This tool can be downloaded as a zip file for use on a stand alone computer from here.
This tool provides guidance to the Building
Owner, Inspector and/or Auditor on the potential for reducing
the cooling demand of the building being Inspected or Audited.
It achieves this by illustrating how the RELATIVE building heating
and cooling DEMAND might be altered in percentage terms by changing
certain elements of the building design or operation.
The tool is based on outputs from the Industry-standard
ECOTECT and EnergyPlus Building Energy Modelling software tools.
The data in the CAT has been produced using a simple building
modelling approach that could be undertaken by anyone with a
knowledge of building design, building energy use and these
tools. The CAT has been produced on the assumption that the
time available to undertake an Inspection or Audit will not
allow this modelling to be done in the vast majority of cases.
The CAT does not cover all possible permutations
of criteria and parameters, but should provide a good first
guide towards the RELATIVE influence of various building aspects
on the monthly and annual heating and cooling DEMANDS.
Use of the CAT:
To assess the relative influence of selected
building criteria and parameters on the heating and cooling
energy demands in a specific building, use the input areas below
to describe as best you can the building you are inspecting
or auditing. The more accurate the information you can provide
for the building criteria in the CAT, the more useful the database
search and resulting information will be.
Once the search has been undertaken on the
data input to the CAT, the information presented in the graphs
will allow the assessor to gauge the relative importance of
each parameter to the cooling and heating demands. This information
will provide an initial guide to the assessor on which aspects
are important to reducing the cooling demand, and the effect
of changing the parameter on the heating demand as well. The
assessor can therefore state the potential % changes in cooling
and heating demands to be achieved through various actions.
Clearly it would be prudent to assess a variety of options and
variations in parameters for the building being studied to check
the sensitivity of each action to uncertainty in the input data.
King Edward VII Avenue