Scenario analysis of energy-based low-carbon development in China

China＇s increasing energy consumption and coal-dominant energy structure have contributed not only to severe environmental pollution,but also to global climate change. This article begins with a brief review of China＇s primary energy use and associated environmental problems and health risks. To analyze the potential of China＇s transition to low-carbon development,three scenarios are constructed to simulate energy demand and CO2 emission trends in China up to 2050 by using the Long-range Energy Alternatives Planning System（LEAP） model. Simulation results show that with the assumption of an average annual Gross Domestic Product（GDP） growth rate of 6.45%,total primary energy demand is expected to increase by 63.4%,48.8% and 12.2% under the Business as Usual（BaU）,Carbon Reduction（CR）and Integrated Low Carbon Economy（ILCE） scenarios in 2050 from the 2009 levels. Total energy-related CO2 emissions will increase from 6.7 billion tons in 2009 to 9.5,11,11.6 and11.2 billion tons; 8.2,9.2,9.6 and 9 billion tons; 7.1,7.4,7.2 and 6.4 billion tons in 2020,2030,2040 and 2050 under the BaU,CR and ILCE scenarios,respectively. Total CO2 emission will drop by 19.6% and 42.9% under the CR and ILCE scenarios in 2050,compared with the BaU scenario.To realize a substantial cut in energy consumption and carbon emissions,China needs to make a long-term low-carbon development strategy targeting further improvement of energy efficiency,optimization of energy structure,deployment of clean coal technology and use of market-based economic instruments like energy/carbon taxation.     

The value of energy efficiency programs for US residential and commercial buildings in a warmer world

US residential and commercial buildings were responsible for about 41 exajoules (EJ) of primary energy use per year in 2002, accounting for approximately 9% of the world fossil-fuel related anthropogenic carbon (C) emissions of 6.7 Gt that contribute to climate change. US Government-sponsored building energy efficiency research and implementation programs are focused on reducing energy consumption in US residential and commercial buildings and reducing these carbon (C) emissions. Although not specifically intended for adaptation to a warmer climate and less effective than under today’s cooler climate, these programs also could help reduce energy demand in a future warmer world. Warming scenarios projected by the United Nations Intergovernmental Panel on Climate Change (IPCC) in 2001 imply net overall decreases in both site energy and primary energy consumption in US residential and commercial buildings, largely because of the reduced need for heating. However, there would be as much as a 25% increase in building space cooling demand and a significant part of the increase could be offset by energy-efficiency improvements in buildings. Overall, in the US, buildings-related energy efficiency programs would reduce site energy consumption in buildings in the US by more than 2 EJ in 2020 and primary energy by more than 3.5 EJ, more than enough to offset the projected growth in cooling energy consumption due to climate change and growth in the US building stock. The savings would have an estimated annual net value at 2005 energy prices of between $45.0 and $47.3 billion to consumers.

An Integrated Assessment of Climate Change and the Accelerated Introduction of Advanced Energy Technologies - An Application of MiniCAM 1.0

We report results from the application of an integrated assessment model, MiniCAM 1.0. The model is employed to explore the full range of climate change implications of the successful development of cost effective, advanced, energy technologies. These technologies are shown to have a profound effect on the future magnitude and rate of anthropogenic climate change. We find that the introduction of assumptions developed by a group of ‘bottom-up’ modelers for the LEESS scenarios into a ‘top-down’ model, the Edmonds-Reilly-Barns Model, leads to ‘top down’ emissions trajectories similar to those of the LEESS. The cumulative effect of advanced energy technologies is to reduce annual emissions from fossil fuel use to levels which stabilize atmospheric concentrations below 550 ppmv. While all energy technologies play roles, the introduction of advanced biomass energy production technology is particularly important. The consideration of all greenhouse related anthropogenic emissions, and in particular sulfur dioxide, is found to be important. We find that the consideration of sulfur dioxide emissions coupled to rapid reductions in carbon dioxide emissions leads to higher global mean temperatures prior to 2050 than in the reference case. This result is due to the short-term cooling impact of sulfate aerosols, which dominates the long-term warming impact of CO₂ and CH₄ in the years prior to 2050. We also show that damage calculations which use only mean global temperature and income may be underestimating damages by up to a factor of five. Disaggregating income reduces this to a factor of two, still a major error. Finally, the role of the discount rate is shown to be extraordinarily important to technology preference.     

