石油与天然气生产过程甲烷逃逸排放检测与核算研究现状及建议

甲烷作为油气生产中的主要气态污染物和增温潜势较强的一类温室气体,其逃逸排放检测与核算是中国油气行业温室气体控制与减排过程中的首要问题。通过比较国内外油气行业逃逸甲烷排放核算方法,以及总结当前国内外油气田现场开展的甲烷排放检测研究,对油气行业企业级温室气体清单编制提出了建议。在甲烷逃逸排放核算方面,由于生产过程、工艺等出现的变化,建议加快建立符合我国油气生产实际情况的排放因子,纳入放空气燃烧的周期变化、绿色完井措施使用、陆上/海上油气生产等内容,鼓励油气生产企业通过设备组件统计、现场实测等方式进行排放因子更新。针对逃逸甲烷现场检测数据不足,影响核算结果对比的现状,在开展油气生产过程现场检测时,建议自下而上与自上而下检测方法相结合,保证检测结果的可验证性、可重复性,并谨慎看待针对部分油气生产区块的检测结果进行大尺度区域甲烷逃逸排放量的推算结果。     

水泥熟料生产企业CO2直接排放核算模型的建立

为快速掌握区域内全部水泥企业的碳排放情况,在部分企业实际生产数据未知时,也能建立其生产碳排放清单,文中基于熟料生产特征,构建了可根据设备设计产能和运行时长两种参数来核算企业CO₂排放的数值模型。以京津冀地区59条典型水泥熟料生产线的生产数据作为统计样本,借助Eviews对生产线的实际产能、熟料烧成煤耗与设计产能间的关系进行回归分析,并引入了生产时间修正系数,完成了CO₂核算模型的建立。将其应用到京津冀地区全部106条水泥熟料生产线中,得出 2018年度京津冀地区水泥熟料总产量,该核算值与数字水泥网发布的统计数据之间的相对误差均值为7.81%。通过核算,CO₂直接排放系数为0.93 t CO₂/t熟料,与国内均值相差7.27%。构建的核算模型与实际生产契合良好,更重要的是可以通过此数值模型自下而上建立区域内全部企业的CO₂排放清单,实现较高时空精度的清单网格化,并可与现有卫星遥感探测、移动监测设备所得的数据形成比对,使水泥行业的碳监测和减排政策的制定更具针对性。     

基于观测的污染气体区域排放特征

利用2006年9月—2007年8月河北省固城生态与农业气象试验基地 (固城站) 反应性气体观测数据获得了CO与NO_x,CO与SO₂,SO₂与NO_x体积分数比的变化特征,并将观测得到的体积分数比与从INTEX-B等排放源资料得到的排放比进行比较研究。当风向来自北方向 (北京) 时,固城站的CO和NO_x体积分数显著高于其他方向,而来自南方向 (保定、石家庄) 时,SO₂体积分数显著高于其他方向。固城站观测到的CO与SO₂,CO与NO_x体积分数比分别为43.7和31.6,较排放比高出2~12倍。分析表明:排放源清单对CO排放低估了大约2倍以上,生物质燃料燃烧,尤其是收获季节大规模秸秆燃烧排放可能是重要的且被低估了的源。从观测数据估计得到秸秆燃烧期比平时CO大约多排放了90%±30%,忽略秸秆燃烧期额外排放对CO排放强度估计有重要影响。未来排放源清单编制和使用需要更加关注我国农业区秸秆燃烧排放对排放强度的影响。     

中国二氧化碳排放源现状分析

通过对20世纪90年代中国几个主要温室气体研究项目中关于二氧化碳(CO2)排放源研究结果的综合分析,结合最新资料,对1990年的中国CO2排放源进行了收集和完善,对1994年中国CO2排放源重新做了计算.其中,工业生产过程的CO2排放,在以前的研究中仅仅计算了水泥一项,本研究中我们增加了石灰、钢铁、电解铝三项,力求使结果更接近实际情况.结果表明,1990年和1994年中国CO2矿物燃料燃烧和工业过程总排放分别为2218.9×106t(合605.1×106t碳)和2787.8×106t(合760.3×106t碳),分别占当年全球CO2总排放的10.2%和12.7%.能源和工业生产活动的CO2排放均有不同程度的增长.矿物燃料燃烧是中国CO2的最大排放源,占总排放的90%以上.对CO2排放源的不确定性分析表明,中国CO2排放存在大于10%的减排潜力.     

