The comparison of source contributions from residential coal and low-smoke fuels,using CMB modeling,in South Africa

D-grade residential coal is being widely used as a fuel source for heating and cooking by most of the lower-income urban communities in South Africa. Emissions from residential coal combustion have been a major cause of elevated air pollution levels in the industrialized areas of South Africa. The adverse health effects resulting from exposure to residential coal combustion emissions have been a major public concern for many years. To address this, the Department of Minerals and Energy of South Africa conducted a macro-scale experiment in the township of Qalabotjha during the winter of 1997 to assess the technical and social benefits of combusting low-smoke fuels.This paper reports the PM_2.5 and PM₁₀ chemical mass-balance (CMB) source apportionment results from Qalabotjha during a 30-day sampling period, including a 10-day period when a large proportion of low-smoke fuels was combusted. Though emission rates of D-grade coal and low-smoke fuels may vary, their chemical abundances are too similar to be separated in CMB calculations. The source apportionment study confirmed that residential coal combustion is by far the greatest source of air pollution, accounting for 62.1% of PM_2.5 and 42.6% of PM₁₀ at the three Qalabotjha sites. Biomass burning is also a major source, accounting for 13.8% of PM_2.5 and 19.9% of PM₁₀. Fugitive dust is only significant in the coarse particle fraction, accounting for 11.3% of PM₁₀. Contributions from secondary ammonium sulfate are three–four times greater than from ammonium nitrate, accounting for 5–6% of PM mass. Minor contributions (less than 1%) were found for power plant fly ash, motor vehicle exhaust, and agricultural lime. Average PM_2.5 and PM₁₀ mass decreased by 20 and 25%, respectively, from the D-grade coal combustion period (days 1–10) to the majority of the low-smoke fuel period (days 11–20). Relative source contribution estimates (SCE) were quite similar among the three sampling periods for PM_2.5, and were quite different for PM₁₀ during the second period when 14% higher residential coal combustion and 9% lower biomass burning source contributions were found.     

青藏高原东北部土族家庭能源消费特征

家庭能源消费特征因受地理环境及文化等影响而存在显著的人文空间差异,尤其是对于特色或边远少数民族地区,迫切需要加强相关调查实证研究。基于青海省100户土族家庭的实地调研,从收入水平分组视角考察其能源消费特征,分析家庭能源消费活动的环境效应,并构建物质流模型予以可视化分析。结果表明：土族家庭年人均能源消费量为3473 kgce,以煤炭、薪柴和秸秆等为主;随着收入水平提升,能源消费结构逐渐向多元化转变且对能源重要性的认知逐渐从生物质能源转向商品能源。家庭能源消费导致的年人均CO₂、N₂O、NO_X、SO₂和TSP的产生量分别为1856.87 kg、117.10 g、254.46 g、451.87 g和520.74 g。未来应增强清洁能源利用水平,统筹推进青藏高原地区生活能源消费的可持续转型。     

Rural electrification in sub-Saharan Africa with innovative energy policy and new financing models

This paper discusses how the 630 million sub-Saharan Africa (SSA) people can be electrified with new government policy, new renewables, and innovative business models. These initiatives are translating the ambitious goals of Sustainable Development Goal 7 (SDG7) on energy and the United Nations Framework Convention on Climate Change Conference of the Parties 2015 Paris Agreement. The Paris Agreement’s central aim is to strengthen the global response to the threat of climate change by keeping a global temperature rise in this century well below 2 °C above pre-industrial levels and to pursue efforts to limit the temperature increase even further to 1.5 °C. The objective of this paper is to evaluate the feasibility and cost-effectiveness to electrify the 630 million people within the Paris Agreement. Economic status and willingness to pay for electricity services by the poor are briefly analyzed for four new business models. Cost-effectiveness analyses on technologies are undertaken. The results show that a private investment-based financial model is the most effective and environmentally friendly in rural electrification for the poorest households in SSA. The new policy, new renewable energy technologies, and financing models are shaping contemporary climate strategies that facilitate investment in clean energy, spur community economy, enhance national energy security, and improve global environment.     

