Scenario analysis on CO2 emissions reduction potential in China''s electricity sector

With the approach of the year 2012, a new round of international negotiations has energized the entire climate change community. With this, analyses on sector-based emissions reduction and mitigation options will provide the necessary information to form the debate. In order to assess the CO₂ emissions reduction potential of China's electricity sector, this research employs three scenarios based on the “long-range energy alternative planning system” (LEAP) model to simulate the different development paths in this sector. The baseline scenario, the current policy scenario, and the new policy scenario seek to gradually increase the extent of industrial restructuring and technical advancement. Results imply that energy consumption and CO₂ emission in China's electricity sector will rise rapidly in all scenarios until 2030—triple or quadruple the 2000 level; however, through structural adjustment in China's electricity sector, and through implementing technical mitigation measures, various degrees of abatement can be achieved. These reductions range from 85 to 350 million tons CO₂ per year—figures that correspond to different degrees of cost and investment. Demand side management and circulating fluidized bed combustion (CFBC) (ranked in order) are employed prior to use to realize emissions reduction, followed by supercritical plants and the renovation of conventional thermal power plants. In the long term, nuclear and hydropower will play the dominant role in contributing to emissions reduction. It is also suggested that a “self-restraint” reduction commitment should be employed to help contribute to the reduction of emission intensity, an avenue that is more practical for China in light of its current development phase. Setting the year 2000 as the base year, the intensity reduction target could possibly range from 4.2% to 19.4%, dependent on the implementation effectiveness of various mitigation options.     

CO2 emissions and reduction potential in China’s chemical industry

GHG (Increasing greenhouse gas) emissions in China imposes enormous pressure on China’s government and society. The increasing GHG trend is primarily driven by the fast expansion of high energy-intensive sectors including the chemical industry. This study investigates energy consumption and CO₂ emissions in the processes of chemical production in China through calculating the amounts of CO₂ emissions and estimating the reduction potential in the near future. The research is based on a two-level perspective which treats the entire industry as Level one and six key sub-sectors as Level two, including coal-based ammonia, calcium carbide, caustic soda, coal-based methanol, sodium carbonate, and yellow phosphorus. These two levels are used in order to address the complexity caused by the fact that there are more than 40 thousand chemical products in this industry and the performance levels of the technologies employed are extremely uneven. Three scenarios with different technological improvements are defined to estimate the emissions of the six sub-sectors and analyze the implied reduction potential in the near future. The results highlight the pivotal role that regulation and policy administration could play in controlling the CO₂ emissions by promoting average technology performances in this industry.     

CO2 emissions of Turkish manufacturing industry: A decomposition analysis

In this study, CO₂ emissions of Turkish manufacturing industry are calculated by using the fuel consumption data at ISIC revision 2, four digit level. Study covers 57 industries, for the 1995–2001 period. Log Mean Divisia Index (LMDI) method is used to decompose the changes in the CO₂ emissions of manufacturing industry into five components; changes in activity, activity structure, sectoral energy intensity, sectoral energy mix and emission factors. Mainly, it is found that changes in total industrial activity and energy intensity are the primary factors determining the changes in CO₂ emissions during the study period. It is also indicated that among the fuels used, coal is the main determining factor and among the sectors, 3710 (iron and steel basic industries) is the dirtiest sector dominating the industrial CO₂ emissions in the Turkish manufacturing industry.     

CO2 emissions and mitigation potential in China’s ammonia industry

Significant pressure from increasing CO₂ emissions and energy consumption in China’s industrialization process has highlighted a need to understand and mitigate the sources of these emissions. Ammonia production, as one of the most important fundamental industries in China, represents those heavy industries that contribute largely to this sharp increasing trend. In the country with the largest population in the world, ammonia output has undergone fast growth spurred by increasing demand for fertilizer of food production since 1950s. However, various types of technologies implemented in the industry make ammonia plants in China operate with huge differences in both energy consumption and CO₂ emissions. With consideration of these unique features, this paper attempts to estimate the amount of CO₂ emission from China’s ammonia production, and analyze the potential for carbon mitigation in the industry. Based on the estimation, related policy implications and measures required to realize the potential for mitigation are also discussed.     

