Category: Climate
Biofuel Indirection
A new paper in Science on biofuel indirect effects indicates significant emissions, and has an interesting perspective on how to treat them:
The CI of fuel was also calculated across three time periods [] so as to compare with displaced fossil energy in a LCFS and to identify the GHG allowances that would be required for biofuels in a cap-and-trade program. Previous CI estimates for California gasoline [] suggest that values less than ~96 g CO2eq MJ–1 indicate that blending cellulosic biofuels will help lower the carbon intensity of California fuel and therefore contribute to achieving the LCFS. Entries that are higher than 96 g CO2eq MJ–1 would raise the average California fuel carbon intensity and thus be at odds with the LCFS. Therefore, the CI values for case 1 are only favorable for biofuels if the integration period extends into the second half of the century. For case 2, the CI values turn favorable for biofuels over an integration period somewhere between 2030 and 2050. In both cases, the CO2 flux has approached zero by the end of the century when little or no further land conversion is occurring and emissions from decomposition are approximately balancing carbon added to the soil from unharvested components of the vegetation (roots). Although the carbon accounting ends up as a nearly net neutral effect, N2O emissions continue. Annual estimates start high, are variable from year to year because they depend on climate, and generally decline over time.
Variable Case 1 Case 2 Time period 2000–2030 2000–2050 2000–2100 2000–2030 2000–2050 2000–2100 Direct land C 11 27 0 –52 –24 –7 Indirect land C 190 57 7 181 31 1 Fertilizer N2O 29 28 20 30 26 19 Total 229 112 26 158 32 13 One of the perplexing issues for policy analysts has been predicting the dynamics of the CI over different integration periods []. If one integrates over a long enough period, biofuels show a substantial greenhouse gas advantage, but over a short period they have a higher CI than fossil fuel []. Drawing on previous analyses [], we argue that a solution need not be complex and can avoid valuing climate damages by using the immediate (annual) emissions (direct and indirect) for the CI calculation. In other words, CI estimates should not integrate over multiple years but rather simply consider the fuel offset for the policy time period (normally a single year). This becomes evident in case 1. Despite the promise of eventual long-term economic benefits, a substantial penalty—in fact, possibly worse than with gasoline—in the first few decades may render the near-term cost of the carbon debt difficult to overcome in this case.
You can compare the carbon intensities in the table to the indirect emissions considered in California standards, at roughly 30 to 46 gCO2eq/MJ.
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ReportsIndirect Emissions from Biofuels: How Important?Jerry M. Melillo,1,* John M. Reilly,2 David W. Kicklighter,1 Angelo C. Gurgel,2,3 Timothy W. Cronin,1,2 Sergey Paltsev,2 Benjamin S. Felzer,1,4 Xiaodong Wang,2,5 Andrei P. Sokolov,2 C. Adam Schlosser2 A global biofuels program will lead to intense pressures on land supply and can increase greenhouse gas emissions from land-use changes. Using linked economic and terrestrial biogeochemistry models, we examined direct and indirect effects of possible land-use changes from an expanded global cellulosic bioenergy program on greenhouse gas emissions over the 21st century. Our model predicts that indirect land use will be responsible for substantially more carbon loss (up to twice as much) than direct land use; however, because of predicted increases in fertilizer use, nitrous oxide emissions will be more important than carbon losses themselves in terms of warming potential. A global greenhouse gas emissions policy that protects forests and encourages best practices for nitrogen fertilizer use can dramatically reduce emissions associated with biofuels production.