不同补贴机制下的农村清洁取暖价格政策分析

补贴是北方农村清洁取暖价格政策的重要方面,确保兼顾清洁能源替代和农村居民取暖福利,从而实现政策的可持续性. 基于天津、衡水、德州3个城市的实地调研数据,通过配对样本t检验、多元回归和费用效益分析方法,探究了不同补贴机制下的清洁取暖价格政策对居民用能行为和取暖福利的影响. 结果表明:①清洁取暖价格政策会导致取暖成本增加,补贴会显著提高用气量和体感温度,但使各城市面临较大财政压力. ②各地农村清洁取暖价格政策在对用能行为、污染减排效果的影响方面存在较大差异. ③一次性补贴通过减少清洁能源消费量同时增加体感温度,提供了扭曲的价格信号. ④家庭收入显著影响清洁取暖价格政策效果. 因此,一次性补贴需要向从量补贴转变,补贴可以考虑向低收入家庭倾斜或者实施阶梯化的补贴. 为建立清洁取暖长效机制,一方面可以考虑针对农村清洁取暖建立区域大气污染补偿机制,从而推动各地建立因地制宜的清洁取暖价格补贴机制;另一方面可通过改进清洁取暖技术来降低成本,同时开发多种形式的清洁能源. 从长远看,仍需要增加农民保持可接受的收入水平的机会,逐步降低农村居民对清洁取暖补贴的依赖性.      

山西省农村地区燃煤采暖情况入户调查及排污量估算

目前对北方农村地区燃煤采暖情况的调查研究主要集中在北京及其周边地区,尚缺少不同气候条件、不同经济水平下的更大范围的样本.为了系统掌握山西全省的农村燃煤采暖情况,并为北方同类地区提供参考,考虑不同地区冬季气温及年采暖期的差异,采用随机分层抽样方法,对山西省农村地区2015年燃煤采暖的情况进行了抽样调查,对全省燃煤采暖的燃煤量以及大气污染物排放量进行了估算.调查共在8市10县获得有效样本394个.结果显示:山西省燃煤采暖的农户约占89.3%,户均采暖燃煤量3.4 t/a;冬季气温对户均采暖燃煤量有显著影响,晋北严寒地区户均采暖燃煤量可达4.4 t/a,而在晋南等相对温暖地区户均采暖燃煤量仅是其57%.在同一地区,家庭经济条件会影响所选择的采暖器具,进而影响采暖燃煤量,经济条件较好的家庭选择土暖气,户均燃煤量是选择暖炕加小煤炉采暖家庭的2.3倍.估算2014—2015年采暖期山西省农村采暖燃煤约1 297.8×104 t,PM、PM_2.5、SO₂、NO_x、BC、OC、CO约分别排放13.0×104、9.1×104、19.9×104、2.1×104、4.1×104、5.6×104、123.3×104 t.研究显示,山西省单位面积采暖燃煤量约是北京、河北等同类地区的1/3,考虑到山西省经济条件较差,建议对城中村、城边村采暖实施煤改气、煤改电,其他地区则主要通过增强建筑的保温性,使用低硫煤等措施减少农村采暖燃煤排污.      

室内小煤炉采暖对尿中1-羟基芘的影响

用尿中1-羟基芘作为指标,观察了室内用小煤炉采暖、暖气采暖和非采暖季节时相同人群尿中1-羟基芘的变化,自身对照和人群对比的测定结果,经数理统计检验后均证明:用小煤炉采暖时人尿中的1-羟基芘显著高于甩暖气采暖或不采暖时的结果,表明用小煤炉采暖造成了室内空气中多环芳烃的严重污染,用尿中1-羟基芘可做为人体接触空气中多环芳烃污染的一个特异、灵敏的指标。     

Adaptation to climate change in Ethiopia and South Africa: options and constraints

