Impact of Aircraft NOx Emission on NOx and Ozone over China

A three-dimensional global chemistry transport model (OSLO CTM2) is used to investigate the impact of subsonic aircraft NOZ emission on NOX and ozone over China in terms of a year 2000 scenario of subsonic aircraft NOX emission. The results show that subsonic aircraft NO* emission significantly affects northern China, which makes NOX at 250 hPa increase by about 50 pptv with the highest percentage of 60% in January, and leading to an ozone increase of 8 ppbv with 5% relative change in April. The NOX increase is mainly attributed to the transport process, but ozone increase is produced by the chemical process. The NOX increases by less than 10 pptv by virtue of subsonic aircraft NOX emission over China, and ozone changes less than 0.4 ppbv. When subsonic aircraft NOX emission over China is doubled, its influence is still relatively small.

Changes in PM2.5 sensitivity to NOx and NH3 emissions due to a large decrease in SO2 emissions from 2013 to 2018

The authors evaluated and compared the behavior of PM2.5 with respect to NOx and NH3 emission changes in high(the year 2013)and low(the year 2018)SO2 emission cases.Two groups of simulations were conducted based on anthropogenic emissions from China in 2013 and 2018,respectively.In each group of simulations,a respective 25%reduction in NOx and NH3 emissions were assumed.A sensitivity factor(β)was defined as the relative change in PM2.5 concentration due to 1%change in NOx or NH3 emissions.In the high SO2 emissions case,PM2.5 was more sensitive to NH3(0.31)emissions change than NOx(0.21).Due to the significant decrease in SO2 emissions from the high to low SO2 emissions case,the sensitivity of PM2.5 to NOx increased to 0.33,while its sensitivity to NH3 decreased to 0.22.The result implies that now and in the future,PM2.5 is/will be less sensitive to NH3 emissions change,while NOx emissions control is more effective in reducing the surface PM2.5 concentration.Seasonally,in the low SO2 emissions case,the sensitivities of PM2.5 to NOx and NH3 in winter were higher than those in summer,indicating that to dealwith severewinter hazemore attention should be paid to the emissions control of inorganic PM2.5 precursors,especially NOx.

Emissions of SO2, NOx and PMs from Cement Plant in Vicinity of Khoms City in Northwestern Libya

Estimated emissions of gases and particulate matter from two Portland cement plants near Khoms city in northwestern Libya by computer simulation reveal that the SO2, NOx and dust emissions exceed selected international standard limits. The results highlight the need for improved operational procedures to minimize emissions and avoid any possible adverse environmental effects.

Study on effect of heat transfer space non-uniformity of combustion chamber components on in-cylinder NOx emission formation in internal combustion engine

The components of combustion chamber (cylinder head-cylinder liner-piston assembly-oil film) were taken as a coupled body.Based on the three-dimensional heat transfer numerical simulation of the coupled body,a coupled three-dimensional calculation model for in-cylinder working process and the combustion chamber components was built with domain decomposition and boundary coupled method,which implements the coupled three-dimensional simulation of in-cylinder working process and the combustion chamber components.The model was applied in the influence investigation of the space non-uniformity in heat transfer among combustion chamber components on the generation of in-cylinder emissions:NOx.The results showed that the heat transfer space non-uniformity of combustion chamber components directly influences the formation of in-cylinder NOx.The main area being influenced was the accessory area on the wall,while the influence on the generation of NOx in the central area couold be omitted.

Numerical Study on NOx Emissions of Methane Re-Combustion in a 600 MWe Coal-Fired Boiler

The fuel staging combustion technology is a promising low NOx combustion technology for coal-fired boiler. In order to reduce NOx emissions, the burners of a 600?MWe coal-fired boiler are retrofitted in which methane gas is selected as a secondary fuel for re-combustion. The CFD models of combustion process are built to investigate?effects of the methane gasratio on combustion process and NOx emissions. A total of 4 cases are numerically studied, including the pure coal combustion case, the coal combustion with 7.5%, 10%, 12.5% of methane gas re-combustion cases respectively. The results show that the re-combustion of methane can reduce the temperature at primary combustion zone, but increase the temperatures at the re-combustion area and the furnace outlet. The NOx concentration at the furnace outlet reduces with the increasing methane gas ratio.?Methane re-combustion can greatly benefit to the NOx emissions reduction.