武汉市大气污染源排放清单及分布特征研究

以武汉市为研究区域,基于实地调查获得典型行业污染源活动水平,以大气污染物排放清单编制技术指南为参考,利用排放因子法建立2014年武汉市大气污染源排放清单,并结合经纬度、人口密度分布、土地利用类型、道路长度等数据将排放清单进行了3 km×3 km网格化处理.结果表明,2014年武汉市SO₂、NO_x、PM₁₀、PM_2.5、CO、BC、OC、VOCs和NH₃排放量分别为10.3、17.0、16.3、7.1、63.1、0.6、0.4、19.8和1.6万t.固定燃烧源为SO₂排放的主要来源,其贡献率约64%;移动源为NO_x的主要来源,其贡献率约51%;颗粒物排放主要来源于扬尘源和工艺过程源;CO和VOCs主要来源于工艺过程源,BC和OC排放均以移动源和生物质燃烧源为主,NH₃排放主要来自农业源.污染物排放主要集中在青山区至新洲区一带.     

中国应对气候变化谈判的几点思考

通过中国和欧盟内部可以增加排放的中等发达国家在人均能源消费、人均CO2排放和人均GDP以及人文发展指标的对比,可以看出中国远低于欧盟5个中等发达国家的水平。因此,中国提出在达到中等发达国家水平之后承担减排义务是有根据的,中国要求获得与自身经济社会发展相适应的温室气体排放空间,以满足国民基本生存和发展的需要是合理的。中国在达到中等发达国家之前,可以考虑承诺在一定时期内保持CO2排放强度不增加。     

电力行业温室气体排放核算方法体系研究

调研了主要发达国家的温室气体清单编制方法和国内相关经验,结合我国电力行业特点和温室气体清单编制目标、尺度、方法等,提出以IPCC推荐的详细技术为基础的第二类(T2)方法为主,更精确的第三类(T3)方法为辅的我国电力行业温室气体清单编制方法的基本原则;借鉴国外温室气体排放核算的优良做法,结合我国电力行业实际情况,对我国电力行业温室气体清单编制进行实体分类和分析,根据清单编制的范围、定义和数据可得性等建立符合我国国情的电力行业温室气体清单编制方法体系框架。     

国家温室气体清单时间序列一致性和2005年清单重算研究

《巴黎协定》透明度后续实施细则对发展中国家温室气体清单时间序列一致性方面的要求显著增强。文中基于IPCC清单指南中对温室气体清单重算的要求,对作为我国国家自主贡献基年的2005年温室气体清单进行重算。由于增加了新的排放源或吸收汇、更新部分活动水平或排放因子数据以及采用了更新的方法学,重算后的2005年国家温室气体清单排放量（以CO₂当量计,下同）为80.15亿t（不包括土地利用、土地利用变化和林业,即LULUCF),相比重算前增加了6.6%。能源领域对重算后总排放量上升影响最大,增加了4.26亿t,其中CO₂增长主要来自第三次全国经济普查（三经普）对2005年化石燃料消费量的修订,甲烷（CH₄）和氧化亚氮（N₂O）排放上升主要原因是新增加了排放源。未来我国将更频繁地对以往清单年份开展重算,建议结合《巴黎协定》实施细则要求加强对我国温室气体清单时间序列一致性问题的研究,以更好地支撑国内应对气候变化决策分析,以及满足未来《巴黎协定》下的履约要求。     

