广东省火电行业SO2排放控制对策探讨

广东省火电行业的SO2排放量占重点工业企业SO2排放量的70%.随对电力能源的需求越大,广东省的SO2排放控制面临的压力就越大.介绍了广东省火电行业SO2排放和能源消耗情况的现状,重点分析了广东省火电行业SO2排放控制的政策、措施,针对目前管理中存在的问题提出了对策、建议.     

中国火电行业SO2排污交易政策研究及框架设计

总结美国推行排污交易的发展历程及经验,从总量控制与排污交易的基本内涵出发,阐述排污交易的基本特征.立足于中国当前火电行业SO2排放总量控制的进程,综合分析当前火电行业SO2排放总量的控制方法、边际治理成本差异、定量化管理条件以及社会认同程度可以得出,中国已具有对火电行业实行SO2排污交易的基本条件.在此基础上,设计出中国火电行业实行SO2排污交易的框架体系.     

基于DEA模型的区域削减指标分配研究

运用数据包络分析(DEA)方法,建立了区域削减指标分配模型,综合分析了2005年全国31个省、市、自治区的主要污染物COD和SO2排放绩效以及水资源、能源的利用效率.分析表明,我国COD、SO2的排放效率、水资源和能源的利用效率比较低,节水节能减排的潜力很大.根据效率原则,得到了全国各地区节能节水减排的削减指标分配表.     

我国氮氧化物排放因子的修正和排放量计算:2000年

根据我国城市的发展状况 ,采用城市分类的方法 ,将我国 2 6 1个地级市按照人口数量分为 5个类别。每类城市选取一个典型城市进行实地调查 ,对我国燃烧锅炉和机动车的NOx 的排放因子进行了修正 ,提出了适合我国目前排放水平的各类城市的固定源和移动源的排放因子。并依据 2 0 0 0年中国大陆地区的电站锅炉、工业锅炉和民用炉具的燃料消耗量和机动车保有量 ,以地级市为基本单位 ,估算了 2 0 0 0年我国各地区的NOx 排放量 ,分析了分地区、分行业、分燃料类型的NOx 排放特征。 2 0 0 0年我国NOx 排放总量为 11.12Mt,其中固定源占 6 0 .8% ;移动源占 39.2 %。NOx 排放在地域、行业和燃料类型上分布均不平衡。NOx 的排放主要集中在华东和华北地区 ,其排放量占全国排放量的一半以上。燃煤为最重要的NOx 排放源 ,其排放量占燃料型NOx 排放量的 72 .3%左右。     

钢铁行业氮氧化物控制技术及对策

根据2007年第一次全国污染源普查数据,钢铁行业氮氧化物排放量已达81.74万t,约占全国总排放量的4.55％,是继火力发电、机动车、水泥工业后第四大氮氧化物排放源.针对中国重要氮氧化物来源——钢铁工业的氮氧化物生成机制,排放节点及特征,国内外控制技术现状开展综述研究.研究表明,钢铁工业中的氮氧化物的产生以高温型为主.烧结、焦化、炼铁、炼钢、轧钢等过程为主要的氮氧化物排放源.收集并整理了国外在钢铁各工序上的主要氮氧化物控制技术及其在国内的应用状况.在回顾中国钢铁大气污染物控制历程的基础上,提出了中国钢铁行业氮氧化物控制的对策建议.     

江苏省电力行业SO2排放配额分配的探索

研究了江苏省电力行业SO2排放现状,提出利用排放绩效(GPS),并考虑现行环保政策和已定总量控制目标、火电机组容量、热电联产、两控区内外控制等因素分配电力行业SO2排放配额的方法.     

不同规模火电机组排污负荷实测分析

通过对不同规模火电机组污染物排放实测,对各种规模机组的排污负荷进行了分析.实测结果显示,1 000 MW机组平均烟尘排放负荷为0.013 g/(kW·h),平均SO2排放负荷0.142 g/(kW·h),平均NOx排放负荷0.254 g/(kW·h),分别为130MW机组的5.58％、15.45％、9.12％.说明通过采取机组规模以大代小和技术改革后,火电机组单位发电量排放的烟尘、SO2、NOx显著下降.中国火电机组SO2排放水平可满足先进国家排放要求,而600MW及以下规模机组的NOx排放水平与先进国家存在差距,应对600MW及以下规模机组采取进一步脱硝措施.     