Angle Scattering Method for Soot Concentration Measurement under Ultra-Low Emissions Condition

Aiming at the problem of soot concentration measurement under ultra-low emission conditions,a forward small angle soot concentration measurement method is proposed.Taking a typical boiler emission of 0.1μm-3.0μm bimodal distribution soot as an object,the particle scatter simulation calculation under different parameters is carried out,and the influence of detection angle and particle size on the angular scatteringmeasurement of ultra-low emission soot is analyzed.The influence of detection angle and particle size on the angular scatteringmeasurement of ultra-lowemission soot is analyzed.Preferably,thewavelength of incident light is 650 nm,and the forward detection angle parameter is 15◦for the design of forward small angle soot concentration measurement system.An experimental system for measuring soot with standard concentration is built.Experiments of particle concentration measurement of 1.0μm and 3.0μm under ultra-low emission conditions are carried out.The results show that the average deviation of soot concentration measurement is less than 0.10 mg/m3 under the condition of ultra-low emission by using 15◦of forward detection,which provides an effective way for monitoring ultra-low emission soot concentration in coal-fired power plants.

Soil NOx Emission Prediction via Recurrent Neural Networks

This paper presents designing sequence-to-sequence recurrent neural network(RNN)architectures for a novel study to predict soil NOx emissions,driven by the imperative of understanding and mitigating environmental impact.The study utilizes data collected by the Environmental Protection Agency(EPA)to develop two distinct RNN predictive models:one built upon the long-short term memory(LSTM)and the other utilizing the gated recurrent unit(GRU).These models are fed with a combination of historical and anticipated air temperature,air moisture,and NOx emissions as inputs to forecast future NOx emissions.Both LSTM and GRU models can capture the intricate pulse patterns inherent in soil NOx emissions.Notably,the GRU model emerges as the superior performer,surpassing the LSTM model in predictive accuracy while demonstrating efficiency by necessitating less training time.Intriguingly,the investigation into varying input features reveals that relying solely on past NOx emissions as input yields satisfactory performance,highlighting the dominant influence of this factor.The study also delves into the impact of altering input series lengths and training data sizes,yielding insights into optimal configurations for enhanced model performance.Importantly,the findings promise to advance our grasp of soil NOx emission dynamics,with implications for environmental management strategies.Looking ahead,the anticipated availability of additional measurements is poised to bolster machine-learning model efficacy.Furthermore,the future study will explore physical-based RNNs,a promising avenue for deeper insights into soil NOx emission prediction.

Re-understanding and Thinking about Environmental Impact of Coal-fired Power Plants under Ultra-low Emission

From the perspective of development background,concepts and related policies of ultra-low emission,according to work practice,some issues and difficulties that need to be paid attention to in the environmental impact assessment of ultra-low-emission thermal power projects were discussed from the aspects of evaluation criteria,evaluation grade and scope,pollution control technical lines,environmental benefit accounting,and total emission control,and corresponding recommendations were put forward.

Combined Effect of a Catalytic Reduction Device with Waste Frying Oil-Based Biodiesel on NOx Emissions of Diesel Engines

Internal combustion engines with application in automobiles and other relevant industries constitute significant environmental pollution via the release of toxic exhaust gasses like carbon monoxide (CO), hydrocarbons (HC), particulate matter (PM), and nitrogen oxide (NOx). Engine researchers and manufacturers are challenged to develop external and internal measures to ensure environmentally friendly solutions to accommodate and conform to the growing list of emission standards. Therefore, this work presents an experimental investigation of the NOx emission profile of a diesel engine that is fuelled and fitted with waste frying oil-based biodiesel and catalytic converter. Using a single-cylinder, four-stroke air-cooled CI engine at a constant speed of 1900 rpm and different loadings of 25%, 50%, 75%, and 100%;fitted with a catalytic converter at the exhaust outlet of the engine and linked to a dynamometer and a gas analyser, an experiment was conducted at biodiesel/diesel volume blends of B0 (0/10), B5 (5/95), B20 (20/80), B30 (30/70), B70 (70/30), B100 (100/0);and 30% concentration (v/v), 0.5 litre/hr flow rate of aqueous urea from the catalytic converter. The results show an increasing NOx emission as the biodiesel component increased in the blend. The catalytic converter showed a downward NOx reduction with a significant 68% reduction in efficiency at high exhaust gas temperatures. It is concluded that the combined utilisation of waste frying oil-based biodiesel and the catalytic converter yields substantial NOx emission reduction.

