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Article

The Climate-Independent Need for Renewable Energy in the 21st Century

1
Department of Marine Sciences, Texas A&M University Galveston Campus, Galveston, TX 77554, USA
2
Department of Marine Biology, Texas A&M University Galveston Campus, Galveston, TX 77554, USA
*
Author to whom correspondence should be addressed.
Energies 2017, 10(8), 1197; https://doi.org/10.3390/en10081197
Submission received: 1 May 2017 / Revised: 31 July 2017 / Accepted: 10 August 2017 / Published: 13 August 2017

Abstract

:
In December 2015 the nations of the world agreed, in principle, to limit global warming to no more than 2 °C above pre-industrial levels. In order to achieve this goal, recent publications have shown that (1) more than 50% of known fossil fuel reserves need to remain unused, and (2) the timing of the transition away from fossil fuels needs to achieve 50% renewable energy by 2028, an expansion of renewable sources of 37-fold in the next 12 years. This rate of expansion is unprecedented and unlikely to be achieved. Even utilizing the 50% of fossil fuels untapped in a <2 °C scenario results in significant expansion of renewable energy sources by 2100. Here we examine three fossil fuel reserve estimates and two per capita energy consumption tracks to understand how dominant renewable energy sources need to be during the second half of the 21st century. We find that per capita energy consumption rates are a more significant factor in the demand for renewable energy infrastructure, as wide ranging estimates of fossil fuel reserves still result in peak production by mid-century. At either of the consumption rates, attempting to uphold the 2 °C global warming goal would demand more energy from renewable sources than was produced from all sources in 2014. In total, the world will likely require between 600 and 2000 exajoules of renewable energy by the year 2100, a significant expansion from the 13 produced in 2014. Despite meaningful gains in renewable energy sources, the transition away from fossil fuels is not keeping pace with rising global population, and expansion of global per capita consumption. Even in the absence of global warming concerns, renewable energy infrastructure needs to immediately begin significant expansion.

1. Introduction

The main decision reached at the December 2015 United Nations 21st conference of parties (COP-21) meeting holds that the world’s countries reduce CO2 emissions to prevent global temperature from exceeding 2 °C above pre-industrial levels. Models of population growth, energy demand, and climate change are integral components in defining how to meet the goals of such policy decisions. For example, McGlade and Ekins [1] demonstrated that >50% of all known fossil fuel reserves need to remain unused, and Jones and Warner [2] demonstrated that renewable energy needs to comprise >50% of all energy use by 2028 in order to achieve the <2 °C goal of COP-21. However, the integration of renewable energy into the future global energy mix has thus far been inadequate [3].
While climate change concerns are an important motivation for the transition to a renewable energy infrastructure (e.g., wind, solar, biofuels), energy projections beyond 2050 [2,4,5,6] suggest another pressing issue: increasing energy demand and fossil fuel depletion. There is a gap in the literature that combines the pressing issues of climate change and fossil fuel depletion. There is a need to approach global-scale interactions between the natural sciences and the social sciences using a systems approach [7]. The primary question we explore in this paper is whether or not uncertainty in fossil fuel reserve estimates and international development either negate or exacerbate the climate-based need to transition to a global renewable energy infrastructure. To investigate that question, here we examine six scenarios of global renewable energy expansion over the 21st century, including two per capita energy consumption, or PCC tracks, and three estimates of fossil fuel reserves.
In our study, we use global per capita energy consumption as a proxy for development/industrialisation. This proxy is supported by Lambert et al. [8], who determined that societal quality of life indices greatly improve in countries that consume 100–150 GJ/person. The first track in our study (projected consumption growth to 106 GJ/person by 2100) was tested in Jones and Warner [2]. That study used the average annual energy consumption [9] and population growth [10] trends from 2000–2014 to determine the rate at which PCC might increase with the UN population projections from Gerland et al. [10], finding that by 2100 the projected 11.2 billion global population [10] would require 994 EJ of non-hydropower renewable energy sources (RES), equivalent to the combined energy production of 12.6 million 5 MW wind turbines, 600,000 square kilometres of photovoltaic solar panels and 1.9 million square kilometres of open-pond algae biofuels production. This track forms the upper bound of per capita energy consumption in our study.
The second track assumes that there will be no growth in per capita energy consumption and that the global PCC will only change as a function of population growth. Though some individual societies, nations, and regions of the world exhibit declining PCC, the world average per capita has more than quintupled since 1900 and more than doubled since 1950 [2]. Wolfram et al. [11] argue that the largest growth in energy consumption will come from the least developed nations. As much as 20% of the world’s current population live with no access to modern energy [12]. The vast majority of the 2100 population projected by Gerland et al. [10] is expected to occur within the nations currently designated as least developed (i.e., 55% of the world population is projected in Sub-Saharan Africa and South Asia vs. 37% in 2017 [13]). Warner and Jones [4] calculated that, based on a constant PCC within each of the nine world regions, global PCC would decline from 75 GJ/person in 2014 to 58 GJ/person by 2100 as the population in the lower consuming regions of the world is projected to grow to a larger per cent of total global population. This track is similar to the 2000 Watt (63 GJ/person) society evaluated by Kesselring and Winter [14] and subsequently used in several studies [15,16,17,18,19]. This track differs from previous studies in that the lowered global average consumption in our track is achieved without changes in consumption, only by (projected) population growth in low-consuming countries. This track forms the lower bound of per capita energy consumption in our study.
In addition to the two per capita energy consumption tracks, this study examines three models of non-renewable energy sources (NRES) based on published reserve estimates. We have previously used the British Petroleum (BP) Statistical Review of World Energy 2015 [9] because the dataset is widely available, widely cited, and contains nearly 50 years of detailed data in one source. In addition to the BP [9] proven NRES reserves, the International Energy Agency (IEA) published Resources to Reserves in 2013 [20]. The report includes both proven and remaining recoverable resource estimates for oil and gas (both conventional and unconventional). The IEA proven reserve estimates are in close agreement with BP [9]. We will use the remaining recoverable resource estimates to create the “IEA model”. McGlade and Ekins [1] provide an estimate of the remaining fossil fuel reserves that must remain in the ground in order to prevent the average global temperature from exceeding 2 °C above the pre-industrial level. Though unlikely, we use these low-end fossil fuel reserve estimates to create the “2C model” to estimate the RES infrastructure timeline necessary to prevent potential negative effects of global climate change.
Our six scenarios represent a theoretical range of global energy production and consumption throughout the 21st century. The PCC tracks take into account both so-called “Malthusian” and ‘”cornucopian” visions for the future of development around the world [21]. The energy models are bounded by the highest end potential NRES potential and the lower end proven reserves. The 2C energy model serves the role of benchmark for our research question: whether or not uncertainty in fossil fuel reserve estimates and international development either negate or exacerbate the climate-based need to transition to a global renewable energy infrastructure. While it is certain that the RES requirements of the 2C model will be greater than either the Global or the IEA model, the magnitude of that difference will highlight the climate-independent need for 21st century renewable energy.

