Peak fossil fuels limits climate change to low-to-medium outcomes in IPCC report

Excerpts from 24 page:  Höök, M., Tang, X. 2013. Depletion of fossil fuels and anthropogenic climate change: a review. Energy Policy, 52: 797-809

Conclusion of paper:

Fossil fuel constraints will limit anthropogenic climate impact towards the low-medium outcomes presented by the IPCC reports.

There are several feedback and climate mechanisms that can potentially cause severe changes in the climate at lower CO2 concentrations than expected by the IPCC (2007). Consequently, the peaking of fossil fuels should not be seen as something that automatically solves the issue of anthropogenic climate change. Availability and future production paths will, however, put a limit on mankind’s ability to emit GHGs and this must be factored into the climate change projections. The current situation, where climate models largely rely on emission scenarios detached from the reality of supply and its inherent problems is problematic. In fact, it may even mislead planners and politicians into making decisions that mitigate one problem but make the other one worse. It is important to understand that the fossil energy problem and the anthropogenic climate change problem are tightly connected and need to be treated as two interwoven challenges necessitating a holistic solution.

Rest of paper:

Scenario probabilities in SRES (2000) presents 40 scenarios with different developments for the global energy system and the manmade greenhouse gas emissions. These scenarios are founded on literature reviews, development of emission narratives, and quantification of the narratives with the help of six integrated models from different countries. Four specific drivers for CO2 emissions, namely population; economic activity (gross domestic product or GDP) per capita; energy intensity (primary energy consumption per unit of GDP); and carbon intensity (CO2 emissions per unit of energy) are identified by the IPCC (Pielke et al. 2008). SRES illustrates that future emissions, even in the absence of any explicit environmental policies, very much depend how economies and technologies are structured, the energy sources that are preferred and how people use available land area as well as the choices that people make. IPCC claim that the scenarios “represent pertinent, plausible, alternative futures” and derive from a descriptive and open-ended methodology that aims to explore alternative futures (SRES, 2000). The emission scenarios are neither predictions nor forecasts, even though they are commonly used as such. In addition, no probabilities or likelihoods are assigned to any of scenarios since and all of them are considered equally plausible. This condition was a requirement made by the Terms of Reference (SRES, 2000). The absence of likelihoods in SRES triggered critique (Schneider, 2001; 2002; Webster et al., 2002) highlighting that decision-makers and policy analysts necessitate probability estimates to be able to assess the risks of climate change impacts resulting from these scenarios. The SRES team (Grübler and Nakicenovic, 2001) countered by claiming that social systems (important in emission scenarios) are fundamentally different from natural science systems and are largely dependent on the choices people make. Morgan and Keith (2008) reviewed available findings on scenario analyses and uncertainty and found that the “equal probability”-approach often lead to systematic overconfidence and bias. Jones (2001) concluded that equally valid scenarios cannot be realistic, since the range is due to a combination of component ranges of uncertainty, and thus the extremes of this range must be less probable than the central estimate. It has also been argued that the equal probability of each emission scenario is a rather odd postulation and even may be seen as an attempt to assign unjustifiably high weight to extreme outcomes (Höök et al., 2010a; Patzek and Croft, 2010).

Fossil fuels in the global energy system

Since the dawn of the industrial revolution, fossil fuels have been the driving force behind the industrialized world and its economic growth. Fossil energy has grown from insignificant levels in 1800 to an annual output of nearly 10 000 million tons of oil equivalents (Figure 2). At present, about 80% of all primary energy in the world is derived from fossil fuels with oil accounting for 32.8%, coal for 27.2% and natural gas for 20.9% (IEA, 2011). Combustible biomass and waste (10.2%), nuclear power (5.8%) and hydroelectric dams (2.3%) are the largest contributors to the global energy system after fossil energy, but they account for only a minor share of the global primary energy supply (IEA, 2011). Only 0.8% of the world’s primary energy is derived from geothermal, wind, solar or other alternative energy sources. More specifically, wind power accounted for only 0.2% of the global primary energy supply with its 23 Mtoe contribution in while direct solar energy accounted for 0.1% with a 12 Mtoe output (SRREN, 2011).

Importance of future energy systems for emissions

Fossil fuels will remain the backbone of the world’s energy system for all foreseeable time, given their present dominance. Furthermore, global reliance on fossil energy brings about an associated problem, namely associated emissions. In fact, energy production is the dominating source of CO2 and other GHGs. Roughly 70% of all anthropogenic GHG emissions derive from the energy sector (Figure 3), with the largest contribution made by CO2 from fossil fuel combustion. In 2008, nearly 30 billion tons of CO2 were emitted from fossil fuel consumption and this has doubled since 1970 (Figure 4). Global warming and climate change caused by GHG emissions are strongly linked to fossil energy production and utilization. Consequently, examining likely and possible trajectories of the future energy systems are vital for understanding future climate change caused by mankind.

Despite alertness about fossil fuel depletion as well as understanding about the finite supply of oil, gas and coal, the issue of physical resource availability has not been widely discussed in long-term outlooks used to assess the risk of anthropogenic climate change. In fact, energy is often seen as a limitless exogenous input to economic planning with the result that energy demand is well defined, but disconnected from the physical and logistical realities of supply (Nel and Cooper, 2009). As a result, SRES (2000) contains a set of scenarios not compatible with the possibility that the implied recoverable volumes and extraction rates of fossil fuels are physically unreasonable or even unachievable. Peak oil and fossil fuel depletion have received little attention from the climate change debate, despite its relevance for future anthropogenic emissions (Kharecha and Hansen, 2008; Crúcz et al., 2010).

Extreme climate change projections are commonly built on the assumption that there will be essentially no issue at all with future supply of fossil energy.

Fossil fuels are the dominating GHG source and, consequently, assumed availability and future production paths are vital for projecting man-made changes to atmospheric concentration of CO2 and climate. However, the underlying assumptions and data sources in SRES (2000) are old or even outdated. This has chiefly to do with the one-sided view on fossil fuel availability expressed by the works that SRES relies on, chiefly relying on economic models rather than geological and technical estimates (Höök et al., 2010a).

Rogner (1997) and Gregory and Rogner (1998) are the main sources for details regarding fossil fuel availability for SRES (2000). Rogner (1997) draws his conclusions from compiling a number of hydrocarbon resource estimates prior to 1997, derived from sources such BP, World Energy Council, German Federal Institute of Geosciences as well as academic studies. Especially, additional occurrences beyond the common resource base, so called “unconventional hydrocarbons” such as tar sands and gas hydrates, are seen as important by Rogner (1997). These occurrences are claimed to be capable of making fossil fuels appear as an almost unlimited energy source, under the caveat that economic and technological development are favorable.