1 The Ecosystems Center, Marine Biological Laboratory (MBL), 7 MBL Street, Woods Hole, MA 02543, USA. * To whom correspondence should be addressed. E-mail: jmelillo@mbl.edu Expanded use of bioenergy causes land-use changes and increases in terrestrial carbon emissions (1, 2). The recognition of this has led to efforts to determine the credit toward meeting low carbon fuel standards (LCFS) for different forms of bioenergy with an accounting of direct land-use emissions as well as emissions from land use indirectly related to bioenergy production (3, 4). Indirect emissions occur when biofuels production on agricultural land displaces agricultural production and causes additional land-use change that leads to an increase in net greenhouse gas (GHG) emissions (2, 4). The control of GHGs through a cap-and-trade or tax policy, if extended to include emissions (or credits for uptake) from land-use change combined with monitoring of carbon stored in vegetation and soils and enforcement of such policies, would eliminate the need for such life-cycle accounting (5, 6). There are a variety of concerns (5) about the practicality of including land-use change emissions in a system designed to reduce emissions from fossil fuels, and that may explain why there are no concrete proposals in major countries to do so. In this situation, fossil energy control programs (LCFS or carbon taxes) must determine how to treat the direct and indirect GHG emissions associated with the carbon intensity of biofuels. The methods to estimate indirect emissions remain controversial. Quantitative analyses to date have ignored these emissions (1), considered those associated with crop displacement from a limited area (2), confounded these emissions with direct or general land-use emissions (6–8), or developed estimates in a static framework of today’s economy (3). Missing in these analyses is how to address the full dynamic accounting of biofuel carbon intensity (CI), which is defined for energy as the GHG emissions per megajoule of energy produced (9), that is, the simultaneous consideration of the potential of net carbon uptake through enhanced management of poor or degraded lands, nitrous oxide (N2O) emissions that would accompany increased use of fertilizer, environmental effects on terrestrial carbon storage [such as climate change, enhanced carbon dioxide (CO2) concentrations, and ozone pollution], and consideration of the economics of land conversion. The estimation of emissions related to global land-use change, both those on land devoted to biofuel crops (direct emissions) and those indirect changes driven by increased demand for land for biofuel crops (indirect emissions), requires an approach to attribute effects to separate land uses. We applied an existing global modeling system that integrates land-use change as driven by multiple demands for land and that includes dynamic greenhouse gas accounting (10, 11). Our modeling system, which consists of a computable general equilibrium (CGE) model of the world economy (10, 12) combined with a process-based terrestrial biogeochemistry model (13, 14), was used to generate global land-use scenarios and explore some of the environmental consequences of an expanded global cellulosic biofuels program over the 21st century. The biofuels scenarios we focus on are linked to a global climate policy to control GHG emissions from industrial and fossil fuel sources that would, absent feedbacks from land-use change, stabilize the atmosphere’s CO2 concentration at 550 parts per million by volume (ppmv) (15). The climate policy makes the use of fossil fuels more expensive, speeds up the introduction of biofuels, and ultimately increases the size of the biofuel industry, with additional effects on land use, land prices, and food and forestry production and prices (16). We considered two cases in order to explore future land-use scenarios: Case 1 allows the conversion of natural areas to meet increased demand for land, as long as the conversion is profitable; case 2 is driven by more intense use of existing managed land. To identify the total effects of biofuels, each of the above cases is compared with a scenario in which expanded biofuel use does not occur (16). In the scenarios with increased biofuels production, the direct effects (such as changes in carbon storage and N2O emissions) are estimated only in areas devoted to biofuels. Indirect effects are defined as the differences between the total effects and the direct effects. At the beginning of the 21st century, ~31.5% of the total land area (133 million km2) was in agriculture: 12.1% (16.1 million km2) in crops and 19.4% (25.8 million km2) in pasture (17). In both cases of increased biofuels use, land devoted to biofuels becomes greater than all area currently devoted to crops by the end of the 21st century, but in case 2 less forest land is converted (Fig. 1). Changes in net land fluxes are also associated with how land is allocated for biofuels production (Fig. 2). In case 1, there is a larger loss of carbon than in case 2, especially at mid-century. Indirect land use is responsible for substantially greater carbon losses than direct land use in both cases during the first half of the century. In both cases, there is carbon accumulation in the latter part of the century. The estimates include CO2 from burning and decay of vegetation and slower release of carbon as CO2 from disturbed soils. The estimates also take into account reduced carbon sequestration capacity of the cleared areas, including that which would have been stimulated by increased ambient CO2 levels. Smaller losses in the early years in case 2 are due to less deforestation and more use of pasture, shrubland, and savanna, which have lower carbon stocks than forests and, once under more intensive management, accumulate soil carbon. Much of the soil carbon accumulation is projected to occur in sub-Saharan Africa, an attractive area for growing biofuels in our economic analyses because the land is relatively inexpensive (10) and simple management interventions such as fertilizer additions can dramatically increase crop productivity (18).