2. Results

The six scenarios in the model are resultant of the energy models (Figure 1a) and the PCC tracks (Figure 1b). The total NRES usable reserves range from 12,700 exajoules (EJ, 1018 Joules) in the 2C model, to 37,000 EJ in the Global model, and to 74,000 EJ in the IEA model. All fossil fuel energy production peaks in 2014 in the 2C model. Oil, natural gas, and coal peak in 2020, 2024, and 2047 respectively in the Global model (106 GJ/person). Including the additional reserves, the IEA model delays those peaks until 2072, 2055, and 2047 (coal is unchanged from the Global model). In the IEA model, under the median population projection and accompanying 106 GJ/person PCC by 2100, significant expansion of RES production (greater than 20 EJ) is not needed until 2041. This need presents itself in the year 2027 in the Global model and immediately in the 2C model. The doubling of oil and natural gas reserves from the Global to the IEA model results in only fourteen years of significant renewable expansion delay.
Table 1 lists the differences between the models in terms of actual RES infrastructure (using the RES breakdown as presented in Jones and Warner [2]). The 2C model RES demand is 9% higher than the Global model. The IEA model RES demand is 32% lower than the Global model demand. Despite the small difference in the year 2100, the 2C model requires approximately 2/3 of the 2100 RES infrastructure to be in place by the year 2050, whereas only 1/3 of the 2100 RES infrastructure is required by 2050 in the Global model. The 2C, global, and IEA models require 96, 89, and 59 times the current number of installed 5 MW equivalent wind turbines (~142,000 [9]) in 2100, respectively. The same figures are 152, 140 and 93 times the current area in 2100 for solar panels (~4300 km2 [9]). The oil and natural gas reserves included in the IEA model each are roughly three times larger than those reported in the Global model. Tripling the coal reserves from the Global model would result in roughly the energy equivalent of RES demanded throughout the IEA model. Replacing the RES demand in the IEA model with coal would be equivalent to 663 gigatonnes of hard coal at the cost of emitting 1800 additional gigatonnes of carbon dioxide equivalent (GtCO2) by 2100 in the 106 GJ/person PCC track and 38 tonnes of hard coal and 100 GtCO2 by 2100 in the 58 GJ/person PCC track. Replacing RES production in the 106 GJ/person track with coal would drive global cumulative emissions to nearly 6500 GtCO2 by 2100. This emissions scenario sets the world on track for 3.5 °C warming by 2100 [22].
Table 2 is comprised of the year 2100 results of each of the six scenarios run independently. The independent analysis accounts for a shifting of NRES energy production from the base models as depicted in Figure 1a to a demand-based projection. These analyses result in slightly different peak NRES plus hydropower dates (Table 3). The 2C model does not require any adjustment from the base model in order to account for the change in per capita energy demand.
Figure 2 depicts the modelled global energy mix from 1900 to 2100. Though the NRES shapes are slightly different for each PCC track in order to prevent energy oversupply (see Materials and Methods in Section 4), the 106 GJ/person growth track results are presented. Each of the three reserve models requires the same amount of energy within each track, as demand is not dependent on reserves or production. The growth of RES in the energy mix changes significantly based on both reserve model and PCC track. The 2014 global production of RES is ahead of schedule in the 58 GJ/person track in both the Global (Figure 2a) and the IEA models (Figure 2b). RES growth begins immediately in the 2C energy production model in both PCC tracks (Figure 2c) as well as the 106 GJ/person track of both the Global and the IEA model.

3. Discussion

First and foremost, the results indicate that the doubling of fossil fuel reserves from the Global to the IEA model does not have as drastic an impact on the RES transition timeline as one might assume. Accounting for additional possible oil and natural gas reserves allows for a more optimistic estimation of 21st century energy production; however, the issues of population growth and energy scarcity are only delayed in the most optimistic scenarios, not solved. Throughout all three energy production scenarios, per capita energy consumption has more of an impact on total RES demand in 2100 than reserve estimates. The Global model and the 2C model both project the peak of oil and natural gas production before the year 2030, yet world population is projected to increase 18% in that time. It is important to note that though resources (included for oil and gas in the IEA model) have been assumed to be exploitable, questions surrounding energy return on investment [26] may have a significant impact on the total recoverability of additional reserves. More likely, optimistic resource (rather than reserve) estimates are significantly overestimated [27]. In any case, aggressive expansion of RES is not projected to be necessary before 2030; that said, aggressive RES expansion will be necessary by the end of the century in each scenario.