Effect of Light Quality and Intensity on N_2O and NO_X(NO, NO_2)Emissions from Rice Phyllosphere and Roots at Tillering Stage in a Liquid Culture Medium System

[Objective] N2Oand NOX（NO, NO2） are important nitrogen oxides gases（NOGs） in paddy fields, and rice plants play important roles in NOG emissions in paddy fields. However, the source of NOG emissions from rice phyllosphere and roots and their relationship to light quality and intensity still remain unclear. In this study, the relationship between light quality, intensity and N2 O, NOX（NO, NO2） emissions from rice phyllosphere and roots at tillering stage was investigated to clarify the contribution of rice plants to N2Oand NOX（NO, NO2） emissions and analyze the mechanism of light control, aiming at providing a scientific basis for revealing how light-control technology affects NOG emissions from rice at tillering stage in paddy fields. [Method] In this study, nitrogen content was controlled by a hydroponic system. A small electric incubator was used for light control. A simultaneous determination was designed to investigate the effect of different weak light qualities（yellow, green, white, red and blue lights） and intensities（dark, 0 lx; very weak, 2 000lx; weak, 4 000 lx; moderate, 6 000 lx; strong, 8 000 lx） on N2Oand NOXemissions from rice phyllosphere and roots at tillering stage in a liquid culture medium system. N2Oconcentration in air samples was determined by gas chromatography within 12 h, and NOX（NO, NO2） concentration was analyzed using 42 i NO- NO2-NOXgas analyzer. [Result] The results showed that：（1） Under a constant nitrogen condition（NH4NO3-N, 90 mg/L） when rice seedlings were treated with moderate（6 000lx） and strong（8 000 lx） light, the average emission rate of N2Oand NO from rice phyllosphere at tillering stage was 27.08, 32.33 μg/（pot·h） and 0.114, 0.057 μg/（pot·h）,respectively, accounting for 57.38%, 58.65% and 9.65%, 4.52% of the total release of N2Oand NO from the whole rice plant, respectively. It implicated that rice phyllosphere is an important source of N2Oemission at tillering stage in paddy fields.（2）When rice seedlings were treated with yellow, green, white, red and blue LED lights under a constant light intensity（1 600 lx）, the average emission rate of N2Ofrom rice phyllosphere was 6.83, 9.40, 9.73, 2.82 and 4.08 μg/（pot·h）, respectively. Compared with green and yellow LED lights, N2Oemission from rice phyllosphere and roots at tillering stage was inhibited markedly by red（3 000 lx） and blue（2 500 lx）LED lights（P0.01）. In addition, NO emission from rice phyllosphere was enhanced significantly by white and red LED lights, while NO emissions from rice phyllosphere and roots were inhibited by blue light synchronously. Nevertheless, no evident NO2 emission from rice phyllosphere and roots was detected under the same condition.（3） Within the range of 0-8 000 lx, NO and N2Oemissions from rice roots and N2Oemission from rice phyllosphere increased with the enhancement of light intensity. In contrast, NO emission from rice phyllosphere was inhibited remarkably by moderate（6 000 lx） and strong（8 000 lx） light（P〈 0.01）. [Conclusion] Rice seedlings mainly exhibited net emissions of NO2 from the phyllosphere and roots.N2Oand NOX（NO, NO2） emissions from rice phyllosphere and roots at tillering stage could be inhibited by adjusting the composition of visible light（synchronously increasing the proportions of red and blue lights） and appropriately controlling daytime light intensity.

On Countermeasures and Suggestions to Control NO_X Emissions from Utility Boilers

In combination with low NOX combustion techniques inChina and in view of limits of the Standard of Discharging Atmo-spheric Pollutants from Thermal Power Plants to be published soon,this paper presents corresponding technical countermeasures andkey subjects to be studied.

Advances in reduction of NO_x and N_2O emission formation in an oxy-fired fluidized bed boiler

Fossil fuel combustion is one of the major means to meet the mounting global energy demand. However, the increasing NO_x and N_2 O emissions arising from fossil fuel combustion process have hazardous effects. Thus, mitigating these gases is vital to attain a sustainable environment. Interestingly, oxy-fuel combustion in fluidized bed for carbon capture and minimized NO_x emissions is strongly sustainable compare to the other approaches. It was assessed that NO_x formation and fuel-N conversion have significant limitation under oxy-fluidized bed compared to air mode and the mechanism of NO_x formation is still deficient and requires further development. In addition, this review paper discussed the potential of primary measure as low emission process with others supplementary techniques for feasible NO_x reduction. The influences of combustion mode, operating parameters, and reduction techniques such as flue gas recirculation, oxygen staging, biomass co-firing, catalyst, influence of fluidized bed design and structure, decoupling combustion and their merges are respectively evaluated. Findings show that significant minimization of NO_x emission can be achieved through combination of primary and secondary reduction techniques.

