Clean and secure energy for the twenty-first century

Author(s):  
I Fells

“As energy demand world-wide continues to rise, fuelling the expanding economy, the twin problems of security of supply and rising carbon dioxide emissions have risen high in the global agenda. Can economic growth be sustained without increasing energy demand? Is the prospect of global warming and the destabilisation of the weather machine so daunting that a global carbon tax should be instituted? Can renewable energy replace fossil fuel in the next 50 years? Will nuclear energy re-emerge as the high technology solution to our problems?”

2011 ◽  
Vol 133 (01) ◽  
pp. 24-29 ◽  
Author(s):  
John Reilly ◽  
Allison Crimmins

This article predicts future global energy demand under a business-as-usual scenario. According to the MIT projections, conventional technology supported by fossil fuels will continue to dominate under a business-as-usual scenario. In fact, in the absence of climate policies that would impact energy prices, fossil fuels will supply nearly 80% of global primary energy demand in 2100. Alternative energy technologies will expand rapidly. Non-fossil fuel use will grow from 13% to 20% by 2100, with renewable electricity production expanding nearly tenfold and nuclear energy increasing by a factor of 8.5. However, those sources currently provide such a small share of the world's energy that even rapid growth is not enough to significantly displace fossil fuels. In spite of the growth in renewables, the projections indicate that coal will remain among the least expensive fuel sources. Non-fossil fuel alternatives, such as renewable energy and nuclear energy, will be between 40% and 80% more expensive than coal.


2020 ◽  
Vol 20 (1) ◽  
pp. 25-44
Author(s):  
Sahin Akkaya ◽  
Ufuk Bakkal

AbstractResearch background: Insufficient global cooperation in carbon pricing against global warming has the risk of global carbon emissions rise because of carbon leakage. The effect of a carbon tax on the present supply of fossil fuels is also valuable in regard to global carbon emissions.Purpose: The purpose of this study is to gain more insights into the effects of carbon leakage along with the green paradox on global carbon emissions by reviewing the relevant literature.Research methodology: We provide the problem linked to carbon leakage and the green paradox in the introduction. Then, the effects of carbon leakage and the green paradox on global carbon emissions are elaborated separately. Finally the mutual effects of carbon leakage and the green paradox are reviewed comprehensively.Results: It is seen that various factors like interest rates, fossil fuel extraction costs, the fossil fuel reserves to be discovered in the future and carbon tax incidence are equally important determinants in regard to global carbon emissions.Novelty: This study provides an insight into the mutual effects of carbon leakage and the green paradox on global carbon emissions by reviewing the primary literature in the field.


Author(s):  
Nick Jelley

Over 700 entriesThis new dictionary covers terms related to energy technologies and their impact on the world’s energy use. It sets out the principles behind each technology’s operation, as well as its economic, environmental, and social impacts. Coverage includes energy demand and conservation, electricity generation and distribution, energy storage, renewable energy and fossil fuel technologies, nuclear energy, environmental issues, energy and society, and biographies of eminent energy scientists. The text is complemented by illustrations, a chronology, and global statistics on energy use.This topical dictionary appears at a time when the development of alternative technologies to fossil fuel is particularly important in trying to limit global warming, and is significantly affected by energy policy and politics. It is an invaluable resource for students of science, geography, and economics, and for professionals in energy-related industries.


2014 ◽  
Vol 73 (4) ◽  
pp. 989-1000 ◽  
Author(s):  
Karen L. Thornber

The term “Anthropocene,” coined in the 1980s by the ecologist Eugene F. Stoermer and popularized at the turn of the twenty-first century by the atmospheric chemist and Nobel laureate Paul Crutzen, has been used increasingly in the past decade to highlight human activity as a geological force and to underscore the rapidly escalating impacts of human behaviors on the planet—sufficient, many have argued, to launch a new geological age. While geologists and environmentalists continue to debate the validity of Anthropocene as a formal designation, climate change; mass extinctions of plant and animal species; and widespread pollution of sky, sea, and land make clear the extent to which humans have shaped global ecologies. An understanding of Asia—home to more than half the world's population, an increasingly significant contributor to global carbon dioxide emissions, the site of the Third Pole, and an area acutely vulnerable to climate change and rising sea levels—is vital to an understanding of the physical, chemical, biological, and cultural processes that comprise the Anthropocene.


2021 ◽  
Vol 13 (10) ◽  
pp. 5720
Author(s):  
Han Phoumin ◽  
Sopheak Meas ◽  
Hatda Pich An

Many players have supported infrastructure development in the Mekong Subregion, bridging the missing links in Southeast Asia. While the influx of energy-related infrastructure development investments to the region has improved the livelihoods of millions of people on the one hand, it has brought about a myriad of challenges to the wider region in guiding investments for quality infrastructure and for promoting a low-carbon economy, and energy access and affordability, on the other hand. Besides reviewing key regional initiatives for infrastructure investment and development, this paper examines energy demand and supply, and forecasts energy consumption in the subregion during 2017–2050 using energy modeling scenario analysis. The study found that to satisfy growing energy demand in the subregion, huge power generation infrastructure investment, estimated at around USD 190 billion–220 billion, is necessary between 2017 and 2050 and that such an investment will need to be guided by appropriate policy. We argue that without redesigning energy policy towards high-quality energy infrastructure, it is very likely that the increasing use of coal upon which the region greatly depends will lead to the widespread construction of coal-fired power plants, which could result in increased greenhouse gas and carbon dioxide emissions.