3.1. Consumption Tracks

Per capita energy consumption is the flow rate of energy from the supply model to the population projections. Even in the absence of a PCC increase, population growth is a serious strain on any global energy infrastructure, much less one in transition to RES. In a world of eleven billion people, a change of ±1 gigajoules (GJ)/person results in ±11 EJ of energy demand. The global total production of non-hydropower RES was 13.3 EJ in 2014. The difference between a global PCC of 106 GJ/person and 58 GJ/person in 2100 is 520 EJ of total global energy production. The total global energy production in 2014 was 547.6 EJ.
In the developed world, PCC is well above the global average. While environmental concerns limit the extent to which developed economies consume energy, economic development and increasing the wellbeing of the citizenry determines the energy consumption of underdeveloped economies [15]. Initiatives such as the World Bank’s Sustainable Energy for All (SE4ALL) seek to provide universal access to modern electricity and cooking fuels by the year 2030 (World Bank, 2013). As such, we do not anticipate the global PCC declining at all, much less declining to 58 GJ/person by 2100.
As an economy grows, energy consumption grows as well [28]. The causality of this correlation is the subject of no small scholarly debate (see [29,30,31,32,33]). For a more detailed regional/national consideration of PCC and economic development see [4,8,34]. Regardless of causality, the correlation suggests that PCC will continue to grow. Moriarty and Honnery [24] projected that if everyone in the world consumed at the 2008 OECD average PCC, global energy production would need to be three times higher than the 2013 total. Differing trends in per capita energy consumption may have enabling or limiting effects on RES development. Varying the amount of energy available to the average global citizen has a drastic effect on not only the quality of one’s life, but on the RES stress of the world energy supply.

3.2. Reserve Estimates

Usable fossil fuels are referred to as resources. Recoverable resources are classified as one of three types of reserves: (1) Proven reserves are those that are confirmed to exist and have a 90% chance of being exploited (abbreviated as 1P); (2) probable reserves are those that have at least a 50% likelihood of production (abbreviated as 2P): (3) possible reserves are the remainder of the resource estimate that may or may not exist (abbreviated as 3P). These reserves are assigned a 10% chance of being exploited. The reserves used in the Global model are based on proven reserves [9]. The IEA model is based on proven, probable, and possible reserves [20].
Commonly, energy reserves are described in terms of, “we have x number of years of y energy left.” These statements reflect the reserves to production ratio (R:P). This is the total estimated remaining reserve divided by the previous year’s production. The problem with these ratios is that they do not factor in the increased or decreased use of the resource over time. At year-end 2014, the R:P for global coal was 110 years [9]. We did not address coal in the IEA model because the additional reserves estimated within the IEA Resources to Reserves 2013 were so high that the model would not require RES in any scenario; however, several factors limit the extraction of coal, and therefore global peak coal will more than likely occur before the year 2100 [35]. As an example, coal reserves are more than likely overestimated, and recovery of those estimates may be as low as 20% of the expected value in the United States [27]. We note that the IEA reserves of oil and natural gas are roughly triple the respective reserves of the Global model (i.e., [9]). The total cumulative RES demand within the IEA model (106 GJ/person) is roughly equivalent to twice the Global model coal reserves. However, including the coal resources estimated by the IEA more than eliminates the need for RES in either consumption track. Rather than model an IEA coal production, we can consider the RES requirements within the IEA model to represent a climate-based policy choice: The required energy may either be derived from RES or from the abundant coal reserves estimated by the IEA. Utilising coal in place of RES would however result in drastic changes in climate change mitigation and adaptation strategies. For example, in the 106 GJ/person track Global model, the world is on track for 2.5 °C warming (RCP 4.5–RCP 6.0) [2]. If coal is used in the IEA model, the emissions from the additional coal alone drive cumulative totals to 3.5 °C warming (RCP 6.0–RCP 8.5).
In addition, unconventional sources of oil and gas contribute a considerable fraction of total production [36]. US oil production had peaked at 11.3 million barrels per day in 1970 [9]. The recent boom in US oil production has surpassed the 1970 peak as the US averaged 11.6 million barrels per day in 2014 [9], but has since dropped to 10.7 million barrels per day as of 2016 [37]. The resurgence has been attributed to tight production. Most of the tight production in the United States is from small sweet spots and exhibit sharp and predictable depletion rates [38,39]. Aided by the recent drop in oil prices worldwide, the boom has called into question the notion of peak oil. In fact, global conventional crude oil production has been relatively constant for nearly a decade [40]. It seems likely that continued depletion of conventional resources will keep the market favourable for tight oil and gas [41] and the oil inelastic price phase as suggested by Murray and King [40] may have been a temporary anomaly. Tight oil and gas reserves are not likely as expansive as initially estimated [42]. Despite the potential health and environmental risks [43], tight gas production will be necessary towards smoothing the drop in conventional gas production that is projected by mid-century [39,44].

3.3. The Hubbert Model

Several curve-fitting models have been used to project future non-renewable resource extraction. Reynolds and Baek [45] examined several variants and found the best method varied based on the level of production investigated, though the single-cycle Hubbert logistic model performed adequately at the largest aggregation levels. Brandt [46] rigorously tested several aspects of the Hubbert model and found that Hubbert models were not likely to vary (by methodology) significantly in predicted peak date, though it was emphasised that no single methodology was universally applicable and a more broad application of Hubbert theory (developing a family of predictive curves) would best suit predictions of future production.
Similar studies have focused on coal, natural gas, uranium and total non-renewable energy sources. Hook et al. [35] found that simple logistic model results of regional and global coal production were comparable to more complex, variable-laden models. Mohr et al. [5], Maggio and Cacciola [6], and Mediavilla et al. [47] each modelled oil, coal, and natural gas production throughout the 21st century and beyond, finding in each case that fossil fuel production is likely to peak by 2100. Based on the results of this (and additional) literature, we feel confident in using the single-cycle Hubbert model in our analysis.