Assessment of CO2 emissions and its reduction potential in the Korean petroleum refining industry using energy-environment models

We assessed potential future CO₂ reduction in the Korean petroleum refining industry by investigating five new technologies for energy savings and CO₂ mitigation using a hybrid SD-LEAP model: crude oil distillation units (CDU), vacuum distillation units (VDU), light gas-oil hydro-desulfurization units (LGO HDS), and the vacuum residue hydro-desulfurization (VR HDS) process. The current and future demand for refining industry products in Korea was estimated using the SD model. The required crude oil input amounts are expected to increase from 139 million tons in 2008 to 154 million tons in 2030 in the baseline scenario. The current and future productivity of the petroleum refining industry was predicted, and this prediction was substituted into the LEAP model which analyzed energy consumption and CO₂ emissions from the refining processes in the BAU scenario. We expect that new technology and alternative scenarios will reduce CO₂ emissions by 0.048% and 0.065% in the national and industrial sectors, respectively.     

Comparison of CO2 emission scenarios and mitigation opportunities in China's five sectors in 2020

This study has been created in order to better inform climate policy recommendations for China through the study of emissions reduction potential and mitigation opportunities in the major emission sectors in the country. The LEAP model along with three scenarios has been employed in this study. The study has projected that under all scenarios, China's emissions in major sectors will increase. However, through the current sustainable development strategy and even more aggressive emission reduction policies, an annual average of 201–486 million metric tons (MMT) of emissions could be reduced. The cost analysis shows that opportunities are available to achieve significant additional emission reductions at reasonable rates. Besides the results on mitigation opportunities in each sector, this research also explores sectoral preference when determining policies from different perspectives. This study concludes that China's “unilateral actions” since 2000 should be recognized and encouraged. If further emission reduction were required, sector-based mitigation policies would be a very good option and selecting proper policy-making perspective(s) and identifying the most cost-effective mitigation measures within sector and across sectors would be the key information needed to devise these policies.     

Variables affecting energy efficiency and CO2 emissions in the steel industry

Specific energy consumption (SEC) is an energy efficiency indicator widely used in industry for measuring the energy efficiency of different processes. In this paper, the development of energy efficiency and CO₂ emissions of steelmaking is studied by analysing the energy data from a case mill. First, the specific energy consumption figures were calculated using different system boundaries, such as the process level, mill level and mill site level. Then, an energy efficiency index was developed to evaluate the development of the energy efficiency at the mill site. The effects of different production conditions on specific energy consumption and specific CO₂ emissions were studied by PLS analysis. As theory expects, the production rate of crude steel and the utilisation of recycled steel were shown to affect the development of energy efficiency at the mill site. This study shows that clearly defined system boundaries help to clarify the role of on-site energy conversion and make a difference between the final energy consumption and primary energy consumption of an industrial plant with its own energy production.     

Prospective on the energy efficiency and CO2 emissions in the EU cement industry

The cement industry is the third largest carbon emitting industrial sector in the EU. The present work analyses the potential for improvement in the energy efficiency and CO₂ emission reduction for this sector up to 2030. Three scenarios are analysed: baseline scenario (BS) representing the current evolution of the cement sector and two alternative scenarios (AS1 and AS2) studying respectively the sensitivity of fuel prices and CO₂ emission prices. The results for the BS show an improvement in the thermal energy efficiency and the CO₂ emissions per tonne of clinker respectively of 11% and 3.7% in 2030 compared with the level of 2002. However, for AS1 and AS2, these scenarios are insensitive to fuel and CO₂ emission prices, respectively. This can be explained by the fact that a large number of retrofits are economically feasible in the BS, leading to a significant reduction in the thermal energy consumption.     

