scholarly journals Impacts of Clean Energy Substitution for Polluting Fossil-Fuels in Terminal Energy Consumption on the Economy and Environment in China

2019 ◽  
Vol 11 (22) ◽  
pp. 6419 ◽  
Author(s):  
Hao Chen ◽  
Ling He ◽  
Jiachuan Chen ◽  
Bo Yuan ◽  
Teng Huang ◽  
...  

China has initiated various dedicated policies on clean energy substitution for polluting fossil-fuels since the early 2010s to alleviate severe carbon emissions and environmental pollution and accelerate clean energy transformation. Using the autoregressive integrated moving average (ARIMA) regression, we project the potentials of substituting coal and oil with clean energy for different production sectors in China toward the year 2030. Based on the projections, a dynamic multi-sectoral computable general equilibrium model, CHINAGEM, is employed to examine: the impacts of future clean energy substitution on China’s energy production, outputs of non-energy sectors, macro-economy, and CO2 emissions. First, we found that most production sectors are projected to replace polluting fossil-fuels with clean energy in their terminal energy consumption in 2017–2030. Second, clean energy substitution enables producing green co-benefits that would enable improvements in energy production structure, reductions in national CO2 emissions, and better real GDP and employment. Third, technological progress in non-fossil-fuel electricity could further benefit China’s clean and low-carbon energy transformation, accelerating the reduction in CO2 emissions and clean energy substitution. Furthermore, the most beneficiary are energy-intensive and high carbon-emission sectors owing to the drop in coal and oil prices, while the most negatively affected are the downstream sectors of electricity. Through research, various tentative improvement policies are recommended, including financial support, renewable electricity development, clean energy utilization technology, and clean coal technologies.

Energies ◽  
2021 ◽  
Vol 14 (4) ◽  
pp. 812
Author(s):  
Mariola Piłatowska ◽  
Andrzej Geise

This study explores the impact of clean energy and non-renewable energy consumption on CO2 emissions and economic growth within two phases (formative and expansion) of renewable energy diffusion for three selected countries (France, Spain, and Sweden). The vector autoregression (VAR) model is estimated on the basis of annual data disaggregated into quarterly data. The Granger causality results reveal distinctive differences in the causality patterns across countries and two phases of renewables diffusion. Clean energy consumption contributes to a decline of emissions more clearly in the expansion phase in France and Spain. However, this effect seems to be counteracted by the increases in emissions due to economic growth and non-renewable energy consumption. Therefore, clean energy consumption has not yet led to a decoupling of economic growth from emissions in France and Spain; in contrast, the findings for Sweden evidence such a decoupling due to the neutrality between economic growth and emissions. Generally, the findings show that despite the enormous growth of renewables and active mitigation policies, CO2 emissions have not substantially decreased in selected countries or globally. Focused and coordinated policy action, not only at the EU level but also globally, is urgently needed to overhaul existing fossil-fuel economies into low-carbon economies and ultimately meet the relevant climate targets.


2021 ◽  
Author(s):  
Ling He ◽  
Bangpei Wang ◽  
Wanting Xu ◽  
Qi Cui ◽  
Hao Chen

Abstract Achieving low-carbon energy transformation is vital for coordinating economic growth and environmental improvement to satisfy the carbon emissions peak and carbon neutrality targets. Existing studies, however, have been dominated by the mere exploration of the low-carbon transformation pathway with little consideration of the importance of energy substitution in low-carbon transformation. Doing so is believably unable to gain the double dividend effect for the economy and environment. Accordingly, this paper develops three energy-target scenarios, taking into account energy structure, electrification level, and carbon mitigation targets by 2030 announced by the Chinese government. A dynamic multi-sectoral computable general equilibrium model, CHINAGEM, is employed to examine the economic and environmental effects under different pathways of long-term low-carbon transformation. Firstly, we detect that China's primary energy consumption and electricity production structure would substantially transfer to low-carbon and clean along with all three energy-target scenarios. Secondly, due to the anticipated decline of fossil energy consumption, especially coal consumption, China's CO2, SO2, and NOX emissions in 2020-2030 would also possibly vastly abate with all the scenarios. Besides, it is highly conceivable for China to achieve its peak carbon emission of 12.4 GtCO2 in 2028 if it serves the comparatively more stringent low-carbon transformation pathways. Lastly, different pathways would also produce varying positive impacts on China's macro-economy and achieve the different extent of double dividend effects. The research concludes with a recommendation of tentative improvement policies towards low-carbon transformation under the carbon peak and carbon neutrality goals, including promoting energy substitution, renewable energy development, and low-carbon technologies.


