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。     

未来联合国气候变化谈判的核心内容及前景展望——“巴厘路线图”解读

详细介绍了《联合国气候变化框架公约》缔约方会议第13次会议通过的"巴厘路线图"的具体内容。"巴厘路线图"规划了未来两年将要谈判的重要议题,包括发达国家在2012年后减排温室气体义务;发展中国家未来温室气体减排行动;适应气候变化;发达国家未来向发展中国家提供技术转让、资金支持和能力建设等。这些议题谈判的成败,将对未来保护气候的国际努力、对未来全球的气候环境产生决定性影响,从而对谈判前景做了分析     

未来联合国气候变化谈判的核心内容及前景展望——“巴厘路线图”解读

 详细介绍了《联合国气候变化框架公约》缔约方会议第13次会议通过的"巴厘路线图"的具体内容。"巴厘路线图"规划了未来两年将要谈判的重要议题,包括发达国家在2012年后减排温室气体义务;发展中国家未来温室气体减排行动;适应气候变化;发达国家未来向发展中国家提供技术转让、资金支持和能力建设等。这些议题谈判的成败,将对未来保护气候的国际努力、对未来全球的气候环境产生决定性影响,从而对谈判前景做了分析     

美国加州温室气体清单编制经验及其启示

分析阐述了美国加州温室气体清单编制历程、清单边界界定原则、清单采用的方法、活动水平和排放因子数据来源、清单报告格式和最新的强制性温室气体报告制度。结合中国省级温室气体清单编制现状,提出了尽早确定电力转移排放归属地、改善统计数据基础、做好我国国民经济行业分类与IPCC部门分类对应工作、研究重点排放源温室气体报告制度等方面的建议。     

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。     

中国省级土地利用变化和林业温室气体清单编制方法

省级土地利用变化和林业（LUCF）温室气体清单主要评估“森林和其他木质生物质生物量碳储量的变化”和“森林转化温室气体排放”两类主要温室气体的排放源或吸收汇。省级LUCF温室气体清单编制方法以政府间气候变化专门委员会（IPCC）有关国家温室气体清单指南为基础,结合中国LUCF活动的实际情况,特别是在考虑核心关键数据的可获得性与可靠性的基础上制订完成。同时还建立了适用于不同省的关键排放因子和参数数据库,旨在为科学合理地编制中国省级LUCF温室气体清单提供方法学依据。     

附件一国家温室气体排放趋势及其履约进展

 对《联合国气候变化框架公约》秘书处最新公布的温室气体排放数据进行统计分析,结果显示：相对于基准年（1990年）,附件一国家温室气体排放总量整体呈下降趋势。其中,经济转型期国家温室气体排放总量总体上呈逐年下降趋势,非经济转型期国家的温室气体排放总量有逐年增长的趋势。美国和加拿大能源部门的温室气体排放量增长最为显著,相对于1990年,2005年其增幅分别为19.2%和28.6%;英国和德国能源部门温室气体减排量最为显著,其减幅分别为7.8%和17.4%。在2005年,有超过一半的附件一国家的实际排放量低于其目标排放量,履约进展状况良好。     

附件一国家温室气体排放趋势及其履约进展

对《联合国气候变化框架公约》秘书处最新公布的温室气体排放数据进行统计分析,结果显示：相对于基准年（1990年）,附件一国家温室气体排放总量整体呈下降趋势。其中,经济转型期国家温室气体排放总量总体上呈逐年下降趋势,非经济转型期国家的温室气体排放总量有逐年增长的趋势。美国和加拿大能源部门的温室气体排放量增长最为显著,相对于1990年,2005年其增幅分别为19.2%和28.6%;英国和德国能源部门温室气体减排量最为显著,其减幅分别为7.8%和17.4%。在2005年,有超过一半的附件一国家的实际排放量低于其目标排放量,履约进展状况良好。     

附件一国家温窒气体排放趋势及其履约进展

对<联合国气候变化框架公约>秘书处最新公布的温室气体排放数据进行统计分析,结果显示:相对于基准年(1990年),附件-国家温室气体排放总量整体呈下降趋势.其中,经济转型期国家温室气体排放总量总体上呈逐年下降趋势,非经济转型期国家的温室气体排放总量有逐年增长的趋势.美国和加拿大能源部门的温室气体排放量增长最为显著,相对于1990年,2005年其增幅分别为19.2%和28.6%;英国和德国能源部门温室气体减排量最为显著,其减幅分别为7.8%和17.4%.在2005年,有超过一半的附件-国家的实际排放量低于其目标排放量,履约进展状况良好.     