Energy consumption and CO2 emissions of the European glass industry

An in-depth analysis of the energy consumption and CO₂ emissions of the European glass industry is presented. The analysis is based on data of the EU ETS for the period 2005–2007 (Phase I). The scope of this study comprises the European glass industry as a whole and its seven subsectors. The analysis is based on an assignment of the glass installations (ca. 450) within the EU ETS to the corresponding subsectors and an adequate matching of the respective production volumes. A result is the assessment of the overall final energy consumption (fuel, electricity) as well as the overall CO₂ emissions (process, combustion and indirect emissions) of the glass industry and its subsectors in the EU25/27. Moreover, figures on fuel mix as well as fuel intensity and CO₂ emissions intensity (i.e. carbon intensity) are presented for each of the subsectors on aggregated levels and for selected EU Member States separately. The average intensity of fuel consumption and direct CO₂ emissions of the EU25 glass industry decreased from 2005 to 2007 by about 4% and amounted in 2007 to 7.8 GJ and 0.57 _tCO₂${\mathrm{t}}_{{\text{CO}}_{\mathrm{2}}}$ per tonne of saleable product, respectively. The economic energy intensity was evaluated with 0.46 toe/1000€ (EU27).     

Energy demand and associated CO2 emissions for the Indian steel industry

Steel manufacturing is energy-intensive and hence a significant contributor of CO₂ emissions. We project steel demand in India using regression analysis. A linear dynamic programming model has been developed to analyse the supply options and estimate the energy demand and CO₂ emissions from the industry for the period 1992 to 2021.     

Long-term CO2 emissions reduction target and scenarios of power sector in Taiwan

This study analyses a series of carbon dioxide (CO₂) emissions abatement scenarios of the power sector in Taiwan according to the Sustainable Energy Policy Guidelines, which was released by Executive Yuan in June 2008. The MARKAL-MACRO energy model was adopted to evaluate economic impacts and optimal energy deployment for CO₂ emissions reduction scenarios. This study includes analyses of life extension of nuclear power plant, the construction of new nuclear power units, commercialized timing of fossil fuel power plants with CO₂ capture and storage (CCS) technology and two alternative flexible trajectories of CO₂ emissions constraints. The CO₂ emissions reduction target in reference reduction scenario is back to 70% of 2000 levels in 2050. The two alternative flexible scenarios, Rt4 and Rt5, are back to 70% of 2005 and 80% of 2005 levels in 2050. The results show that nuclear power plants and CCS technology will further lower the marginal cost of CO₂ emissions reduction. Gross domestic product (GDP) loss rate in reference reduction scenario is 16.9% in 2050, but 8.9% and 6.4% in Rt4 and Rt5, respectively. This study shows the economic impacts in achieving Taiwan's CO₂ emissions mitigation targets and reveals feasible CO₂ emissions reduction strategies for the power sector.     

Regional differences in the CO2 emissions of China's iron and steel industry: Regional heterogeneity

Identifying the key influencing factors of CO₂ emissions in China's iron and steel industry is vital for mitigating its emissions and formulating effective environmental protection measures. Most of the existing researches utilized time series data to investigate the driving factors of the industry's CO₂ emission at the national level, but regional differences have not been given appropriate attention. This paper adopts provincial panel data from 2000 to 2013 and panel data models to examine the key driving forces of CO₂ emissions at the regional levels in China. The results show that industrialization dominates the industry's CO₂ emissions, but its effect varies across regions. The impact of energy efficiency on CO₂ emissions in the eastern region is greater than in the central and western regions because of a huge difference in R&D investment. The influence of urbanization has significant regional differences due to the heterogeneity in human capital accumulation and real estate development. Energy structure has large potential to mitigate CO₂ emissions on account of increased R&D investment in energy-saving technology and expanded clean energy use. Hence, in order to effectively achieve emission reduction, local governments should consider all these factors as well as regional heterogeneity in formulating appropriate mitigation policies.     