澳大利亚能源活动温室气体排放清单编制经验及对我国的借鉴意义

通过对澳大利亚能源活动温室气体排放清单编制的分析,介绍了澳大利亚清单编制的研究框架、组织管理形式,在此基础上提出了健全我国清单编制管理机构、建立稳定畅通的数据来源渠道、逐步开展企业联网直报等建议。这些工作将有助于促使我国清单编制工作逐步常规化和标准化,及时为政策研究和决策制定提供基础数据并积极应对可能面临着递交频率增加和接受国际磋商和分析的挑战。     

中国制定企业温室气体核算指南的对策建议

在总结国内外企业层面温室气体核算指南的现状和发展趋势的基础上,指出了确定正确的核算边界、选取合适的排放核算范围以及选择准确的排放活动水平和排放因子数据,是中国编制企业温室气体核算指南面临的关键问题,并提出了完善中国企业层面温室气体核算体系的对策建议：一是完善中国企业温室气体排放管理的相关制度安排;二是现阶段选择企业作为核算边界,建立并完善重点企业和设施的温室气体直报系统;三是将外购电力和热力消费引起的间接排放也纳入核算体系中,并根据行业具体情况及未来发展趋势确定所包括的温室气体种类;四是完善数据计量及收集工作,加强统计工作能力建设;五是统一排放因子的选择规则,逐步建立中国的排放因子数据库;六是建议设定企业温室气体报告门槛。     

2000—2019年江西省能源消费碳排放变化及其影响因素

基于能源消耗数据,采用IPCC碳核算方法和LMDI分解模型,探讨了2000—2019年江西省一次能源消费碳排放的变化及其主要影响因素,并通过Tapio脱钩模型进一步分析了经济增长与能源碳排放脱钩特征。结果表明： 1） 一次能源碳排放量整体呈上升趋势,碳排放强度总体呈下降趋势,其中2015年以后碳排放量年均增长速度放缓、碳排放强度下降速度加快。2） 对碳排放量增加起促进作用的因素为人口效应、经济产出效应和能源结构效应,其中经济产出效应的作用最为显著;起抑制作用的要素为能源强度效应,能源替代效应不明显。与2000—2015年仅能源强度效应使碳排放量下降的情况不同,2015—2019年能源强度效应、能源替代效应和能源结构效应均使碳排放量下降,其中能源强度效应贡献率比2000—2015年高3倍。3） 经济增长与能源消费碳排放量以弱脱钩为主,其中2016—2019年脱钩弹性呈逐渐减小趋势。     

Introducing top-down methods in assessing compliance with the Kyoto Protocol

Abstract

The Kyoto Protocol has an ambitious reporting and review system to assess Parties' compliance with their emission commitments. It is based on a ‘bottom-up’ approach; that is, each Party is required to submit detailed inventories of emissions and removals. This requires considerable resources and may still not detect all important cases of non-compliance. We consider the case for introducing ‘top-down’ methods; that is, independent inverse modelling methods that calculate probable emissions using measured concentrations of gases in the atmosphere and meteorological models. We argue that the top-down methods are at present too inaccurate, too cumbersome, and politically too problematic to serve as independent alternatives to the reported emission inventories for assessing compliance, although they could be useful in monitoring the global success of the protocol. We conclude that these top-down approaches may supplement the traditional emission inventories, in particular those dealing with fluorinated gases, thereby providing input for improving the emission inventory methods.     

Verifying Inventory Predictions of Animal Methane Emissions with Meteorological Measurements

