In this section of the final essay, electricity
consumption in the URS building will be considered to identify potential areas
of electricity wastage. URS is one of the academic buildings of the University
of Reading. At the moment, this building operates 24 hours a day as a study
space (University of Reading Sustainability Portal, 2017). In general,
electrical energy is consumed for lighting and equipment such as computers, copiers
and printers, lifts, etc., in this building.
As shown in figure 1
below, electricity consumption in this building depends on the time of day. In
general, electricity use was significantly greater during the daytime than at
night. Moreover, Harris (2017) stated that occupants have a significant impact
on energy consumption in buildings. Therefore, data for the occupants of this
building for the 16 October 2017, as taken from the University of Reading, will
be compared as independent variables using the regression analysis method against
electricity consumption to identify electricity wastage in URS.
Figure 1 presents the electricity
consumption and average occupancy in URS for 16 October 2017. The maximum
electrical energy consumption on this date was 66.5 kWh at 2 pm; at this time there
were, on average, 185 people in the building. It is not the top value for this
day. The minimum consumption of electricity amounted to 26.25 kW/Hr at half
past four in the morning when the average occupancy of building was 1. As shown in figure 1, at 6 pm approximately 121 people left the building;
however, electricity consumption did not decrease as drastically as the
occupancy of URS at this point. Despite the URS building being almost empty,
electrical power consumption was equal to 43.25 kWh at this time. At 6 pm, there
was an average of only five people still in the building, possibly only staff. The
electricity consumption was less only by 7% than that at 5:30 pm when the
building occupancy was 145 people.
After a 6:30 pm the building was almost empty, but the
electricity consumption only decreased slowly until midnight. Perhaps the
lighting and the computers were in the on position, despite the building being
When the occupancy of the
building was zero electrical consumption was equal to 27.75 kW/h, for instance at
four o’clock in the morning of 16 October, so after 6 pm on this day, if
computers and lighting that were not used were switched off as soon as the
occupancy of the building decreased significantly then the power consumption
could be reduced by 36% in the evening of this day, or by up to 15.5 kW/h.
Additionally, in this building all the lighting,
including the toilets, are turned on all day because they are being switched on
or off manually.
In order to remove the electricity waste after 6
pm on 16th of October 2017, the following can be undertaken:
to install occupancy sensors for lighting. This type of sensor can
switch on lights automatically when motion is detected and switch off when
motion is not identified (Levition, 2018). This is particularly important in
toilets and corridors.
staff should check the occupancy of the building especially in the
evening and night. If there are not many students and occupants, they should
switch off all equipment that is not being used.
to consider putting a table lamp at each study
space. Set up rules for students that
after finishing their work they should turn off such a table lamp;
to use computers which can be set to automatically turn off if they have
not been logged on to for an hour.