2021 ◽  
Vol 13 (3) ◽  
pp. 1217
Author(s):  
Kyungwon Park ◽  
Yoon Lee ◽  
Joon Han

In Korea, multiple efforts, including subsidies to energy industries, have been made to increase renewable energy use and strengthen the competitiveness of renewable energy industries. Ironically, a considerable number of subsidies have also been provided for fossil fuels, drawing criticism both within Korea and overseas that these subsidies increase not only fossil fuel consumption and greenhouse gas emissions, but also energy market distortion. Thus, the Korean government announced a plan to discontinue some fossil fuel subsidies in 2020. Based on Korea’s policy orientation to expand renewable energy and strengthen its competitiveness, various scenarios to phase out fossil fuel subsidies and increase renewable energy subsidies can be examined. This study used the computable general equilibrium model to subdivide the energy sector and analyze the influence of changes in subsidies on the Korean economy and CO2 emissions based on three scenarios. The results show that phasing out fossil fuel subsidies causes a significant reduction in domestic CO2 emissions by −6.9 to −8.5%, depending on our scenarios. Implementing energy policy in Korea may have minimum impacts on its economy when fossil fuel subsidies transfer to renewable energy industries. The real gross domestic product could be only decreased by −0.04 to −0.14%.


2020 ◽  
Author(s):  
Li Zhao ◽  
Wei Chen ◽  
Qiong Li ◽  
WeiWei Wu

Abstract Clean energy substitution technology of existing residential buildings in cities is an inevitable choice for sustainable development and low-carbon ecological city construction. In this paper, the current status of energy-saving renovation and renewable energy application of existing residential buildings in various cities in China is summarized by using statistical method. The geographical distribution of clean energy power generation in primary energy production has been deeply explored in China. According to different climatic division of urban existing residence, the clean energy production and consumption are analyzed and predicted based on STIRPAT model. The results shows that the energy consumption of urban residential buildings in 2016 has increases by 43.6% compared with 2009. Clean energy has also increased from 7.9% to 13.4%. Different climate regions have different advantages in clean energy. Nuclear power generation is ahead of other regions in hot summer and warm winter regions, and wind power and solar power generation are strong in severe cold and cold regions. The results can provide basic data support for planning and implementation of clean energy upgrading and transformation system in urban existing residences in China.


2019 ◽  
Vol 12 (2) ◽  
pp. 29 ◽  
Author(s):  
Chun-juan Wang ◽  
Xiao Han ◽  
Su Xin ◽  
Da-hai Liu ◽  
Meng Xu ◽  
...  

As a model for energy transition to low-carbon economy, Denmark is of great importance for studying internal relationships between economic growth, both energy consumption and production, and Carbon emissions. Based on Denmark’s data for the total consumption of petroleum oil and gas resources, total production of oil and gas resources, gross domestic product(constant 2010 US$) and CO2 emissions over the time span 1984-2016, Johansen test shows that there is no cointegration relationship between CO2 emissions and oil and gas consumption, and the autoregressive distributed lag (ARDL) boundary cointegration test shows that there is no cointegration relationship between CO2 emissions and economic growth. Nevertheless, ARDL boundary cointegration test is used to confirm the existence of cointegration between economic growth and both the energy production and consumption. We then establish an error correction model to analyze the short-term relationship between these two cointegrated metrics. The Granger causality test indicates that there is one-way causality between economic growth and energy consumption and energy production; in particular, economic changes help explain changes of energy consumption and production in the future. Finally, the empirical analysis results are further discussed with consideration of Denmark’s energy policies and the current state of its energy economy. The results of the present study can help the other countries in the design of energy development, the clean and low carbon energy transition policies for sustainable and long-term economic development.


Author(s):  
Li Zhao ◽  
Wei Chen ◽  
Qiong Li ◽  
Weiwei Wu

AbstractClean-energy substitution technology for existing residential buildings in cities is an inevitable choice for sustainable development and low-carbon ecological city construction. In this paper, the current status of energy-saving renovation and renewable-energy applications for existing residential buildings in various cities in China was summarized by using statistical methods. The geographical distribution of clean-energy power generation in primary energy production in China was explored in depth. According to different climatic divisions for existing urban residences, clean-energy production and consumption were analyzed and predicted based on the STIRPAT model. The results show that the energy consumption of urban residential buildings in 2016 increased by 43.6% compared with 2009, and the percentage of clean energy also increased from 7.9% to 13.4%. Different climatic regions have different advantages regarding clean energy: nuclear power generation leads in the region that experiences hot summers and warm winters, whereas wind and solar power generation lead in the cold and severely cold regions. The present results provide basic data support for the planning and implementation of clean-energy upgrading and transformation systems in existing urban residences in China.