参加“IPCC温室气体排放因子数据库编委会第7次会议”和“第3次关于农田、草地土壤碳的数据收集专家会议”总结

1 IPCC温室气体排放因子数据库编委会第7次会议 IPCC温室气体排放因子数据库（EFDB：Greenhouse Gas Emission Factor Database）作为世界范围内的温室气体清单编制的免费资源,伴随着《IPCC温室气体清单指南》,供编制者在编制清单时使用。     

Assessing progress in MRV capacity development: experience with a scorecard approach

This article reports experiences gathered in 12 developing countries in Latin America and Africa with capacity development for national GHG inventory systems. The national systems and their ability to deliver on measurement, reporting and verification (MRV) requirements is assessed using a scorecard that covers the transparency, accuracy, completeness, consistency, and comparability of the GHG inventory as well as its institutional set-up and management aspects. The analysis shows that a quantitative assessment of GHG inventory systems with a scorecard is feasible and useful, and could commonly be used for tracking progress in MRV capacity development.

Policy relevance

A large number of capacity development initiatives are underway to advance national GHG inventory systems in developing countries, particularly in the land-use sector. These aim to promote the reliable MRV of GHG emissions and removals, which is expected to underpin developing countries’ contributions to global mitigation efforts, including through results-based payments. Although MRV is a cornerstone of climate change policy and despite widespread capacity gaps, there is little conclusive evidence about the effectiveness of such capacity development. This article relates the positive experience from one initiative, the Capacity Development for REDD+ project, which employed a novel, scorecard-based approach to results monitoring. Considerable progress is observed and provides reassurance regarding the soundness of development agencies’ significant investments in MRV. Disaggregating scores by countries and by underlying criteria also provides insights to prioritize further investments.     

Benefits of dealing with uncertainty in greenhouse gas inventories: introduction

The assessment of greenhouse gases emitted to and removed from the atmosphere is high on the international political and scientific agendas. Growing international concern and cooperation regarding the climate change problem have increased the need for policy-oriented solutions to the issue of uncertainty in, and related to, inventories of greenhouse gas (GHG) emissions. The approaches to addressing uncertainty discussed in this Special Issue reflect attempts to improve national inventories, not only for their own sake but also from a wider, systems analytical perspective—a perspective that seeks to strengthen the usefulness of national inventories under a compliance and/or global monitoring and reporting framework. These approaches demonstrate the benefits of including inventory uncertainty in policy analyses. The authors of the contributed papers show that considering uncertainty helps avoid situations that can, for example, create a false sense of certainty or lead to invalid views of subsystems. This may eventually prevent related errors from showing up in analyses. However, considering uncertainty does not come for free. Proper treatment of uncertainty is costly and demanding because it forces us to make the step from “simple to complex” and only then to discuss potential simplifications. Finally, comprehensive treatment of uncertainty does not offer policymakers quick and easy solutions. The authors of the papers in this Special Issue do, however, agree that uncertainty analysis must be a key component of national GHG inventory analysis. Uncertainty analysis helps to provide a greater understanding and better science helps us to reduce and deal with uncertainty. By recognizing the importance of identifying and quantifying uncertainties, great strides can be made in ongoing discussions regarding GHG inventories and accounting for climate change. The 17 papers in this Special Issue deal with many aspects of analyzing and dealing with uncertainty in emissions estimates.     

Comparing developing countries under potential carbon allocation schemes

To stabilise atmospheric greenhouse gas concentrations, all countries will eventually need to be included in the effort to limit climate change. This article explores what potential future greenhouse gas allocation schemes might mean for key developing countries. The need for development is widely acknowledged, but growth in non-Annex I country emissions means that such development may need to take a different path to business as usual. The national interests of developing countries in negotiating potential future commitments are shaped by basic characteristics, notably emissions (both annual and historical cumulative), economic growth and population. These factors in turn shape the acceptability of allocations based on ability to pay, emissions intensity, or emissions per capita.Results for six major developing countries (China, India, Brazil, South Africa, Argentina and Nigeria) show that the implications for developing countries differ widely. For example, ability to pay does not favour Argentina; a reduction based on emissions intensity is not appropriate for Brazil; and per capita allocations would be problematic for South Africa. It is difficult to conceive of a single allocation scheme that would be appropriate for all developing countries. This points to the need for differentiation between developing countries in terms of any potential future commitments.     

International greenhouse gas inventory systems: A comparison between CORINAIR and IPCC methodologies in the EU

There are several different approaches currently taken by the 15 EU countries in compiling their IPCC inventories for the FCCC. Six countries (France, Ireland, Italy, Luxembourg, Portugal, Spain) use the CORINAIR system and then aggregate and reformat the data into the required IPCC format. Of the remaining countries, two strictly follow the IPCC methodology (Finland and Greece), five (Denmark, Germany, Netherlands, Sweden, United Kingdom) estimate emissions using a combination of national and IPCC methodologies, while the final two (Austria and Belgium) use a combination of national and CORINAIR methodologies (transformed to IPCC). Comparison of the national inventories in both the IPCC and CORINAIR formats shos some revealing discrepancies between the two systems at both sector and gas level that by chance cancel out when aggregated at the EU level.     