China’s pre-2020 CO2 emission reduction potential and its influence

China achieved the reduction of CO₂ intensity of GDP by 45% compared with 2005 at the end of 2017, realizing the commitment at 2009 Copenhagen Conference on emissions reduction 3 years ahead of time. In future implementation of the “13th Five-Year Plan (FYP),” with the decline of economic growth rate, decrease of energy consumption elasticity and optimization of energy structure, the CO₂ intensity of GDP will still have the potential for decreasing before 2020. By applying KAYA Formula decomposition, this paper makes the historical statistics of the GDP energy intensity decrease and CO₂ intensity of energy consumption since 2005, and simulates the decrease of CO₂ intensity of GDP in 2020 and its influences on achieving National Determined Contribution (NDC) target in 2030 with scenario analysis. The results show that China’s CO₂ intensity of GDP in 2020 is expected to fall by 52.9%–54.4% than the 2005 level, and will be 22.9%–25.4% lower than 2015. Therefore, it is likely to overfulfill the decrease of CO₂ intensity of GDP by 18% proposed in the 13th FYP period. Furthermore, the emission reduction potentiality before 2020 will be conducive to the earlier realization of NDC objectives in 2030. China’s CO₂ intensity of GDP in 2030 will fall by over 70% than that in 2005, and CO₂ emissions peak will appear before 2030 as early as possible. To accelerate the transition to a low-carbon economy, China needs to make better use of the carbon market, and guide the whole society with carbon price to reduce emissions effectively. At the same time, China should also study the synergy of policy package so as to achieve the target of emission reduction.     

Energy demand and CO2 emissions reduction options in Nigeria

This paper presents policy options for reducing CO₂ emissions in Nigeria. The policies were formulated based on a thorough analysis of Nigeria's current energy consumption patterns and the projected evolution of key parameters that drive Nigeria's energy demand — primarily the rate of industrialization, the demand for transportation services, and the expansion of Nigeria's population. The study shows that the most promising options for reducing CO₂ emissions in Nigeria are improving energy efficiency and increasing the use of natural gas and renewable energy sources.     

CO2 emissions embodied in China's exports from 2002 to 2008: A structural decomposition analysis

This study examines the annual CO₂ emissions embodied in China's exports from 2002 to 2008 using environmental input–output analysis. Four driving forces, including emission intensity, economic production structure, export composition, and total export volume, are compared for their contributions to the increase of embodied CO₂ emissions using a structural decomposition analysis (SDA) technique. Although offset by the decrease in emission intensity, the increase of embodied CO₂ emissions was driven by changes of the other three factors. In particular, the change of the export composition was the largest driver, primarily due to the increasing fraction of metal products in China's total export. Relevant policy implications and future research directions are discussed at the end of the paper.     

Carbon emissions reduction in China's food industry

In this paper, we evaluate the changes in carbon dioxide emissions from energy consumption in China's food industry from 1986 to 2010 based on the Logarithmic Mean Divisia Index (LMDI) method. The results show that energy intensity (EI) and industrial activity (IA) are the main determinants of the changes in carbon dioxide. Energy intensity (EI) contributes to decrease in emissions within 25 years while industrial activity (IA) acts in a positive way to increase the emissions level. Industry scale (IS) mostly contributes to increase in emissions except for the time interval 1996–2000. However, for both carbon intensity (CI) and energy structure (ES), they have a volatile but not significant influence on emissions in the different time intervals. To further understand the effects, we analyze the cumulative emission during the whole period 1986–2010. The results further testify that energy intensity and industrial activity are the most important factors affecting reduction and growth of carbon emissions. The results indicate that efforts to reduce emission in China's food industry should focus on the enhancement of energy efficiency, the optimization of industrial scale and the restructuring energy use. Finally, recommendations are provided for the reduction of carbon dioxide in China's food industry.     

