Fuel conservation and GHG (Greenhouse gas) emissions mitigation scenarios for China’s passenger vehicle fleet

Passenger vehicles are the main consumers of gasoline in China. We established a bottom-up model which focuses on the simulation of energy consumptions and greenhouse gas (GHG) emissions growth by China’s passenger vehicle fleet. The fuel conservation and GHG emissions mitigation effects of five measures including constraining vehicle registration, reducing vehicle travel, strengthening fuel consumption rate (FCR) limits, vehicle downsizing and promoting electric vehicle (EV) penetration were evaluated. Based on the combination of these measures, the fuel conservation and GHG emissions mitigation scenarios for China’s passenger vehicle fleet were analyzed. Under reference scenario with no measures implemented, the fuel consumptions and life cycle GHG emissions will reach 520 million tons of oil equivalent (Mtoe) and 2.15 billion tons in 2050, about 8.1 times the level in 2010. However, substantial fuel conservation can be achieved by implementing the measures. By implementing all five measures together, the fuel consumption will reach 138 Mtoe in 2030 and decrease to 126 Mtoe in 2050, which is only 37.1% and 24.3% of the consumption under reference scenario. Similar potential lies in GHG mitigation. The results and scenarios provided references for the Chinese government’s policy-making.     

Comparison of policies on vehicle ownership and use between Beijing and Shanghai and their impacts on fuel consumption by passenger vehicles

The fast growth of vehicle population in China has caused problems such as traffic congestion and excessive fuel consumption. There have been demands for policy control on growth in private vehicle travel demand. Beijing and Shanghai are China’s first two cities to implement policies on vehicle ownership and use. In this paper, we compared policies in the two cities and estimated their impacts on fuel consumption by passenger vehicles. The limitation of vehicle use in Beijing provides limited but immediate reduction in fuel consumption. The limitation of vehicle ownership in Shanghai provides large potential of fuel conservation in a longer term. Under current policy, fuel consumptions by passenger vehicles in Beijing and Shanghai in 2020 were estimated to reach 7.5 and 3.9 billion liters, respectively. The experiences of Beijing and Shanghai are highly relevant for cities in China and abroad that are facing the same problems.     

Reduction potentials of energy demand and GHG emissions in China's road transport sector

Rapid growth of road vehicles, private vehicles in particular, has resulted in continuing growth in China's oil demand and imports, which has been widely accepted as a major factor effecting future oil availability and prices, and a major contributor to China's GHG emission increase. This paper is intended to analyze the future trends of energy demand and GHG emissions in China's road transport sector and to assess the effectiveness of possible reduction measures. A detailed model has been developed to derive a reliable historical trend of energy demand and GHG emissions in China's road transport sector between 2000 and 2005 and to project future trends. Two scenarios have been designed to describe the future strategies relating to the development of China's road transport sector. The ‘Business as Usual’ scenario is used as a baseline reference scenario, in which the government is assumed to do nothing to influence the long-term trends of road transport energy demand. The ‘Best Case’ scenario is considered to be the most optimized case where a series of available reduction measures such as private vehicle control, fuel economy regulation, promoting diesel and gas vehicles, fuel tax and biofuel promotion, are assumed to be implemented. Energy demand and GHG emissions in China's road transport sector up to 2030 are estimated in these two scenarios. The total reduction potentials in the ‘Best Case’ scenario and the relative reduction potentials of each measure have been estimated.     

Scenario analysis on alternative fuel/vehicle for China’s future road transport: Life-cycle energy demand and GHG emissions

The rapid growth of vehicles has resulted in continuing growth in China’s oil demand. This paper analyzes future trends of both direct and life cycle energy demand (ED) and greenhouse gas (GHG) emissions in China’s road transport sector, and assesses the effectiveness of possible reduction measures by using alternative vehicles/fuels. A model is developed to derive a historical trend and to project future trends. The government is assumed to do nothing additional in the future to influence the long-term trends in the business as usual (BAU) scenario. Four specific scenarios are used to describe the future cases where different alternative fuel/vehicles are applied. The best case scenario is set to represent the most optimized case. Direct ED and GHG emissions would reach 734 million tonnes of oil equivalent and 2384 million tonnes carbon dioxide equivalent by 2050 in the BAU case, respectively, more than 5.6 times of 2007 levels. Compared with the BAU case, the relative reductions achieved in the best case would be 15.8% and 27.6% for life cycle ED and GHG emissions, respectively. It is suggested for future policy implementation to support sustainable biofuel and high efficient electric-vehicles, and the deployment of coal-based fuels accompanied with low-carbon technology.     