Rogner (1997), and thereby SRES (2000), conveys the notion that “the sheer size of the fossil resource base makes fossil sources an energy supply option for many centuries to come.” More specifically, the low long-term costs are worth mentioning, as the fossil energy cost is assumed to be not significantly higher than typical 1990s market price (i.e. spot prices of around 17 dollars/barrel). It is worth noticing that Gregory and Rogner (1998) specifically mention the “pessimistic” view on ultimate recoverable resources, represented by geologists such as Campbell. This is contrasted by the “optimistic” side, headed by economists. However, limits to future supply is quickly dismissed by Gregory and Rogner (1997) as new technologies and changing economic conditions could – in theory – make enormous amount of hydrocarbon molecules available in the Earth’s crust available for utilization. In essence, IPCC and SRES has chosen to disregard the issues of resource depletion and the concept of physical limits based on little more than economic beliefs (Höök et al., 2010a; Valero and Valero, 2011).

Background to hydrocarbon depletion

All deposits of fossil fuels are limited either physically or economically, thus making them finite and non-renewable natural resources. This originates from the simple fact that it takes millions of years for fossil fuels to accumulate while the deposits are extracted rapidly, making it impossible for the rate of creation to keep up with the rate of extraction. More generally, if the extraction rate is faster than replenishment rate the resource will be finite in the sense that it will eventually be depleted (Höök et al., 2010c).

Possible limits to growth and how it would affect society were explored through system dynamics by the Club of Rome in the infamous report entitled “The Limits to Growth” (Meadows et al., 1972). In retrospect, 30 years of reality actually coincides well with the “standard run” scenario (Turner, 2008). However, sustained false statements – mainly from economists – discredited the report in the public debate. Its call for sustainability and fundamental policy changes simply went by relatively unnoticed (Turner, 2008). As life after the oil crisis of the 1970s returned to normal many of the issues raised concerning resource depletion were simply forgotten.

In the late 1990s, Colin Campbell and Jean Laherrere, two petroleum geologists formerly working in the oil industry, examined reported reserves and extrapolated discovery curves (Campbell and Laherrere, 1998). Their results indicated that the world was running out of cheap and abundant oil and that a maximum production rate of oil could occur somewhere around 2010. Many subsequent studies have pointed to similar time intervals (Bentley and Boyle, 2007). Aleklett and Campbell (2003) covered more issues and created an updated model for oil depletion along with a first expansion into natural gas. The issue of peak gas and peak coal was also raised in the wake of the peak oil debate. Once again, these works became targets for doomsday accusations and claims of undue pessimism, mostly from economists.

Fossil fuel production outlooks in SRES

Total primary energy production from fossil fuels in the SRES outlooks range from a mere 50% increase from year 2010 in the B1 family to over 400% in the A1 family (Figure 6–9). The individual SRES projections for oil, gas and coal can be found in Höök et al. (2010a), while this study only presents aggregated fossil energy production trajectories. By 2100, most of the ultimate reserves of conventional oil, gas and coal will be depleted (Höök et al, 2010a). What happens after 2100 is not discussed in SRES (2000) and several scenarios simply end with high production levels. Altogether, not a single one of all 40 scenarios in SRES (2000) is envisioning a future society with remarkably less fossil fuel dependence than at present.

One can also make some important observations from the arithmetic of growth. Every time a growing production doubles it takes more than all that has been used in all the preceding growth (Bartlett, 1993; 1999; 2004). Taking the average fossil energy production of A1 as an example (Figure 6), it is projected that the global production of fossil energy in 2040 will be approximately twice as much as in 2010. In other words, it is stated that during these 30 years the world will produce and consume more fossil energy than the total that has been consumed since the dawn of the industrialized age. This is actually quite mind-bending when stated in this way as opposed to the simplistic long-terms trends with an exponential growth of a mere percent or so annually. The amount of miners, equipment, permits, investments, regional issues and social acceptance needed to achieve this huge task is not discussed in SRES in any detail as everything is just aggregated into four large world regions.

Resources are irrelevant for production, unless they cannot be transformed to reserves and commercially exploited. Vast resources have little to do with the likelihood of significant future exploitation, as this is dependent on more factors than just geological availability. It is the flow of fossil energy resources, i.e. production flows, that is demanded and society can only use the amounts that can be exploited and recovered. The size of the tank – the resource base – is of secondary importance as it is the tap that governs flow rate and practical availability for the civilization.

Vast amounts of unconventional hydrocarbons are pointless for preventing the coming of a production peak if they cannot be developed fast enough. The world may indeed be awash in hydrocarbon resources as claimed in SRES (2000), but this is simply no guarantee for high production levels in the future.

One of the first to detect the optimistic production paths were Laherrere (2001; 2002). He compared technical industry data with the SRES projections, thus finding the emission scenarios to be excessively optimistic on future oil and gas supply. This was true for both conventional and unconventional resources. By 2100, the A1G scenarios consume around 14 times more natural gas than in 2000 and Laherrere (2001) even described this as “pure fantasy”. He concluded that the IPCC assumptions about abundant volumes of cheap oil and gas were in dire need of revision.

Similar ideas was expressed by Campbell and Aleklett (Coghlan, 2003), who earlier had questioned the longevity of the world’s oil and gas endowment (Aleklett and Campbell, 2003). Sivertsson (2004), who had updated the results of Aleklett and Campbell (2003), later showed a major discrepancy between all 40 SRES scenarios and expected future production and discoveries of gas and oil. The authors of SRES responded to this by claiming that the findings were too “conservative” and claimed that there was still plenty of coal to exploit. Thus, the question was largely shifted over to coal.

The investigation of SRES was expanded to include coal by Rutledge (2007). However, the conclusion still indicated that cumulative energy production and CO2 emissions from coal, oil and gas would be less than any of the IPCC emission scenarios. Different coal production forecasts later indicated that reasonable production profiles were going to be lower than projected in the SRES (Energywatch Group, 2007; Mohr and Evans, 2009; Höök et al., 2010b; Patzek and Croft, 2010).

In hindsight, empirical observations show that nearly 60 countries have already passed their maximum production levels of oil (Sorrell et al., 2010). A most comprehensive summary of over 500 peer-reviewed studies on oil concluded that a global peak before 2030 appears likely and there is a significant risk of peaking before 2020 (UKERC, 2009). Sorrell et al. (2010) also found that forecasts that delay the peak of conventional oil production until after 2030 rest upon several assumptions that are at best optimistic and at worst implausible. Clearly, the risks associated with future oil supply and how it impacts the global energy system should be given serious consideration.

Another inadequacy in SRES is the lack of discussion surrounding details. For oil, the world has a significant dependence on roughly 300 giant oil fields, accounting for 60% of world oil production (Höök et al., 2009). In comparison, there are 50–70 000 oil fields in the world.

Likewise, a significant fraction of the world oil supply is derived from relatively few countries, such as countries around the Persian Gulf.