Estimates of land devoted to biofuels in our two scenarios (15 to 16%) are well below the estimate of 50% in a recent analysis (6) that does not control land-use emissions. The higher number is based on an analysis that has a lower concentration target (450 ppmv CO2), does not account for price-induced intensification of land use, and does not explicitly consider concurrent changes in other environmental factors. In analyses that include land-use emissions as part of the policy (6–8), less area is estimated to be devoted to biofuels (3 to 8%). The carbon losses associated with the combined direct and indirect biofuel emissions estimated for our case 1 are similar to a previous estimate (7), which shows larger losses of carbon per unit area converted to biofuels production. These larger losses per unit area result from a combination of factors, including a greater simulated response of plant productivity to changes in climate and atmospheric CO2 (15) and the lack of any negative effects on plant productivity of elevated tropospheric ozone (19, 20). We also simulated the emissions of N2O from additional fertilizer that would be required to grow biofuel crops. Over the century, the N2O emissions become larger in CO2 equivalent (CO2eq) than carbon emissions from land use (Fig. 3). The net GHG effect of biofuels also changes over time; for case 1, the net GHG balance is –90 Pg CO2eq through 2050 (a negative sign indicates a source; a positive sign indicates a sink), whereas it is +579 through 2100. For case 2, the net GHG balance is +57 Pg CO2eq through 2050 and +679 through 2100. We estimate that by the year 2100, biofuels production accounts for about 60% of the total annual N2O emissions from fertilizer application in both cases, where the total for case 1 is 18.6 Tg N yr–1 and for case 2 is 16.1 Tg N yr–1. These total annual land-use N2O emissions are about 2.5 to 3.5 times higher than comparable estimates from an earlier study (8). Our larger estimates result from differences in the assumed proportion of nitrogen fertilizer lost as N2O (21) as well as differences in the amount of land devoted to food and biofuel production. Best practices for the use of nitrogen fertilizer, such as synchronizing fertilizer application with plant demand (22), can reduce N2O emissions associated with biofuels production.
The CI of fuel was also calculated across three time periods (Table 1) so as to compare with displaced fossil energy in a LCFS and to identify the GHG allowances that would be required for biofuels in a cap-and-trade program. Previous CI estimates for California gasoline (3) suggest that values less than ~96 g CO2eq MJ–1 indicate that blending cellulosic biofuels will help lower the carbon intensity of California fuel and therefore contribute to achieving the LCFS. Entries that are higher than 96 g CO2eq MJ–1 would raise the average California fuel carbon intensity and thus be at odds with the LCFS. Therefore, the CI values for case 1 are only favorable for biofuels if the integration period extends into the second half of the century. For case 2, the CI values turn favorable for biofuels over an integration period somewhere between 2030 and 2050. In both cases, the CO2 flux has approached zero by the end of the century when little or no further land conversion is occurring and emissions from decomposition are approximately balancing carbon added to the soil from unharvested components of the vegetation (roots). Although the carbon accounting ends up as a nearly net neutral effect, N2O emissions continue. Annual estimates start high, are variable from year to year because they depend on climate, and generally decline over time. |
Tracking climate initiatives
The launch of Climate Interactive’s scoreboard widget has been a hit – 10,500 views and 259 installs on the first day. Be sure to check out the video.
It’s a lot of work to get your arms around the diverse data on country targets that lies beneath the widget. Sometimes commitments are hard to translate into hard numbers because they’re just vague, omit key data like reference years, or are expressed in terms (like a carbon price) that can’t be translated into quantities with certainty. CI’s data is here.
There are some other noteworthy efforts:
- The Climate Analytics/Ecofys/PIK climateactiontracker
- Pew Climate tracks international, US federal and state and local initiatives
- Environment California has just launched an interactive map detailing state initiatives
- Terry Tamminen has a state climate policy tracker
- Last year, I took a look at state climate commitments and regional climate initiatives, with an eye for their use of models (see parts I, II, III)
- The Carbon Disclosure Project reports on thousands of companies
- DB reports on countries from an investor’s perspective
Update: one more from WRI
Update II: another from the UN
Climate Scoreboard widget goes live
This is a spinoff of our work with C-ROADS: a shareable tool that presents the outcome of current climate commitments in a simple way.
