CEMS烟气在线连续监测系统常见问题的探讨

简述CEMS的工作原理,提出CEMS工作中的常见问题,阐述常见问题的现象,剖析常见问题原因,并针对性的提出了应对措施。     

环茂公司与美国赛默飞世尔签署CEMS战略合作协议

2008年7月17下午，浙江环茂自控科技有限公司（以下简称环茂公司）与世界上最大的空气质量监测仪器生产厂家——美国赛默飞世尔科技公司，在杭州市西子国宾馆正式签署烟气排放连续监测系统（CEMS）战略合作协议，以共有品牌的CEMS新产品开拓中国烟气污染源在线监测市场。浙江省环境保护局副局长吴玉琛，浙江省环境保护科学设计研究院副院长、环茂公司董事长张胜军，环茂公司总经理张琰，赛默飞世尔中国区总裁蒋文康出席了签约仪式。     

百万燃煤机组烟气污染物超低排放改造费效评估

随着我国火电厂大气污染物排放标准的日趋严格,燃煤发电企业陆续开展环保装备升级改造工作,其中部分燃煤电厂已完成大气污染物超低排放改造工作。目前,针对超低排放改造后的成本效益,仍缺乏系统性的分析及评估。基于大量电厂运行DCS及CEMS数据,以某百万燃煤机组烟气污染物超低排放技术改造的情况为实际案例,采用费用-效益分析的方法,对其展开超低排放技术运行经济性评估及研究。同时,结合情景分析,研究负荷、含硫量及年发电时间等关键影响因素变化对污染物脱除成本的影响。结果表明:改造后,污染物(SO_2、NO_x及PM)脱除成本比改造前增加约13~20元·(MWh)-1,约占上网电价的2.8%~4.4%。改造后,该电厂SO_2、NO_x及PM排放绩效分别达到0.048、0.109及0.007 g·(k Wh)-1,每年可产生环境效益约1 344万元。此外,提升机组运行负荷能显著降低污染物脱除装备运行成本从实际运行平均负荷(66%负荷)提高到满负荷运行,FGD、SCR脱硝及ESP+WESP除尘单位发电量运行成本分别可下降约30.5%、32.1%和38.1%。     

火电厂大气污染物排放预测模型

根据大气污染物排放浓度变化特点,将无偏GM(1,1)模型与神经网络模型组合,并以矩阵型输入方式替代传统的数列型数据输入方式,得到改进型灰色神经网络模型,称为UGMN模型。接着,采用烟囱入口烟气自动监控系统(CEMS)数据,将模型运用于贵州省某电厂白天及夜间两段时间段内大气污染物排放浓度的模拟与预测。研究结果表明UGMN模型预测精度较好,可以应用于火电厂大气污染物排放浓度预测。     

中国钢铁行业大气污染物排放清单管理系统研究

针对目前钢铁行业大气污染物清单编制和管理过程中存在的问题和需求,利用全国污染源排放在线监测(CEMS)数据、环境影响评价数据、环境统计数据、污染源普查数据等资料,建立了基于生产工艺的全国钢铁行业大气污染物排放清单管理系统,实现了排放清单的动态化管理和编制等功能。以山东省为例,验证了系统清单生成、输出等功能,结果显示2012年山东省钢铁企业SO_2、NO_x、烟粉尘排放量分别为15.23万、18.16万、8.97万t,其中烧结和高炉工艺是主要排污环节;从空间分布来看,莱芜、日照两市的钢铁企业污染排放量最大,SO_2、NO_x、烟粉尘排放量合计占山东省排放总量的50%左右。     

非均匀电动力学修复技术对土壤性质的影响

非均匀电动力学技术是正在发展中的环境修复技术，其特点之一是不破坏原有的环境系统。通过小型实验研究了非均匀电动力学及其运行方式对土壤性质的影响，分析了非均匀电动力学的作用机理和影响因素，同时研究了非均匀电动力学系统的能耗和运行特征。实验结果表明，采用合适的运行方式和运行参数，可以最大限度地保护土壤原有的特征，降低能量消耗，具有潜在的应用前景。     

吸附降解法处理啤酒废水工艺的改造

对采用吸附降解法处理啤酒废水的工艺进行了改造，解决了污泥的堵塞、污泥的膨胀、池体有效容积下降、运行成本较高等问题。运行结果表明，改造后的处理效果有明显提高，出水水质稳定，运行成本有了较大幅度的下降。     

