scholarly journals Structural Decomposition Analysis of CO2 Emission Reduction due to Energy Tax in Power Sector Planning.

2019 ◽  
Vol 1 (2) ◽  
pp. 39-44 ◽  
Author(s):  
Charles O. P. Marpaung ◽  
Ram M. Shresta
Keyword(s):  
Co2 Emissions ◽  
Co2 Emission ◽  
Power Plants ◽  
Decomposition Analysis ◽  
Final Demand ◽  
Tax Rates ◽  
Power Sector ◽  
Environmental Implications ◽  
Co2 Emission Reduction ◽  
Energy Tax

This study analyses the CO2 emission implications of considering energy tax in power sector planning for the case of Indonesia. There are four energy tax rates considered in this study i.e. US$0.5/MBtu, US$1.0/MBtu, US$2.0/MBtu and US$5/MBtu. Furthermore, this study also analyses the decomposition of the economy-wide CO2 emission changes due to the carbon tax rates by using an input-output model. The implications of energy tax on utility planning would bring the sytem more efficient because more energy efficient technology power plants, such as CCGT, would be selected, while in the case of environmental implications, CO2 emissions would be reduced. The results show that there is a significant change in the annual CO2 emissions if energy tax rate of US$5/MBtu is introduced. There are three major components that affect the total economy-wide change in CO2 emissions, i.e., fuel mix-, structural-, and final demand- effects. The results show that the fuel mix effect is found to be most influential in reducing the CO2 emission during the planning horizon under all of the energy tax rates considered and is followed by the final demand- and structural-effects.

scholarly journals Economy-wide CO2 Emission Reduction Due to Carbon Tax in the Power Sector: A Structural Decomposition Analysis

2019 ◽  
Vol 1 (1) ◽  
pp. 14-19 ◽  
Author(s):  
Charles O. P. Marpaung ◽  
Ram M. Shresta
Keyword(s):  
Co2 Emission ◽  
Carbon Tax ◽  
Decomposition Analysis ◽  
Planning Horizon ◽  
Final Demand ◽  
Structural Decomposition Analysis ◽  
Power Sector ◽  
Co2 Emission Reduction ◽  
Structural Decomposition ◽  
Tax Rate

In this paper, a structural decomposition analysis based on an input-output framework has been developed to examine the factors, which affect the economy-wide CO2 emission changes due to the introduction of carbon tax in the Indonesian power sector during 2011-2030. There are three major components that affect the total economy-wide change in CO2 emissions, i.e., fuel mix-, structural-, and final demand- effects. The results show that, the CO2 mitigation under the carbon tax of US$200/tC would be 20.5 times higher than that with the carbon tax rate of US$5/tC.  The fuel mix effect is found to be most influential in reducing the CO2 emission during the planning horizon under all of the carbon tax rates considered and is followed by the final demand- and structural-effects.

scholarly journals Pulp and Paper Industry: Decarbonisation Technology Assessment to Reach CO2 Neutral Emissions—An Austrian Case Study

Energies ◽  
2021 ◽  
Vol 14 (4) ◽  
pp. 1161
Author(s):  
Maedeh Rahnama Mobarakeh ◽  
Miguel Santos Silva ◽  
Thomas Kienberger
Keyword(s):  
Energy Consumption ◽  
Co2 Emissions ◽  
Emission Reduction ◽  
Co2 Emission ◽  
Manufacturing Industry ◽  
Paper Industry ◽  
Heat Pumps ◽  
Pulp And Paper ◽  
Low Carbon ◽  
Co2 Emission Reduction

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.

scholarly journals The Regional Inequity of CO2 Emissions per Capita in China

2017 ◽  
Vol 9 (7) ◽  
pp. 228 ◽  
Author(s):  
Ting Liu ◽  
Wenqing Pan
Keyword(s):  
Co2 Emissions ◽  
Emission Reduction ◽  
Co2 Emission ◽  
Energy Intensity ◽  
Industrial Structure ◽  
Theil Index ◽  
Energy Structure ◽  
Co2 Emission Reduction ◽  
Index Method ◽  
Per Capita

This paper combines Theil index method with factor decomposition technique to analyze China eight regions’ inequality of CO2 emissions per capita, and discuss energy structure, energy intensity, industrial structure, and per capita output’s impacts on inequality. This research shows that: (1) The trend of China regional carbon inequality is in the opposite direction to the per capita CO2 emission level. Namely, as the per capita CO2 emission levels rise, regional carbon inequality decreases, and vice versa. (2) Per capita output factor reduces regional carbon inequality, whereas energy structure factor and energy intensity factor increase the inequality. (3) More developed areas can reduce the carbon inequality by improving the energy structure, whereas the divergence of energy intensity in less developed areas has increased to expand the carbon inequity. Thus, when designing CO2 emission reduction targets, policy makers should consider regional differences in economic development level and energy efficiency, and refer to the main influencing factors. At the same time, upgrading industrial structure and upgrading energy technologies should be combined to meet the targets of economic growth and CO2 emission reduction.