Modeling increased demand of energy for air conditioners and consequent CO2 emissions to minimize health risks due to climate change in India

Developing countries situated mostly in latitudes that are projected for the highest climate change impact in the twenty-first century will also have a predictable increase in demand on energy sources. India presents us with a unique opportunity to study this phenomenon in a large developing country. This study finds that climate adaptation policies of India should consider the significance of air conditioners (A/Cs) in mitigation of human vulnerability due to unpredictable weather events such as heat waves. However, the energy demand due to air conditioning usage alone will be in the range of an extra ～750,000 GWh to ～1,350,000 GWh with a 3.7 °C increase in surface temperatures under different population scenarios and increasing incomes by the year 2100. We project that residential A/C usage by 2100 will result in CO₂ emissions of 592 Tg to 1064 Tg. This is significant given that India's total contribution to global CO₂ emissions in 2009 was measured at 1670 Tg and country's residential and commercial electricity consumption in 2007 was estimated at 145,000 GWh.     

Developing long-term strategies to reduce energy use and CO<Subscript>2</Subscript> emissions—analysis of three mitigation scenarios for iron and steel production in China

We perform a scenario analysis of three strategies for long-term energy savings and carbon dioxide (CO₂) emission reductions in iron and steel production in China, using a linear optimization modeling framework industry sector energy efficiency modeling (ISEEM). The modeling includes annual projections for one base scenario representing business-as-usual (BAU) and three additional scenarios representing different strategies to reduce annual energy use and CO₂ emissions from 2010 to 2050. Specifically, the three scenarios for cost-optimization modeling include changing the production share (PS), predefining emission reduction (ER) target, and stipulating carbon emission pricing (CP), respectively. While the three strategies are projected to result in similar annual energy savings by approximately 15 % compared to that of the BAU scenario in year 2050, the carbon emission pricing strategy brings about the highest annual energy savings in the medium term (e.g., 2025). In addition, adopting carbon emission pricing strategy will result in the highest emission reduction from BAU with much higher costs, i.e., by 20 % in 2025 and 41 % in 2050, while adopting either PS or ER strategies will result in a moderate level of emission reduction from BAU, i.e., by approximately 4 % in 2025 and 14 % in 2050. The analysis of China’s national strategies to reduce energy use and emissions provides important implications for global mitigation strategies.     

2050年中国能源消费的情景预测

与全球气候变化紧密相关的能源消费问题是当今世界各国关注的热点,特别是中国能源消费规模、能源消费峰值和消费结构等更是关注的重点.论文在简要评述中国能源消费峰值、能源消费预测方法和模型的基础上,系统回顾了国内外对中国能源消费预测研究成果,侧重于人口和经济等驱动中国能源消费的两大主要因素,参考主要发达国家经济发展过程中人均能源消耗及人均累计能耗变化规律,对中国未来能源消费趋势进行了定量预测分析.结果表明:① 中国人均能耗、总量和人均累计消费量均有较大的发展潜力.2050年中国人均能耗大致在4.75~9.31 tce,上限也只相当于美国人均能耗峰值的76%;中国能源消费总量还将持续增长,2050 年的能源消费总量在61.91×10⁸~121.33×10⁸tce;1870-2050 年,中国人均累计能耗最佳分布区间为207~294 tce,只相当于1870-2012 年美国人均累计能耗的46%、德国的56%、英国的57%.② 文献梳理表明,当前预测中国能源消费峰值的各种研究成果大多认为在62×10⁸~79×10⁸tce,而峰值年份则出现在2035-2045 年,论文认为除美国、英国和德国情景将有峰值出现外,其他情景尚不可能出现峰值;③ 法国情景下中国能源消费“零”增长将于2040 年左右出现;日本、韩国以及基准情景预测显示,2035 年以后中国能源消费将进入到2%左右的低速增长期.上述研究结果表明,中国未来能源消费预测采用法国、日本、韩国情景较为合理,2035 年以后,中国能源消费将进入低速增长期.当前,中国人均收入不高,人均能耗尤其人均累计能耗处于较低水平,过早乐观承诺能源消费峰值,易使气候变化谈判陷入被动;从中国国情出发,需给中国社会经济发展留有能源消耗空间;促进能源资源的节约集约使用,积极倡导节能型生产生活方式,是中国社会经济可持续发展、保障能源安全、积极应对全球气候变化的现实需要.     