3.4. The Six Scenarios

Of the six scenarios developed in this study, five require over 30 EJ of RES production by the year 2050. The sixth scenario is the 58 GJ/person by 2100 track and the full exploitation of the IEA remaining oil and natural gas resources. The IEA estimates of remaining coal resources allow renewable energy to remain essentially unutilised. Policy makers must strike a balance between climate change, energy demands and development. The remaining NRES reserves remain the cheapest and easiest solution to the increasing energy demand. The infrastructure is in place and the technology is mature. As technology improves, the amount of these resources made available for exploitation will also increase. Figure 1b illustrates that there were few declines and no sustained decreases in per capita energy consumption in the 20th century. It is almost a certainty that global energy consumption will continue to increase during the 21st century. The reserve-limitations in the 2C model are unrealistic and the proven reserves used in the Global model are all but certainly going to be consumed [2].

3.5. Sustainable Development Goals

Prior to COP21, the General assembly of the United Nations identified seventeen sustainable development goals for the 21st century [48]. Affordable and clean energy is goal number seven and climate action is goal number thirteen. However, the results of this work suggest deeper meaning to the United Nations claim that each of the goals is “integrated and indivisible”. Energy production and consumption goals are in many ways in conflict with climate actions plans. This is due to the current dominance of carbon-based energy production at the global level. Renewable energy and climate change concerns in the United States, the European Union, and the Russian Federation are vastly different than those in India, China, and Sub-Saharan Africa.
For example, the government structure of India creates a more complex geo-economic transition focused more on securing future energy supplies than on cooperating towards global goals [49]. India’s contribution to the Paris Agreement stressed the difference between consumption and emission rates in India and the developed world, and noted the importance of energy consumption to improving a nation’s human development index. Additional studies are needed to build on policy implications for different economies. Our future work includes plans to bring this type of analysis to the regional and national level.
Additionally, who makes the decision as to who can and cannot burn these fuels: the developed nations, the highest emitting yet most capable of moving towards RES infrastructure, or the least developed, the lowest emitting but attempting to catch up to the developed nations? The social and political challenges to distributing the remaining allowable carbon emissions do not excuse the biophysical reality of the situation [50]. In preventing a global climate change of 2 °C or greater, the peaking of carbon-intensive energy production must be made imminent. We do not believe the 2C model to be relevant for any purpose other than highlighting the climate change issue and providing a high-end estimate of RES demand throughout the century. This is due to the rate of growth required from renewable energy in order to satisfy the world’s energy demand see [2,3]. What is clear from these scenarios is that whether focus is placed on limiting anthropogenic global warming, increasing global quality of life, international development, or providing for energy security, RES infrastructure is the common route toward providing for future generations.

4. Materials and Methods

4.1. Conceptual Methodology

This paper serves secondarily as a focus on the sensitivity of Jones and Warner [2] to both estimates of per capita energy consumption and the uncertainty of oil and natural gas reserve estimates. We developed six energy consumption and reserve scenarios. The Jones and Warner [2] model (the Global model) used proved reserve estimates from the BP Statistical Review of World Energy [9] and applied a single-cycle Hubbert logistic model [51] to project 21st century production of non-renewable energy sources (NRES). Combined with 21st century population projections from Gerland et al. [10], the Global model projected the renewable energy source (RES) demand and makeup (i.e., wind turbines, solar panels, and biofuel algae ponds) required to keep up with the projected 21st century global energy demand.
The Global model was a three-body model. We built the model on estimates and projections of population, energy production, and energy consumption. Population is the one aspect of the model that will not be varied throughout this study. As UN population projections are the most commonly cited projection within scientific studies as well as media reports [52], we used the same Gerland et al. [10] projections used in Jones and Warner [2]. Energy production was projected from estimates provided by BP [9] in the Global model, the IEA additional reserves [20] in the IEA model, and from the 2 °C climate change reserve estimates from McGlade and Ekins [1]. The third body of the model is PCC. As an economy grows, energy consumption grows as well [28]. The causality of this correlation is the subject of no small scholarly debate (see [29,30,31,32,33]). For a more detailed regional/national consideration of PCC and economic development see [4,8]. Regardless of causality, the correlation suggests that PCC will continue to grow. We developed six energy consumption and reserve scenarios comprised of two PCC tracks and three sets of NRES reserve estimates.

4.2. Per Capita Energy Consumption

The energy consumption portion of the analysis used the Jones and Warner [2] PCC projection and a zero-growth differential population growth projection from Warner and Jones [4]. The first track projection reaches 106 GJ/person in the year 2100. This scenario is supported by the findings of Lambert et al. [8] in that quality of life indices were found to begin to saturate at levels above 100 GJ/person and ultimately saturate at ~150 GJ/person. Warner and Jones [4] modelled nine world regions in a manner similar to Jones and Warner [2] and determined that zero per capita energy consumption change in the nine regions would result in a global PCC decline to 58 GJ/person by 2100. This is due to differential population growth in developing low-consuming countries and developed high-consuming countries. This second track is a low end scenario and the track is similar to the 2000 W/person sustainable energy consumption of 63 GJ/person suggested in Kesselring and Winter [14].