The paper examines the strengths and weaknesses of a rangeof meteorological flux measurement techniques that mightbe used to verify predictions of greenhouse gas inventories.Recent research into emissions of methane (CH₄)produced by enteric fermentation in grazing cattle and sheepis used to illustrate various methodologies. Quantifying thisimportant source presents special difficulties because the animalsconstitute moving, heterogeneously distributed, intermittent, pointsources. There are two general approaches: one, from the bottom up,involves direct measurements of emissions from a known number ofanimals, and the other, from the top down, infers areal emissions ofCH₄ from its atmospheric signature. A mass-balance methodproved successful for bottom-up verification. It permits undisturbedgrazing, has a simple theoretical basis and is appropriate for fluxmeasurements on small plots and where there are scattered pointsources. The top-down methodologies include conventional flux-gradientapproaches and convective and nocturnal boundary-layer (CBL and NBL)budgeting schemes. Particular attention is given to CBL budget methods inboth differential and integral form. All top-down methodologies require ideal weather conditions for their application, and they suffer from the scattered nature of the source, varying wind directions and low instrument resolution. As for mass-balance, flux-gradient micrometeorological measurements were in good agreement with inventory predictions of CH₄ production by livestock, but the standard errors associated with both methods were too large to permit detection of changes of a few per cent in emission rate, which might be important for inventory, regulatory or research purposes. Fluxes calculated by CBL and NBL methods were of the same order of magnitude as inventory predictions, but more improvement is needed before their use can be endorsed. Opportunities for improving the precision of both bottom-up and top-down methodologies are discussed.     

全球2℃温升碳约束下中国煤电搁浅资产研究

作为全球煤电装机规模最大且仍在扩张的国家,中国需要慎重评估兑现《巴黎协定》温室气体减排承诺带来的潜在煤电资产搁浅问题。研究运用“上下交互”的碳锁定曲线模型,识别不同产能扩张情景下（无新增、新增200、300和400 GW）的搁浅煤电机组。首先,从“自上而下”角度匡算中国煤电行业2℃温升目标下的碳配额。然后,从“自下而上”角度,根据高精度的燃煤电站信息核算煤电累积CO₂排放量。最后基于“上下交互”模式筛选出搁浅燃煤电站,在此基础上运用现金流量法估算其潜在的搁浅价值,并对其关键因素进行敏感性分析。结果表明,在无新增情景下,煤电搁浅资产规模约为0.38万亿元;若继续增加200~400 GW煤电装机,则搁浅价值将较无新增情景增加3.7~8.2倍。因此,建议“十四五”期间应树立煤电规模峰值意识,严控煤电新增产能,避免错过最佳减排时机。     

城市化、产业结构、能源消费、经济增长与碳排放的关联性分析——基于中国省际收入水平异质性的实证研究

在全国推崇节能减排,寻求低碳经济发展的大环境下,探究不同收入水平下各影响因子与碳排放的关联性有助于区域异质性碳减排政策的制定。根据2002—2016年的经济发展水平数据,将中国30个省及直辖市（不包含西藏及港、澳、台地区）划分为4个不同收入水平,分别建立面板向量自回归（PVAR）模型,并运用面板格兰杰因果检验、脉冲响应和方差分解探究城市化、产业结构、能源消费、经济增长与碳排放之间的关联性。研究结果表明,处于不同收入水平下的省份各影响因子与碳排放之间的关系存在异质性。收入水平较高的省份当前城市化水平已产生显著的减排效应,而欠发达地区仍处于城市化进程加速碳排放阶段;4个收入水平下能源消费均会长期影响碳排放,但欠发达地区更加需要摆脱能源依赖的经济发展路径,并且提高能源利用率从而降低碳排放;非高收入水平省份产业结构对碳排放造成的影响明显高于高收入水平省份。此外,实证结果表明,中国仍处于碳排放与经济发展的同步增长阶段,减排政策将会对经济增长产生负向反馈,故现有减排路径的选择需要高度审慎的设计与实施。     

基于多区域投入产出模型中美贸易隐含能源、碳排放的测算

采用多区域投入产出模型（MRIO）,利用欧盟资助开发的世界投入产出表和环境账户数据,测算了1995—2009年中国与美国的增加值贸易规模及净值,在此基础上利用环境账户中的能源消耗和碳排放数据测算出中美外贸隐含能源和隐含碳排放总体水平及其行业结构。研究表明：1995—2009年,中国对美国的增加值出口保持持续增长的态势,尤其是在中国加入世界贸易组织（WTO）后,但随后受2008年全球经济危机的影响,中国增加值出口规模有所减小;相比于美国,中国单位增加值能耗和碳排放水平较高,从而导致较大规模的隐含能源和隐含碳出口,长期处于隐含能源和隐含碳净输出国地位,且净输出规模呈现出上升的趋势;从行业结构来看,电力、燃气及水的供应业等能源行业是中国出口隐含能源和隐含碳排放的主要行业来源。     

