氢燃料电池汽车动力系统生命周期评价及关键参数对比

发展氢燃料电池汽车被认为是解决能源安全和环境污染问题的理想解决方案之一,为量化探究氢燃料电池汽车动力系统的化石能源消耗和排放情况,运用GaBi软件建模,以新能源汽车相关技术路线为参考,构建我国氢燃料电池汽车动力系统的数据清单并对其全生命周期化石能源消耗和全球变暖潜值情况进行定量评价计算和预测分析,对不同类型的双极板、不同能量控制策略和不同制氢方式对环境的影响分别进行了对比研究,并对关键数据进行了不确定分析.结果表明,预计到2030年我国每台氢燃料电池汽车动力系统生命周期的化石能源消耗量（ADP_f）、全球变暖潜值（GWP,以CO₂ eq计）和酸化潜值（AP,以SO₂ eq计）分别为1.35×10⁵ MJ、9108 kg和15.79 kg.动力系统生产制造阶段的化石能源消耗和全球变暖潜值均高于使用阶段,主要原因是燃料电池堆栈和储氢罐的制造过程.金属双极板、石墨复合双极板和石墨双极板的制造工艺中石墨复合双极板的综合环境效益最好.能量控制策略的优化会使得氢能消耗降低,当氢能消耗降低22.8%时,动力系统的生命周期化石能源消耗和全球变暖潜值分别降低10.4%和8.3%.相比于甲烷蒸气重整制氢,基于混合电网电解水制氢的动力系统生命周期全球变暖潜值高出53.7%[KG-*6],而基于水电电解水制氢降低39.6%.降低动力系统生命周期化石能源消耗和全球变暖潜值的措施包括优化能量控制策略降低氢能消耗、规模化发展可再生能源发电电解水制氢产业和聚焦突破燃料电池堆栈关键技术实现性能提升.     

Sectoral Trends and Driving Forces of Global Energy Use and Greenhouse Gas Emissions

Disaggregation of sectoral energy use and greenhouse gas emissions trends reveals striking differences between sectors and regions of the world. Understanding key driving forces in the energy end-use sectors provides insights for development of projections of future greenhouse gas emissions. This paper examines global and regional historical trends in energy use and carbon emissions in the industrial, buildings, transport, and agriculture sectors. Activity and economic drivers as well as trends in energy and carbon intensity are evaluated. We show that macro-economic indicators, such as GDP, are insufficient for comprehending trends and driving forces at the sectoral level. These indicators need to be supplemented with sector-specific information for a more complete understanding of future energy use and greenhouse gas emissions.     

基于LCA的北京市公交车节能及温室气体减排潜力分析

新能源公交车是未来城市公交行业节能及温室气体减排的重点发展方向.新能源公交车在行驶阶段具有良好的节能及温室气体减排效果,而汽车制造、能源生产等相关生命周期阶段的能耗及温室气体排放常被忽视,且目前新能源公交车的乘客运载功能相对较弱,可能对节能及温室气体减排的潜力造成较为显著的影响.因此,本文基于北京市公交车的运营特征,采用生命周期评价(LCA)方法,选择客运周转量作为功能单位,核算了天然气公交车、混合动力公交车和纯电动公交车等新能源公交车相对于柴油公交车的节能及温室气体减排效益.结果表明:发展新能源公交车对促进北京市公交行业及城市节能低碳发展具有积极的作用,但相对于基于运营里程的核算结果,本研究新能源公交车节能及温室气体减排潜力均较低,主要原因是新能源公交车的实际载客量相对较低;混合动力公交车和纯电动公交车在空调开启时的节能潜力与温室气体减排潜力均远低于天然气公交车;通过发展情景分析,建议北京市现阶段应优先发展天然气公交车,适当发展纯电动公交车和混合动力公交车,以减少北京市公交车的总体能耗,同时降低温室气体排放强度.     