A new post-Kyoto climate regime based on per-capita cumulative CO<Subscript>2</Subscript>-emission rights—rationale,architecture and quantitative assessment of the implication for the CO<Subscript>2</Subscript>-emissions from China,India and the Annex-I countries by 2050

Climate change is one of the most severe global problems in the 21st century. Main drivers are the combustion of fossil fuels, the emissions of industrial gases, emissions from agricultural sites and animal husbandry as well as deforestation. A new cooperative climate regime is necessary to meet the World’s energy and environmental problems against the background of China’s and India’s energy consumption growth. For the second commitment period of the Kyoto Protocol after 2012, a successor regime has to be agreed on. The current approaches, however, have a common weakness. They at the same time (a) do not acknowledge the historical responsibilities of the industrialized countries for the historical greenhouse gas emissions and the responsibility of developing countries for a large fraction of the current future emissions, and (b) do not provide for a fair distribution of emission rights. Against this background, this article aims at forecasting China’s and India's CO₂-emissions up to 2050 and developing a new suggestion for a post Kyoto climate regime based on a cumulated per capita CO₂-emission rights taking the weaknesses of the currently discussed post Kyoto approaches into account.     

Carbon dioxide direct air capture for effective climate change mitigation based on renewable electricity: a new type of energy system sector coupling

Pathways for achieving the 1.5–2 °C global temperature moderation target imply a massive scaling of carbon dioxide (CO₂) removal technologies, in particular in the 2040s and onwards. CO₂ direct air capture (DAC) is among the most promising negative emission technologies (NETs). The energy demands for low-temperature solid-sorbent DAC are mainly heat at around 100 °C and electricity, which lead to sustainably operated DAC systems based on low-cost renewable electricity and heat pumps for the heat supply. This analysis is carried out for the case of the Maghreb region, which enjoys abundantly available low-cost renewable energy resources. The energy transition results for the Maghreb region lead to a solar photovoltaic (PV)-dominated energy supply with some wind energy contribution. DAC systems will need the same energy supply structure. The research investigates the levelised cost of CO₂ DAC (LCOD) in high spatial resolution and is based on full hourly modelling for the Maghreb region. The key results are LCOD of about 55 €/t_CO2 in 2050 with a further cost reduction potential of up to 50%. The area demand is considered and concluded to be negligible. Major conclusions for CO₂ removal as a new energy sector are drawn. Key options for a global climate change mitigation strategy are first an energy transition towards renewable energy and second NETs for achieving the targets of the Paris Agreement.

     

High-resolution spatial distribution of greenhouse gas emissions in the residential sector

The development of high-resolution greenhouse gas (GHG) inventories is an important step towards emission reduction in different sectors. However, most of the spatially explicit approaches that have been developed to date produce outputs at a coarse resolution or do not disaggregate the data by sector. In this study, we present a methodology for assessing GHG emissions from the residential sector by settlements at a fine spatial resolution. In many countries, statistical data about fossil fuel consumption is only available at the regional or country levels. For this reason, we assess energy demand for cooking and water and space heating for each settlement, which we use as a proxy to disaggregate regional fossil fuel consumption data. As energy demand for space heating depends heavily on climatic conditions, we use the heating degree day method to account for this phenomenon. We also take the availability of energy sources and differences in consumption patterns between urban and rural areas into account. Based on the disaggregated data, we assess GHG emissions at the settlement level using country and regional specific coefficients for Poland and Ukraine, two neighboring countries with different energy usage patterns. In addition, we estimate uncertainties in the results using a Monte Carlo method, which takes uncertainties in the statistical data, calorific values, and emission factors into account. We use detailed data on natural gas consumption in Poland and biomass consumption for several regions in Ukraine to validate our approach. We also compare our results to data from the EDGAR (Emissions Database for Global Atmospheric Research), which shows high agreement in places but also demonstrates the advantage of a higher resolution GHG inventory. Overall, the results show that the approach developed here is universal and can be applied to other countries using their statistical information.