NO_x emission model for coal-fired boilers using partial least squares and extreme learning machine

To implement a real-time reduction in NOx,a rapid and accurate model is required.A PLS-ELM model based on the combination of partial least squares(PLS)and the extreme learning machine(ELM)for the establishment of the NOx emission model of utility boilers is proposed.First,the initial input variables of the NOx emission model are determined according to the mechanism analysis.Then,the initial input data is extracted by PLS.Finally,the extracted information is used as the input of the ELM model.A large amount of real data was obtained from the distributed control system(DCS)historical database of a 1 000 MW power plant boiler to train and validate the PLS-ELM model.The modeling performance of the PLS-ELM was compared with that of the back propagation(BP)neural network,support vector machine(SVM)and ELM models.The mean relative errors(MRE)of the PLS-ELM model were 1.58%for the training dataset and 1.69%for the testing dataset.The prediction precision of the PLS-ELM model is higher than those of the BP,SVM and ELM models.The consumption time of the PLS-ELM model is also shorter than that of the BP,SVM and ELM models.

温度对松木刨花CO_(2)气化过程NOx和SO2排放特性影响

CO_(2)气化技术是一种利用CO_(2)作为气化剂生产高品质可燃气体的新型技术,可以协同实现CO_(2)和农林固废的资源化利用,然而CO_(2)气化过程中NOx和SO2的排放特性鲜有报道。针对松木刨花在固定床反应器上开展了CO_(2)气化实验,系统研究了温度的影响。结果表明:在700、800、900℃进行CO_(2)气化时,CO产率分别为0.24、0.52和0.95 m^(3)/kg,明显高于H2和CH4的产率,CO是气化产气的主要成分;碳转化率分别为18.36%、36.15%和66.09%;气化效率分别为13.04%、41.59%和92.99%,高温促进了松木刨花的热化学转化。在700~900℃时,NOx中NO的质量浓度峰值和对应时长分别为248、129、138 mg/m^(3)和140、195、320 s,NO2的质量浓度峰值和对应时长分别为339、191、107 mg/m^(3)和115、150、265 s,SO2的质量浓度峰值和对应时长分别为3 299、3 065、2 882 mg/m^(3)和130、175、180 s。NOx和SO2的质量浓度峰值均随温度升高而逐渐降低,对应时长均逐渐增加,表明增加温度有利于降低NOx和SO2的生成速率。然而,NOx和SO2转化率随温度升高而逐渐增大,在900℃分别为49.73%和68.87%,提高温度会强化原料氧和CO_(2)的氧化作用,进而提升NOx和SO2转化率。随着温度升高,NO转化率增加而NO2转化率下降,炉内以CO为主要成分的还原性氛围促使NO2被还原为NO,提高松木刨花的CO_(2)气化温度有利于通过提高CO产率强化该还原作用。

Extra Low NO_x Emission Furnace with HTAC Technology

HTAC (High Temperature Air Combustion) technology needs high temperature air and low oxygen atmosphere to complete its unique combustion and achieve extra low NOx production. In order to apply HTAC technology to forge furnace and meet the NOx emission standard, exhaust gas regeneration technology in combination with no-fuel-switch and U-shape air circulation methods was applied on forge furnace. The results show that extra low NOx emission (NOx = 2.9 x 10(-5), in volume fraction) could be obtained, the NO, emission meets the standards of Japan and US, HTAC mechanism is discussed finally.

Atmospheric Carbon Dioxide and Nitrogen Oxides Emissions Data for 2003-2005 Model Year Trucks

Heavy-duty trucks account for a substantial portion of the atmospheric carbon dioxide (CO2) and nitrogen oxides (NOx) inventory. The data presented in this paper will help the research community be interested in developing models that predict the NOx and CO2 levels in real use. Continuous data of emissions were recorded from chassis dynamometer testing of five 2003-2005 model year (MY) heavy-duty trucks. The instantaneous emissions rate was plotted against axle power in all cases. The effect of vehicle test weight and the drive cycle employed on the relation between emissions rate (grams per sec) and axle power was studied. The NOx/CO2 ratio was found to be independent of the test cycle. The average NOx/CO2 ratio for the 2003-2005 MY trucks was found to be 0.0051, which agrees reasonably well with the estimated ratio of 0.0048, based on certification standards. The data were compared to those from 1994-2002 MY trucks;the average NOx/CO2 ratio for those trucks was 0.0141. For the 2003-2005 MY trucks, the distance specific NOx (grams per mile) and the fuel economy (miles per gallon) were less than those of 1994-2002 MY trucks.