生命周期方法在天然气基汽车燃料评价中的运用

运用生命周期评价方法,对以天然气为原料生产压缩天然气、甲醇、二甲醚、柴油4种汽车代用燃料系统进行生命周期的能源、环境和经济评价,评价结果是：压缩天然气系统生命周期内的能耗相对少,总成本相对低,对生态环境更友好,压缩天然气是富含天然气地区一段时期内汽车代用燃料的优先选择．     

2015年中国地区大气甲烷排放估计及空间分布

CH₄是仅次于CO₂的重要温室气体,也是重要的化学活性气体.定量估算我国甲烷的排放量及分析其空间分布特征,对于控制温室气体排放,减缓温室效应具有重要意义.本文以2015年中国官方统计年鉴资料为基础,利用IPCC排放清单指南、国内外排放因子研究结果及动力学模型方法,从能源活动（煤炭开采和油气系统）、农业活动（反刍动物、稻田排放和秸秆露天燃烧）、自然源排放（自然湿地和植被排放）、废弃物处理（固体废弃物、工业污水和生活污水）和人工湿地等几个主要方面,对中国地区的CH₄排放进行定量估计.结果表明：中国地区2015年CH₄排放总量为61.59 Tg,其中以农业活动和能源活动为主要排放源,排放量分别达到20.42 Tg和20.39 Tg,占总排放量比例分别约为33.2%和33.1%.CH₄自然源考虑了植被和自然湿地排放,排放量为11.77 Tg,占比为19.1%;废弃物处理产生的CH₄排放量为8.64 Tg,占比为14.0%;人工湿地排放量为0.37 Tg,占比为0.6%.从空间分布来看,CH₄排放具有较明显的不均匀性,大值区主要集中在华北、西南及东南地区,而西北地区的排放量则相对较低,主要与各地的资源环境、人口密度和经济情况密切相关.     

中国平板玻璃生产碳排放研究

平板玻璃行业是典型的高能耗、高排放行业,目前关于中国平板玻璃行业的碳排放问题还没有得到深入的研究.因此,本文调查了中国300余条主要的平板玻璃生产线,并在此基础上从范围1(工艺过程和化石燃料燃烧引起的直接排放)和范围2(净购入电力和热力在生产阶段引起的间接排放)评估了中国平板玻璃行业从2005年到2014年的CO_2排放情况.结果发现,中国平板玻璃行业CO_2排放量逐年增加,由2005年的2626.9×10~4t逐步上升到2015年的4620.5×10~4t.研究表明:能源消耗是平板玻璃行业碳排放的最主要来源,占比在80%左右,节能降耗是促进平板玻璃行业CO_2减排的主要途径;平板玻璃生产原料中碳酸盐的热分解是CO_2的主要来源之一,占总排放量的20%左右,控制平板玻璃配合料的气体率,在减少平板玻璃生产过程中的CO_2排放有很大潜力;推荐平板玻璃新建项目使用天然气并配备大型熔窑(日熔化量650 t以上)的浮法玻璃生产线,以减少CO_2排放.     

陕西省大气污染源二噁英排放量估算研究

在结合实际确定陕西省二噁英的主要排放源及其排放因子基础上,采用国际通用的气体排放量计算法估算了陕西省2000年-2008年的二噁英年排放量,并就排放量的构成和变化趋势进行分析。结果显示:二噁英的年排放总量呈增长趋势,介于27.67 98.39 g TEQ之间;能源消耗产生的二噁英居于首位,其排放量约占总排放量的50%。工业燃料燃烧和工业生产过程所排放的二噁英占年排放量的60%以上,控制工业污染源的二噁英排放势在必行。     

Stepwise multiple regression method of greenhouse gas emission modeling in the energy sector in Poland

The energy sector in Poland is the source of 81% of greenhouse gas (GHG) emissions. Poland, among other European Union countries, occupies a leading position with regard to coal consumption. Polish energy sector actively participates in efforts to reduce GHG emissions to the atmosphere, through a gradual decrease of the share of coal in the fuel mix and development of renewable energy sources. All evidence which completes the knowledge about issues related to GHG emissions is a valuable source of information. The article presents the results of modeling of GHG emissions which are generated by the energy sector in Poland. For a better understanding of the quantitative relationship between total consumption of primary energy and greenhouse gas emission, multiple stepwise regression model was applied. The modeling results of CO₂ emissions demonstrate a high relationship (0.97) with the hard coal consumption variable. Adjustment coefficient of the model to actual data is high and equal to 95%. The backward step regression model, in the case of CH₄ emission, indicated the presence of hard coal (0.66), peat and fuel wood (0.34), solid waste fuels, as well as other sources (− 0.64) as the most important variables. The adjusted coefficient is suitable and equals R² = 0.90. For N₂O emission modeling the obtained coefficient of determination is low and equal to 43%. A significant variable influencing the amount of N₂O emission is the peat and wood fuel consumption.     