4.3. Energy Modelling

The peak energy portion of the Jones and Warner model [2] was constructed using raw production/consumption data by resource from 1900–2014 [9,53,54,55,56]. All units were converted into exajoules. The modelling utilised the single-cycle Hubbert modelling approach [51,57] to forecast global oil, coal, natural gas and nuclear production throughout the remainder of the 21st century.
Additional assumptions within Jones and Warner [2] include: that the energy that each of these sources provides is interchangeable with any of the others at 100% efficiency and that the energy will be allocated as needed, regardless of political borders, that the estimated total global hydroelectric potential of 52.5 EJ [58] could be built out by the year 2100, and that the energy required to build the RES infrastructure is included in the rise in energy consumption.
We then multiplied each year’s per capita demands by the year’s global population to derive each year’s global energy demand and compared the demand with each year’s projected hydropower and NRES production. The results are year-by-year global surplus or deficit of energy availability figures. Our model then required that any inability for the NRES and hydropower resources to support the projected population must be made up by the RES sources.
We created two additional energy production models (2C and IEA). The methodology was the same in each model. The difference is in oil and natural gas reserve values. Our first model (IEA) uses reserve and additional resource data from the IEA Resources to Reserves 2013 [20]. Coal, nuclear energy and hydropower projections were unchanged between these two models. Our third model (2C) limits fossil fuel consumption to the levels suggested in McGlade and Ekins [1] to be necessary in order to avoid increasing the average global temperature more than 2 °C beyond pre-industrial levels. We used the numbers required in a world without extensive carbon capture systems because, though negative emissions in the second half of the 21st century are necessary to keeping the climate change target, the questions as to the physical capabilities of long-term carbon capture, the biophysical responses, the costs, and the social barriers of carbon capture systems make relying on these systems in future projections risky [59]. Using the same frameworks as the first two models, the oil, coal, and natural gas reserves were replaced with the usable fossil fuel reserves projected for the non-carbon capture scenario within McGlade and Ekins [24].
We ran both PCC tracks with NRES and hydropower production values from the global, the IEA, and the 2C model for a total of six scenarios. When necessary, we then ran each scenario independently to adjust the NRES production values for different energy demands. This prevents the RES demand from dropping below zero exajoules. The scaling of the RES demands in each scenario follows the same methodology as in Jones and Warner [2].

5. Conclusions

This study illustrates the importance of renewable energy in the future global energy supply, regardless of climate change or related policies. We have also expanded the range of estimates for future RES production calculated in Jones and Warner [2]. NRES reserves are likely to be higher than those used in the Global model, but less than those used in the IEA model. Even in theory, the 2C model does not appear practical [2]. A key insight in this study is that including the IEA additional reserves allows for a smoother transition towards a fully renewable energy infrastructure. At any rate, it seems likely that fossil fuel production will peak in the 21st century. There are two significant limitations to rapid renewable infrastructure growth: first, becoming the prime component of global energy consumption has historically taken over half a century of development [3]; second, renewable energy remains in competition with pre-peak production of higher EROI fossil fuels.
We have modelled both energy reserves and PCC independently and combined the results. We do not take into account non-energy source scarcity projections such as copper [60], lithium [61], or phosphorus [62]. If the ramifications of burning the fossil fuel reserves of the Global model exceed climate change goals, then the transition to RES must begin immediately. Otherwise, the world may be heading towards exploitation of fossil fuels on par with the IEA model. Again, developing RES infrastructure is a requirement of each scenario. There is need for more studies integrated into global, regional, and national plans for socio-economic development and climate/environmental resource conservation.
Increased per capita energy availability (especially for women) is associated with many shifts in demographic trends (most notably in fertility rates) [8]. Economic development and energy access in these regions could drastically alter the population projections made by Gerland et al. [10]. It is entirely possible that a large investment in projects such as the World Bank’s Sustainable Energy for All Initiative may serve to “bend” the population projections towards lower numbers by the end of the century. However, without drastic and rapid changes in fertility rates, the population issue will only become a greater ecological stress [63]. The current population projections do not explicitly account for energy availability.
It is important to note that both NRES and RES will be required throughout the 21st century. Energy production and security are important foci for governments around the world; however, the implications of per capita energy consumption statistics cannot be ignored in 21st century policymaking. Consumption growth or decline of 1 GJ/person results in a corresponding 1 EJ change in energy consumption per billion people. If the 2014 global population had consumed 2 GJ/person more (+14.5 EJ), it would have negated the 2014 global total production of non-hydropower RES (13.3 EJ). As such, significant growth in renewable energy will be required throughout the 21st century, regardless of climate change considerations.
This study was conceived as an initial quantitative look at the importance of global fossil fuel reserve estimates and development goals to one another. By including gratuitous oil and natural gas reserve estimates, renewable energy investment is only delayed, not unnecessary. If the UN population projections are reliable, only in the case of fossil fuel reserves and declining global per capita energy consumption (combined with allowing for >3.5 °C warming above pre-industrial levels) may it be considered needless to invest in the RES transition. Though three nations remain holdouts from the 2015 Paris Agreement, it is our recommendation that the remaining nations work together to establish effective policies aimed at including in addition to the efforts to reduce carbon emissions. While this conclusion is hardly novel, we have provided numbers that illustrate the need for immediate action.

Acknowledgments

Kevin J. Warner supported in part by R & H Jenswold and J & J Whitworth fellowships. Glenn A. Jones supported in part by Texas Institute of Oceanography. The funding sources did not have any involvement in the design, data collection, analysis, interpretation, writing, or publication of this article.

Author Contributions

Jones and Warner conceived and designed the models; Warner created and ran the models; Warner wrote the paper with significant input from Jones.

Conflicts of Interest

The authors declare no conflict of interest.

Abbreviations

The following abbreviations are used in this manuscript:
GJGigajoule(s) (109 Joules)
TJTerajoule(s) (1012 Joules)
EJExajoule(s) (1018 Joules)
ZJZetajoule(s) (1021 Joules)
PCCPer Capita energy Consumption
NRESNon-Renewable Energy Sources
RESRenewable Energy Sources
IEAInternational Energy Agency
BPBritish Petroleum
IPCCIntergovernmental Panel on Climate Change
OECDOrganisation for Economic Co-operation and Development
UNUnited Nations