China-European Union Trade and Global Warming

2012 ◽  
pp. 18-28
Author(s):  
Yang Laike ◽  
Liao Chun
Keyword(s):  
Co2 Emissions ◽  
Trade Deficit ◽  
Policy Implications ◽  
Environmental Implications ◽  
Co2 Emission Reduction ◽  
The World ◽  
Trade Partner ◽  
Geographic Separation ◽  
Environmental Burdens ◽  
The Eu

The globalization of trade has numerous environmental implications. Trade results from a geographic separation of consumption and production. This creates a mechanism for consumers to shift environmental pollution to other countries. China is now the world third biggest trader and the second biggest trade partner of EU. China has also overtaken the U.S. as the world biggest CO2 emitter since 2005. As China’s biggest trade partner, EU has a large trade deficit with China, but on the other hand, CO2 emissions embodied in Sino-EU trade are much more unbalanced than the trade imbalance itself. EU avoided a huge amount of CO2 emissions through trading with China. This lowers CO2 emissions in the EU and facilitates EU meeting its CO2 emission reduction targets, but it creates additional environmental burdens for China. In this paper, the dual imbalances between China and the EU, its mechanism, and policy implications will be presented.

scholarly journals Dynamics for Sustainable Nuclear Buildup Based on LWR and FBR Technologies and Its Impact on CO2 Emission Reduction

Energies ◽  
2019 ◽  
Vol 13 (1) ◽  
pp. 134
Author(s):  
Boris Crnobrnja ◽  
Krešimir Trontl ◽  
Dubravko Pevec ◽  
Mario Matijević
Keyword(s):  
Emission Reduction ◽  
Co2 Emission ◽  
Power Plants ◽  
Nuclear Energy ◽  
Electricity Sector ◽  
Light Water Reactors ◽  
Co2 Emission Reduction ◽  
Light Water ◽  
Uranium Fuel ◽  
Water Reactors

In recent years, most of the growth in electricity demand is covered by renewable and nuclear energy sources. However, electricity generation in fossil-fired power plants is also increasing resulting in the increase of CO2 emissions. Nuclear energy has to be considered as one of the available tools to accomplish CO2 emission reduction in electricity sector. Light water reactors (LWR) are currently the dominant nuclear technology but their intensive application in long-term period is constrained by available uranium fuel resources. Fast breeder reactors’ (FBR) technology is not used on a larger scale. Plutonium resources are limited, but do have the potential of stronger buildup if light water reactors, as the source of plutonium, are used on a larger scale. The appropriate dynamics for LWR/FBR buildup till the end of the 21st century is developed under assumptions of different LWR life times, and different uranium fuel resources available. The possible CO2 emission reduction is calculated with World Energy Outlook 2015 development scenarios being set as reference ones. It is shown that nuclear fuel resources do not represent an obstacle for strong nuclear buildup leading to significant CO2 emission reduction. However, the reduction is mostly achieved in the second half of the century.

scholarly journals What would dense atmospheric observation networks bring to the quantification of city CO<sub>2</sub> emissions?

2016 ◽  
Vol 16 (12) ◽  
pp. 7743-7771 ◽  
Author(s):  
Lin Wu ◽  
Grégoire Broquet ◽  
Philippe Ciais ◽  
Valentin Bellassen ◽  
Felix Vogel ◽  
...  
Keyword(s):  
Co2 Emissions ◽  
Metropolitan Area ◽  
Land Surface ◽  
Co2 Emission ◽  
Power Plants ◽  
Lower Cost ◽  
Residential Buildings ◽  
Inversion Method ◽  
Monitoring Tool ◽  
Model Framework