Stepwise multiple regression method of greenhouse gas emission modeling in the energy sector in Poland

The energy sector in Poland is the source of 81% of greenhouse gas (GHG) emissions. Poland, among other European Union countries, occupies a leading position with regard to coal consumption. Polish energy sector actively participates in efforts to reduce GHG emissions to the atmosphere, through a gradual decrease of the share of coal in the fuel mix and development of renewable energy sources. All evidence which completes the knowledge about issues related to GHG emissions is a valuable source of information. The article presents the results of modeling of GHG emissions which are generated by the energy sector in Poland. For a better understanding of the quantitative relationship between total consumption of primary energy and greenhouse gas emission, multiple stepwise regression model was applied. The modeling results of CO₂ emissions demonstrate a high relationship (0.97) with the hard coal consumption variable. Adjustment coefficient of the model to actual data is high and equal to 95%. The backward step regression model, in the case of CH₄ emission, indicated the presence of hard coal (0.66), peat and fuel wood (0.34), solid waste fuels, as well as other sources (-0.64) as the most important variables. The adjusted coefficient is suitable and equals R² = 0.90. For N₂O emission modeling the obtained coefficient of determination is low and equal to 43%. A significant variable influencing the amount of N₂O emission is the peat and wood fuel consumption.     

江浙沪地区能源及转化业温室气体排放及减排措施

根据ＩＰＣＣ提供的方法，对１９９０年江浙沪地区能源及转化业中能源的消耗量和温室气体的排放进行了统计计算，对数据进行了进一步的评价和分析，江浙沪地区能源及转化业能源消耗中固体燃料占８１．７％，液体燃料占１５．４％，气体燃料占２．９％，该地区该部门燃料消耗中温室气体排放为ＣＯ２：８８７３７Ｇｇ，ＣＨ４：０．８４９８Ｇｇ，Ｎ２Ｏ：５．８２４Ｇｇ。针对能源及转化业部门的具体情况提出了相应的减排措施。     

Greenhouse gas emissions,life-cycle inventory and cost-efficiency of using laminated wood instead of steel construction.: Case: beams at Gardermoen airport

This article compares the use of glulam beams at the new airport outside Oslo with an alternative solution in steel in order to (1) make an inventory of greenhouse gas (GHG) emissions and energy use over the life cycle of glulam and of steel, (2) calculate the avoided GHG emissions and the cost of the substitution, and (3) analyse which factors have the strongest influence on the results. Compared to previous analyses of substitution between steel and glulam related to greenhouse gas emissions, this article brings in three new methodological elements: combining traditional life-cycle analysis with economic costs, considering explicitly the emissions’ points in time, and using discounted global warming potential (DGWP).The total energy consumption in manufacturing of steel beams is two to three times higher and the use of fossil fuel 6–12 times higher than in the manufacturing of glulam beams. Manufacturing of steel in the most likely scenario gives five times higher GHG emissions compared to manufacturing of glulam beams. Waste handling of glulam can either be very favourable or unfavourable compared to steel depending on the glulam being landfilled or used for energy production. Other assumptions that substantially affect the results over the life cycle are carbon fixation on the forest land that is regenerated after harvesting, whether the steel production is scrap-based or ore-based, and which energy sources are used for producing the electricity used by the steel industry. The uncertainty in the inventory data for glulam do not influence the results much compared to changes in these main assumptions. The glulam construction cannot be more than 1–6% more expensive than steel before the price per ton avoided greenhouse gas emissions becomes high compared to the present Norwegian CO₂-tax on gasoline. In the most likely scenario, and not including carbon fixation on forest land, 0.24–0.31 tons of CO₂-equivalents per cubic metre input of sawn wood in glulam production is avoided by using glulam instead of steel, whereas this figure increases to 0.40–0.97 t/m³ if carbon fixation on forest land is included. Using DGWP does not influence the results of the analysis significantly.     