城市污水处理厂运行稳定性评估方法初探

城市污水处理厂的运行稳定性，直接关系到其运行的成本和对环境的影响。然而，如何判断并改进污水厂的运行稳定性，尚缺乏深入的探讨。通过建立计算机辅助决策支持系统，引入统计学方法，探讨了城市污水处理厂运行稳定性的评估方法。污水处理厂运行稳定性的一个重要表征就是污水厂各工艺单元的各项指标和监测数值处于相对平稳的范围，因此，可以借鉴统计学的原理和方法，构建评估的指标和标准体系，对各常规监测指标长时段的监测数据进行统计分析，寻找时间序列的散布特征，判别工艺单元运行的稳定性，从而评估污水处理厂长期运行状况和趋势，为污水处理厂的管理与维护提供指导意见，改进其运行的稳定性。     

厌氧生物反应器的设计,启动和运行控制方法

厌氧生物反应器的设计，启动和运行控制受施工因素的影响。根据作者的使用体会论述了利用实验室工作数据，指导有效地启动和稳定运行厌氧生物反应器的方法，提供了便于操作的工作程序以及厌氧生物反应器设计的基本方法，作者还就常用的厌氧生物反应器的特性，运行要点提出了建议。     

CAST工艺处理低C/N生活污水的强化脱氮性能

研究了不同运行条件对CAST工艺处理低C/N实际生活污水脱氮性能的影响，并对pH值和ORP的变化规律进行了分析。结果表明，传统4 h运行模式下，提高原水C/N比，TN去除效果并无显著提高；对于低C/N生活污水，降低充水比有利于提高出水TN去除率，然而，充水比降至16%时，系统因低负荷运行发生污泥膨胀。在不投加外碳源的情况下，采用分段进水交替A/O运行模式可大幅改善系统脱氮性能，且TN去除率随着交替次数的增多而提高，交替4次平均去除率达87.23%。系统采用实时控制方式运行时，可根据有机物降解、氨氧化及反硝化时pH值和ORP曲线上是否出现拐点，来判断反应系统的曝气以及搅拌时间是否过长、适当或不足。     

A feasibility study on the predictive emission monitoring system applied to the Hsinta power plant of Taiwan Power Company

The continuous emission monitoring system (CEMS) can monitor flue gas emissions continuously and instantaneously. However, it has the disadvantages of enormous cost, easily producing errors in sampling periods of bad weather, lagging response in variable ambient environments, and missing data in daily zero and span tests and maintenance. The concept of a predictive emission monitoring system (PEMS) is to use the operating parameters of combustion equipment through thermodynamic or statistical methods to construct a mathematic model that can predict emissions by a computer program. The goal of this study is to set up a PEMS in a gas-fired combined cycle power generation unit at the Hsinta station of Taiwan Power Co. The emissions to be monitored include nitrogen oxides (NOx) and oxygen (O2) in flue gas. The major variables of the predictive model were determined based on the combustion theory. The data of these variables then were analyzed to establish a regression model. From the regression results, the influences of these variables are discussed and the predicted values are compared with the CEMS data for accuracy. In addition, according to the cost information, the capital and operation and maintenance costs for a PEMS can be much lower than those for a CEMS.     

A Feasibility Study on the Predictive Emission Monitoring System Applied to the Hsinta Power Plant of Taiwan Power Company

Abstract

The continuous emission monitoring system (CEMS) can monitor flue gas emissions continuously and instantaneously. However, it has the disadvantages of enormous cost, easily producing errors in sampling periods of bad weather, lagging response in variable ambient environments, and missing data in daily zero and span tests and maintenance. The concept of a predictive emission monitoring system (PEMS) is to use the operating parameters of combustion equipment through thermodynamic or statistical methods to construct a mathematic model that can predict emissions by a computer program. The goal of this study is to set up a PEMS in a gas-fired combined cycle power generation unit at the Hsinta station of Taiwan Power Co. The emissions to be monitored include nitrogen oxides (NO_x) and oxygen (O₂) in flue gas. The major variables of the predictive model were determined based on the combustion theory. The data of these variables then were analyzed to establish a regression model. From the regression results, the influences of these variables are discussed and the predicted values are compared with the CEMS data for accuracy. In addition, according to the cost information, the capital and operation and maintenance costs for a PEMS can be much lower than those for a CEMS.     

Carbon dioxide emission tallies for 210 U.S. coal-fired power plants: A comparison of two accounting methods

Annual CO₂ emission tallies for 210 coal-fired power plants during 2009 were more accurately calculated from fuel consumption records reported by the U.S. Energy Information Administration (EIA) than measurements from Continuous Emissions Monitoring Systems (CEMS) reported by the U.S. Environmental Protection Agency. Results from these accounting methods for individual plants vary by ± 10.8%. Although the differences systematically vary with the method used to certify flue-gas flow instruments in CEMS, additional sources of CEMS measurement error remain to be identified. Limitations of the EIA fuel consumption data are also discussed. Consideration of weighing, sample collection, laboratory analysis, emission factor, and stock adjustment errors showed that the minimum error for CO₂ emissions calculated from the fuel consumption data ranged from ± 1.3% to ± 7.2% with a plant average of ± 1.6%. This error might be reduced by 50% if the carbon content of coal delivered to U.S. power plants were reported.