Energy demand and greenhouse gas emissions during the production of a passenger car in China

Rapidly-rising oil demand and associated greenhouse gas (GHG) emissions from road vehicles in China, passenger cars in particular, have attracted worldwide attention. As most studies to date were focused on the vehicle operation stage, the present study attempts to evaluate the energy demand and GHG emissions during the vehicle production process, which usually consists of two major stages—material production and vehicle assembly. Energy demand and GHG emissions in the material production stage are estimated using the following data: the mass of the vehicle, the distribution of material used by mass, and energy demand and GHG emissions associated with the production of each material. Energy demand in the vehicle assembly stage is estimated as a linear function of the vehicle mass, while the associated GHG emission is estimated according to the primary energy sources. It is concluded that the primary energy demand, petroleum demand and GHG emissions during the production of a medium-sized passenger car in China are 69,108 MJ, 14,545 MJ and 6575 kg carbon dioxide equivalent (CO₂-eq). Primary energy demand, petroleum demand and GHG emissions in China’s passenger car fleets in 2005 would be increased by 22%, 5% and 30%, respectively, if the vehicle production stage were included.     

Impacts of urban form on future US passenger-vehicle greenhouse gas emissions

Urban form – for example, sprawl versus infill development – impacts people's daily travel patterns and annual vehicle-kilometers traveled (VKT). This paper explores how urban form impacts greenhouse gas (GHG) emissions from passenger-vehicles, the largest source of urban transportation GHG emissions. Our research uses a recently published urban scaling rule to develop six scenarios for high- and low-sprawl US urban growth. We develop and apply a Monte Carlo approach that describes ensemble statistics for several dozen urban areas rather than forecasting changes in individual urban areas. Then, employing three vehicle- and fuel-technology scenarios, we estimate total passenger VKT and resulting GHG emissions for US urban areas. Our results indicate that comprehensive compact development could reduce US 2000–2020 cumulative emissions by up to 3.2 GtCO₂e (15–20% of projected cumulative emissions). In general, vehicle GHG mitigation may involve three types of approaches: more-efficient vehicles, lower-GHG fuels, and reduced VKT. Our analyses suggest that all three categories must be evaluated; otherwise, improvements in one or two areas (e.g., vehicle fuel economy, fuel carbon content) can be offset by backsliding in a third area (e.g., VKT growth).     

Relationship between level of economic development and motorcycle and car ownerships and their impacts on fuel consumption and greenhouse gas emission in Thailand

An increase in road vehicles secondary to economic development has strongly pushed up energy demand and adversely impact the environment by the emission of greenhouse gases and pollutants. This paper aims to analyse the relationship between motorcycle and car ownerships and level of economic development in Thailand. In addition, an overall private vehicle ownership which is a sum of both types of private vehicle ownership is also studied. An understanding of these relationships due to the economic development is a key knowledge for the sustainable transport policy in the future.The results of this study revealed that at the early stage of economic development of developing countries like Thailand, the number of motorcycles predominates over private cars. Economic development strongly affects the ownership of private vehicles in two ways: (1) overall private vehicle ownerships increase as the income levels grow and (2) after personal income grows up to a certain level, people will shift from motorcycle to car ownerships for their prestige, convenience, comfort and safety. Because of continuing economic development and population growth, the expected increase in overall private vehicle ownership is projected to push up the total private vehicle stock of Thailand in the year 2050 to about twice of the present level. This will drive fuel demands in 2050 to about 2.4 times, and the greenhouse gases (GHG) emission to about 2.5 times of the current levels.Hence, policy makers in developing countries should not overlook the impacts on the consequences of increasing overall private vehicle stock in the near future. The best and most appropriate policies should be given to the development of public transport as the first priority rather than the traditional one, which gives highest priority to traffic mobility of private vehicles by road transport neglecting the effectiveness of passengers’ mobility of the public transport. In addition, policies to promote high efficiency vehicle technologies, particularly for motorcycles, should also be taken into consideration, particularly for a low income country due to a high share of the motorcycles in the overall private vehicle stock.     