Comparison of preparatory signal analysis techniques for consideration in the (post-)Kyoto policy process

Our study is a preparatory exercise. We focus on the analysis of uncertainty in greenhouse gas emission inventories. Inventory uncertainty is monitored, but not regulated, under the Kyoto Protocol to the United Nations Framework Convention on Climate Change. Under the Convention, countries publish annual or periodic national inventories of greenhouse gas emissions and removals. Policymakers use these inventories to develop strategies and policies for emission reductions and to track the progress of these policies. However, greenhouse gas inventories contain uncertainty for a variety of reasons, and these uncertainties have important scientific and policy implications. For most countries, the emission changes agreed under the Protocol are of the same order of magnitude as the uncertainty that underlies their combined (carbon dioxide equivalent) emissions estimates. Here we apply and compare six available techniques to analyze the uncertainty in the emission changes that countries agreed to realize by the end of the Protocol’s first commitment period 2008–2012. Any such technique, if implemented, could “make or break” claims of compliance, especially in cases where countries claim fulfillment of their commitments to reduce or limit emissions. The techniques all perform differently and can thus have a different impact on the design and execution of emission control policies. A thorough comparison of the techniques has not yet been made but is needed when expanding the discussion on how to go about dealing with uncertainty under the Kyoto Protocol and its successor.     

Comparing developing countries under potential carbon allocation schemes

Abstract

To stabilise atmospheric greenhouse gas concentrations, all countries will eventually need to be included in the effort to limit climate change. This article explores what potential future greenhouse gas allocation schemes might mean for key developing countries. The need for development is widely acknowledged, but growth in non-Annex I country emissions means that such development may need to take a different path to business as usual. The national interests of developing countries in negotiating potential future commitments are shaped by basic characteristics, notably emissions (both annual and historical cumulative), economic growth and population. These factors in turn shape the acceptability of allocations based on ability to pay, emissions intensity, or emissions per capita.

Results for six major developing countries (China, India, Brazil, South Africa, Argentina and Nigeria) show that the implications for developing countries differ widely. For example, ability to pay does not favour Argentina; a reduction based on emissions intensity is not appropriate for Brazil; and per capita allocations would be problematic for South Africa. It is difficult to conceive of a single allocation scheme that would be appropriate for all developing countries. This points to the need for differentiation between developing countries in terms of any potential future commitments.     

Non-energy use of fossil fuels and resulting carbon dioxide emissions: bottom–up estimates for the world as a whole and for major developing countries

We present and apply a simple bottom–up model for estimating non-energy use of fossil fuels and resulting CO₂ (carbon dioxide) emissions. We apply this model for the year 2000: (1) to the world as a whole, (2) to the aggregate of Annex I countries and non-Annex I countries, and (3) to the ten non-Annex I countries with the highest consumption of fossil fuels for non-energy purposes. We find that worldwide non-energy use is equivalent to 1,670 ± 120 Mt (megatonnes) CO₂ and leads to 700 ± 90 Mt CO₂ emissions. Around 75% of non-energy use emissions is related to industrial processes. The remainder is attributed to the emission source categories of solvent and other product use, agriculture, and waste. Annex I countries account for 51% (360 ± 50 Mt CO₂) and non-Annex I countries for 49% (340 ± 70 Mt CO₂) of worldwide non-energy use emissions. Among non-Annex I countries, China is by far the largest emitter of non-energy use emissions (122 ± 18 Mt CO₂). Our research deepens the understanding of non-energy use and related CO₂ emissions in countries for which detailed emission inventories do not yet exist. Despite existing model uncertainties, we recommend NEAT-SIMP to inventory experts for preparing correct and complete non-energy use emission estimates for any country in the world.     

Comparison of the Anthropogenic Emission Inventory for CMIP6 Models with a Country-Level Inventory over China and the Simulations of the Aerosol Properties

Anthropogenic emission inventory for aerosols and reactive gases is crucial to the estimation of aerosol radiative forcing and climate effects.Here,the anthropogenic emission inventory for AerChemMIP,endorsed by CMIP6,is briefly introduced.The CMIP6 inventory is compared with a country-level inventory(i.e.,MEIC)over China from 1986 to 2015.Discrepancies are found in the yearly trends of the two inventories,especially after 2006.The yearly trends of the aerosol burdens simulated by CESM2 using the two inventories follow their emission trends and deviate after the mid-2000s,while the simulated aerosol optical depths(AODs)show similar trends.The difference between the simulated AODs is much smaller than the difference between model and observation.Although the simulated AODs agree with the MODIS satellite retrievals for country-wide average,the good agreement is an offset between the underestimation in eastern China and the overestimation in western China.Low-biased precursor gas of SO₂,overly strong convergence of the wind field,overly strong dilution and transport by summer monsoon circulation,too much wet scavenging by precipitation,and overly weak aerosol swelling due to low-biased relative humidity are suggested to be responsible for the underestimated AOD in eastern China.This indicates that the influence of the emission inventory uncertainties on simulated aerosol properties can be overwhelmed by model biases of meteorology and aerosol processes.It is necessary for climate models to perform reasonably well in the dynamical,physical,and chemical processes that would influence aerosol simulations.