National Geographic takes a bath
Copenhagen Expectations
Danes
Piet Hein
(translated by a friend)
Denmark seen from foreign land
Looks but like a grain of sand
Denmark as we Danes conceive it
Is so big you won’t believe it.
Why not let us compromise
About Denmark’s proper size
Which will surely please us all
Since it’s greater than it’s small
Maybe this is a good way to think about COP15 prospects?
Companies – also not on track yet
The Carbon Disclosure Project has a unique database of company GHG emissions, projections and plans. Many companies are doing a good job of disclosure; remarkably, the 1309 US firms reporting account for 31% of US emissions [*]. However, the overall emissions picture doesn’t look like a plan for deep cuts. CDP calls this the “Carbon Chasm.”
Based on current reduction targets, the world’s largest companies are on track to reach the scientifically-recommended level of greenhouse gas cuts by 2089 ’“ 39 years too late to avoid dangerous climate change, reveals a research report ’“ The Carbon Chasm ’“ released today by the Carbon Disclosure Project (CDP).
It shows that the Global 100 are currently on track for an annual reduction of just 1.9% per annum which is below the 3.9% needed in order to cut emissions in developed economies by 80% in 2050. According to the Intergovernmental Panel for Climate Change (IPCC), developed economies must reduce greenhouse gas emissions by 80-95% by 2050 in order to avoid dangerous climate change. [*]
Of course there are many pitfalls here: limited sampling, selection bias, greenwash, incomplete coverage of indirect emissions, … Still, I find it quite encouraging that companies plan net cuts at all, when many governments haven’t yet managed the same feat, so top-down policy isn’t in place to support their actions.
More climate models you can run
Following up on my earlier post, a few more on the menu:
SiMCaP – A simple tool for exploring emissions pathways, climate sensitivity, etc.
PRIMAP 2C Check Tool – A dirt-simple spreadsheet, exploiting the fact that cumulative emissions are a pretty good predictor of temperature outcomes along plausible emissions trajectories.
EdGCM – A full 3D model, for those who feel the need to get physical.
Last but not least, C-LEARN runs on the web. Desktop C-ROADS software is in the development pipeline.
C-ROADS Roundup
I’m too busy to write much, but here are some quick updates.
C-ROADS is in the news, via Jeff Tolleffson at Nature News.
Our State of the Global Deal conclusion, that current proposals are not on track, now has more reinforcement:
- Â Juliet Eilperin at the WaPo covers Bob Correll on the new UN report.
- Another newish paper from IIASA, using the GAINS model.
- Rogelj et al. in Nature, with Halfway to Copenhagen, no way to 2 °C
Check out Drew Jones on TEDx.
Allocation Oddity
Mining my hard drive for stuff I did a few weeks back, when the Waxman Markey draft was just out, I ran across this graph:
It shows prices for electricity and petroleum from the ADAGE model in the June EPA analysis. BAU = business-as-usual; SCN 02 = updated Waxman-Markey scenario; SCN 06 = W-M without allowance allocations for consumer rate relief and a few other provisions. Notice how the retail price signal on electricity is entirely defeated until the 2025-2030 allowance phaseout. On the other hand, petroleum prices are up in either scenario, because there is no rate relief.
Four questions:
- Isn’t it worse to have a big discontinuity electricity prices in 2025-2030, rather than a smaller one in 2010-2015?
- Is your average household even going to notice a 1 or 2 c/kwh change over 5 years, given the volatility of other expenses?
- Since the NPV of the rate relief by 2025 is not much, couldn’t the phaseout happen a little faster?
- How does it help to defeat the price signal to the residential sector, a large energy consumer with low-hanging mitigation fruit?
Things might not be as bad as all this, if the goal (not mandate) of serving up rate relief as flat or fixed rebates is actually met. Then the cost of electricity at the margin will go up regardless of allowance allocation, and there would be some equity benefit. But my guess is that, even if that came to pass, consumers would watch their total bills, not the marginal cost, and thus defeat the price signal behaviorally. Also, will people with two addresses and two meters, like me, get a double rebate? Yippee!