Comparative economic and environmental benefits of ownership of both new and used light duty hydrogen fuel cell vehicles in Japan

We present a novel study of the differential total costs of ownership and marginal cost of life cycle emissions abatement for owners of both new and used light duty fuel cell and internal combustion engine vehicles in Japan. We find the emergence of used FCVs in the fleet significantly improves the economic and emissions savings over ICEVs. The cumulative life cycle GHG emissions reductions rapidly increase when FCVs exceed 55%–70% of total LDVs. Life cycle emissions in the vehicle fleet increase 40% if hydrogen is produced from SMR with CCS rather than from solar or wind based electrolysis. Fuel cell cost and electrolyser efficiency are key factors in achieving benefits. Finally, if the early time growth of FCVs to 2030 can be maintained near 50% the government 2050 emissions reduction target of 80% reduction from a 2013 base can be achieved.     

Comparative assessment of future motor vehicles under various climate change mitigation scenarios

The aim of comparative assessment of future road transport technologies is to find the cheapest motor vehicles in terms of private and external Greenhouse Gas (GHG) emission costs under various international climate change mitigation scenarios in 2020 and 2050. The comparative assessment of the main road transport technologies ranging from conventional vehicles to hybrid electric vehicles was performed. The main indicators for comparative future motor vehicles assessment are: private costs and life cycle external costs of GHG emissions. The obtained ranking of road transport technologies allows to identify the most perspective future motor vehicles taking into account international climate change mitigation constraints and to promote these road technologies by policy tools. The cheapest road transport technologies in 2020 and 2050 are: the main results presented in this paper were obtained during EU financed Framework 7 project “PLANETS” dealing with probabilistic long-term assessment of new energy technology scenarios.     

中国中长期碳减排战略目标初探(Ⅲ)——石油能源产品在交通运输等行业中的应用和碳减排

在我国中长期的终端能源需求中石油将占约15%的份额,其中55%～60%将被用于交通运输行业。逐步减少交通运输领域石油能源产品的使用量,对减少能源消费总量和二氧化碳排放量十分重要。目前国内外研究机构预测的中国2050年货运周转总量(8×104～9×104Gt.km)及公路货运周转量均明显偏高,造成预测的运输燃料消耗量太高,这也反映出调整中国经济产业结构和进出口贸易结构的紧迫性。减少私人乘用车的拥有量和出行量也是节能减排的关键,采用西方发达国家私人乘用车的比例,预测中国2050年将拥有5×108～6×108辆乘用车不符合中国人口众多、城市中心区人口密度的特点,将乘用车数量控制在3.0×108辆的水平比较恰当。目前全球运输领域二氧化碳排放量约占总排放量的20%～25%,中国运输领域的二氧化碳排放量将逐步上升,占总排放量的份额将从目前的7%提高到2050年的30%以上。应努力采取各种措施,使2050年乘用车的二氧化碳排放强度降低到40g/km的水平。除了减少化石能源石油产品使用量、使用生物质燃料、推广纯电动汽车和开发燃料电池汽车外,改变出行方式、发展方便快捷的公共交通显得十分重要。预计我国2050年燃料电池汽车将占到小汽车保有量的20%左右,纯电动汽车占30%左右,各种混合动力汽车将占50%左右。为了使中国2050年二氧化碳排放总量控制在40×108～50×108t的水平,有可能也有必要将石油的使用量控制在6.0×108t,交通运输领域石油能源产品使用量控制在4.0×108t以下。     

Impact of future urban form on the potential to reduce greenhouse gas emissions from residential,commercial and public buildings in Utsunomiya,Japan