Regional spatial inventories (cadastres) of GHG emissions in the Energy sector: Accounting for uncertainty

An improvement of methods for the inventory of greenhouse gas (GHG) emissions is necessary to ensure effective control of commitments to emission reduction. The national inventory reports play an important role, but do not reflect specifics of regional processes of GHG emission and absorption for large-area countries. In this article, a GIS approach for the spatial inventory of GHG emissions in the energy sector, based on IPCC guidelines, official statistics on fuel consumption, and digital maps of the region under investigation, is presented. We include mathematical background for the spatial emission inventory of point, line and area sources, caused by fossil-fuel use for power and heat production, the residential sector, industrial and agricultural sectors, and transport. Methods for the spatial estimation of emissions from stationary and mobile sources, taking into account the specifics of fuel used and technological processes, are described. Using the developed GIS technology, the territorial distribution of GHG emissions, at the level of elementary grid cells 2 km?×?2 km for the territory of Western Ukraine, is obtained. Results of the spatial analysis are presented in the form of a geo-referenced database of emissions, and visualized as layers of digital maps. Uncertainty of inventory results is calculated using the Monte Carlo approach, and the sensitivity analysis results are described. The results achieved demonstrated that the relative uncertainties of emission estimates, for CO₂ and for total emissions (in CO₂ equivalent), depend largely on uncertainty in the statistical data and on uncertainty in fuels’ calorific values. The uncertainty of total emissions stays almost constant with the change of uncertainty of N₂O emission coefficients, and correlates strongly with an improvement in knowledge about CH₄ emission processes. The presented approach provides an opportunity to create a spatial cadastre of emissions, and to use this additional knowledge for the analysis and reduction of uncertainty. It enables us to identify territories with the highest emissions, and estimate an influence of uncertainty of the large emission sources on the uncertainty of total emissions. Ascribing emissions to the places where they actually occur helps to improve the inventory process and to reduce the overall uncertainty.     

中国大陆黑碳气溶胶排放清单

The detailed high-resolution emission inventory of black carbon (BC) from China in the year 2000 was calculated. The latest fuel consumption data including fossil and biomass fuels, and socio-economic statistics used were obtained from government agencies, mostly at the county level, and some new emission factors (Efs) from local measurements were also used. National and regional summaries of emissions were presented at 0.2°×0.2°resolution. Total BC emission was 1499.4 Gg in 2000, mainly due to the burning of coal and biomass. The BC emission estimated here is higher than those in previous studies, mainly because the emissions from coal burning by rural industries and residences were previously underestimated. More BC aerosols were emitted from eastern China than western China. A strong seasonal dependence was observed for BC emissions, with peaks in January and December and low emissions in July and August; and this seasonality is mainly due to patterns in residential heating and the open burning of crop residues.     

Terrestrial full carbon account for Russia: revised uncertainty estimates and their role in a bottom-up/top-down accounting exercise

Our research addresses the need to close the gap between bottom-up and top-down accounting of net atmospheric carbon dioxide (CO₂) emissions. Russia is sufficiently large to be resolved in a bottom-up/top-down accounting exercise, as well as being a signatory state of the Kyoto Protocol. We resolve Russia’s atmospheric CO₂ balance (1988–1992) in terms of four major land-use/cover units and eight bioclimatic zones. On the basis of our results we conclude that the Intergovernmental Panel on Climate Change (IPCC) must revise its carbon balance for northern Asia. We find a less optimistic, although more realistic, bottom-up versus top-down match for northern Asia than the IPCC authors. Nonetheless, in spite of the larger uncertainties involved, our research shows that (1) there is indeed an added value in linking bottom-up and top-down carbon accounting because our dual-constrained regional carbon balance is incomparably more rigorous; and that (2) the need persists for more atmospheric measurements, including atmospheric inversion experiments, over Russia.