References

  1. McGlade, C.; Ekins, P. The geographical distribution of fossil fuels unused when limiting global warming to 2 degrees C. Nature 2015, 517, 187–190. [Google Scholar] [CrossRef] [PubMed]
  2. Jones, G.A.; Warner, K.J. The 21st century population-energy-climate nexus. Energy Policy 2016, 93, 206–212. [Google Scholar] [CrossRef]
  3. Smil, V. The Long Slow Rise of Solar and Wind. Sci. Am. 2014, 310, 52–57. [Google Scholar] [CrossRef] [PubMed]
  4. Warner, K.J.; Jones, G.A. A population-induced renewable energy timeline in nine world regions. Energy Policy 2017, 101, 65–76. [Google Scholar] [CrossRef]
  5. Mohr, S.H.; Wang, J.; Ellem, G.; Ward, J.; Giurco, D. Projection of world fossil fuels by country. Fuel 2015, 141, 120–135. [Google Scholar] [CrossRef]
  6. Maggio, G.; Cacciola, G. When will oil, natural gas, and coal peak? Fuel 2012, 98, 111–123. [Google Scholar] [CrossRef]
  7. Balint, T.; Lamperti, F.; Mandel, A.; Napoletano, M.; Roventini, A.; Sapio, A. Complexity and the economics of climate change: A survey and a look forward. Ecol. Econ. 2017, 138, 252–2650. [Google Scholar] [CrossRef]
  8. Lambert, J.G.; Hall, C.A.S.; Balogh, S.; Gupta, A.; Arnold, M. Energy, EROI and quality of life. Energy Policy 2014, 64, 153–167. [Google Scholar] [CrossRef]
  9. British Petroleum (BP). BP Statistical Review of World Energy 2015; British Petroleum: London, UK, 2015. [Google Scholar]
  10. Gerland, P.; Raftery, A.E.; Sevcikova, H.; Li, N.; Gu, D.A.; Spoorenberg, T.; Alkema, L.; Fosdick, B.K.; Chunn, J.; Lalic, N.; et al. World population stabilization unlikely this century. Science 2014, 346, 234–237. [Google Scholar] [CrossRef] [PubMed]
  11. Wolfram, C.; Shelef, O.; Gertler, P. How Will Energy Demand Develop in the Developing World? J. Econ. Perspect. 2012, 26, 119–137. [Google Scholar] [CrossRef]
  12. Banerjee, S.G.; Bhatia, M.; Azuela, G.E.; Jaques, I.; Sarkar, A.; Portale, E.; Bushueva, I.; Angelou, N.; Inon, J.G. Global Tracking Framework, Sustainable Energy for All; The World Bank: Washington, DC, USA, 2013. [Google Scholar]
  13. UN. World Population Prospects: The 2015 Revision, July 2015 ed.; United Nations, Department of Economic and Social Affairs, Population Division: New York, NY, USA, 2015. [Google Scholar]
  14. Kesselring, P.; Winter, C. World energy scenarios: A two-kilowatt society-plausible future or illusion. In Energy Days 94. Proceedings; Paul Scherrer Institut: Villigen, Switzerland, 1995. [Google Scholar]
  15. Spreng, D. Distribution of energy consumption and the 2000 W/capita target. Energy Policy 2005, 33, 1905–1911. [Google Scholar] [CrossRef]
  16. Smalley, R.E. Future global energy prosperity: The terawatt challenge. MRS Bull. 2005, 30, 412–417. [Google Scholar] [CrossRef]
  17. Schelling, T. On the Road to the 2000-Watt-Society Swiss Standards and their Implementation in sustainable Library Construction Projects. In Green Library: The Challenge of Environmental Sustainability; Hauke, P., Latimer, K., Werner, K.U., Eds.; Walter De Gruyter Gmbh: Berlin, Germany, 2013; Volume 161, pp. 107–122. [Google Scholar]
  18. Schulz, T.F.; Kypreos, S.; Barreto, L.; Wokaun, A. Intermediate steps towards the 2000 W society in Switzerland: An energy-economic scenario analysis. Energy Policy 2008, 36, 1303–1317. [Google Scholar] [CrossRef]
  19. Stulz, R.; Tanner, S.; Sigg, R. Swiss 2000-Watt Society: A Sustainable Energy Vision for the Future. In Energy, Sustainability and the Environment: Technology, Incentives, Behavior; Butterworth-Heinemann: Oxford, UK, 2011; pp. 477–496. [Google Scholar]
  20. IEA. Resources to Reserves 2013; IEA: Paris, France, 2013. [Google Scholar]
  21. Chenoweth, J.; Feitelson, E. Neo-Malthusians and Cornucopians put to the test: Global 2000 and The Resourceful Earth revisited. Futures 2005, 37, 51–72. [Google Scholar] [CrossRef]
  22. Pachauri, R.K.; Allen, M.; Barros, V.; Broome, J.; Cramer, W.; Christ, R.; Church, J.; Clarke, L.; Dahe, Q.; Dasgupta, P. Climate Change 2014: Synthesis Report, Contribution of Working Groups I, II and III to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change; Intergovernmental Panel on Climate Change: Geneva, Switzerland, 2014. [Google Scholar]
  23. EIA. Electric Power Monthly with Data for November 2015; US Department of Energy: Washington, DC, USA, 2016.
  24. Moriarty, P.; Honnery, D. What is the global potential for renewable energy? Renew. Sustain. Energy Rev. 2012, 16, 244–252. [Google Scholar] [CrossRef]
  25. Benemann, J. Microalgae for Biofuels and Animal Feeds. Energies 2013, 6, 5869–5886. [Google Scholar] [CrossRef]
  26. Gagnon, N.; Hall, C.A.S.; Brinker, L. A Preliminary Investigation of Energy Return on Energy Investment for Global Oil and Gas Production. Energies 2009, 2, 490–503. [Google Scholar] [CrossRef]
  27. Reaver, N.G.F.; Khare, S.V. Imminence of peak in US coal production and overestimation of reserves. Int. J. Coal Geol. 2014, 131, 90–105. [Google Scholar] [CrossRef]
  28. Kraft, J.; Kraft, A. Relationship between Energy and Gnp. J. Energy Dev. 1978, 3, 401–403. [Google Scholar]
  29. Soytas, U.; Sari, R. Energy consumption and GDP: Causality relationship in G-7 countries and emerging markets. Energy Econ. 2003, 25, 33–37. [Google Scholar] [CrossRef]