高效喷淋泡沫脱硫技术及装置的应用

SO2是产生酸雨的主要气体,其主要来源于工业燃煤锅炉.以沈阳一家电厂为例,该厂选用新型高效的喷淋泡沫脱硫除尘器对锅炉排放的SO2进行治理.进入喷淋泡沫塔前的SO2平均浓度为2780 mg/m3,经脱硫后出塔平均浓度为289.3 mg/m3,去除率为89.6%.结果表明,这种有别于传统湿法的新型高效的喷淋泡沫脱硫技术及装置具有脱硫效率高、装置占地少、运行稳定、沉淀物易于回收利用等特点,对锅炉排放的SO2进行治理是非常有效的.     

北方城市分季节SO_2允许排放量分配技术方法

北方城市采暖季和非采暖季污染源排放特征以及气象扩散条件具有显著差异,针对不同季节污染状况,利用排放绩效法,结合Calpuff环境空气质量模型建立了分季节SO2允许排放量分配技术方法,并以乌鲁木齐市为例进行应用,对2012年SO2分季节的允许排放量进行核算。结果表明,SO2年允许排放量为8.8×104 t,削减率为27.4%。其中采暖季电厂燃煤源、工业燃煤源的SO2允许排放量分别为0.99×104、2.3×104 t,非采暖季电厂燃煤源和工业燃煤源的SO2允许排放量分别为1.3×104、4.2×104 t,结果能满足乌鲁木齐市"总量减排和环境质量双达标"的要求。与传统方法相比,分季节核算污染物允许排放量能更好地实现环境容量的优化配置,引导企业合理地进行工业产量的季节分配。     

建筑陶瓷行业SO2污染物评价及总量控制实用方法

采用高斯点源模型对建陶生产造成的SO2地面浓度增量进行计算.利用比例下降模型计算建陶业的SO2允许排放总量,并根据企业的设备生产能力进行了总量分配,在方法上具有较强的可操作性,计算结果表明,可有效降低所在地区的SO2地面浓度.     

Anthropogenic mercury emission inventory with emission factors and total emission in Korea

Mercury emissions concentrations, emission factors, and the total national emission from major anthropogenic sources in Korea for the year 2007 were estimated. Uncontrolled and controlled mercury emission factors and the total emission from each source types are presented. The annual national mercury emission from major anthropogenic sources for the year 2007, on average was 12.8 ton which ranged from 6.5 to 20.2 ton. Averaged emissions of elemental, oxidized, and particulate mercury were estimated at 8.25 ton, 3.69 ton, and 0.87 ton, respectively. Due to the removal of a major portion of particulate and oxidized mercury species, elemental mercury was dominant in stack emission. About 54.8% of mercury emission was contributed by industrial sources, 45.0% by stationary combustion sources and 0.02% by mobile sources. Thermal power plants, oil refineries, cement kilns and incinerators (municipal, industrial, medical, sewage sludge) were the major mercury emitters, contributing about 26%, 25%, 21% and 20%, respectively to the total mercury emission. Other sources (crematory, pulp and paper manufacturing, nonferrous metals manufacturing, glass manufacturing) contributed about 8% of the total emission. Priority should be given in controlling mercury emissions from coal-fired power plants, oil refineries, cement kilns and waste incinerators. More measurements including natural and re-emission sources are to be carried out in the future in order to have a clear scenario of mercury emission from the country and to apply effective control measures.     

Line source emission modelling

Line source emission modelling is an important tool in control and management of vehicular exhaust emissions (VEEs) in urban environment. The US Environmental Protection Agency and many other research institutes have developed a number of line source models (LSMs) to describe temporal and spatial distribution of VEEs on roadways. Most of these models are either deterministic and/or statistical in nature.This paper presents a review of LSMs used in carrying out dispersion studies of VEEs, based on deterministic, numerical, statistical and artificial neural network techniques. The limitations associated with deterministic and statistical approach are also discussed.     

Methane emission from lakes

A physico-chemical model to describe methane and carbon dioxide emission from lakes was developed. The model describes the emission by diffusion, bubbles and plants. The intensity of the fluxes can be calculated either for total or particular emission in dependence on gas bubbles composition. It was found, that diffusional (Q) and bubble (J) fluxes depend on the methane molar ratio (X) in bubbles as follows: [formula: see text]. The model allows to estimate the role of the methane oxidation by atmospheric oxygen in the total methane flux. It was shown, that the methane oxidation does not influence much methane fluxes to the atmosphere for most of the experimentally observed situations.     

