05.03.2015 Views

Energy Consumption in Tertiary Buildings in Sweden - Case-study

Energy Consumption in Tertiary Buildings in Sweden - Case-study

Energy Consumption in Tertiary Buildings in Sweden - Case-study

SHOW MORE
SHOW LESS

You also want an ePaper? Increase the reach of your titles

YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.

Load [kWh/h]<br />

400<br />

350<br />

300<br />

250<br />

200<br />

150<br />

100<br />

50<br />

0<br />

12 13 14 15 16 17 18 19 20 21 22 23 24 1 2 3 4 5 6 7 8 9 10 11<br />

Time [h]<br />

Average October week days<br />

Thursday 20th - Friday 21st<br />

Figure 10: Comparison between the electricity load curve of the week days average <strong>in</strong> October 2011 and the day<br />

of the test<br />

Two ma<strong>in</strong> reasons could expla<strong>in</strong> this result. The first one could be that not<br />

many people followed the <strong>in</strong>structions and they did as any other day, go<strong>in</strong>g home<br />

without turn<strong>in</strong>g off the non-essential appliances. The second, and probably the most<br />

important, is that the measures taken by AH are too rough. There is only one meter for<br />

the whole build<strong>in</strong>g, except for Max-lab, a big laboratory located <strong>in</strong> the build<strong>in</strong>g but<br />

completely <strong>in</strong>dependent. Therefore any action <strong>in</strong> users’ habits can be hardly<br />

appreciated <strong>in</strong> the meter measurements, s<strong>in</strong>ce that only represent a small part of the<br />

total build<strong>in</strong>g load as it has been expla<strong>in</strong>ed before.<br />

Measures taken and evaluation of effectiveness<br />

No measures to change consumers’ behaviour were possible to be taken. This<br />

goal could not be reached and the Thesis had to be focused on the <strong>study</strong> of how<br />

energy is used by employees. The ma<strong>in</strong> reason was the impossibility to analyse the<br />

changes <strong>in</strong> the load curve. As it has been expla<strong>in</strong>ed, the measures taken by AH are too<br />

rough to see significant differences <strong>in</strong> the load curve when consumers’ change their<br />

habits. Any difference <strong>in</strong> a load curve before and after apply<strong>in</strong>g a measure <strong>in</strong> this field<br />

couldn’t have been considered as a result of the measure itself. Hence, with the<br />

current system of measures, with one meter for the whole build<strong>in</strong>g, it is not possible to<br />

perform a <strong>study</strong> on the effectiveness of behaviour change measures on the use of<br />

energy.<br />

20

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!