Climate change is expected to adversely affect agricultural production in Africa. Because agricultural production remains the main source of income for most rural communities in the region, adaptation of the agricultural sector is imperative to protect the livelihoods of the poor and to ensure food security. A better understanding of farmers’ perceptions of climate change, ongoing adaptation measures, and the decision-making process is important to inform policies aimed at promoting successful adaptation strategies for the agricultural sector. Using data from a survey of 1800 farm households in South Africa and Ethiopia, this study presents the adaptation strategies used by farmers in both countries and analyzes the factors influencing the decision to adapt. We find that the most common adaptation strategies include: use of different crops or crop varieties, planting trees, soil conservation, changing planting dates, and irrigation. However, despite having perceived changes in temperature and rainfall, a large percentage of farmers did not make any adjustments to their farming practices. The main barriers to adaptation cited by farmers were lack of access to credit in South Africa and lack of access to land, information, and credit in Ethiopia. A probit model is used to examine the factors influencing farmers’ decision to adapt to perceived climate changes. Factors influencing farmers’ decision to adapt include wealth, and access to extension, credit, and climate information in Ethiopia; and wealth, government farm support, and access to fertile land and credit in South Africa. Using a pooled dataset, an analysis of the factors affecting the decision to adapt to perceived climate change across both countries reveals that farmers were more likely to adapt if they had access to extension, credit, and land. Food aid, extension services, and information on climate change were found to facilitate adaptation among the poorest farmers. We conclude that policy-makers must create an enabling environment to support adaptation by increasing access to information, credit and markets, and make a particular effort to reach small-scale subsistence farmers, with limited resources to confront climate change.     

Carbon capture and storage deployment rates: needs and feasibility

Carbon capture and storage (CCS) may become a key technology to limit human-induced global warming, but many uncertainties prevail, including the necessary technological development, costs, legal ramifications, and siting. As such, an important question is the scale of carbon dioxide abatement we require from CCS to meet future climate targets, and whether they appear reasonable. For a number of energy technology and efficiency improvement scenarios, we use a simple climate model to assess the necessary contribution from CCS to ‘fill the gap’ between scenarios’ carbon dioxide emissions levels and the levels needed to meet alternative climate targets. The need for CCS depends on early or delayed action to curb emissions and the characteristics of the assumed energy scenario. To meet a 2.5°C target a large contribution and fast deployment rates for CCS are required. The required deployment rates are much faster than those seen in the deployment of renewable energy technologies as well as nuclear power the last decades, and may not be feasible. This indicates that more contributions are needed from other low-carbon energy technologies and improved energy efficiency, or substitution of coal for gas in the first half of the century. In addition the limited availability of coal and gas by end of the century and resulting limited scope for CCS implies that meeting the 2.5°C target would require significant contributions from one or more of the following options: CCS linked to oil use, biomass energy based CCS (BECCS), and CCS linked to industrial processes.     

Including adaptation costs and climate change damages in evaluating post-2012 burden-sharing regimes

Many studies have been published to evaluate the consequences of different post-2012 emission allocation regimes on regional mitigation costs. This paper goes one step further and evaluates not only mitigation costs, but also adaptation costs and climate change damages. Three post-2012 emission allocation regimes (Contraction & Convergence, Multistage and Common but differentiated convergence) and two climate targets (2°C and 3°C above the pre-industrial level) are considered. This explorative analysis shows that including these other cost categories could lead to different perspectives on the outcomes of allocation regimes. Up to 2050, the poorest regions have negative mitigation costs under all allocation regimes considered, as they benefit from emission trading. However, these regions also suffer from the most severe climate impacts. As such, the financial flows due to emission trading from developed to developing countries created under these allocation regimes could also be interpreted as compensation of climate change damages and adaptation costs. In the longer run, the sum of climate change damages, adaptation costs and mitigation costs are the highest in the poorest regions of Sub-Saharan Africa and South Asia, for both climate targets and practically all emission allocation regimes.     