2014 ◽  
Vol 7 (5) ◽  
pp. 1901-1918 ◽  
Author(s):  
J. Ray ◽  
V. Yadav ◽  
A. M. Michalak ◽  
B. van Bloemen Waanders ◽  
S. A. McKenna

Abstract. The characterization of fossil-fuel CO2 (ffCO2) emissions is paramount to carbon cycle studies, but the use of atmospheric inverse modeling approaches for this purpose has been limited by the highly heterogeneous and non-Gaussian spatiotemporal variability of emissions. Here we explore the feasibility of capturing this variability using a low-dimensional parameterization that can be implemented within the context of atmospheric CO2 inverse problems aimed at constraining regional-scale emissions. We construct a multiresolution (i.e., wavelet-based) spatial parameterization for ffCO2 emissions using the Vulcan inventory, and examine whether such a~parameterization can capture a realistic representation of the expected spatial variability of actual emissions. We then explore whether sub-selecting wavelets using two easily available proxies of human activity (images of lights at night and maps of built-up areas) yields a low-dimensional alternative. We finally implement this low-dimensional parameterization within an idealized inversion, where a sparse reconstruction algorithm, an extension of stagewise orthogonal matching pursuit (StOMP), is used to identify the wavelet coefficients. We find that (i) the spatial variability of fossil-fuel emission can indeed be represented using a low-dimensional wavelet-based parameterization, (ii) that images of lights at night can be used as a proxy for sub-selecting wavelets for such analysis, and (iii) that implementing this parameterization within the described inversion framework makes it possible to quantify fossil-fuel emissions at regional scales if fossil-fuel-only CO2 observations are available.


2020 ◽  
pp. 0958305X2094998
Author(s):  
Chun Chih Chen

Taiwan intends to be nuclear free by 2025. This study employs the Lotka–Volterra competition model for sustainable development to analyze the emissions–energy–economy (3Es) issue to make appropriate policy suggestions for a nuclear-free transition. It also offers a new approach to naming the 3E relationship. The literature review shows that the environmental Kuznets curve accompanies the feedback and conservation hypotheses. In the 3E dynamics relationship analysis, the model shows a good mean absolute percentage error (<15%) for the model estimation. The key findings are as follows: 1) the fossil fuel-led economy exists; 2) CO2 emissions are reduced with nuclear energy consumption; 3) renewable energy is far from scale; 4) a complementary effect exists between fossil fuel and nuclear energy consumption; and 5) gas retrofitting and phasing out of nuclear seem imminent. In the energy transition, Taiwan drastically cuts nuclear energy without considering energy diversity due to which troubles might ensue. The priority issue for Taiwan’s energy mix is energy security. To deal with these concerns, this study suggests the government could improve energy efficiency, build a smart grid, develop carbon capture and storage, and reconsider putting nuclear energy back into the energy mix before renewable energy is scaled.


Energies ◽  
2020 ◽  
Vol 13 (15) ◽  
pp. 3956 ◽  
Author(s):  
Elkhan Richard Sadik-Zada ◽  
Wilhelm Loewenstein

The present inquiry addresses the income-environment relationship in oil-producing countries and scrutinizes the further drivers of atmospheric pollution in the respective settings. The existing literature that tests the environmental Kuznets curve hypothesis within the framework of the black-box approaches provides only a bird’s-eye perspective on the long-run income-environment relationship. The aspiration behind this study is making the first step toward the disentanglement of the sources of carbon dioxide emissions, which could be employed in the pollution mitigation policies of this group of countries. Based on the combination of two strands of literature, the environmental Kuznets curve conjecture and the resource curse, the paper at hand proposes an augmented theoretical framework of this inquiry. To approach the research questions empirically, the study employs advanced panel cointegration techniques. To avoid econometric misspecification, the study also employs for the first time a nonparametric time-varying coefficient panel data estimator with fixed effects (NPFE) for the dataset of 37 oil-producing countries in the time interval spanning between 1989 and 2019. The empirical analysis identifies the level of per capita income, the magnitude of oil rents, the share of fossil fuel-based electricity generation in the energy mix, and the share of the manufacturing sector in GDP as essential drivers of carbon dioxide emissions in the oil-rich countries. Tertiarization, on the contrary, leads to a substantial reduction of emissions. Another striking result of this study is that level of political rights and civil liberties are negatively associated with per capita carbon emissions in this group of countries. Furthermore, the study decisively rejects an inverted U-shaped income-emission relationship and validates the monotonically or exponentially increasing impact of average income on carbon dioxide emissions.


Sign in / Sign up

Export Citation Format

Share Document