BTIME v1.1
Biofuel Time-Integrated Model of Emissions
Michael O'Hare1, Richard Plevin2, Jeremy
Martin3, Andy Jones2, Alissa
Kendall4, and Eli Hopson3.
1 Goldman School for Public Policy, UC Berkeley
2 Energy and Resources Group, UC Berkeley
3 Union of Concerned Scientists, Cambridge, MA
4 Department of Civil and Environmental Engineering, UC Davis
Downloads
Download the paper:
- O'Hare, M., Plevin, R. J., Martin, J., Hopson, E., Jones, A. D., & Kendall, A. (2009),
Proper accounting for time in LCA increases crop-competitive GHG deficit
relative to petroleum. Environ. Res. Lett. 4(024001).
Download the BTIME model (version 1.1, released 27 Jan 2009)
Requires Microsoft Excel or work-alike.
Abstract
The global warming intensities of crop-based biofuels and fossil fuels
differ not only in amount but also in their discharge patterns over
time. Early discharges, for example, from market-mediated land use
change, will have created more global warming by any time in the
future than later discharges, owing to the slow decay of atmospheric
CO2. A spreadsheet model of this process, BTIME, captures this
important time pattern effect using the Bern CO2 decay model to allow
fuels to be compared for policy decisions on the basis of their real
warming effects with a variety of user-supplied parameter values. The
model also allows economic discounting of climate effects extended far
into the future. Compared to approaches that simply sum greenhouse gas
emissions over time, recognizing the physics of atmospheric CO2 decay
significantly increases the deficit relative to fossil fuel of any
biofuel causing land use change.
CO2 emissions and resulting atmospheric abundance for
gasoline (25 years at 94 g CO2e MJ-1) and maize
ethanol (25 years at 60 g CO2e MJ-1 plus iLUC
discharge of 776 g CO2 MJ-1 and foregone
sequestration totaling 102 g CO2 MJ-1;
post-cultivation recovery of 50% of the lost biomass carbon over 30
years). (Click on figure to enlarge.)
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