Abstract. Cities currently covering only a very small portion ( <  3 %) of the world's land surface directly release to the atmosphere about 44 % of global energy-related CO2, but they are associated with 71–76 % of CO2 emissions from global final energy use. Although many cities have set voluntary climate plans, their CO2 emissions are not evaluated by the monitoring, reporting, and verification (MRV) procedures that play a key role for market- or policy-based mitigation actions. Here we analyze the potential of a monitoring tool that could support the development of such procedures at the city scale. It is based on an atmospheric inversion method that exploits inventory data and continuous atmospheric CO2 concentration measurements from a network of stations within and around cities to estimate city CO2 emissions. This monitoring tool is configured for the quantification of the total and sectoral CO2 emissions in the Paris metropolitan area (∼  12 million inhabitants and 11.4 TgC emitted in 2010) during the month of January 2011. Its performances are evaluated in terms of uncertainty reduction based on observing system simulation experiments (OSSEs). They are analyzed as a function of the number of sampling sites (measuring at 25 m a.g.l.) and as a function of the network design. The instruments presently used to measure CO2 concentrations at research stations are expensive (typically ∼  EUR 50 k per sensor), which has limited the few current pilot city networks to around 10 sites. Larger theoretical networks are studied here to assess the potential benefit of hypothetical operational lower-cost sensors. The setup of our inversion system is based on a number of diagnostics and assumptions from previous city-scale inversion experiences with real data. We find that, given our assumptions underlying the configuration of the OSSEs, with 10 stations only the uncertainty for the total city CO2 emission during 1 month is significantly reduced by the inversion by ∼  42 %. It can be further reduced by extending the network, e.g., from 10 to 70 stations, which is promising for MRV applications in the Paris metropolitan area. With 70 stations, the uncertainties in the inverted emissions are reduced significantly over those obtained using 10 stations: by 32 % for commercial and residential buildings, by 33 % for road transport, by 18 % for the production of energy by power plants, and by 31 % for total emissions. These results indicate that such a high number of stations would be likely required for the monitoring of sectoral emissions in Paris using this observation–model framework. They demonstrate some high potential that atmospheric inversions can contribute to the monitoring and/or the verification of city CO2 emissions (baseline) and CO2 emission reductions (commitments) and the advantage that could be brought by the current developments of lower-cost medium precision (LCMP) sensors.

scholarly journals The effect of building retrofit measures on CO2 emissions reduction – A case study with U.S. Medium office buildings

2021 ◽  
Author(s):  
Yingli Lou ◽  
Yizhi Yang ◽  
Yunyang Ye ◽  
Wangda Zuo ◽  
Jing Wang
Keyword(s):  
Co2 Emissions ◽  
Energy Efficient ◽  
Emission Reduction ◽  
Co2 Emission ◽  
San Diego ◽  
Emission Factors ◽  
Office Buildings ◽  
Co2 Emission Reduction ◽  
Building Retrofit ◽  
Efficient Measure

Building retrofit has great potential to reduce CO2 emissions since buildings are responsible for 36% of emissions in the United States. Several existing studies have examined the effect of building retrofit measures on CO2 emission reduction. However, these studies oversimplified emission factors of electricity by adopting constant annual emission factors. This study uses hourly emission factors of electricity to analyze the effect of building retrofit measures on emission reduction using U.S. medium office buildings as an example. We analyzed CO2 emission reduction effects of eight building retrofit measures that related to envelop and mechanical system in five locations: Tampa, San Diego, Denver, Great Falls, and International Falls. The main findings are: (1) estimating CO2 emission reduction with constant emission factors overestimates the emission reduction for most measures in San Diego, while it underestimates the emission reduction for most measures in Denver and International Falls; (2) The same retrofit measure may have different effects in CO2 emission reduction depending on the climates. For instance, improving lighting efficiency and improving equipment efficiency have less impacts in emission reduction in cold climates than hot climates; and (3) The most energy efficient measure may not be the most emission efficient measure. For example, in Great Falls, the most energy efficient measure is improving equipment efficiency, but the most emission efficient measure is improving heating efficiency.

China-European Union Trade and Global Warming

2010 ◽  
Vol 1 (1) ◽  
pp. 30-40
Author(s):  
Yang Laike ◽  
Liao Chun
Keyword(s):  
Co2 Emissions ◽  
Trade Deficit ◽  
Policy Implications ◽  
Environmental Implications ◽  
Co2 Emission Reduction ◽  
The World ◽  
Trade Partner ◽  
Geographic Separation ◽  
Environmental Burdens ◽  
The Eu

The globalization of trade has numerous environmental implications. Trade results from a geographic separation of consumption and production. This creates a mechanism for consumers to shift environmental pollution to other countries. China is now the world third biggest trader and the second biggest trade partner of EU. China has also overtaken the U.S. as the world biggest CO2 emitter since 2005. As China’s biggest trade partner, EU has a large trade deficit with China, but on the other hand, CO2 emissions embodied in Sino-EU trade are much more unbalanced than the trade imbalance itself. EU avoided a huge amount of CO2 emissions through trading with China. This lowers CO2 emissions in the EU and facilitates EU meeting its CO2 emission reduction targets, but it creates additional environmental burdens for China. In this paper, the dual imbalances between China and the EU, its mechanism, and policy implications will be presented.

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