     

Electricity demand in a changing climate

Our interest is in electricity demand and the temperature aspects of climate change. Electricity consumption is of interest both from the perspectives of adaptation to climate change and emission reductions. We study the relationship between European electricity consumption and outdoor temperature and other variables, using a panel data set of 31 countries. Apart from providing a rare quantitative window into adaptation, the study contributes demand system parameters with respect to price and income. The results suggest that weather has a statistically significant effect on electricity demand, with effects that are of plausible magnitude. In a simulation of climate change for the next 100 years—other factors held constant—we find that the demand for heating will decrease in Northern Europe while the demand for cooling will increase in Southern Europe. In countries like Cyprus, Greece, Italy, Malta, Spain, and Turkey the net effect of increased cooling outweighs decreased heating consumption whereas in most of Europe the opposite holds. The largest estimated partial impact is 20%, which predicted increase in adaptive consumption for Turkey and decrease in adaptive consumption for Latvia. Estimated elasticities with respect to income and price are 0.8 and minus 0.2 respectively: plausible in the light of the literature. As a discussion item, we add that electricity consumption changes due to temperature change likely will be small compared to those due to other factors, such as changes in income, demography and technology. The study does not include effects of climate change other than through electricity consumption.     

东莞市低碳路径下加速电气化对CO2和污染物协同减排影响

城市是能源消耗的中心，电气化可以整合城市能源结构，实现清洁能源高效利用，探究城市低碳路径下加速电气化的协同减排影响对实现城市减污降碳至关重要.基于长期能源替代规划模型(LEAP-DG),设置了基准情景、低碳情景和加速电气化情景等3类情景，评估电气化措施在不同电力结构下的减排潜力，量化重点部门的措施贡献，探讨广东省典型制造业城市东莞的协同减排效果.结果表明，电力结构优化促进了电气化措施的协同减排效果，低碳路径下加速电气化将进一步降低电力污染物排放强度，2050年，东莞市CO₂、 NO_x、 VOC和CO减排7.35×10⁶、 1.28×10⁴、 1.62×10⁴和8.13×10⁴ t, SO₂和PM_2.5消费侧减排量和生产侧增排量达到平衡.电气化渗透速率和电力结构优化协调发展是电气化措施实现减排效益的关键，工业和交通部门加速电气化将同时降低CO₂和大气污染物排放，交通部门得益于燃油车和电动车的高...     

Impact of energy structure adjustment on air quality: a case study in Beijing, China

Energy consumption is a major cause of air pollution in Beijing, and the adjustment of the energy structure is of strategic importance to the reduction of carbon intensity and the improvement of air quality. In this paper, we explored the future trend of energy structure adjustment in Beijing till 2020, designed five energy scenarios focusing on the fuel substitution in power plants and heating sectors, established emission inventories, and utilized the Mesoscale Modeling System Generation 5 (MM5) and the Models-3/Community Multiscale Air Quality Model (CMAQ) to evaluate the impact of these measures on air quality. By implementing this systematic energy structure adjustment, the emissions of PM₁₀, PM_2.5, SO₂, NO _x , and non-methane volatile organic compounds (NMVOCs) will decrease distinctly by 34.0%, 53.2%, 78.3%, 47.0%, and 30.6% respectively in the most coalintensive scenario of 2020 compared with 2005. Correspondingly, MM5-Models-3/CMAQ simulations indicate significant reduction in the concentrations of major pollutants, implying that energy structure adjustment can play an important role in improving Beijing’s air quality. By fuel substitution for power plants and heating boilers, PM₁₀, PM_2.5, SO₂, NO _x , and NMVOCs will be reduced further, but slightly by 1.7%, 4.5%, 11.4%, 13.5%, and 8.8% respectively in the least coal-intensive scenario. The air quality impacts of different scenarios in 2020 resemble each other, indicating that the potential of air quality improvement due to structure adjustment in power plants and heating sectors is limited. However, the CO₂ emission is 10.0% lower in the least coal-intensive scenario than in the most coal-intensive one, contributing to Beijing’s ambition to build a low carbon city. Except for energy structure adjustment, it is necessary to take further measures to ensure the attainment of air quality standards.     

