Abstract
A method is presented for estimating the global warming impact of forest
biomass life cycles with respect to their functionally equivalent
alternatives based on fossil fuels and non-renewable material sources.
In the method, absolute global warming potentials (AGWP) of both the
temporary carbon (C) debt of forest biomass stock and the C credit of
the biomass use cycle displacing the fossil and non-renewable
alternative are estimated as a function of the time frame of climate
change mitigation. Dimensionless global warming potential (GWP) factors,
GWPbio and GWPbiouse, are derived. As numerical
examples, 1) bioenergy from boreal forest harvest residues to displace
fossil fuels and 2) the use of wood for material substitution are
considered. The GWP-based indicator leads to longer payback times, i.e.
the time frame needed for the biomass option to be superior to its
fossil-based alternative, than when just the cumulative balance of
biogenic and fossil C stocks is considered. The warming payback time
increases substantially with the residue diameter and low displacement
factor (DF) of fossil C emissions. For the 35-cm stumps, the payback
time appears to be more than 100 years in the climate conditions of
Southern Finland when DF is lower than 0.5 in instant use and lower than
0.6 in continuous stump use. Wood use for construction appears to be
more beneficial because, in addition to displaced emissions due to
by-product bioenergy and material substitution, a significant part of
round wood is sequestered into wood products for a long period, and even
a zero payback time would be attainable with reasonable DFs.
Original language | English |
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Pages (from-to) | 369-386 |
Journal | Mitigation and Adaptation Strategies for Global Change |
Volume | 17 |
Issue number | 4 |
DOIs | |
Publication status | Published - 2012 |
MoE publication type | A1 Journal article-refereed |
Keywords
- Forest biomass
- bioenergy
- wood products
- climate impacts
- GWP factors
- biogenic C dept
- displacement of fossil GHG emissions
- material substitution
- pulse response model