安徽省冬季采暖耗能对全球气候变暖的响应

基于1971—2018年安徽省77个气象站均一化日平均温度资料,采用趋势分析等方法,研究气候变暖对冬季采暖耗能的影响。结果表明：近48年安徽省冬季显著增暖,采暖初日推迟、终日提前,采暖期长度缩短,采暖强度显著下降。冬季温度在1989年发生突变,此后进入升温通道,因而将研究序列划分为基准时段（1971—1989年）和变暖期（1990—2018年）。相比于基准时段,变暖期内采暖期长度呈现空间一致性缩短,变化幅度自东北向西南递减,皖北北部及江淮之间东部缩短程度最大,大别山及皖南山区为全省低值区。全省采暖强度均减少,减少幅度自北向南递减。采暖节能贡献率介于3.6%~8.9%之间,高值区主要位于皖北北部、江淮之间北部和沿江东部,低值区则位于大别山及皖南两大山区。     

气候变暖对中国夏热冬冷地区居住建筑采暖降温年耗电量的影响

20世纪80年代中期以来的气候变暖,尤其是90年代中期以来的气候显著变暖带给社会经济发展的利与弊,一直以来受到广泛关注。气候变暖对于建筑耗能,尤其是对采暖和降温总耗能的影响很值得研究。论文以主要使用电能进行空间调节的中国夏热冬冷地区为对象,以《夏热冬冷地区居住建筑节能设计标准JCJ134-2001》中所规定的采暖、降温耗电量限值为依据,研究了气候变暖对该区居住建筑单位面积采暖年耗电量、降温年耗电量及采暖降温年耗电总量的影响。结果表明,1986年以来的气候变暖,尤其是1996年以来的气候显著变暖,理论上使夏热冬冷地区居住建筑单位面积采暖年耗电量降低;同时增加了相当一部分地区居住建筑单位面积降温年耗电量;除个别地区外,气候变暖理论上使中国夏热冬冷地区居住建筑单位面积采暖降温耗电总量普遍下降。     

乌鲁木齐市大气污染防治现状与目标措施分析

乌鲁木齐市是中国乃至世界上大气污染最严重的城市之一,特殊的地形结构、气候条件和采暖方式构成,使乌鲁木齐市大气污染问题并没有得到根本性的解决。乌鲁木齐市近年来不断加大环保投入,加强环境管理,全面开展了严格控制高硫煤使用、拆并燃煤锅炉、控制机动车尾气污染、优化能源结构等污染防治工作,环境空气质量得到明显改善。但随着社会经济快速发展,大气污染物排放总量呈潜在的增加趋势,对全市环境空气质量构成了巨大的压力。最后针对目前乌鲁木齐市区大气污染现状提出七条预防措施。     

Impact assessment of climate policy on Poland's power sector

This article addresses the impact of the European Union Emissions Trading System (EU ETS) on Poland’s conventional energy sector in 2008–2020 and further till 2050. Poland is a country with over 80% dependence on coal in the power sector being under political pressure of the European Union’s (EU) ambitious climate policy. The impact of the increase of the European Emission Allowance (EUA) price on fossil fuel power sector has been modelled for different scenarios. The innovation of this article consists in proposing a methodology of estimation actual costs and benefits of power stations in a country with a heavily coal-dependent power sector in the process of transition to a low-carbon economy. Strong political and economic interdependence of coal and power sector has been demonstrated as well as the impact caused by the EU ETS participation in different technology groups of power plants. It has been shown that gas-fuelled combined heat and power units are less vulnerable to the EU ETS-related costs, whereas the hard coal-fired plants may lose their profitability soon after 2020. Lignite power plants, despite their high emissivity, may longer remain in operation owing to low operational costs. Additionally, the results of long-term, up to 2050, modelling of Poland’s energy sector supported an unavoidable need of deep decarbonisation of the power sector to meet the post-Paris climate objectives. It has been concluded that investing in coal-based power capacity may lead to a carbon lock-in of the power sector. Finally, the overall costs of such a transformation have been discussed and confronted with the financial support offered by the EU. The whole consideration has been made in a wide context of changes ongoing globally in energy markets and compared with some other countries seeking transformation paths from coal. Poland’s case can serve as a lesson for all countries trying to reduce coal dependence in power generation. Reforms in the energy sector shall from the very beginning be an essential part of a sustainable transition of the whole nation’s economy. They must scale the power capacity to the future demand avoiding stranded costs. The reforms must be wide-ranging, based on a wide political consensus and not biased against the coal sector. Future energy mix and corresponding technologies shall be carefully designed, matched and should remain stable in the long-term perspective. Coal-based power capacity being near the end of its lifetime provides an economically viable option to commence a fuel switch and the following technology replacement. Real benefits and costs of the energy transition shall be fairly allocated to all stakeholders and communicated to the society. The social costs and implications in coal-dependent regions may be high, especially in the short-term perspective, but then the transformation will bring profits to the whole society.     