Optimistic assumptions are also placed on gas in SRES (2000). To achieve the projected ten-fold increases in global gas production, astronomical investment must be made but this appears unlikely from available long-term policies and planning documents. For gas, methane hydrates are identified as the important long-term supplier in SRES as earlier mentioned. In reality, exploitation of gas hydrates is still far from commercially feasible. Beauchamp (2004) points out that, by any standard, gas hydrates will not come cheap – economically, energetically or environmentally.

Currently, IPCC and SRES (2000) seem far more optimistic about future oil production than the petroleum industry itself. This indeed is a peculiar standpoint.

Coal production

For coal, the geographical distribution of reserves and resources is very uneven. About 90% of known geological occurrences, both commercially feasible and infeasible, are concentrated to just six countries. In addition, global production is also focused in an only few countries (China alone made up approximately 50% of global coal output in 2011). Studies have also found that the peaking of Chinese coal production might occur relatively soon (Tao and Li, 2007; Mohr and Evans, 2009; Lin and Liu, 2010). It is safe to say that the SRES coal projections would put significant expectations on just a few countries, but detailed studies of the most important coal nations do not indicate that such outlooks are reasonable (Höök et al., 2010b).

Coal-to-liquids (CTL) is assumed to be widely applicable and available at low costs – typically below 30 dollars/barrel and even as little as 16 dollar/barrel in some cases (SRES, 2000). Such assumptions seem rather unsound compared to more recent and updated assessments, which end up around 48-75 US$/barrel (Vallentin, 2009). For example, The B2 MESSAGE scenario projects a CTL production of 32 Mb/d by 2100, which is also higher than global oil production at the same time. Such CTL-capacities would require approximately 10,000 Mt of coal per year – more than current global coal output (Höök and Aleklett, 2010). No details on conversion ratios and other important factors are given in SRES (2000), except for statements on the technological possibilities.

SRES (2000) also portrays the importance of unconventional fossil hydrocarbons, justified by Rogner (1997) and Gregory and Rogner (1998). As an example, the B1 family assumes that massive unconventional oil and gas supplies have a geographic distribution widely different from conventional resources and that will have a major impact on future fuel supply and trade flows. The transition from conventional to unconventional oil and gas is assumed to be smooth in SRES (2000) as new technology allows tar sands, gas hydrates and similar fuels to be exploited. This is justified without quantitative assessments.

A question of development pace

A smooth energy transition requires that alternative energy sources are developed fast enough to offset the expected shortfall of fossil energy due to hydrocarbon depletion. To better understand the scope of this challenge, it is important to have a grasp of how fast conventional hydrocarbons may be declining. Taking conventional oil as an example, existing production has been found to decline at around 6% annually and this is a commonly accepted numbers derived by several studies (Höök et al., 2009; Sorrell et al., 2012). This decrease can be quantified into required new annual production addition of 3 to 7 Mb/d – roughly a new North Sea per year – and this puts some real numbers on what is required just to offset the decline in existing production. Even though unconventional hydrocarbons are available, the important question is what kind of flow rates they can provide.

The attenuation of the peak oil decline requires a sustained growth of more than 10% for unconventional oil production over at least the next 20 years (de Castro et al., 2009). Such sustained growth rates have not been seen for any of the global energy systems in history and are not expected by either of the dominating forecasting agencies, i.e. the IEA or the EIA. Also, Mohr and Evans (2010) found that projected unconventional oil production could not mitigate the peak of conventional oil. Even the BGR (2008), the main data source of Rogner (1997), states that: “after peak oil, the nonconventional oil production will rather modify the decline in oil supply than close the gap between demand and supply.

The development pace of unconventional hydrocarbons are essential in offsetting the lost production flows due to peaking of conventional ones. Even if vast amounts of unconventional fossil fuels are available in theory, they must still be developed fast enough to smoothly offset the decline of conventional flows. It is essentially a question of flows, not the size of available resources as society demands and only can use the amounts that are producible.

Fantazzini et al. (2011) also highlight some energy transition risks and pointed to the fact that for the last 150 years society has not transitioned from previous fuel sources to new ones — just adding them to the total supply. Fouquet (2010) investigated energy transitions seen in history and found that the whole innovation chain took more than 100 years and the diffusion phase nearly 50 years for new energy sources. Furthermore, the contribution to global energy supply from new energy systems will be marginal at best – even if their development mimics the most extreme growth rates seen in history (Höök et al., 2012). Consequently, quantitative studies indicate that transitions to unconventional hydrocarbons or renewable/alternative energy will be slow and likely not able to smoothly fill the resulting gap as conventional fossil fuels become depleted.

Bardi (2007) showed that resource scarcity frequently increases price oscillations, which often slow an energy source transition. Likewise, Reynolds and Baek (2012) show that peak oil and the theory surrounding oil depletion are important determinants for oil prices. Hamilton (2011) points out 11 of the 12 US Recessions since World War II were preceded by an increase in oil prices. The combination of declining oil production (and thus oil priced high enough to cause recessions), high taxes, austerity measures, more restrictive credit conditions and demographic shifts have the potential to severely constrain the financial resources required for a transition to alternative energy sources. It is also likely that this combination of forces triggers the contraction of the world economy (Hamilton, 2009b; Dargay and Gately, 2010).

Lutz et al. (2012) explored the macroeconomic consequences of peak oil and found that sharp increases in oil prices due to the nature of the oil market in the short/medium term. The global macroeconomic effects of an increase of the oil price as high as modeled here are comparable to the effects of the financial and economic crises of 2008/2009. Oil exporting countries gained importance in the globalized economy, while importance of oil importing economies decreases. Both Lutz et al. (2012) and Kerschner and Hubacek (2009) found that the transport sector would be firstly and strongly effected, but all other sectors were subjected to indirect impacts through global supply chains.

Interdependencies between fossil fuel production activities also complicate the situation. At present over 95% of the energy in the transportation sector is derived from petroleum (IPCC, 2007). Lin and Liu (2010) note that transportation could account for over 50% of the total coal cost for a consumer. Consequently, increasing oil prices are likely to give increasing coal costs. The globalized supply chains used by virtually all energy technologies are dependent on transports. After peak oil distance will, once again, become increasingly expensive, and oil price may begin to act as a trade barrier for products and implementation of new energy sources (Fantazzini et al., 2011).

To conclude, society may become caught in a struggle with alternating circumstances of insufficient cash flow to handle price spikes and plummeting prices that do not cover cost structures. Fantazzini et al. (2011) and Tverberg (2012) found indications that oil supply problems would be likely to trigger financial problems, thus making substitutions even harder.

Energy-return on investment

Another factor worth considering is the energy-return-on-investment (EROI) simply referring to the ratio of energy output and the required energy input for an arbitrary energy source. It is only the net energy produced that can be used for non-energy activities in society.

Growth rates of global energy systems have also been shown to correlate to EROI, where energy sources with high EROI tend to grow faster. This could possibly imply that the growth rates seen for fossil fuels in history will not be easily matched by future alternative or renewable energy sources (Höök et al., 2012).

