGE
Similar in appearance to the Daily Usage graph, these graphs shows the total daily consumption either over a week or over a rolling month’s basis (4 weeks’ data), along with profiles of the equivalent previous consumptions.
Theses graphs are particularly useful to detect abnormal consumption over time.
This graph is an extremely useful tool for targeting out of hours energy consumption at a glance.
The energy software automatically scales minimum consumption to blue and maximum consumption to red. In a well managed building, the “out of hours” time periods on the horizontal axis should all be in different shades of blue.
For example, in the image above, consumption levels in the mornings of the 17th – 21st of were colored green, therefore equipment was left on. This was rectified in the following week thanks to this very graph.