Application of a Life Cycle Impact Assessment framework to evaluate and compare environmental performances with economic values of supplied coal products

The South African economy is strongly based on coal as a mined resource, and various grades of coal are supplied to local and international customers. However, the environmental impacts associated with the preparation and production of different coal grades from Run of Mine (RoM) or raw coal are variable; specifically, the different mining methods used for coal extraction – opencast or underground mining – have different environmental impacts. The entire life cycles of the grades of coal must therefore be evaluated in order to compare environmental performances with supplied economic values. In this paper, a Life Cycle Impact Assessment (LCIA) methodology, based on the ISO 14040 standard, is applied for this purpose. Four cases are considered in South Africa: typical high-grade and low-grade coals from opencast and underground mines.     

Policy misfits,climate change and cross-scale vulnerability in coastal Africa: how development projects undermine resilience

Coastal social ecological systems in eastern Africa are subject to a range of environmental, social and economic changes. They are already vulnerable to these multiple stressors, and the impacts of climate change are likely to further exacerbate their vulnerabilities. Some of these impacts may be observed and experienced already. The analysis presented in this paper is based on mixed methods empirical research exploring local perceptions of recent changes at four sites in coastal Tanzania and Mozambique. People recognise and rank a number of climate and non-climate stressors which have contributed towards more risky and less diverse livelihoods. Importantly, regional and international policy initiatives – in the form of river basin management in Mozambique and South Africa, and development of a Marine Protected Area in Tanzania – are perceived to further erode resilience and exacerbate vulnerabilities. We suggest this is a form of policy misfit, where policies developed to address a specific issue do not take account of cross-scale dynamics of change, the interactions between multiple stressors, nor longer term climate change. This policy misfit may be remedied by a move towards adaptive forms of governance, and necessitates an explicit focus on building the adaptive capacity of the poor and most vulnerable in society.     

A policy review of synergies and trade-offs in South African climate change mitigation and air pollution control strategies

Climate change mitigation and air quality management are mostly addressed separately in South African legal acts and policies. This approach is not always coherent, especially in the context of other serious issues South Africa is facing, such as poverty alleviation. Policies implemented to mitigate climate change might increase negative health affects due to unanticipated outcomes (e.g. increased local air pollution), and these indirect consequences must therefore be taken into account when devising mitigation strategies. However, greenhouse gas mitigation policies can also have co-benefits and positive impacts on local air pollution. An evidence-based approach that takes into account greenhouse gas emissions, ambient air pollutants, economic factors (affordability, cost optimisation), social factors (poverty alleviations, public health benefits), and political acceptability is needed tackle these challenges. A proposal is made that use of an integrated climate/air pollution techno-economic optimising model, such as the Greenhouse Gas and Air Pollution Synergies (GAINS) model, may provide a rational decision support tool to guide policy makers into effective strategies for combined Climate Change and Air Quality mitigation measures.     