Future GDP-growth requires net energy inputs, hence net energy consumption will grow roughly in parallel. However, depletion of fossil fuels implies that the EROI will diminish. This has already been seen in history (Gagnon et al., 2009; Murphy et al., 2010; Grandell et al., 2011). To counter decreasing EROI, gross production of fossil fuels and corresponding CO2 emissions must grow even faster. Moriarty and Honnery (2010) discuss the ambiguous effects and show that fossil fuel depletion may either help or hinder CO2 reductions depending on society’s response. Finally, Heun and de Wit (2012) found highly non-linear oil price and production cost movements when EROI declined below 10, indicating the underlying connection to economic consequences of switching to alternative fuels with lower EROI.

Sociopolitical consequences

Others have shown that peak oil is likely to reduce mobility for individuals as well as disrupting urban freight movements (Aftabuzzaman and Mazloumi, 2011). Krumdieck et al. (2010) found that people living in low-density sprawled urban forms with very few work or resource destinations accessible by public transport, biking or walking, are at a higher risk than people living in concentrated activity areas with integrated land use and transport modes and with closer access to production and work activities. As a result, peak oil could hit certain groups in society harder and lead to increased social tensions.

Increasing oil prices due to depletion will increase the amount of oil- related income flowing into autocratic and weakly institutionalized states. Colgan (2012) notes that such states are the most likely sites of future revolutionary governments and highlight that such regimes and large oil incomes are a toxic combination for international peace and security. Consequently, the world might expect further turbulence and political violence in oil-producing regions in the future. It is feasible to assume that increased conflicts will be an obstacle for energy transitions.

Nothing is guaranteeing that the relatively peaceful period currently experienced by the developed nations that is favorable to rapid energy source transitions will continue much longer.

Friedrich (2010) gave examples illustrating that peak oil can throw countries into sociological trajectories not prone to easy energy transitions.

Sometimes it is claimed that peaking of conventional hydrocarbons would be disastrous for the environment. This is motivated by the established fact that unconventional fossil fuels have much larger emission footprints (Brandt and Farrell, 2007). However, this is only valid if, and only if, unconventional hydrocarbon production becomes a major part of the future energy system. Once again, vast unconventional resources do not “automagically” imply high production rates as future exploitation is dependent on more factors than just geological occurrences.

Smil (2008) also pointed out how the scenarios ignored several key facts about global energy and its future, more specifically the Jevons paradox (Jevons, 1856) which has implied that for the last 150 years all energy efficiency improvements have actually been translated into higher energy use. Finally, Smil (2000) and Bezdek and Wendling (2002) pinpoint that long range energy forecasters have made many inaccurate projections, mostly as overestimations. The smooth energy transition assumptions built into SRES (2000) are debatable or even questionable. Such idealized substitution mechanisms are likely to oversimplify the complexity of energy transitions, in particular when supply of the dominant energy source (i.e. oil) is declining.

Climate impact assessments from fossil fuel constraints

Fossil fuel depletion limits the maximum extent of anthropogenic global warming, although this is challenging to handle in a holistic manner. Energy constraints pose a threat to the economy (Nel and Cooper, 2009), and similarly changes in human energy-related behaviors can lead to a broad range of effects on natural ecosystems (Czúcz et al., 2010). Energy, economy and ecology are seldom seen as three interconnected problems. The lack of widely accepted benchmarks for energy constraints in long-term planning has been a problem often forcing analysts to overlook this factor or oversimplify it into exogenous inputs disconnected from the reality of supply. Consequently, only a relatively limited set of analyses have been investigating the climate changes that limited future production of fossil fuels may have. This review attempts to identify all published papers dealing with this issue.

Doose (2004) discussed fossil fuel limits and how they would impact future anthropogenic climate change. He used a simplistic carbon sink model and a basic Hubbert-type production model and found that it would be unlikely that future atmospheric CO2 concentrations would rise higher than 650 ppm before falling to 450 ppm by 2150.

Brecha (2008) highlighted that there are both geologic and economic reasons to expect limits in future production and made simplified emission scenarios to explore the consequences. He found that CO2 concentrations would end up somewhere between 500 and 600 ppm, corresponding to a 2–3° C temperature increase. This is still above the proposed 2° C climate ceiling, but far less than the large temperature increases generated by the more extreme scenarios in SRES.

Kharecha and Hansen (2008) used a Bern carbon cycle model and a set of peak oil and gas compatible emission scenarios to explore the implications of peak oil for climate change. It should be noted that they considered coal to be abundant and capable of increasing production up to 2100 in a business-as-usual outlook, resulting in 550 ppm CO2 in the atmosphere. Four other scenarios had more constrained coal production profiles, somewhat more compatible with published peak coal projections (Mohr and Evans, 2009; Höök et al., 2010b; Patzek and Croft, 2010: Rutledge, 2011). The CO2 concentration ended up around 450 ppm for these scenarios and they were found to be largely consistent with current assessments of the cumulative 21st century emissions needed to stabilize atmospheric CO2 at 450 ppm even after factoring in carbon cycle feedbacks.

Nel and Cooper (2009) made a complete treatment of fossil energy to better understand its impact on the economy and climate. The emissions were projected to a peak at 11 GtC by 2020 before diminishing to around 6 GtC by 2100. Climate responses were examined with three carbon cycle models, where the Bern model reached atmospheric CO2-levels of ~540 ppm by 2100 compared to the other models that gave lower atmospheric concentrations. The model with the best fit to historical data peaked at around 430 ppm by 2060 before slowly decreasing. The consequent warming would be limited to about 1° C above the 2000 level.

The three studies reached somewhat different results and a lot of this can primarily be attributed to different assumptions about climate sensitivity. Zecca and Chiari (2010) criticized Nel and Cooper (2009) for underestimating future warming, but Ward and Nel (2011) defended their position. Zecca and Chiari (2011a) used a simplistic carbon cycle/climate sensitivity model to transform 10 recent fossil fuel forecasts into temperature projections under “realistic” fossil fuel production trajectories. It was found that CO2 concentration could increase up to 445–540 pm with a corresponding temperature increase of 0.9–1.6° C with respect to year 2000. Nel (2011) evaluated

SRES scenarios against fossil fuel depletion models and proposed attainable trajectories for emissions.

In addition, a new parametric carbon feedback model was developed and found to be consistent with empirical data. A radiative feedback model was used for sensitivity analysis to establish a range of reasonable global warming outcomes. Finally, Nel (2011) predicted a maximum atmospheric concentration of CO2 in the range of 500-560 ppm and a maximum global mean surface temperature increase of 1.5–2°C relative to year 2000.

Ward et al. (2012) stochastically modeled future emissions and found that high emissions are unlikely to be sustained through the second half of this century, even with the addition of shale oil and other unconventional hydrocarbons. The most frequently occurring model runs typically yielded an overall peak in emissions somewhere between 2040 and 2050, with a corresponding peak emissions rate of 60–70 GtCO2/year. However, these results were not converted into expected temperature increases or average CO2 concentrations.

