|
Enst94 The Stella Model for Carbon Emissions |
| Home | Global Warming | The Glass Box | Energy Usage | Policy Options |
Emissions Changes and Model Manipulation
These are the graphs that our group produced with STELLA, coupled with explanations of each graph and what model changes were incorporated into its production. Click the thumbnail to go to the full-sized graph.
Population Graphs:
x-axis = time (years)
y-axis = population
This is a graph of expected population growth in
Chapel Hill with an annual growth rate of 2.1% (the current trend).
The initial population was approximately 48,000. With this in mind,
it is important to note that no change in emission rates will accomplish
our goal without factoring in substantial population control measures.
This is a graph of population growth in Chapel
Hill after the introduction of the parameter kbr. This input causes
the birth rate to approach the death rate. Our value for kbr was
0.033 – which means that the birth rate will equal the death rate in approximately
30 years.
This is a graph of population growth in Chapel
Hill after the introduction of the parameter ki. This input causes
the immigration rate (currently 1.6%) to approach zero. Our value
for ki was 1.0, implying that the immigration rate becomes 0 more or less
immediately.
Note: we do not want to count immigration against
the town. If somebody moves to Chapel Hill, they must have come from
somewhere. The real issue is not whether they will contribute to
Chapel Hill’s emissions, because they clearly will, but whether they will
emit more or less than if they had lived elsewhere. If they emit
less, then there is a net benefit to the world for having that person reside
in Chapel Hill. Recall, immigration, unlike birth, does not add people
to the world – it only moves them around.
This final population graph represents expected
population growth with both kbr and ki factors included. Population
is stabilized quickly – almost to the point of no net growth.
Carbon graphs
x-axis = time (years)
y-axis = Amount of Carbon in Atmosphere (BMT)
blue line = goal (doubling of pre-industrial levels
of carbon in Chapel Hill)
This is a graph of the amount of carbon that would
build up in our atmosphere in the absence of any population controls.
This is a graph of the amount of carbon in the
atmosphere as it will progress over the next 100 years based on population
growth controlled by the parameters kbr and ki. This is clearly nowhere
near our goal, the blue line. Therefore, changes to the sources of
these emissions are important, so we returned to the model and manipulated
several input factors to the extent that we could bring the projection
down significantly.
This is a graph of the amount of carbon in the
atmosphere over the next 100 years as projected with several parameter
changes. First off, 50% of the power supplied to the commercial and
residential sectors was changed from coal-burning sources to renewable
energy sources. This means that half of the energy Chapel Hill obtained
from the coal burning sector of Duke Power must be derived from sources
such as solar, wind, or biomass. In addition, 75% of the power supplied
to the transportation sector by oil is changed so that by our standards,
this same 75% entails the utilization of bio-diesel or other renewable
fuels by cars and buses in Chapel Hill.
This is a manipulation of the preceding graph.
The original input changes were kept, and further changes were inserted
into STELLA. In order to finally keep our atmospheric carbon below
our threshold value, energy demands were decreased significantly.
Commercial and residential power demands were cut by 65%, which means that
homes and businesses in Chapel Hill must use 65% less energy, either by
pursuing much more efficient home appliances and equipment, or by cutting
the intensity and frequency of energy-using activities.
As well, transportation demand was cut by 35%, which means that the amount of cars and buses on Chapel Hill's roadways must be decreased. This can be accomplished by a decrease in the amount of people who drive at all, or simply by increasing the number of people in each vehicle. With all of these changes added to the model, we kept the carbon dioxide concentration below the doubling of pre-industrial levels, as it is attributed to Chapel Hill.
For a detailed description of policy options that the town could implement to actually achieve the reductions that we have suggested are so vital to the control of emissions, click here.
|
Last Update: May 10, 2005 |
Karen Kaufman, Bobby O'Connor, Sarah Clark, Maceik Krzysztoforski, Joey Hester |