  30. Jumbe, C.B.L. Cointegration and causality between electricity consumption and GDP: Empirical evidence from Malawi. Energy Econ. 2004, 26, 61–68. [Google Scholar] [CrossRef]
  31. Lee, C.C. Energy consumption and GDP in developing countries: A cointegrated panel analysis. Energy Econ. 2005, 27, 415–427. [Google Scholar] [CrossRef]
  32. Narayan, P.K.; Popp, S. The energy consumption-real GDP nexus revisited: Empirical evidence from 93 countries. Econ. Model. 2012, 29, 303–308. [Google Scholar] [CrossRef]
  33. Akkemik, K.A.; Goksal, K. Energy consumption-GDP nexus: Heterogeneous panel causality analysis. Energy Econ. 2012, 34, 865–873. [Google Scholar] [CrossRef]
  34. Hall, C.A.S.; Lambert, J.G.; Balogh, S.B. EROI of different fuels and the implications for society. Energy Policy 2014, 64, 141–152. [Google Scholar] [CrossRef]
  35. Höök, M.; Zittel, W.; Schindler, J.; Aleklett, K. Global coal production outlooks based on a logistic model. Fuel 2010, 89, 3546–3558. [Google Scholar] [CrossRef]
  36. Murray, J.W.; Hansen, J. Peak oil and energy independence: Myth and reality. EOS Trans. Am. Geophys. Union 2013, 94, 245–246. [Google Scholar] [CrossRef]
  37. IEA. Monthly Oil Statistics, in 19/01/2017 ed.; International Energy Agency: Paris, France, 2017; p. 38. [Google Scholar]
  38. Patzek, T.W.; Male, F.; Marder, M. Gas production in the Barnett Shale obeys a simple scaling theory. Proc. Natl. Acad. Sci. USA 2013, 110, 19731–19736. [Google Scholar] [CrossRef] [PubMed]
  39. Guo, K.; Zhang, B.; Aleklett, K.; Höök, M. Production Patterns of Eagle Ford Shale Gas: Decline Curve Analysis Using 1084 Wells. Sustainability 2016, 8, 973. [Google Scholar] [CrossRef]
  40. Murray, J.; King, D. Oil‘s tipping point has passed. Nature 2012, 481, 433–435. [Google Scholar] [CrossRef] [PubMed]
  41. Brandt, A.R.; Englander, J.; Bharadwaj, S. The energy efficiency of oil sands extraction: Energy return ratios from 1970 to 2010. Energy 2013, 55, 693–702. [Google Scholar] [CrossRef]
  42. Inman, M. The Fracking Fallacy. Nature 2014, 516, 28–30. [Google Scholar] [CrossRef] [PubMed]
  43. Finkel, M.L.; Law, A. The Rush to Drill for Natural Gas: A Public Health Cautionary Tale. Am. J. Public Health 2011, 101, 784–785. [Google Scholar] [CrossRef] [PubMed]
  44. Melikoglu, M. Shale gas: Analysis of its role in the global energy market. Renew. Sustain. Energy Rev. 2014, 37, 460–468. [Google Scholar] [CrossRef]
  45. Reynolds, D.B.; Baek, J. Much ado about Hotelling: Beware the ides of Hubbert. Energy Econ. 2012, 34, 162–170. [Google Scholar] [CrossRef]
  46. Brandt, A.R. Testing Hubbert. Energy Policy 2007, 35, 3074–3088. [Google Scholar] [CrossRef]
  47. Mediavilla, M.; de Castro, C.; Capellan, I.; Miguel, L.J.; Arto, I.; Frechoso, F. The transition towards renewable energies: Physical limits and temporal conditions. Energy Policy 2013, 52, 297–311. [Google Scholar] [CrossRef]
  48. Raupach, M.R.; Davis, S.J.; Peters, G.P.; Andrew, R.M.; Canadell, J.G.; Ciais, P.; Friedlingstein, P.; Jotzo, F.; van Vuuren, D.P.; Le Quere, C. Sharing a quota on cumulative carbon emissions. Nat. Clim. Chang. 2014, 4, 873–879. [Google Scholar] [CrossRef]
  49. UN. United Nations General Assembly Draft Outcome Document of the United Nations Summit for the Adoption of the Post-2015 Development Agenda. Available online: http://www.un.org/ga/search/view_doc.asp?symbol=A/69/L.85&Lang=E (accessed on 23 February 2017).
  50. Chacko, P. The New Geo-Economics of a “Rising“ India: State Transformation and the Recasting of Foreign Policy. J. Contemp. Asia 2015, 45, 326–344. [Google Scholar] [CrossRef]
  51. Hubbert, M.K. Techniques of Prediction as Applied to the Production of Oil and Gas; National Bureau of Standards: Gaithersburg, MD, USA, 1982.
  52. Lutz, W.; Samir, K.C. Dimensions of global population projections: What do we know about future population trends and structures? Philos. Trans. R. Soc. B 2010, 365, 2779–2791. [Google Scholar] [CrossRef] [PubMed]
  53. ASPO. The Oil Age: World Oil Production 1859–2050; The Association for the Study of Peak Oil: Ann Arbor, Michigan, USA, 2006. [Google Scholar]
  54. Rutledge, D. Estimating long-term world coal production with logit and probit transforms. Int. J. Coal Geol. 2011, 85, 23–33. [Google Scholar] [CrossRef]
  55. Laherrère, J.H. Future of natural gas supply. 2004. In Proceedings of the 3rd International Workshop on Oil & Gas Depletion, Berlin, Germany, 25–26 May 2004. [Google Scholar]
  56. WNA. Supply of Uranium. Available online: http://www.world-nuclear.org/info/Nuclear-fuel-cycle/Uranium-Resources/Supply-of-Uranium/ (accessed on 27 July 2014).
  57. Hubbert, M.K. Nuclear Energy and the Fossil Fuels; Drilling and production practice, 1956; American Petroleum Institute: Washington, DC, USA, 1956. [Google Scholar]
  58. Seyboth, K.; Matschoss, P.; Kadner, S.; Zwickel, T.; Eickemeier, P.; Hansen, G.; Schlmer, S.; von Stechow, C. IPCC Special Report on Renewable Energy Sources and Climate Change Mitigation; Intergovernmental Panel on Climate Change: Lücbeck, Germany, 2011. [Google Scholar]