Computational studies of electrochemical CO2 reduction on chalcogen doped Cu4 cluster

By use of the theoretical method of density functional theory (DFT), we systemically investigate the chalcogen doped Cu₄ metal clusters (Cu₄O, Cu₄S, and Cu₄Se) as catalysts for the electrochemical CO₂ reduction with toluene as solvent. These doped clusters have efficient catalytic properties which can reduce CO₂ to CH₄ and a small amount of CH₃OH. In the case of CO₂ hydrogenation to CH₄, the reaction barrier of the Cu₄O cluster and Cu₄S cluster are reduced by 0.37 eV and 0.15 eV, respectively, compared with the pristine Cu₄ cluster. The calculation results also show the overpotentials for the CO₂ hydrogenation to CH₄ in the order of Cu₄S < Cu₄O < Cu₄Se. In?addition, the geometry structures, the electronic properties, and the reaction free energies on the chalcogen doped Cu₄ clusters are also discussed to further reveal the reaction mechanism in the CO₂ electroreduction process. We hope that our present work will enlighten extensive studies on the modified electrode to decrease the limiting potential and provide a reference for the subsequent studies.     

Assessment of CO2 emissions reduction in a distribution warehouse

Building energy use accounts for almost 50% of the total CO₂ emissions in the UK. Most of the research has focused on reducing the operational impact of buildings, however in recent years many studies have indicated the significance of embodied energy in different building types. This paper primarily focuses on illustrating the relative importance of operational and embodied energy in a flexible use light distribution warehouse. The building is chosen for the study as it is relatively easy to model and represents many distribution centres and industrial warehouses in Europe.A carbon footprinting study was carried out by conducting an inventory of the major installed materials with potentially significant carbon impact and material substitutions covering the building structure. Ecotect computer simulation program was used to determine the energy consumption for the 25 years design life of the building. This paper evaluates alternative design strategies for the envelope of the building and their effects on the whole life emissions by investigating both embodied and operational implications of changing the envelope characteristics. The results provide an insight to quantify the total amount of CO₂ emissions saved through design optimisation by modeling embodied and operational energy.     

Atmospheric stabilization of CO2 emissions: Near-term reductions and absolute versus intensity-based targets

This study analyzes CO₂ emissions reduction targets for various countries and geopolitical regions by the year 2030 to stabilize atmospheric concentrations of CO₂ at 450 ppm (550 ppm including non-CO₂ greenhouse gases) level. It also determines CO₂ intensity cuts that would be required in those countries and regions if the emission reductions were to be achieved through intensity-based targets without curtailing their expected economic growth. Considering that the stabilization of CO₂ concentrations at 450 ppm requires the global trend of CO₂ emissions to be reversed before 2030, this study develops two scenarios: reversing the global CO₂ trend in (i) 2020 and (ii) 2025. The study shows that global CO₂ emissions would be limited at 42 percent above 1990 level in 2030 if the increasing trend of global CO₂ emissions were to be reversed by 2020. If reversing the trend is delayed by 5 years, global CO₂ emissions in 2030 would be 52 percent higher than the 1990 level. The study also finds that to achieve these targets while maintaining expected economic growth, the global average CO₂ intensity would require a 68 percent drop from the 1990 level or a 60 percent drop from the 2004 level by 2030.     

CO2 emissions from the transport of China's exported goods

Emissions of greenhouse gases in many European countries are declining, and the European Union (EU) believes it is on track in achieving emission reductions as agreed upon in the Kyoto Agreement and the EU's more ambitious post-Kyoto climate policy. However, a number of recent publications indicate that emission reductions may also have been achieved because production has been shifted to other countries, and in particular China. If a consumption perspective is applied, emissions in industrialized countries are substantially higher, and may not have declined at all. Significantly, emissions from transports are omitted in consumption-based calculations. As all trade involves transport, mostly by cargo ship, but also by air, transports add considerably to overall emissions growth incurred in production shifts. Consequently, this article studies the role of transports in creating emissions of CO₂, based on the example of exports from China. Results are discussed with regard to their implications for global emission reductions and post-Kyoto negotiations.