Evaluation of the Implementation of a Low Emission Zone in Lisbon

The city of Lisbon, like many others in the EU region, introduced a Low Emission Zone (LEZ) as a tool for improving air quality in its city centre. This kind of emission reduction schemes is always controversial since it might lead to significant changes in the daily behaviours of its inhabitants. In order to evaluate the effects of the measure, an estimation of the impact of the introduction of the Lisbon LEZ was performed. Real traffic counting and fleet characterization combined with CORINAR-based emission inventory methodology allowed to estimate the impacts of three different scenarios applied to the “business as usual” condition (current vehicle fleet) ranging from “no circulation from non- compliant vehicles” to an “aggressive fleet renewal”. Results highlight the high percentage of atmospheric emissions of PM10 and NOx that might result from certain fleets like taxis and buses, especially because there was an emphasis in standardized/normalized estimations (emissions per 1000 vehicles) in order to allow different strategic approaches. The total reduction of PM10 emissions associated to each scenario vary between 6 ton.year-1 (scenario 2) and 8 ton.year-1 (scenario 1), or 25% and 34% less emissions. In terms of NOxemission reductions vary between 6 ton.year-1 (scenario 2) and 57 ton.year-1 (scenario 1), or 1% and 7% less emissions. The Lisbon LEZ is therefore much more efficient in reducing PM10 emissions compared to NOx. Major reduction in PM10 and NOx emissions are to be expected with a moderate intervention in the (relatively old) taxi fleet in Lisbon while for passenger cars the impact is limited. However in absolute terms and due to its urban mileage passenger cars should also continue being included in Lisbon LEZ. Simultaneously, an effort in the increase of dedicated lanes for public transport should be made, for further reductions in PM10 and NOx emissions.

基于人工神经网络的农用拖拉机NOx排放预测模型研究

准确预测NOx实际工况排放对于控制区域污染物排放具有重要意义。文章以拖拉机为研究对象,采用车载排放测试系统对拖拉机在实际作业工况下的NOx排放进行测试。通过选择影响NOx排放的因素进行相关性分析,确定拖拉机实际作业工况下影响NOx排放的主要因素,并运用这些因素建立NOx排放预测模型。在建立农用拖拉机NOx排放预测模型方面,分别采用了反向传播(BP)神经网络、长短期记忆(LSTM)神经网络以及遗传算法(GA)优化后的BP神经网络和LSTM神经网络,并对这些模型进行对比分析,进而评估其预测效果。研究结果显示,在所建立的模型中,经过优化的GA-BP神经网络模型在预测NOx排放方面效果最佳,该模型在各项评估指标上的结果都优于其他神经网络模型,RMSE、MAE、MAPE和R2分别为5.679×10^(-3)、4.057×10^(-3)、3.751%和0.9915。因此,使用GA-BP神经网络模型预测农用拖拉机NOx排放是可行的。

基于神经网络的重型车辆远程监控NOx传感器露点保护过程数据修复方法

为解决重型车辆远程监控数据中NOx传感器露点保护过程的数据无效问题,利用一辆国六重型车辆的PEMS测试对露点保护期间的高NOx排放问题进行探究,验证了利用神经网络算法修复数据和提高远程监测数据利用率的可行性。结果表明,NOx传感器露点保护过程会导致30%以上的NOx排放量未被统计;在露点保护期间,超过90%的数据显示车辆速度低于54 km/h、发动机冷却液温度低于82℃、SCR入口温度低于245℃、SCR出口温度低于225℃。神经网络算法可有效修复露点保护过程中失效的NOx测量值,对发动机原始排放和车辆尾管排放的累计排放量误差都在4%以内。

基于某装载机高原环境下NOx排放的模拟研究

为了探讨工程机械在高原环境下的燃烧排放特性,本文以某装载机柴油发动机为原型,建立高原环境下的数值计算模型,研究该柴油机在高原环境下的燃烧排放特性。结果表明:NOx的产生与发动机缸内温度密切相关。且当发动机转速不变时,随着海拔的上升,发动机NOx的排放有着先上升后下降的趋势;当海拔不变时,发动机转速提高,其NOx的排放也逐渐增加。