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Displaying LCA Results using GIS
Life Cycle Assessment looks at the entire life cycle of a
product, extending from acquiring the materials to recycling. These processes
occur in certain locations (e.g. vehicles are assembled in Detroit, etc.); we
can assemble these spatial data into a Geographic Information System (GIS) and
show where these processes occur on a map of the globe with the help of GIS
software. This research uses ArcGIS to portray where life cycle inventory
materials and energy flows occur. Specifically, I have been working on a
case study modeling the life cycle of the PEM fuel cell vehicle. Technologies
such as the PEM fuel cell vehicle are not yet commercially available; by
incorporating GIS into LCA, we can reveal where:
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materials will be extracted and moved for processing
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emissions will occur
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how maintenance components might be managed
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jobs might be created or lost
Fuel Cell Example
Fuel Cells Fuel cells convert chemical energy directly into
electricity. Because there is no intermediate conversion into mechanical energy,
the fuel cell is more efficient than the internal combustion engine. In
addition, the fuel cell is very clean; its only emissions are electricity, heat,
and water if pure hydrogen is used as the fuel. However, there are emissions
during other stages of the fuel cell’s life cycle; one of the purposes of doing
an LCA is to determine what these emissions are.
The Proton Exchange Membrane (PEM) fuel cell is the most
promising type of fuel cell for automotive applications because it has a high
power density, can operate at low temperatures, has a relatively quick start-up,
and can quickly vary its power output.
As shown in Figure 1, individual fuel cells are combined into a
fuel cell stack of the desired power. An individual PEM fuel cell consists of
two seals, two flow field plates, and a Membrane Electrode Assembly (MEA). The
MEA contains two gas diffusion layers and two platinum catalyst layers
surrounding the electrolyte, the proton exchange membrane.
Figure 1. PEM FC Hardware

I began with a sample problem on the cycle of graphite in the
fuel cell vehicle to determine a good way to work with the data. Considerations
for developing the approach to work with the data included ease of use, ability
to update, and ability to expand to include the life cycles of other systems.
Producing maps to display the data entailed Learning how to use ArcGIS
Developing the relational database behind the maps Acquiring data on where the
processes occur Assigning geographical coordinates to the locations based on zip
code, city, state, or country, depending on the precision of the data on the
facility and on the availability of geographical coordinates to match that data.
Maps showing the following stages of the Graphite and Platinum
Cycles throughout the life cycle of the PEM fuel cell vehicle are shown below:
acquiring the materials, producing the components of the fuel cell, assembling
the fuel cell stack, assembling the vehicle, using the vehicle, and recycling
the materials.
This research has shown that life cycles can be successfully
modeled using GIS. the life cycle of the PEM fuel cell vehicle has been
successfully Furthermore, the database can be extended to include the life
cycles of other systems. In addition to the graphite and platinum cycles in the
fuel cell vehicle, the life cycle of the fuel, hydrogen, is particularly of
interest. A next step is therefore to model the life cycle of hydrogen. Further
work could include adding quantitative data, such as percentages of platinum
mined in different countries. Additional research opportunities lie in:
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optimizing transportation and storage systems throughout the
life cycle
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citing materials processing, manufacturing, maintenance, and
recycling facilities
Erica Peterson, an undergraduate researcher in the UWME DFE Lab,
led
this project which is being funded by the Washington Space Grant Program
and the Ford Corporation.
For
more information, contact Associate Professor Joyce Smith Cooper at
cooper@me.washington.edu