Implications:

Potentially, this study might inform efforts to regulate CO₂ emissions (such as CO₂ performance standards or taxes) and more immediately, the U.S. Greenhouse Gas Reporting Rule where large coal-fired power plants currently use CEMS to measure CO₂ emissions. Moreover, if, as suggested here, the flue-gas flow measurement limits the accuracy of CO₂ emission tallies from CEMS, then the accuracy of other emission tallies from CEMS (such as SO₂, NO_x, and Hg) would be similarly affected. Consequently, improved flue gas flow measurements are needed to increase the reliability of emission measurements from CEMS.     

Evaluation of NO(x) flue gas analyzers for accuracy and their applicability for low-concentration measurements

The requirements of the Texas State Implementation Plan of the U.S. Clean Air Act for the Houston-Galveston Ozone Nonattainment Area stipulate large reductions in oxides of nitrogen (NO(x)) emissions. A large number of sources at Dow Chemical Co. sites within the nonattainment area may require the addition of continuous emission monitoring systems (CEMS) for online analysis of NO(x), CO, and O2. At the outset of this work, it was not known whether the analyzers could accurately measure NO(x) as low as 2 ppm. Therefore, NO(x) CEMS analyzers from five different companies were evaluated for their ability to reliably measure NO(x) in the 2-20 ppm range. Testing was performed with a laboratory apparatus that accurately simulated different mixtures of flue gas and, on a limited basis, simulated a dual-train sampling system on a gas turbine. The results indicate that this method is a reasonable approach for analyzer testing and reveal important technical performance aspects for accurate NO(x) measurements. Several commercial analyzers, if installed in a CEMS application with sampling conditioning components similar to those used in this study, can meet the U.S. Environmental Protection Agency's measurement data quality requirements for accuracy.     

Predictive NOx emission monitoring on board a passenger ferry

NO_x emissions from a medium speed diesel engine on board a servicing passenger ferry have been indirectly measured using a predictive emission monitoring system (PEMS) over a 1-yr period. Conventional NO_x measurements were carried out with a continuous emission monitoring system (CEMS) at the start of the study to provide historical data for the empirical PEMS function. On three other occasions during the year the CEMS was also used to verify the PEMS and follow any changes in emission signature of the engine. The PEMS consisted of monitoring exhaust O₂ concentrations (in situ electrochemical probe), engine load, combustion air temperature and humidity, and barometric pressure. Practical experiences with the PEMS equipment were positive and measurement data were transferred to a land-based office by using a modem data communication system. The initial PEMS function (PEMS1) gave systematic differences of 1.1–6.9% of the calibration domain (0–1725 ppm) and a relative accuracy of 6.7% when compared with CEMS for whole journeys and varying load situations. Further improvements on the performance could be obtained by updating this function. The calculated yearly emission for a total engine running time of 4618 h was 316 t NO_x±38 t and the average NO_x emission corrected for ambient conditions 14.3 g kWh_corr⁻¹. The exhaust profile of the engine in terms of NO_x, CO and CO₂ emissions as determined by CEMS was similar for most of the year. Towards the end of the study period, a significantly lower NO_x emission was detected which was probably caused by replacement of fuel injector nozzles. The study suggests that PEMS can be a viable option for continuous, long-term NO_x measurements on board ships.     

Evaluation of a unified regional air-quality modeling system (AURAMS) using PrAIRie2005 field study data: The effects of emissions data accuracy on particle sulphate predictions

The effects of the accuracy of major-point source emissions input data on the predictions of a regional air-quality model (AURAMS) were investigated through a series of scenario simulations. The model domain and time period were chosen to correspond to that of PrAIRie2005, an air-quality field study with airborne and ground-based mobile measurement platforms that took place between August 12th and September 7th, 2005, over the city of Edmonton, Alberta, Canada. The emissions data from standard sources for three coal-fired power-plants located west (typically upwind) of the city were compared to the continuous emissions monitoring system (CEMS) taking place at the time of the study – the latter showed that the original emissions inventory data considerably overestimated NO_x, SO₂, and primary particulate emissions during the study period. Further field investigation (stack sampling) in the fall of 2006 showed that the measured primary particle size distribution and chemical speciation for the emissions were strikingly different from the distribution and speciation originally used in the model. The measured emissions were used to scale existing emissions data in accord with the CEMS and in-stack measurements.The effects of these improvements to the emissions data were examined sequentially in nested AURAMS simulations (finest horizontal resolution 3 km), and were compared to airborne aerosol mass spectrometer (Aerodyne AMS) measurements of particle sulphate, and particle distributions from an airborne passive cavity aerosol spectrometer probe (PCASP). The emissions of SO₂ had the greatest impact on predicted PM₁ sulphate, while the primary particle size distribution and chemical speciation had a smaller role. The revised emissions data greatly improved the comparisons between observations and model values, though over-predictions of fine-mode sulphate still occur near the power-plants, with the use of the revised emissions data. The modified emissions also had a significant impact on the larger particles of the particulate matter, with more primary PM in sizes greater than 1 μm diameter than had previously been estimated, and higher large particle concentrations close to the power-plants.     

