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The data entry
section is structured in five data
input tables:
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Country data:
general financial
and economic data (that are also partially shared by the
GRIM model) and general scenario setting data (reference
year, number of forecast step, number of years by step)
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Reference data:
here it is possible
to define the number and the type of the appliances to
be simulated (MURE in principle manages every type of
appliance and
it is completely customisable) and
to input the figures
of the corresponding total stock and of the average unitary
energy consumption of the stock itself.
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Labelling distribution:
here the user
is required to input
the market split by energy efficiency categories of the
appliances sold
in the reference
year and the corresponding average unitary consumption.
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Sales:
here the user is required
either to manually input the forecast of the annual sales
of a selected appliance, by each of the years of the time
interval defined in the first input screen (country data)
or to accept the data that come from the demand forecast
module (should these data have been processed in that module).
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Pollutant:
here there are
a table where to input the specific pollutant emission coefficient
(tons per toe) of the GHG and not GHG gases:
CO2, CO, NOx, SOx, VOC, PM.
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| 1.
The data management section |
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| 2.
The scenario definition section |
| 3.
The run and output section |