Another study by Zecca and Chiari (2011b) expanded the discussion of carbon cycle models, but also found that despite methodological differences analysts arrived to the same important conclusion: it is likely that fossil fuel depletion will limit the atmospheric CO2 concentration at levels lower than the ones derived from SRES and normally presented in the anthropogenic climate change debate. Even though there is still a considerable debate regarding the detailed climate response from fossil fuel limits, one can identify an emerging unity that it will be vital limit for mankind’s ability to cause climate change. Whether or not dangerous climate change will occur due to mankind’s GHG emissions is still an open question and depends on climate sensitivity and feedback mechanisms as well as fossil fuel availability and future energy trends. The issue is complex and more intra-disciplinary studies are encouraged.

Concluding discussions

Peak oil and related limits to future fossil energy extraction are nearly absent in the climate change debate (Kharecha and Hansen, 2008). It is certainly about time to change this and stop seeing anthropogenic release of CO2 as something detached from future energy supply questions. Energy cannot be seen as a limitless input to economic/climate models and remain disconnected from the physical and logistical realities of supply (Nel and Cooper, 2009).

Vernon et al. (2011) found that supply-side constraints may dominate and that scenarios which disregarded such limits are too narrow. The current set of scenarios, SRES (2000), is perforated by optimistic expectations on future fossil fuel production that are improbable and some of the scenarios can even be ruled out as clearly unrealistic. Several scenarios also agree poorly with reality over the recent years and some can even be ruled out due to this mismatch. It can be argued that several SRES scenarios are in need of revision – generally downward – regarding production expectations from fossil fuels. The utopian thinking in SRES (Hjerpe and Linnér, 2009), is unsubstantiated in the light of recent developments and there are serious issues with the future production modelling. Extraction of fossil energy is dependent on much more than just geological availability. Some scenarios would also place unreasonable expectations on just a few countries or regions. Is it reasonable to expect that China would increase their coal production by a factor of 8 over the next 90 years, as implied by the A1C-scenarios? More detailed studies on China has actually placed the likelihood of a peaking in Chinese production relatively soon (Tao and Li, 2007; Mohr and Evans, 2009; Lin and Liu, 2010). Energy forecasting on a global perspective sometimes overlooks constraints which occur on a smaller geographical level, necessitating more detailed models to better capture the reality of the world’s fossil fuel production. Especially a better handling of coal is crucial, as it accounts for both the largest amounts of remaining fossil fuels as well as the largest CO2 emissions.

SRES (2000) also appears to have missed the growing body of evidence that supports an imminent peaking of world oil production (UKERC, 2009). Needless to say, many of the assumptions used in the IPCC emission scenarios are outdated and in dire need of re-evaluation. The current stance, where SRES (2000) is much more optimistic about future oil supply than the oil industry and other agencies attempting to forecast future oil supply with high levels of accuracy puts the IPCC in a rather odd or even awkward position.

The extreme scenarios with high temperature increases can only be obtained by disregarding supply constraints and projecting continued exponential growth in fossil fuel extraction until 2100. The validity of the climate change projections obtained from climate models can be no more than the soundness of the input, i.e. the emission scenarios, that was used to derive those estimates. It can only be stated that the golden rule of modelling – “garbage in – garbage out” – should always be held dear. The extent and timing of peak oil and other impending peaks are not clear, but it is obvious that these events will have a significant impact on mankind’s future release of CO2 given the importance of fossil fuels as a source of anthropogenic emissions.

References

Aftabuzzaman M, Mazloumi E, 2011. Achieving sustainable urban transport mobility in post peak oil era. Transport Policy, 18(5), 695–702. DOI:http://dx.doi.org/10.1016/j.tranpol.2011.01.004

Aleklett, K., Campbell, C.J., 2003. The peak and decline of world oil and gas production. Minerals and Energy – Raw Materials Report, 18(1), 5–
20. DOI: http://dx.doi.org/10.1080/14041040310008374

Arrhenius, S., 1896. On the influence of carbonic acid in the air upon the temperature of the ground. Philosophical Magazine and Journal of Science,
5(41), 237–276.

Bardi, U., 2007. Energy Prices and Resource Depletion: Lessons from the Case of Whaling in the Nineteenth Century. Energy Sources, Part B: Economics, Planning, and Policy, 2(3), 297–304. DOI: http://dx.doi.org/10.1080/1556724060062943521

Bartlett, A.A., 1993. Arithmetic of growth: methods of calculation. Population and Environment, 14(4), 359–387.

Bartlett, A.A., 1999. Arithmetic of growth: methods of calculation II. Population and Environment, 20(3), 215–246.

Bartlett, A.A., 2004. The essential exponential! For the future of our planet, University of Nebraska Press, ISBN 978-0975897300, Lincoln, NE

Beauchamp, B., 2004. Natural gas hydrates: myths, facts and issues. Comptes Rendus Geoscience, 336(9), 751–765. DOI:
http://dx.doi.org/10.1016/j.crte.2004.04.003

Bentley, R.W., Boyle, G., 2007. Global oil production: forecasts and methodologies. Environment and Planning B: Planning and Design, 35(4),609–626. DOI: http://dx.doi.org/10.1068/b33063t

Bezdek, R.H., Wendling, R.M., 2002. A half century of long-range energy forecasts: errors made, lessons learned, and implications for forecasting.Journal of Fusion Energy, 21(3-4), 155–172. DOI: http://dx.doi.org/10.1023/A:1026208113925

BGR, 2008. Reserves, resources and availability of energy resources 2007, Available from: http://www.bgr.bund.de/BP, 2012. Statistical review of world energy 2012, Available from: http://www.bp.com

Brandt, A.R., Farrell, A.E., 2007. Scraping the bottom of the barrel: greenhouse gas emission consequences of a transition to low-quality and synthetic petroleum resources. Climatic Change, 84(3–4): 241–263. DOI: http://dx.doi.org/10.1007/s10584-007-9275-y

Brecha, R.J., 2008. Emission scenarios in the face of fossil-fuel peaking. Energy Policy, 36(9), 3492–3504. DOI:
http://dx.doi.org/10.1016/j.enpol.2008.05.023
Campbell, C., Laherrère, J., 1998. The end of cheap oil. Scientific American, March 1998, pp. 76-83,
Castles I., Henderson D., 2003. The IPCC emission scenarios: an economic-statistical critique. Energy & Environment, 14(2–3), 159–185. DOI:
http://dx.doi.org/10.1260/095830503765184583
de Castro, C., Miguel, L.J., Mediavilla, M., 2009. The role of non conventional oil in the attenuation of peak oil. Energy Policy, 37(5), 1825–1833.
DOI: http://dx.doi.org/10.1016/j.enpol.2009.01.022

Coghlan, A., 2003. ‘Too little’ oil for global warming. New Scientist, 2 August 2003. See also: http://www.newscientist.com/article/dn4216

Colgan J, 2012. Oil and resource-backed aggression. Energy Policy, 39(3), 1669–1676. DOI: http://dx.doi.org/10.1016/j.enpol.2010.12.042

Curtis, F., 2007. Climate change, peak oil, and globalization: contradictions of natural capital. Review of Radical Political Economics, 39(3), 385–390. DOI: http://dx.doi.org/10.1177/0486613407305288

Czúsz, B., Gathman, J.P., McPherson, G.R., 2010. The impending peak and decline of petroleum production: an underestimated challenge for conservation of ecological integrity. Conservation Biology, 24(4), 948–956.