A Greenhouse Gas Balance of two Existing International Biomass Import Chains

Various utility companies are considering or already initiated the import of biomass from abroad for electricity generation, especially via co-firing in coal-fired power plants. This results in international logistic biomass supply chains, which raise questions on the environmental performance of such chains. In this study, a life cycle inventory has been performed on two existing biomass import chains to evaluate the greenhouse gas balance of biomass import for co-firing. We considered production, transport and co-firing of wood pellets from Canada and palm kernel shells from Malaysia in a 600 MW _e coal-fired power plant in the Netherlands. Those chains are compared with various reference systems for energy production and the alternative use of biomass. Primary energy savings of these import and co-firing chains are between 70% and 100% of the biomass energy content. Net avoided greenhouse gas emissions are in the range of 340–2100 g/kWh. In the most optimistic scenario, pellet co-firing avoids methane emissions that would have occurred if the pellets were decomposed at landfills when not applied for energy production. In the most pessimistic scenario, palm kernel shell co-firing competes with the application as resource for animal feed production, which requires production and transport of an alternative resource. As the energy reference systems of the importing and exporting country and the alternative application of biomass have a significant impact on the net avoided greenhouse gas emissions, these factors should be considered explicitly when studying biomass trade for energy purposes.     

基于STIRPAT模型天津减污降碳协同效应多维度分析

基于STIRPAT模型,从排放总量、减排量和协同效应系数这3个维度定量分析了天津市减污降碳协同效应.结果表明,天津市大气污染物和温室气体的主要排放源均为工业源,大气污染物和温室气体的Pearson相关系数为0.984;人口总数、城镇化率、地区生产总值、能源强度和二氧化碳排放强度是影响天津市减污降碳协同效应的重要因素;天津市2011年和2012年大气污染物和温室气体协同增排,协同效应系数分别为0.18和0.17;2013~2014年和2018~2023年大气污染物减排且温室气体增排,协同效应系数均小于0,减污降碳不具有协同效应;2015~2017年和2024~2060年大气污染物和温室气体同时减排,协同效应系数范围为2.74~8.76.天津市具备在2024年进入减污降碳协同增效阶段的条件,天津市推动减污降碳协同增效最关键的是严格控制温室气体排放总量,持续推动能源强度和二氧化碳排放强度的下降,合理控制人口总数、城镇化率和地区生产总值.     

Cost-Effectiveness of Alternative Strategies in Mitigating the Greenhouse Impact of Waste Management in Three Communities of Different Size

Waste management is a significant source of methane (CH₄) emissions. CH₄ is second to carbon dioxide (CO₂) the most important anthropogenic greenhouse gas. In this article the methodology and results from a study on the reduction potential of alternative waste treatment strategies in mitigating the greenhouse impact are presented. The objective is to provide information to decision makers so that the greenhouse issue can be included in the decision making on waste management strategies. The potential cost-effectiveness of reducing the greenhouse impact of alternative waste treatment strategies in three communities of different size in Finland is assessed. The estimation of the greenhouse impact includes estimates of the greenhouse gas (GHG) emissions, the amount of carbon (C) stored at landfills (Csink) and the emission savings that can be achieved by using waste for energy production (assumed decrease in the use of fossil fuels). Landfill gas recovery with energy production was found to be the most-efficient way in reducing the greenhouse impact from large landfills. Burning of all the waste or the combustible fraction in municipal solid waste (MSW) was also an efficient method to reduce greenhouse gas emissions, especially if the energy produced can reduce the burning of fossil fuels. Emissions from transportation of waste are small compared with the emissions from landfills. Even if the transportion mileage is doubled due to increasing separation and recycling the greenhouse impact of transportation would be only 3–4 percent of the impact of landfilling the waste.     

Hydrogen and transportation: alternative scenarios

If hydrogen (H₂) is to significantly reduce greenhouse gas emissions and oil use, it needs to displace conventional transport fuels and be produced in ways that do not generate significant greenhouse gas emissions. This paper analyses alternative ways H₂ can be produced, transported and used to achieve these goals. Several H₂ scenarios are developed and compared to each other. In addition, other technology options to achieve these goals are analyzed. A full fuel cycle analysis is used to compare the energy use and carbon (C) emissions of different fuel and vehicle strategies. Fuel and vehicle costs are presented as well as cost-effectiveness estimates. Lowest hydrogen fuel costs are achieved using fossil fuels with carbon capture and storage. The fuel supply cost for a H₂ fuel cell car would be close to those for an advanced gasoline car, once a large-scale supply system has been established. Biomass, wind, nuclear and solar sources are estimated to be considerably more expensive. However fuel cells cost much more than combustion engines. When vehicle costs are considered, climate policy incentives are probably insufficient to achieve a switch to H₂. The carbon dioxide (CO₂) mitigation cost would amount to several hundred US$ per ton of CO₂. Energy security goals and the eventual need to stabilize greenhouse gas concentrations could be sufficient. Nonetheless, substantial development of related technologies, such as C capture and storage will be needed. Significant H₂ use will also require substantial market intervention during a transition period when there are too few vehicles to motivate widely available H₂ refueling.

