EnTrak Assignment
Assume that you are the energy manager for Strathclyde University and that you have to prepare
an energy report on the halls of residence with a view to upgrading
the heating systems in the older halls. Write a short report (2-3 pages)
detailing the performance of the residences and showing the benefits
of upgrading heating plant. Email the results to your course tutor.
Notes:
1) Select the university dataset and define a scope for the
residences (note you will have to use the entity type (re: residences) and district (JA: John Anderson)
option in setting the scope). You should have 10 residences.
2) For the period January 2000 to December 2000
identify the residences with the smallest and largest gas and
electricity consumption. Based
on an electricity cost of 7p/kWh and gas cost of 1.4p/kWh determine which building
was the most expensive to fuel.
- The 3D view technique gives you
an indication of the energy performance of individual entities as well as a good
insight of energy use patterns of aggregated entities. Use a 3D data file 'strath_3d_2000_gas.csv' available in
c:\esru\entrak\sample_data\3d_data. You can build a data table by typing the file
name in the data querying field of the '3D pattern analysis' user interface (i.e.
select * from strath_3d_2000_gas.csv). To set up the
attributions for colours, shape, spin, choose 'entity_type'
for all.
- You can use the West Scotland region for the appropriate degree-day climate data.
- Typical gas consumption for
higher education residential buildings in UK is 230 kWh/m2.yr
and electricity is 85 kWh/m2.yr. Note that you will need to extract the energy
consumption and floor areas to work out the normalised consumption - the information is
not currently available directly from EnTrak.
- The regression graph of energy
and degree-days has the following three principal features:
- the intercept, i.e. the point where the line cuts the energy axis at zero
degree-days, shows the minimum energy consumption that is not related to
weather;
- the gradient of the line indicates how much the weather affects the energy
consumption;
- the scatter (degree of dispersion of the data points in the graph) can be quantified by a
correlation coefficient and gives an indication of the extent to which the
energy use in a building is governed by weather.
3) The boiler in James Blyth
Court was replaced in August 2002. Was this work effective in reducing energy consumption?
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