Dargay J.M., Gately, D., 2010. World oil demand’s shifttoward faster growing and less price-responsive products and regions. Energy Policy, 38(10), 6261-6277. DOI: http://dx.doi.org/10.1016/j.enpol.2010.06.014

Dessai, S., O’Brien, K., Hulme, M., 2007. On uncertainty and climate change. Global Environmental Change, 17(1), 1–3. DOI:http://dx.doi.org/10.1016/j.gloenvcha.2006.12.001

Doose, P.R., 2004. Projections of fossil fuel use and future atmospheric CO2 concentrations. The Geochemical Society Special Publications, 9, 187–195. DOI: http://dx.doi.org/10.1016/S1873-9881(04)80015-4

Energywatch Group, 2007. Coal: resources and future production, EWG-paper No. 1/07, Available from: http://www.energywatchgroup.com/

Fantazzini, D., Höök, M., Angelantoni, A., 2011. Global oil risks in the early 21st Century. Energy Policy, 39(12), 7865–7873. DOI:http://dx.doi.org/10.1016/j.enpol.2011.09.035

Fouquet R, 2010. The slow search for solutions: Lessons from historical energy transitions by sector and service. Energy Policy, 38(11), 6586–6596.DOI: http://dx.doi.org/10.1016/j.enpol.2010.06.029

Friedrichs, J., 2010. Global energy crunch: How different parts of the world would react to a peak oil scenario. Energy Policy, 38(8), 4562–4569.DOI: http://dx.doi.org/10.1016/j.enpol.2010.04.011

Gagnon, N., Hall, C.A.S, Brinker, L., 2009. A preliminary investigation of energy return on energy investment for global oil and gas production.Energies, 2(3), 490–503. DOI: http://dx.doi.org/10.3390/en20300490

Girod, B., Wiek, A., Mieg, H., Hulme, M., 2009. The evolution of the IPCC’s emissions scenarios. Environmental Science & Policy, 12(2), 103–118. DOI: http://dx.doi.org/10.1016/j.envsci.2008.12.006

Grandell, L., Hall, C.A.S., Höök, M., 2011. Energy return on investment for Norwegian oil and gas from 1991 to 2008. Sustainability, 3(11), 2050–2070. DOI: http://dx.doi.org/10.3390/su3112050

Gray, V., 1998. The IPCC future projections: are they plausible? Climate Research, 10(2), 155–162. DOI: http://dx.doi.org/10.3354/cr010155

Gregory, K., Rogner, H.H., 1998. Energy resources and conversion technologies for the 21st century. Mitigation and Adaptation Strategies forGlobal Change, 3(2), 171–229. DOI: http://dx.doi.org/10.1023/A:1009674820623

Green, K.C., Armstrong, J.S., Soon, W., 2009. Validity of climate change forecasting for public policy decision making. International Journal of Forecasting, 25(4), 826–832. DOI: http://dx.doi.org/10.1016/j.ijforecast.2009.05.011

Groves, D.G., Lempert, R.J., 2007. A new analytic method for finding policy-relevant scenarios. Global Environmental Change, 17(1), 73–85. DOI:http://dx.doi.org/10.1016/j.gloenvcha.2006.11.006

Grübler, A., 1998. A review of global and regional sulfur emission scenarios. Mitigation and Adaptation Strategies for Global Change, 3(2-4), 383–418. DOI: http://dx.doi.org/10.1023/A:1009651624257

Grübler, A., Nakićenović, N., 2001. Identifying dangers in an uncertain climate. Nature, 412(6842), 15.

Hamilton, J., 2009. Causes and consequences of the oil shock of 2007-08. Brookings Papers on Economic Activity, Spring 2009, 215-259.

Hamilton, J., 2011. Historical oil shocks. In: Parker, R.E., Whaples, R.M. (Ed.), Handbook of Major Events in Economic History, Routledge, ISBN:978-0415677035

Heun MK, de Wit M, 2012. Energy return on (energy) invested (EROI), oil prices, and energy transitions. Energy Policy, 40, 147–158. DOI:http://dx.doi.org/10.1016/j.enpol.2011.09.008

Hjerpe, M, Linnér, B.O., 2008. Utopian and dystopian thought in climate change science and policy. Futures, 41(4), 234–245. DOI:http://dx.doi.org/10.1016/j.futures.2008.09.007

Hubbert, M.K., 1956. Nuclear energy and the fossil fuels. Publication No. 95, 40 pp. Shell Development Company, Houston, Texas.

Höök, M., Hirsch, R., Aleklett, K., 2009. Giant oil field decline rates and their influence on world oil production. Energy Policy, 37(6), 2262–2272. DOI: http://dx.doi.org/10.1016/j.enpol.2009.02.020

Höök, M., Aleklett, K., 2010. A review on coal to liquid fuels and its coal consumption. International Journal of Energy Research, 34(10), 848–864. DOI: http://dx.doi.org/10.1002/er.1596

Höök, M., Sivertsson, A., Aleklett, K., 2010a. Validity of the fossil fuel production outlooks in the IPCC Emission Scenarios. Natural Resources Research, 19(2), 63–81. DOI: http://dx.doi.org/10.1007/s11053-010-9113-1

Höök, M., Zittel, W., Schindler, J., Aleklett, K., 2010b. Global coal production outlooks based on a logistic model. Fuel, 89(11), 3546–3558. DOI:http://dx.doi.org/10.1016/j.fuel.2010.06.013

Höök, M., Bardi., U., Feng, L., Pang, X., 2010c. Development of oil formation theories and their importance for peak oil. Marine & Petroleum Geology, 27(9), 1995–2004. DOI: http://dx.doi.org/10.1016/j.marpetgeo.2010.06.005
22

Höök, M., Li, J, Johansson, K, Snowden, S., 2012. Growth rates of global energy systems and future outlooks. Natural Resources Research, 21(1), 23-41. DOI: http://dx.doi.org/10.1007/s11053-011-9162-0

IEA, 2010. C02 emissions from fuel combustion – 2010 edition. Available from http://www.iea.org
IEA, 2011. Key World Energy Statistics 2011. Available from http://www.iea.org