CO2-emission reduction in China’s residential building sector and contribution to the national climate change mitigation targets in 2020

Between 1980 and 2007, in the Chinese building sector in urban and rural areas, coal was mainly substituted with electricity and natural gas. Growing income will further increase energy consumption and CO₂-emissions in the building sector. Using an econometric model, disaggregated energy demand and related CO₂-emissions in the residential sector as well for the whole economy are estimated and forecasted until 2050. In 2009, the Chinese government pledged itself to reduce CO₂-intensity by 40%?C45% in 2020 compared to 2005. Aim of this article is to assess to which extent the measures in the building sector in China can contribute to this target. Main results of the analysis are: (a) The primary energy source coal was mainly substituted by electricity generated with coal. Apart from convenience gains, the environmental advantages are questionable. (b) Between 2010 and 2050, energy demand in the building sector will grow by 2.0%?C4.1% per annum leading to CO₂-emissions at least almost tripling from about 560 mill. tons in 2010 to about 1,500 mill. tons in 2050. (c) The energy efficiency gains in the building sector and other sectors of the Chinese economy, however, are not enough to fulfill the national CO₂-intensity targets. The reduction of the CO₂-intensity of GDP would be 37.2% in the BAU-scenario, and 31.9% in the LOW-scenario. Only in the HIGH-scenario (46.3%), the economy is growing efficient enough relative to the induced CO₂-emissions. The remaining CO2-emission reductions could be gained by additional promotion of renewable energies (mainly solar and geo-thermal) in the building sector.     

Global Biomass Energy Potential

The intensive use of renewable energy is one of the options to stabilize CO₂atmospheric concentration at levels of 350 to 550ppm. A recent evaluation of the global potential of primary renewable energy carried out by Intergovernmental Panel on Climate Change (IPCC) sets a value of at least 2800EJ/yr, which is more than the most energy-intensive SRES scenario forecast for the world energy requirement up to the year 2100. Nevertheless, what is really important to quantify is the amount of final energy since the use of renewable sources may involve conversion efficiencies, from primary to final energy, different from the ones of conventional energy sources. In reality, IPCC does not provide a complete account of the final energy from renewables, but the text claims that using several available options to mitigate climate change, and renewables is only one of them, it is possible to stabilize atmospheric carbon dioxide (CO₂) concentration at a low level. In this paper, we evaluate in detail biomass primary and final energy using sugarcane crop as a proxy, since it is one of the highest energy density forms of biomass, and through afforestation/reforestation using a model presented in IPCC Second Assessment Report (SAR). The conclusion is that the primary-energy potential for biomass has been under-evaluated by many authors and by IPCC, and this under-evaluation is even larger for final energy since sugarcane allows co-production of electricity and liquid fuel. Regarding forests we reproduce IPCC results for primary energy and calculate final energy. Sugarcane is a tropical crop and cannot be grown in all the land area forecasted for biomass energy plantation in the IPCC/TAR evaluation (i.e. 1280Mha). Nevertheless, there are large expanses of unexploited land, mainly in Latin America and Africa that are subject to warm weather and convenient rainfall. With the use of 143Mha of these lands it is possible to produce 164EJ/yr (1147GJ/hayr or 3.6W/m²on average) of primary energy and 90EJ/yr of final energy in the form of liquid fuel (alcohol) and electricity, using agricultural productivities near the best ones already achievable and biomass gasification technology. More remarkable is that these results can be obtained with the operation of 4,000 production units with unitary capacity similar to the largest currently in operation. These units should be spread over the tropical land area yielding a plantation density similar to the one presently observed in the state of São Paulo, Brazil, where alcohol and electricity have been commercialized in a cost-effective way for several years. Such an amount of final energy would be sufficiently large to fulfill all the expected global increase in oil demand, as well as in electricity consumption by 2030, assuming the energy demand of such sources continues to grow at the same pace observed over the last two decades. When sugarcane crops are combined with afforestation/reforestation it is possible to show that carbon emissions decline for some IPCC SRES scenarios by 2030, 2040 and 2050. Such energy alternatives significantly reduce CO₂emissions by displacing fossil fuels and promote sustainable development through the creation of millions of direct and indirect jobs. Also, it opens an opportunity for negative CO₂emissions when coupled with carbon dioxide capture and storage.     