  59. Fuss, S.; Canadell, J.G.; Peters, G.P.; Tavoni, M.; Andrew, R.M.; Ciais, P.; Jackson, R.B.; Jones, C.D.; Kraxner, F.; Nakicenovic, N.; et al. Betting on negative emissions. Nat. Clim. Chang. 2014, 4, 850–853. [Google Scholar] [CrossRef] [Green Version]
  60. Kerr, R.A. The Coming Copper Peak. Science 2014, 343, 722–724. [Google Scholar] [CrossRef] [PubMed]
  61. Vikstrom, H.; Davidsson, S.; Hook, M. Lithium availability and future production outlooks. Appl. Energy 2013, 110, 252–266. [Google Scholar] [CrossRef]
  62. Cordell, D.; White, S. Peak Phosphorus: Clarifying the Key Issues of a Vigorous Debate about Long-Term Phosphorus Security. Sustainability 2011, 3, 2027–2049. [Google Scholar] [CrossRef]
  63. Bradshaw, C.J.A.; Brook, B.W. Human population reduction is not a quick fix for environmental problems. Proc. Natl. Acad. Sci. USA 2014, 111, 16610–16615. [Google Scholar] [CrossRef] [PubMed]
Figure 1. Conditions of the six scenarios: (a) Fossil fuel production for each model’s reserve values, 1960–2100. 2C, global, and International Energy Agency (IEA) projection of fossil fuel production are represented by line types. Coal follows global track in the IEA model; (b) Two per capita energy consumption tracks, 1900–2100.
Figure 1. Conditions of the six scenarios: (a) Fossil fuel production for each model’s reserve values, 1960–2100. 2C, global, and International Energy Agency (IEA) projection of fossil fuel production are represented by line types. Coal follows global track in the IEA model; (b) Two per capita energy consumption tracks, 1900–2100.
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Figure 2. Global energy mixture profile by fossil fuel reserve scenario, 1900–2100. Relative to both of the energy consumption tracks. NRES curves are from the 106 GJ/person by 2100 per capita energy consumption (PCC) track. (a) 2C model (14.2 ZJ); (b) Global model (36.9 ZJ); (c) IEA model (74.0 ZJ).
Figure 2. Global energy mixture profile by fossil fuel reserve scenario, 1900–2100. Relative to both of the energy consumption tracks. NRES curves are from the 106 GJ/person by 2100 per capita energy consumption (PCC) track. (a) 2C model (14.2 ZJ); (b) Global model (36.9 ZJ); (c) IEA model (74.0 ZJ).
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Table 1. Renewable energy sources (RES) requirements of each non-renewable energy sources (NRES) reserve model in the year 2100. Based on the projected growth per capita energy consumption scenario (106 GJ/person by 2100) and 2100 population of 11.2 billion. The 2C model requires 9% more RES production than the Global model. The IEA model requires 32% less RES production than the Global model. Area is relative to the land area of the most similarly sized country and does not denote any other implications.
Table 1. Renewable energy sources (RES) requirements of each non-renewable energy sources (NRES) reserve model in the year 2100. Based on the projected growth per capita energy consumption scenario (106 GJ/person by 2100) and 2100 population of 11.2 billion. The 2C model requires 9% more RES production than the Global model. The IEA model requires 32% less RES production than the Global model. Area is relative to the land area of the most similarly sized country and does not denote any other implications.
RES Source2C Model2C Model AreaGlobal ModelGlobal Model AreaIEA ModelIEA Model Area
5 MW Wind Turbine Equation 113,700,000N/A12,600,000N/A8,500,000N/A
Solar Panel Area (km2) 2654,300Afghanistan598,000Ukraine406,800Paraguay
Algae Biofuel Area (km2) 32,004,900Mexico1,900,000Sudan1,274,600Niger
Notes: 1 Based on 47.3 terajoules (TJ)/turbine. Conversion based on data in [23]; 2 Based on value of 414 TJ/km2 [24]; 3 Based on 79.3 GJ/km2. Conversion based on data in [25].
Table 2. Results of each of the six NRES reserves and per capita energy consumption scenarios. Results for the year 2100. Assumes median global population growth from Gerland et al. [10]. NRES + H = Non-renewable energy sources plus hydropower.
Table 2. Results of each of the six NRES reserves and per capita energy consumption scenarios. Results for the year 2100. Assumes median global population growth from Gerland et al. [10]. NRES + H = Non-renewable energy sources plus hydropower.
PCC Track2C ModelGlobal ModelIEA Model
106 GJ/person by 210062 EJ NRES + H
1146 EJ Demand
1084 EJ RES
152 EJ NRES + H
1146 EJ Demand
994 EJ RES
472 EJ NRES + H
1146 EJ Demand
674 EJ RES *
58 GJ/person by 210062 EJ NRES + H
626 EJ Demand
564 EJ RES
198 EJ NRES + H
626 EJ Demand
428 EJ RES
531 EJ NRES + H
626 EJ Demand
95 EJ RES *
Note: * denotes RES demand that may be supplied via coal.
Table 3. Peak non-renewable energy sources plus hydropower production dates and values within the global and IEA reserve models, dependent upon each PCC track.
Table 3. Peak non-renewable energy sources plus hydropower production dates and values within the global and IEA reserve models, dependent upon each PCC track.
PCC TrackGlobal ModelIEA Model
106 GJ/person by 21002032, 678 EJ2052, 847 EJ
58 GJ/person by 21002026, 573 EJ2066, 637 EJ

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Warner, K.J.; Jones, G.A. The Climate-Independent Need for Renewable Energy in the 21st Century. Energies 2017, 10, 1197. https://doi.org/10.3390/en10081197

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