中国核电能源链的生命周期温室气体排放研究

应用全能源链分析(PCA)和生命周期分析(LCA)方法,采用第一手调查数据和一些新的参数,对我国核电能源链的生命周期温室气体排放进行评价计算.结果表明,现阶段我国核电能源链(包括核燃料循环前段、核电站)的实际温室气体排放量为6.2g CO2,eq/(k W·h),若考虑核燃料循环后段(乏燃料后处理与废物处置)则总的温室气体排放量为11.9g CO2,eq/(k W·h).核电是低碳能源,发展核电代替一定规模的煤电提供一次能源,每1k W·h电力生产能够减排大约1kg二氧化碳.推进核电产业链的技术升级和持续节能降耗,鼓励材料再循环再利用,核电能源链的温室气体排放仍有进一步降低的空间.     

Does the Swedish consumer's choice of food influence greenhouse gas emissions?

Consumer's choice of food can influence the environment. In Sweden, in common with many other countries, consumers need to be given information so they can make environmentally informed shopping choices. However, what is the most advantageous dietary choice to lower greenhouse emissions? This study investigates the greenhouse gas emissions associated with food production for food consumed in Sweden annually. Specifically, this study compares greenhouse gas emissions associated with a nutritionally and environmentally sustainable diet with the average consumption of food in Sweden 1999. The study concludes that the change in energy use and greenhouse gas emission associated with this change of diet is negligible. Lowering greenhouse gas emissions by changing food production processes results in more profound changes than teaching consumers to make environmentally correct choices. There is a basic need for a reduction or a replacement of the use of fossil fuels to produce and distribute our food in order to reach any significant reduction in the emission of greenhouse gases. Swedish agricultural policy does not provide ways to reduce greenhouse gas emissions. In Sweden therefore there is an immediate need to design policy instruments with the primary aim of reducing the greenhouse effect.     

气体燃料发动机发展对中国温室气体减排贡献的生命周期分析

为分析气体燃料发动机的温室气体减排能力,应用生命周期分析方法计算了不同燃料的生命周期温室气体排放量,并据此计算了不同发动机的温室气体排放量.建立了气体燃料发动机“最大限度发展”和“不发展”两种情形.据此预测了2020年中国气体燃料发动机的温室气体减排效果,估算了2020年气体燃料发动机的耗气量占气体供应量的比重.结果显示,在最大限度发展情形下,气体燃料发动机将分别为城市公共交通、船舶动力和火力发电领域减少约7.47, 18.25, 450.1Mt CO2e的温室气体,减排量占全国减排目标的5.3%.气体燃料发动机将分别消耗15%的天然气、18.5%的煤层气和50%的垃圾填埋气供应量.考虑我国气体燃料资源结构情况及供应形势,推广气体燃料发动机是切实可行的.     

玉米燃料乙醇生命周期碳平衡分析

玉米燃料乙醇作为化石燃料的替代品,其温室气体排放的多少(净碳排放量)是评价其可持续性的一个重要标准.基于生命周期分析原理,建立了玉米燃料乙醇的碳平衡分析方法.以我国夏玉米燃料乙醇的生产为例,计算了玉米燃料乙醇生命周期的净碳排放量并对其影响因素进行了分析.研究表明:与汽油相比,目前我国夏玉米燃料乙醇的生产并不能明显减少温室气体的排放,为此玉米生产过程中氮肥施用和灌溉以及乙醇转化过程的能耗等方面有待于重点改善.     

江苏省温室气体排放清单基础研究

随着气候问题日益严峻,温室气体排放清单编制已经成为温室气体研究的一项重要的基础工作。本文概述了中国温室气体清单编制的发展情况,并重点介绍了江苏省能源部门温室气体排放清单编制基础工作,包括江苏省温室气体排放清单编制计算方法和步骤,江苏省温室气体排放清单及数据来源等。江苏省能源部门温室气体清单编制主要统计二氧化碳、甲烷、氧化亚氮三种最主要的温室气体,将为国家及其他省份相关研究提供参考。