Energy-saving technologies’ applicability to making cities more environmentally sustainable can be strongly influenced by the city's form, building uses and their density pattern. Technological developments have clearly shown specific urban forms to be more conducive to installing certain mitigation technologies. In this study, the capacity for implementation and impacts on energy savings and subsequent greenhouse gas (GHG) reduction potential of mitigation technologies such as photovoltaic cells (PV) and combined heat and power (CHP) technologies were analysed with respect to three potential urban forms (high density centralised, medium density averaged and low density de-centralized) for Utsunomiya City, Japan. Given current building use patterns, scenarios for 2030 and 2050, showed the medium density averaged form, which benefits from both PV and CHP technologies, to outperform the other forms, resulting in an energy savings and GHG reduction potential of 27.6% in 2030 and 67.6% in 2050. Interestingly, GHG reduction in 2050 was primarily attributable to PV, while CHP technology had the greater influence in 2030. Despite the limitation of the analysis, the study provides a useful insight, highlighting the relationship between urban forms and GHG reduction potential by two energy-saving technologies.     

Energy demand and emissions from road transportation vehicles in China

Rapidly growing energy demand and emissions from China's road transportation vehicles in the last two decades have raised concerns over oil security, urban air pollution and global warming. This rapid growth will be likely to continue in the next two to three decades as the vehicle ownership level in China is still very low. The current status of China's road transport sector in terms of vehicles, infrastructure, energy use and emissions is presented. Mitigation measures implemented and those that can reasonably be expected to be adopted in the near future are analysed. Recent studies exploring the future trends of road vehicle energy demand and emissions under various strategies are reviewed. Moreover, those studies which assessed various fuel/propulsion options in China from a life cycle perspective are examined to present an overview of the potential for reducing energy use and emissions. Recommendations for further developments are also made. It is concluded that comprehensive and appropriate strategies will be needed to minimise the adverse impacts of China's road vehicles on energy resources and the environment. Fortunately, China appears to be heading in this direction.     

Modeling California policy impacts on greenhouse gas emissions

This paper examines policy and technology scenarios in California, emphasizing greenhouse gas (GHG) emissions in 2020 and 2030. Using CALGAPS, a new, validated model simulating GHG and criteria pollutant emissions in California from 2010 to 2050, four scenarios were developed: Committed Policies (S1), Uncommitted Policies (S2), Potential Policy and Technology Futures (S3), and Counterfactual (S0), which omits all GHG policies. Forty-nine individual policies were represented. For S1–S3, GHG emissions fall below the AB 32 policy 2020 target [427 million metric tons CO₂ equivalent (MtCO₂e) yr⁻¹], indicating that committed policies may be sufficient to meet mandated reductions. In 2030, emissions span 211–428 MtCO₂e yr⁻¹, suggesting that policy choices made today can strongly affect outcomes over the next two decades. Long-term (2050) emissions were all well above the target set by Executive Order S-3-05 (85 MtCO₂e yr⁻¹); additional policies or technology development (beyond the study scope) are likely needed to achieve this objective. Cumulative emissions suggest a different outcome, however: due to early emissions reductions, S3 achieves lower cumulative emissions in 2050 than a pathway that linearly reduces emissions between 2020 and 2050 policy targets. Sensitivity analysis provided quantification of individual policy GHG emissions reduction benefits.     

低碳发展时代的世界与中国能源格局

哥本哈根会议认定了"2℃"和"在2050年前全球排放量减到1990年的一半",到2050年,碳减排要求世界人均能耗不高于2.5t标煤/a。能源碳强度ω是一个反映碳排放与能源结构关系的新指标,利用它与一次能源消费中生成并排放二氧化碳的各种形式能源所占比率γ的关联式ω=2.4γ进行推算:按照450情景方案,二氧化碳排放峰值307×108t出现在2020年,而能耗峰值在2030年左右;按照丹麦方案,二氧化碳排放峰值320×108t出现在2025年,能耗峰值也大约在2030年,将达到273×108t标煤/a,人均3.3t标煤/a。碳排放峰值年越推迟,达到2050年远期目标的难度越大。按照丹麦方案,2030~2050年的20年间,需平均每年减排10×108t二氧化碳,同时与450情景方案相比,大气中二氧化碳总量将增加400×108t以上。根据中国政府宣布的2010~2020年的减排目标推算,2020年能耗为41×108t标煤,二氧化碳排放约74×108t,中国只要能做到能耗强度每5年降低20%,就能够实现此目标。中国应在2020年之前快速发展非化石能源、加速产业转型、大力发展天然气、大幅提高能效,这样就完全能够与世界减排同行。     