IPCC, 1990. First Assessment Report, Available from http://www.ipcc.ch/
IPCC, 1995. Second Assessment Report, Available from http://www.ipcc.ch/
IPCC, 2001. Third Assessment Report, Available from http://www.ipcc.ch/
IPCC 2007. Fourth Assessment Report, Available from http://www.ipcc.ch/

Jevons, W.S., 1856. The coal question: an inquiry concerning the progress of the nation, and the probable exhaustion of our coal-mines, Augustus M
Kelley Pubs, ISBN 978-0678001073, London, England

Jones, R.N., 2001. An environmental risk assessment/management framework for climate change impact assessments. Natural Hazards, 23(2–3),
197–230. DOI: http://dx.doi.org/10.1023/A:1011148019213

Kerschner C, Hubacek K, 2009. Assessing the suitability of input–output analysis for enhancing our understanding of potential economic effects of Peak Oil. Energy, 34(3), 284–290. DOI: http://dx.doi.org/10.1016/j.energy.2008.07.009

Kharecha, P.A., Hansen, J.E., 2008. Implications of “peak oil” for atmospheric CO2 and climate. Global Biogeochemical Cycles, 22(3), GB3012. DOI: http://dx.doi.org/10.1029/2007GB003142

Koetse, M., de Groot, H., Florax, R. 2008. Capital-energy substitution and shifts in factor demand: A meta-analysis. Energy Economics, 30(5),2236–2251. DOI: http://dx.doi.org/10.1016/j.eneco.2007.06.006

Krumdieck S, Page S, Dantas A, 2010. Urban form and long-term fuel supply decline: A method to investigate the peak oil risks to essential activities. Transportation Research Part A: Policy and Practice, 44(5), 306–322. DOI: http://dx.doi.org/10.1016/j.tra.2010.02.002

Laherrere, J., 2001. Estimates of oil reserves. Paper presented at the EMF/IEA/IEW meeting, International Institute for Applied Systems Analysis (IIASA), Laxenburg, Austria – June 19, 2001.

Laherrere, J., 2002. Forecasting future production from past discovery. International Journal of Global Energy Issues, 18(2–4), 218–238. DOI:http://dx.doi.org/10.1504/IJGEI.2002.000961

Lemos, C.M., Rood, R.B., 2010. Climate projections and their impact on policy and practice. Wiley Interdisciplinary Reviews: Climate Change, 1(5), 670–682. DOI: http://dx.doi.org/10.1002/wcc.71

Lin B.Q., Liu, J.H., 2010. Estimating coal production peak and trends of coal imports in China. Energy Policy. 38(1), 512–519. DOI:http://dx.doi.org/10.1016/j.enpol.2009.09.042

Lutz C, Lehr U, Wiebe KS, 2012. Economic effects of peak oil. Energy Policy, 48, 829–834. DOI: http://dx.doi.org/10.1016/j.enpol.2012.05.017

Malthus, T., 1798. An essay on the principle of population, Penguin Classics, ISBN 978-0140432060, London, England, 304 p.

McCartney, G., Hanlon, P., Romanes, F., 2008. Climate change and rising energy costs will change everything: A new mindset and action plan for 21st Century public health. Public Health, 122(7), 658–663.

McKibbin W.J., Pearce, D., Stegman, A., 2007. Long term projections of carbon emissions. International Journal of Forecasting, 23(4), 637–653.

Meadows, D.H., Meadows, D.L., Randers, J., Behrens, W., 1972. The limits to growth, Universe Books, ISBN 978-0451136954, New York, USA

Meinshausen, M., et al., 2009. Greenhouse-gas emission targets for limiting global warming to 2°C. Nature, 458(7242), 1158–1162.

Morgan, M.G., Keith, D.W., 2008. Improving the way we think about projecting future energy use and emissions of carbon dioxide. Climatic Change, 90(3), 189–215. DOI: http://dx.doi.org/10.1007/s10584-008-9458-1

Mohr, S.H, Evans, G.M., 2009. Forecasting coal production until 2100. Fuel, 88(11), 2059–2067. DOI: http://dx.doi.org/10.1016/j.fuel.2009.01.032

Mohr, S.H, Evans, G.M., 2010. Long term prediction of unconventional oil production. Energy Policy, 38(1), 265–276. http://dx.doi.org/10.1016/j.enpol.2009.09.015

Moriarty, P., Honnery, D., 2009. What energy levels can the Earth sustain? Energy Policy, 37(7), 2469–2474. DOI:http://dx.doi.org/10.1016/j.enpol.2009.03.006

Moriarty, P., Honnery, D., 2010. Rise and Fall of the Carbon Civilisation. Springer, London. 218pp.

Murphy, D.J., Hall, C.A.S., 2010. Year in review — EROI or energy return on (energy) invested. Annals of the New York Academy of Sciences, 1185, 102–118. DOI: http://dx.doi.org/10.1111/j.1749-6632.2009.05282.x

Nakićenović, N., Victor, N., Morita, T., 1998. Emissions scenarios database and review of scenarios. Mitigation and Adaptation Strategies for Global Change, 3(2), 95–131. DOI: http://dx.doi.org/10.1023/A:1009699523349

Nel, W.P., Cooper, C.J., 2009. Implications of fossil fuel constraints on economic growth and global warming. Energy Policy, 37(1), 166–180. DOI:http://dx.doi.org/10.1016/j.enpol.2008.08.013

Nel, W.P., 2011. A parameterised carbon feedback model for the calculation of global warming from attainable fossil fuel emissions. Energy & Environment, 22(7), 859–876. DOI: http://dx.doi.org/10.1260/0958-305X.22.7.859

Patzek, T.W., Croft, G.D., 2010. A global coal production forecast with multi-Hubbert cycle analysis. Energy, 35(8), 3109–3122. DOI:http://dx.doi.org/10.1016/j.energy.2010.02.009

Peterson, T.C., Connolley, W.M., Fleck, J., 2008. The myth of the 1970s global cooling scientific consensus. Bulletin of the American Meterological Society, 89(9), 1325–1357. DOI: http://dx.doi.org/10.1175/2008BAMS2370.1

Pielke, R., Wigley, T., Green, C., 2008. Dangerous assumptions. Nature, 454(7187), 531–532. DOI: http://dx.doi.org/10.1038/452531a

Reynolds, D.B., Baek, J., 2012. Much ado about Hotelling: Beware the ides of Hubbert. Energy Economics, 34(1), 162–170. DOI:http://dx.doi.org/10.1016/j.eneco.2011.04.010

Rogner, H.H., 1997. An assessment of world hydrocarbon resources. Annual Review of Energy and the Environment, 22(1), 217–262.

Rutledge, D., 2007. Hubbert’s Peak, the Coal Question, and Climate Change, presentation at the ASPO-USA World Oil Conference, 17-20 October 2007, Houston, Texas, Available from: http://rutledge.caltech.edu/

Rutledge, D., 2011. Estimating long-term world coal production with logit and probit transforms. International Journal of Coal Geology, 85(1), 23–33. DOI: http://dx.doi.org/10.1016/j.coal.2010.10.012

Schenk, N.J., Lensink, S.M., 2007. Communicating uncertainty in the IPCC’s greenhouse gas emissions scenarios. Climatic Change, 82(1–2), 293–308.