Energies ◽  
2021 ◽  
Vol 14 (4) ◽  
pp. 1161
Author(s):  
Maedeh Rahnama Mobarakeh ◽  
Miguel Santos Silva ◽  
Thomas Kienberger

The pulp and paper (P&P) sector is a dynamic manufacturing industry and plays an essential role in the Austrian economy. However, the sector, which consumes about 20 TWh of final energy, is responsible for 7% of Austria’s industrial CO2 emissions. This study, intending to assess the potential for improving energy efficiency and reducing emissions in the Austrian context in the P&P sector, uses a bottom-up approach model. The model is applied to analyze the energy consumption (heat and electricity) and CO2 emissions in the main processes, related to the P&P production from virgin or recycled fibers. Afterward, technological options to reduce energy consumption and fossil CO2 emissions for P&P production are investigated, and various low-carbon technologies are applied to the model. For each of the selected technologies, the potential of emission reduction and energy savings up to 2050 is estimated. Finally, a series of low-carbon technology-based scenarios are developed and evaluated. These scenarios’ content is based on the improvement potential associated with the various processes of different paper grades. The results reveal that the investigated technologies applied in the production process (chemical pulping and paper drying) have a minor impact on CO2 emission reduction (maximum 10% due to applying an impulse dryer). In contrast, steam supply electrification, by replacing fossil fuel boilers with direct heat supply (such as commercial electric boilers or heat pumps), enables reducing emissions by up to 75%. This means that the goal of 100% CO2 emission reduction by 2050 cannot be reached with one method alone. Consequently, a combination of technologies, particularly with the electrification of the steam supply, along with the use of carbon-free electricity generated by renewable energy, appears to be essential.


2015 ◽  
Vol 1092-1093 ◽  
pp. 1597-1600
Author(s):  
Zhong Hua Wang ◽  
Xin Ye Chen

The need to reduce carbon emission in Heilongjiang Province of China is urgent challenge facing sustainable development. This paper aims to make explicit the problem-solving of carbon emission to find low carbon emission ways. According to domestic and foreign literatures on estimating and calculating carbon emissions and by integrating calculation methods of carbon emissions, it was not possible to consider all of the many contributions to carbon emissions. Calculation model of carbon emissions suitable to this paper is selected. The carbon emissions of energy consumption in mining industry are estimated and calculated from 2005 to 2012, and the characteristics of carbon emission are analyzed at the provincial level. It makes the point that carbon emissions of energy consumption in mining industry can be reduced when we attempt to alter energy consumption structure, adjust industrial structure and improve energy utilization efficiency.


2005 ◽  
Vol 9 (3) ◽  
pp. 7-14 ◽  
Author(s):  
Hiromi Yamamoto ◽  
Kenji Yamaji

The uses of fossil fuels cause not only the resources exhaustion but also the environmental problems such as global warming. The purposes of this study are to evaluate paths to ward sustainable energy systems and roles of each renewable. In order to realize the purposes, the authors developed the global land use and energy model that figured the global energy supply systems in the future considering the cost minimization. Using the model the authors conducted a simulation in C30R scenario, which is a kind of strict CO2 emission limit scenarios and reduced CO2 emissions by 30% compared with Kyoto protocol forever scenario, and obtained the following results. In C30R scenario bio energy will supply 33% of all the primary energy consumption. How ever, wind and photo voltaic will supply 1.8% and 1.4% of all the primary energy consumption, respectively, because of the limits of power grid stability. The results imply that the strict limits of CO2 emissions are not sufficient to achieve the complete renewable energy systems. In order to use wind and photo voltaic as major energy resources we need not only to reduce the plant costs but also to develop unconventional renewable technologies. .


2021 ◽  
Vol 245 ◽  
pp. 01020
Author(s):  
Aixia Xu ◽  
Xiaoyong Yang

The input-output method is employed in this study to measure the total carbon emission of the logistics industry in Guangdong. The findings revealed that the carbon emission of direct energy consumption of the logistics industry in Guangdong is far above the actual carbon emissions, the second and third industries play a significant role in carbon emission of indirect energy consumption in the logistics industry in Guangdong. To reduce energy consumption and carbon emissions in Guangdong, it is not only important to control the carbon emissions in the logistics industry, but strengthen carbon emission detection in relevant industries, improve the energy utilization rate and reduce emissions in other industries, and move towards low-carbon sustainable development.


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