Evaluating the effectiveness of urban energy conservation and GHG mitigation measures: The case of Xiamen city,China

To assess the effectiveness of urban energy conservation and GHG mitigation measures, a detailed Long-range Energy Alternatives Planning (LEAP) model is developed and applied to analyze the future trends of energy demand and GHG emissions in Xiamen city. Two scenarios have been designed to describe the future energy strategies in relation to the development of Xiamen city. The ‘Business as Usual’ scenario assumes that the government will do nothing to influence the long-term trends of urban energy demand. An ‘Integrated’ scenario, on the other hand, is generated to assess the cumulative impact of a series of available reduction measures: clean energy substitution, industrial energy conservation, combined heat and power generation, energy conservation in building, motor vehicle control, and new and renewable energy development and utilization. The reduction potentials in energy consumption and GHG emissions are estimated for a time span of 2007–2020 under these different scenarios. The calculation results in Xiamen show that the clean energy substitution measure is the most effective in terms of energy saving and GHG emissions mitigation, while the industrial sector has the largest abatement potential.     

Pathways to Mexico’s climate change mitigation targets: A multi-model analysis

Mexico’s climate policy sets ambitious national greenhouse gas (GHG) emission reduction targets—30% versus a business-as-usual baseline by 2020, 50% versus 2000 by 2050. However, these goals are at odds with recent energy and emission trends in the country. Both energy use and GHG emissions in Mexico have grown substantially over the last two decades. We investigate how Mexico might reverse current trends and reach its mitigation targets by exploring results from energy system and economic models involved in the CLIMACAP-LAMP project. To meet Mexico’s emission reduction targets, all modeling groups agree that decarbonization of electricity is needed, along with changes in the transport sector, either to more efficient vehicles or a combination of more efficient vehicles and lower carbon fuels. These measures reduce GHG emissions as well as emissions of other air pollutants. The models find different energy supply pathways, with some solutions based on renewable energy and others relying on biomass or fossil fuels with carbon capture and storage. The economy-wide costs of deep mitigation could range from 2% to 4% of GDP in 2030, and from 7% to 15% of GDP in 2050. Our results suggest that Mexico has some flexibility in designing deep mitigation strategies, and that technological options could allow Mexico to achieve its emission reduction targets, albeit at a cost to the country.     

Oil consumption and CO2 emissions in China's road transport: current status,future trends,and policy implications

With the rapid economic growth in China, the Chinese road transport system is becoming one of the largest and most rapidly growing oil consumers in China. This paper attempts to present the current status and forecast the future trends of oil demand and CO₂ emissions from the Chinese road transport sector and to explore possible policy measures to contain the explosive growth of Chinese transport oil consumption. A bottom-up model was developed to estimate the historical oil consumption and CO₂ emissions from China's road transport sector between 1997 and 2002 and to forecast future trends in oil consumption and CO₂ emissions up to 2030. To explore the importance of policy options of containing the dramatic growth in Chinese transport oil demand, three scenarios regarding motor vehicle fuel economy improvements were designed in predicting future oil use and CO₂ emissions. We conclude that China's road transportation will gradually become the largest oil consumer in China in the next two decades but that improvements in vehicle fuel economy have potentially large oil-saving benefits. In particular, if no control measures are implemented, the annual oil demand by China's road vehicles will reach 363 million tons by 2030. On the other hand, under the low- and high-fuel economy improvement scenarios, 55 and 85 million tons of oil will be saved in 2030, respectively. The scenario analysis suggests that China needs to implement vehicle fuel economy improvement measures immediately in order to contain the dramatic growth in transport oil consumption. The imminent implementation is required because (1) China is now in a period of very rapid growth in motor vehicle sales; (2) Chinese vehicles currently in the market are relatively inefficient; and (3) the turnover of a fleet of inefficient motor vehicles will take a long time.     