Carbon footprint of canned mussels from a business-to-consumer approach. A starting point for mussel processors and policy makers

The increasing demand for environmental information on the global warming impact of products requires a solid methodological framework which guarantees comparability and communicability. The publicly available specification PAS 2050 combines approaches to a variety of greenhouse gas specific assessment issues to deliver a globally applicable product Carbon Footprinting (CF) method, which is expected to be widely accepted. Specifically, this paper aims to demonstrate the implementation of a CF scheme for a common canned mussel product according to PAS 2050 guidelines. A final value of 4.35 kg CO₂e per triple pack of round cans of mussels was calculated. Furthermore, this CF study led to identify primary packaging (can production) and mussel shell management as the main activities where efforts should focus for climate change mitigation. Throughout this case study, CF opportunities and drawbacks are discussed. The whole text tries to provide a starting point for both mussel processors and policy makers to benefit from the potential advantages of a responsible use of this increasingly popular tool.     

Prospects for carbon-neutral housing: the influence of greater wood use on the carbon footprint of a single-family residence

This paper examines the energy and carbon balance of two residential house alternatives; a typical wood frame home using more conventional materials (brick cladding, vinyl windows, asphalt shingles, and fibreglass insulation) and a similar wood frame house that also maximizes wood use throughout (cedar shingles and siding, wood windows, and cellulose insulation) in place of the more typical materials used – a wood-intensive house. Carbon emission and fossil fuel consumption balances were established for the two homes based on the cumulative total of three subsystems: (1) forest harvesting and regeneration; (2) cradle-to-gate product manufacturing, construction, and replacement effects over a 100-year service life; and (3) end-of-life effects – landfilling with methane capture and combustion or recovery of biomass for energy production.The net carbon balance of the wood-intensive house showed a complete offset of the manufacturing emissions by the credit given to the system for forest re-growth. Including landfill methane emissions, the wood-intensive life cycle yielded 20 tons of CO₂e emissions compared to 72 tons for the typical house. The wood-intensive home's life cycle also consumed only 45% of the fossil fuels used in the typical house.Diverting wood materials from the landfill at the end of life improved the life cycle balances of both the typical and wood-intensive houses. The carbon balance of the wood-intensive house was 5.2 tons of CO₂e permanently removed from the atmosphere (a net carbon sink) as compared to 63.4 of total CO₂e emissions for the typical house. Substitution of wood fuel for natural gas and coal in electricity production led to a net energy balance of the wood-intensive house that was nearly neutral, 87.1 GJ energy use, 88% lower than the scenario in which the materials were landfilled.Allocating biomass generation and carbon sequestration in the forest on an economic basis as opposed to a mass basis significantly improves the life cycle balances of both houses. Employing an economic allocation method to the forest leads to 3–5 times greater carbon sequestration and fossil fuel substitution attributable to the house, which is doubled in forestry regimes that remove stumps and slash as fuel. Thus, wood use has the potential to create a significantly negative carbon footprint for a house up to the point of occupancy and even offset a portion of heating and cooling energy use and carbon emissions; the wood-intensive house is energy and carbon neutral for 34–68 years in Ottawa and has the potential to be a net carbon sink and energy producer in a more temperate climate like San Francisco.     

黄淮海平原冬小麦种植的气候变化适应评估

水资源短缺影响黄淮海平原农业稳定和可持续发展。气候变化情景下,农业用水紧张的问题可能进一步加剧,种植制度和作物品种区域布局将面临调整。论文利用IPCC 5三种代表性温室气体浓度排放路径（RCP 2.6、RCP 4.5和RCP 8.5）的多模式集成数据,基于VIP（soil-Vegetation-atmosphere Interface Processes）生态水文模型,模拟了2011—2059年黄淮海平原二级子流域的水资源盈亏变化。在此基础上,针对水分亏缺最严重的子流域,设计无外来调水和维持2000—2010年调水总量水平的两种流域地下水采补均衡情景,对冬小麦种植区域的合理布局及其对产量的影响进行评估。结果表明,2050年代黄淮海平原农作物蒸散量增幅大于降雨量增幅,北部地区水分亏缺量将增加,南部地区水分盈余量则减少。在低到高的排放情景下,全区域水分盈余量下降0.1%~14.1%。两种地下水采补均衡情景下,2050年代黄淮海平原冬小麦种植面积应分别减少9.8%~11.3%和7.0%~8.8%,相应产量分别增加0~11.9%和3.0%~15.9%。适当减少冬小麦种植面积,可有效减缓黄淮海地区农业水资源的不足,保护生态环境,促进农业可持续发展。     