采煤地区农户生活用能的碳排放及其影响机制

研究采煤地区农户生活用能的碳排放,有助于更好地认识和制定农村减排的相关政策。以渭北“黑腰带”中部白水县地下采煤区为例,采用对比分析法、联合国政府间气候变化专门委员会（IPCC）的碳排放计算方法,定量探究采煤地区农户生活用能的碳排放及其影响机制。结果表明,采煤地区农户生活用能的碳排放（1 639.56 kg C/户）少于非采煤区（1 747.77 kg C/户）,前者主要来源于煤炭、薪柴、电能,三类能源贡献了96%以上,煤炭达61.72%;后者主要为薪柴、煤炭、秸秆、电能,较分散多元,整体以薪柴（41.30%）为主。采煤地区农户商品性能源消费 1 443.2 kgce/户,非采煤区为1 014.47 kgce/户,没有呈现用能结构向商品化转变而碳排放增多的状况。碳排放与用能类型、使用数量及排放系数相关,有碳排放的能源使用数量越多,排放系数越大,碳排放量越多。采煤是造成农户生活用能及其碳排放较正常状况下有所差异的根源和主要诱因。应改良用能灶具以提高利用热效,增加沼气等新型用能份额,关注用能的区域差异带来的不同排放效果。     

京津冀区域清洁取暖的支付意愿和影响因素

通过对北京、保定、太原、晋城等城市的农村地区实地走访和问卷调查,获取农村居民的清洁取暖支付意愿情况,基于条件价值评估法构建多元回归模型,对居民清洁取暖支付意愿及其影响因素进行测算分析.结果表明,80%以上的受访者对清洁取暖补贴政策有所了解,但有32.8%的受访者对现行补贴标准表示不满,受访者清洁取暖支付意愿平均为2926元/采暖季,其中北京、保定、太原、晋城受访者的清洁取暖支付意愿分别为3581,2787,2772, 3000元/采暖季;家庭年收入、清洁取暖改造费用、现行补贴标准、煤炭利用对空气质量影响程度及清洁取暖效果等均是受访者支付意愿的显著影响因素,而对清洁取暖的能源利用类型、对雾霾事件的关注度及对环保知识的了解程度不存在显著影响.     

我国北方农村生活燃煤情况调查、排放估算及政策启示

北方重灰霾频发时段与集中燃煤在冬季高度重合,引发了对农村散煤严重污染的担忧,但缺乏有力的统计数据支持. 2014年9月,在河北保定开展了当地农村生活能源使用情况入村调查,共获得5个村庄中543户家庭的能源使用数据. 结果表明:①保定农村地区散煤、电、液化气的使用覆盖率均很高,分别达到97%、100%和94%,反映了当前农村居民的能源消费更倾向于商业购置;而木柴和秸杆的使用覆盖率则较低,分别为13%和11%,表明传统的依赖于木柴和秸杆的能源方式已发生了根本改变. ②目前煤炭在农村能源结构中仍居主导地位,占近80%(其中散煤占76%,蜂窝煤占2%),其次为电力(10%)、液化气(5%),秸杆和木柴的比例(小于5%)均较低. ③调查估算,保定农村地区在2013年冬季采暖季(2013年11月─2014年3月)散煤用量超过500×104 t,高于《中国能源统计年鉴(2013)》中河北全省2012年农村散煤的用量(467×104 t),表明现有能源统计体系有待进一步完善. ④保定农村地区散煤的烟粉尘(即PM)和SO₂排放量分别为5.4×104和11.2×104 t,均超过了《中国环境统计年报(2013)》中保定的工业废气和城镇生活领域相应的排放量(甚至超过2个领域排放量之和),表明农村散煤燃烧的排放问题确应引起特别关注.由于农村散煤燃烧排放高度较低,其单位排放对空气污染的贡献要远高于高架源排放,因此,建议国家和地方将农村能源结构调整置于当前能源结构调整计划的最优先领域,采取综合措施,消除农村散煤使用的污染排放,这可能是应对当前冬季灰霾问题的关键举措之一.      

天津地区地热热泵联合供热方式的可行性分析

天津地区蕴藏着丰富的低温地热资源,分析表明,开发地热能并使用水源热泵对室内进行供暖是可行的,与燃煤热水锅炉供热相比,具有节省矿物能源、降低成本、保护环境的优势,适合在天津及广大北方地区推广。