Plug-in hybrid vehicle GHG impacts in California: Integrating consumer-informed recharge profiles with an electricity-dispatch model

This paper explores how Plug-in Hybrid Vehicles (PHEVs) may reduce source-to-wheel Greenhouse Gas (GHG) emissions from passenger vehicles. The two primary advances are the incorporation of (1) explicit measures of consumer interest in and potential use of different types of PHEVs and (2) a model of the California electricity grid capable of differentiating hourly and seasonal GHG emissions by generation source. We construct PHEV emissions scenarios to address inherent relationships between vehicle design, driving and recharging behaviors, seasonal and time-of-day variation in GHG-intensity of electricity, and total GHG emissions. A sample of 877 California new vehicle buyers provide data on driving, time of day recharge access, and PHEV design interests. The elicited data differ substantially from the assumptions used in previous analyses. We construct electricity demand profiles scaled to one million PHEVs and input them into an hourly California electricity supply model to simulate GHG emissions. Compared to conventional vehicles, consumer-designed PHEVs cut marginal (incremental) GHG emissions by more than one-third in current California energy scenarios and by one-quarter in future energy scenarios—reductions similar to those simulated for all-electric PHEV designs. Across the emissions scenarios, long-term GHG reductions depends on reducing the carbon intensity of the grid.     

Deployment of fuel cell vehicles in China: Greenhouse gas emission reductions from converting the heavy-duty truck fleet from diesel and natural gas to hydrogen

Hydrogen fuel cells, as an energy source for heavy duty vehicles, are gaining attention as a potential carbon mitigation strategy. Here we calculate the greenhouse gas (GHG) emissions of the Chinese heavy-duty truck fleet under four hydrogen fuel cell heavy-duty truck penetration scenarios from 2020 through 2050. We introduce Aggressive, Moderate, Conservative and No Fuel Cell Vehicle (No FCV) scenarios. Under these four scenarios, the market share of heavy-duty trucks powered by fuel cells will reach 100%, 50%, 20% and 0%, respectively, in 2050. We go beyond previous studies which compared differences in GHG emissions from different hydrogen production pathways. We now combine an analysis of the carbon intensity of various hydrogen production pathways with predictions of the future hydrogen supply structure in China along with various penetration rates of heavy-duty fuel cell vehicles. We calculate the associated carbon intensity per vehicle kilometer travelled of the hydrogen used in heavy-duty trucks in each scenario, providing a practical application of our research. Our results indicate that if China relies only on fuel economy improvements, with the projected increase in vehicle miles travelled, the GHG emissions of the heavy-duty truck fleet will continue to increase and will remain almost unchanged after 2025. The Aggressive, Moderate and Conservative FCV Scenarios will achieve 63%, 30% and 12% reductions, respectively, in GHG emissions in 2050 from the heavy duty truck fleet compared to the No FCV Scenario. Additional reductions are possible if the current source of hydrogen from fossil fuels was displaced with increased use of hydrogen from water electrolysis using non-fossil generated electricity.     

Exploring the potential of hydrogen in decarbonizing China's light-duty vehicle market

The Chinese government has pledged to achieve overall carbon neutrality by 2060. Currently, the transportation sector contributes to about 10% of total greenhouse gas (GHG) emissions in China. Hence, China has created a well-defined energy vehicle development strategy to reduce GHG emissions from the transportation sector, further expanding into hydrogen vehicle technologies. In this study, the Transportation Energy Analysis Model (TEAM) investigates the potential of hydrogen internal combustion engine vehicles (H₂-ICEVs) and fuel cell vehicles (FCEVs) as a reliable pathway towards the government's aspiration of carbon neutrality in the transportation sector. According to TEAM, by adopting FCEVs and H₂-ICEVs in the vehicle market, hydrogen demand could reach 25% of the total light-duty transportation energy demand in 2050. Consequently, this will lead to an annual reduction of more than 35 million tons GHG compared to only counting on the electrification pathway in the decarbonization task. Besides, FCEVs would take longer to penetrate the light-duty vehicle market compared to H₂-ICEVs, as the current fuel cell technology still requires much improvement to attain a competitive vehicle cost of production.