Schneider, S.H., 2001. What is “dangerous” climate change? Nature, 411(6833), 17–19. DOI: http://dx.do.org/10.1038/35075167

Schneider, S.H., 2002. Can we estimate the likelihood of climatic changes at 2100? Climatic Change, 52(4), 441–451. DOI:http://dx.doi.org/10.1023/A:1014276210717

Sivertsson, A., 2004. Study of world oil resources with a comparison to the IPCC emissions scenarios. Master thesis from Uppsala University.

Smil, V., 2000. Perils of long-range energy forecasting: reflections on looking far ahead. Technological Forecasting and Social Change, 65(3), 251–264. DOI: http://dx.doi.org/10.1016/S0040-1625(99)00097-9

Smil, V., 2008. Long-range energy forecasts are no more than fairy tales. Nature, 453(7187), 531–532. DOI: http://dx.doi.org/10.1038/453154a23

Sorrell, S., Miller, R., Bentley, R., Speirs, J., 2010. Oil futures: A comparison of global supply forecasts. Energy Policy, 38(9), 4990–5003. DOI:http://dx.doi.org/10.1016/j.enpol.2010.04.020

Sorrell, S., Speirs, J., Bentley, R., Miller, R., Thompson, E., 2012. Shaping the global oil peak: A review of the evidence on field sizes, reserve growth, decline rates and depletion rates. Energy, 37(1), 709–724. DOI: http://dx.doi.org/10.1016/j.energy.2011.10.010

SRES, 2000. Special Report on Emissions Scenarios. Report prepared for the Third Assessment Report. November 2000. Available from: http://www.ipcc.ch/

SRREN, 2011. Special Report on Renewable Energy Sources and Climate Change Mitigation. Report prepared and released by the IPCC. May 2011. Available from: http://www.ipcc.ch/

Tao Z., Li M., 2007. What is the limit of Chinese coal supplies — A STELLA model of Hubbert Peak. Energy Policy, 35(6), 3145–3154. DOI:http://dx.doi.org/10.1016/j.enpol.2006.11.011

Tol, R.S.J., 2006. Exchange rates and climate change: an application of fund. Climatic Change, 75(1–2), 59–80.

Turner, G.M., 2008. A comparison of The Limits to Growth with 30 years of reality. Global Environmental Change, 18(3), 397–411. DOI:http://dx.doi.org/10.1016/j.gloenvcha.2008.05.001

Tverberg, G., 2012. Oil supply limits and the continuing financial crisis. Energy, Volume 37, Issue 1, January 2012, Pages 27-34. DOI:http://dx.doi.org/10.1016/j.energy.2011.05.049

van Ruijven, B., et al, 2008. Modeling energy and development: an evaluation of models and concepts. World Development, 36(12), 2801–2821. DOI:http://dx.doi.org/10.1016/j.worlddev.2008.01.011

Valero, A.  2011. A prediction of the exergy loss of the world’s mineral reserves in the 21st century. Energy, 36(4), 1848–1854. DOI:http://dx.doi.org/10.1016/j.energy.2010.02.041

Vallentin, D., 2008. Policy drivers and barriers for coal-to-liquids (CTL) technologies in the United States. Energy Policy, 36(8), 3198–3211. DOI: http://dx.doi.org/10.1016/j.enpol.2008.04.032

Verhulst, P.F., 1838. Notice sur la loi que la population suit dans son accroissement. Correspondence Mathematique et Physique, 10, 113–121.

Vernon, C., Thompson, E., Cornell, S., 2011. Carbon dioxide emission scenarios: limitations of the fossil fuel resource. Procedia Environmental Sciences, 6, 206–215. DOI: http://dx.doi.org/10.1016/j.proenv.2011.05.022

Victor, D.G., 2009. Global warming: Why the 2°C goal is a political delusion. Nature, 459(7249), 909. DOI: http://dx.doi.org/10.1038/459909a

van Vuuren, D.P., O’Neill, B.C., 2006. The consistency of IPCC’s SRES scenarios to 1990–2000 trends and recent projections. Climatic Change, 75(1–2), 9–46. DOI: http://dx.doi.org/10.1007/s10584-005-9031-0

van Vuuren, D.P., de Vries, B., Beusen, A., Heuberger, P.S.C., 2008. Conditional probabilistic estimates of 21st century greenhouse gas emissions based on the storylines of the IPCC-SRES scenarios. Global Environmental Change, 8(4), 635–654. DOI:http://dx.doi.org/10.1016/j.gloenvcha.2008.06.001

Walsh, K.J.E., et al., 2004. Using sea level rise projections for urban planning in Australia. Journal of Coastal Research, 20(2), 586–598. DOI: http://dx.doi.org/10.2112/1551-5036(2004)020[0586:USLRPF]2.0.CO;2

Ward, J.D., Nel, W.P., 2011. Comment on Fossil-fuel constraints on global warming by A. Zecca and L. Chiari. Energy Policy, 39(11), 7464–7466.DOI: http://dx.doi.org/10.1016/j.enpol.2010.01.026

Ward JD, Mohr SH, Myers BR, Nel WP, 2012. High estimates of supply constrained emissions scenarios for long-term climate risk assessment. Energy Policy, article in press. DOI: http://dx.doi.org/10.1016/j.enpol.2012.09.003

Webster, M.D., et al., 2003. Uncertainty analysis of climate change and policy response. Climatic Change, 61(3), 295–320. DOI:http://dx.doi.org/10.1023/B:CLIM.0000004564.09961.9f

UKERC, 2009. Global oil depletion: an assessment of the evidence for a near-term peak in global oil production, UK Energy Research Centre, London, Available from: http://www.ukerc.ac.uk/support/Global%20Oil%20Depletion

Zecca, A., Chiari, L., 2010. Fossil-fuel constraints on global warming. Energy Policy, 38(1), 1–3. DOI:
http://dx.doi.org/10.1016/j.enpol.2009.06.068

Zecca, A., Chiari, L., 2011a. Constraints of fossil fuels depletion on global warming projections. Energy Policy, 39(9), 5026–5034. DOI:
http://dx.doi.org/10.1016/j.enpol.2011.06.011

Zecca, A., Chiari, L., 2011b. Observational constraints of the past CO2 concentration on the results of carbon cycle models. Energy Policy, 39(11), 7467–7469. DOI: http://dx.doi.org/10.1016/j.enpol.2010.02.024

This entry was posted in ! PEAK EVERYTHING, But not from climate change: Peak Fossil Fuels, Climate Change, Supply Chains, Transportation and tagged , , , . Bookmark the permalink.

Comments are closed.