Investigation of aerosol and gas emissions from a coal-fired power plant under various operating conditions

The concentrations of fine particles and selected gas pollutants in the flue gas entering the stack were measured under several common operation modes in an operating coal power plant producing electricity. Particle size distributions in a diameter range from 10 nm to 20 μm were measured by a scanning mobility particle sizer (SMPS), and the flue gas temperature and concentrations of CO₂ and SO₂ were monitored by a continuous emission monitoring system (CEMS). During the test campaign, five plant operating modes were studied: soot blowing, bypass of flue-gas desulfurization (FGD), reheat burner operating at 0% (turned off), 27%, and 42% (normal condition) of its full capacity. For wet and dry aerosols, the measured mode sizes were both around 40 nm, but remarkable differences were observed in the number concentrations (#/cm³, count per square centimeter). A prototype photoionizer enhanced electrostatic precipitator (ESP) showed improved removal efficiency of wet particles at voltages above +11.0 kV. Soot blowing and FGD bypass both increased the total particle number concentration in the flue gas. The temperature was slightly increased by the FGD bypass mode and varied significantly as the rating of reheat burner changed. The variations of CO₂ and SO₂ emissions showed correlations with the trend of total particle number concentration possibly due to the transitions between gas and particle phases. The results are useful in developing coal-fired power plant operation strategies to control fine particle emissions and developing amine-based CO₂ capture technologies without operating and environmental concerns associated with volatile amine emissions.

Implications: The measurement of the fine particle size distributions in the exhaust gas under several common operating conditions of a coal-fired power plant revealed different response relations between aerosol number concentration and the operating condition. A photo-ionizer enhanced ESP was demonstrated to capture fine particles with higher efficiency compared to conventional ESPs, and the removal efficiency increased with the applied voltage. The characteristic information of aerosols and main gaseous pollutants in the exhaust gas is extremely important for developing and deploying CO₂ scrubbers, whose amine emissions and operating effectiveness depends greatly on the upstream concentrations of fine particles, SO₂, from the power plant.     

厌氧条件下序批操作与连续操作对基质利用的影响

研究了在厌氧条件下以葡萄糖为基质的序批操作与连续操作反应器中微生物利用基质的不同途径。结果表明，在连续操作中，反应器内的VFA及污泥中的糖原含量保持不变，葡萄糖被用于产生甲烷和微生物增殖，两者分别占进水COD的79.34%和20.62%。在序批操作中，当进水结束时，50.17%的葡萄糖被转化为糖原储存于细胞体内，反应器内的VFA、产生的甲烷及微生物增殖分别占进水COD的25.05%、11.56%和13.22%；当反应结束时，葡萄糖转化为甲烷和微生物细胞的部分分别占进水COD的78.13%和20.6%，积累的VFA及储存的糖原被微生物代谢。两种不同操作模式下葡萄糖的代谢途径不同，序批式反应器中由于糖原储存的存在，减缓了VFA的积累，为厌氧系统的高效、稳定运行提供了保证。     

Real-World Emissions from a Modern Production Vehicle Driven in Los Angeles

The emissions of hydrocarbons, nitric oxide, and carbon monoxide from one modern vehicle were measured using on-board instrumentation during about 350 miles of driving in Los Angeles, California. Emissions during on-road driving were compared to those obtained on dynamometers using the urban dynamometer driving schedule (UDDS). Although this study only used one driver and vehicle, tested over a relatively short distance, the analysis technique may be useful for a larger evaluation of off-cycle emissions.

The test vehicle had low warmed-up running emissions over the UDDS and for most of the on-road testing where the air-to-fuel ratio was maintained at the stoichiometric point. However, occasional heavily-loaded conditions during the on-road testing led to richerthan-stoiehiometric operation.

During these brief enrichment events, which lasted up to 29 seconds, CO emissions were increased by a factor of 2500 and HC by a factor of 40 over closed-loop stoichiometric operation. Nitrogen oxide emissions were similar during low-load stoichiometric operation and high-load enriched operation. The relatively constant gram-per-second emission rate of CO and HC observed during enriched operation suggests that such information can be combined with determinations of the frequency of enrichment for a large number of vehicles with similar calibrations to estimate the impact of the additional emissions from enrichment on emissions inventories.