Cost estimates of the Kigali Amendment to phase-down hydrofluorocarbons

Hydrofluorocarbons (HFCs) are synthetically produced compounds primarily used for cooling purposes and with strong global warming properties. In this paper, we analyze the global abatement costs for achieving the substantial reductions in HFC consumption agreed in the Kigali Amendment (KA) of the Montreal Protocol from October 2016. We estimate that compliance with the KA is expected to remove 39 Pg CO₂eq or 61% of global baseline HFC emissions over the entire period 2018–2050. The marginal cost of meeting the KA targets is expected to remain below 60 €/t CO₂eq throughout the period in all world regions except for developed regions where legislation to control HFC emissions has already been in place since a few years. For the latter regions, the required HFC consumption reduction is expected to come at a marginal cost increasing steadily to between 90 and 118 €/t CO₂eq in 2050. Depending on the expected rate of technological development and the extent to which envisaged electricity savings can be realized, compliance with KA is estimated attainable at a global cost ranging from a net cost-saving of 240 billion € to a net cost of 350 billion € over the entire period 2018 to 2050 and with future global electricity-savings estimated at between 0.2% and 0.7% of expected future electricity consumption.     

Bus fleet emissions: new strategies for mitigation by adopting natural gas

Energy consumption is related to local, regional and global impacts. Thus, by comparing different replacement scenarios of diesel vehicles with compressed natural gas, this article estimates pollutants and greenhouse gases emission in the city of São Paulo, Brazil. The calculation of fuel consumption is based on fleet characteristics, in terms of vehicle age, the average annual distance travelled by bus depending on the year and average fuel consumption. These values served as a basis to develop scenarios considering that a percentage of new vehicles that will be phased out and replaced with ones running on natural gas. Results show that the total avoided emissions can range from 579 thousand tons to 1.375 million tons of carbon dioxide (CO₂₎ over 20 years, depending on the scenario. For particulate matter, accumulated avoided emissions vary from 251 thousand to 584 tons over 20 years. The replacement of diesel buses with natural gas-fuelled buses presents favourable results, in comparison with the tendency scenario for CO₂ and particulate matter. Thus, a public policy for fuel replacement in largest cities, such as Sao Paulo, has an important global impact, especially when allowing the introduction of a renewable energy source, such as biogas. It will benefit from the natural gas previous infrastructure, which is largely available in Brazil. As recommendations, we explain the need to review the city of Sao Paulo Climate Change Law to allow the use of natural gas. Fuel replacement should be integrated with a public policy/public policies and operational strategies to promote citizens´ health as well as historical, cultural and heritage conservation for the city and its future generations.     

Carbon tax,emission trading,or the mixed policy: which is the most effective strategy for climate change mitigation in China?

China, as the world’s largest emitter, intends to achieve the peaking of carbon dioxide (CO₂) emissions around 2030 and to make best efforts to peak early to mitigate global change. Under this strategy, a dynamic, recursive computable general equilibrium (CGE) model is used to analyze the economy, energy, and environment impact of CO₂ emission reduction policy based on 17 scenarios in China: carbon tax, emission trading scheme (ETS), and the mixed policy in different price level, in order to find out which kind of emission reduction strategy is more feasible. The results show that CO₂ emission in 2030 will be reduced with the implementation of tax, ETS and mixed policy, by 10–13 %, 12–14 %, and 18–28 %, respectively. From 2016 to 2030, China can reduce 18,338–24,156 Mt CO₂ through the implementation of mixed policy. Furthermore, relative to single policy, mixed policy has stronger effects on primary energy consumption cut, by 738–1124 Mtoe or 18–28 %, which will make CO₂ emissions reach a peak before 2030 and the peak emission is not greater than 12 billion tons which is in line with the reduction demand in China. Thus, the mixed policy is the most effective strategy so that mixed policy is recommended to parties included in Annex I in United Nations Framework Convention on Climate Change Kyoto Protocol and other countries with large potential of emission reduction, while ETS is suggested to countries with low carbon emissions per capita which can balance economic development and CO₂ mitigation.