燃煤电厂典型超低排放除尘技术组合下的尘排放特性

为研究典型超低排放除尘技术组合下的尘排放特性,梳理了目前超低排放除尘技术改造的主流技术路线,归纳出典型的7种改造技术路线。依据典型的改造技术路线,选择了27台在2015—2017年完成改造的燃煤发电机组,并对其烟尘排放进行长期的连续监测,根据机组长期运行的排放表现对典型超低排放除尘技术路线的实际减排效果进行量化对比分析。结果表明,7种除尘改造技术路线均可达到控制烟尘排放浓度在10 mg·m~(-3)以下的超低排放标准,其中路线6改造后尘浓度控制在2 mg·m~(-3)以下。对减排效率的研究表明,各技术路线改造后的减排效率均可达到99.97%以上,计算得到机组的平均排放因子为0.025 7 kg·t~(-1)(95%置信区间0.025 4～0.026 1 kg·t~(-1)),其中路线6的排放因子最低,为0.008 6 kg·t~(-1)(95%置信区间0.008 4～0.008 8 kg·t~(-1))。     

水泥厂氨排放标准存在的问题及氨排放控制

为控制水泥脱硝工程产生的氨排放问题,中国发布《水泥工业大气污染物排放标准》(GB 4915—2013)对水泥企业氨排放限值提出明确要求。但水泥脱硝设施同步配套的氨在线检测仪记录数据表明,多数水泥厂脱硝后的氨排放浓度远超过标准限值。为此,对照火电厂相关标准和技术规范,指出了水泥工业氨排放标准和技术规范文件中存在的问题。结合实际检测数据和国外相关文献,确认水泥工业存在"本底氨"排放,水泥原料、协同处理废弃物、生产工况变化是导致本底氨排放的主要原因。选择性非催化还原(SNCR)脱硝设施产生的氨逃逸将增加氨排放浓度,反应温度窗口、停留时间、氨/氮摩尔比(NSR)、喷射方案等均会影响氨逃逸浓度。优化水泥生产工艺、SNCR脱硝工艺或配套选择性催化还原(SCR)脱硝系统等方式可有效控制水泥厂本底氨及氨逃逸。     

Product rollover strategy and emission reduction with intertemporal carbon emission regulation versus consumer supervision

Environmental Science and Pollution Research - As global warming has severely threatened the ecosystem and sustainable development of human beings, carbon trading scheme is introduced to mitigate...     

The impact of the establishment of carbon emission trade exchange on carbon emission efficiency

Environmental Science and Pollution Research - The China government focuses on changes in carbon emission efficiency with establishing carbon emission trade exchange (CETE). It is meaningful to...     

Quantification of emission factor uncertainty

Emissions factors are important for estimating and characterizing emissions from sources of air pollution. There is no quantitative indication of uncertainty for these emission factors, most factors do not have an adequate data set to compute uncertainty, and it is very difficult to locate the data for those that do. The objectives are to compare the current emission factors of Electric Generating Unit NOx sources with currently available continuous emission monitoring data, develop quantitative uncertainty indicators for the Environmental Protection Agency (EPA) data quality rated emission factors, and determine the possible ranges of uncertainty associated with EPA's data quality rating of emission factors. EPA's data letter rating represents a general indication of the robustness of the emission factor and is assigned based on the estimated reliability of the tests used to develop the factor and on the quantity and representativeness of the data. Different sources and pollutants that have the same robustness in the measured emission factor and in the representativeness of the measured values are assumed to have a similar quantifiable uncertainty. For the purposes of comparison, we assume that the emission factor estimates from source categories with the same letter rating have enough robustness and consistency that we can quantify the uncertainty of these common emission factors based on the qualitative indication of data quality which is known for almost all factors. The results showed that EPA's current emission factor values for NOx emissions from combustion sources were found to be reasonably representative for some sources; however AP-42 values should be updated for over half of the sources to reflect current data. The quantified uncertainty ranges were found to be 25-62% for A rated emission factors, 45-75% for B rated emission factors, 60-82% for C rated emission factors, and 69-86% for D rated emission factors, and 82-92% for E rated emission factors.     

Creating an emission model based on portable emission measurement system for the purpose of a roundabout

Environmental Science and Pollution Research - Road transport is the main source of pollution to the environment in urban areas; therefore, there is a need to accurately estimate the amount of...