Performance and Air Pollutant Emissions of an Experimental Water/Residual Oil Emulsion Burner in a Commercial Boiler

1981 ◽  
Vol 103 (4) ◽  
pp. 788-796
Author(s):  
J. Taylor Beard ◽  
R. E. Hall
Keyword(s):  
Air Pollutant ◽  
Pollutant Emissions ◽  
Particulate Emissions ◽  
Stoichiometric Ratio ◽  
Operational Parameters ◽  
Oil Emulsion ◽  
Performance Loss ◽  
Particulate Mass ◽  
Oil Emulsions ◽  
Pollution Emissions

The performance and air pollution emissions of an experimental water/oil emulsion burner are presented. The burner was fired with two residual oils at selected emulsion water fractions. In addition, various stoichiometric ratios and two load conditions were used to determine how operational parameters influenced the results. Particulate mass emissions and particle size distributions are presented. Examples show that, even though particulate mass may decrease, the total amount of fine particulate emissions may increase by using water/oil emulsions. The performance of the boiler is reduced when large fractions of water are used in the emulsion due to latent heat losses. This performance loss may be only slightly recovered by operating at a reduced stoichiometric ratio corresponding to a smoke limit. NOx and CO emissions data are also presented for various test conditions, but neither were affected significantly by use of water/oil emulsions.

The Effect of Water/Residual Oil Emulsions on Air Pollutant Emissions and Efficiency of Commercial Boilers

1976 ◽  
Vol 98 (4) ◽  
pp. 425-430 ◽  
Author(s):  
R. E. Hall
Keyword(s):  
Mechanical Energy ◽  
Air Pollutant ◽  
The Other ◽  
Pollutant Emissions ◽  
Residual Oil ◽  
Water Emulsion ◽  
Effect Of Water ◽  
Oil Flow ◽  
Particulate Mass ◽  
Oil Emulsions

Two commercially available water-in-oil emulsifiers were tested to determine the effect of water/residual oil emulsions on air pollutant emissions and thermal efficiency of a packaged boiler. Of the two emulsifiers, one (Cottell reactor) utilized low pressure mechanical and ultrasonic energy and the other (total emulsifier) utilized high pressure mechanical energy. Each emulsifier was tested at a constant oil flow rate with varying amounts of water over a range of stoichiometric ratios. Water/residual oil emulsions from both emulsifiers significantly reduced particulate mass. With the Cottell reactor smoke emissions were significantly reduced, whereas with the Total emulsifier smoke emissions increased and peaked with a 20 percent water emulsion, then decreased as water was increased to 30 percent. Neither emulsifier had any significant effect on emissions of NO, SO2, or HC when firing water/residual oil emulsions. Both emulsifiers were capable of improving efficiency by approximately 2 percent under certain conditions.

scholarly journals Forecasting Particulate Pollution in an Urban Area: From Copernicus to Sub-Km Scale

Atmosphere ◽  
2021 ◽  
Vol 12 (7) ◽  
pp. 881
Author(s):  
Areti Pappa ◽  
Ioannis Kioutsioukis
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Local Scale ◽  
Air Pollutant ◽  
Pollutant Emissions ◽  
Spatiotemporal Pattern ◽  
Particulate Emissions ◽  
Particulate Pollution ◽  
Predictive Skill ◽  
Pm2.5 And Pm10

Particulate air pollution has aggravated cardiovascular and lung diseases. Accurate and constant air quality forecasting on a local scale facilitates the control of air pollution and the design of effective strategies to limit air pollutant emissions. CAMS provides 4-day-ahead regional (EU) forecasts in a 10 km spatial resolution, adding value to the Copernicus EO and delivering open-access consistent air quality forecasts. In this work, we evaluate the CAMS PM forecasts at a local scale against in-situ measurements, spanning 2 years, obtained from a network of stations located in an urban coastal Mediterranean city in Greece. Moreover, we investigate the potential of modelling techniques to accurately forecast the spatiotemporal pattern of particulate pollution using only open data from CAMS and calibrated low-cost sensors. Specifically, we compare the performance of the Analog Ensemble (AnEn) technique and the Long Short-Term Memory (LSTM) network in forecasting PM2.5 and PM10 concentrations for the next four days, at 6 h increments, at a station level. The results show an underestimation of PM2.5 and PM10 concentrations by a factor of 2 in CAMS forecasts during winter, indicating a misrepresentation of anthropogenic particulate emissions such as wood-burning, while overestimation is evident for the other seasons. Both AnEn and LSTM models provide bias-calibrated forecasts and capture adequately the spatial and temporal variations of the ground-level observations reducing the RMSE of CAMS by roughly 50% for PM2.5 and 60% for PM10. AnEn marginally outperforms the LSTM using annual verification statistics. The most profound difference in the predictive skill of the models occurs in winter, when PM is elevated, where AnEn is significantly more efficient. Moreover, the predictive skill of AnEn degrades more slowly as the forecast interval increases. Both AnEn and LSTM techniques are proven to be reliable tools for air pollution forecasting, and they could be used in other regions with small modifications.

scholarly journals Tracing Air Pollutant Emissions in China: Structural Decomposition and GVC Accounting

2019 ◽  
Vol 11 (9) ◽  
pp. 2551 ◽  
Author(s):  
Yuyi Chen ◽  
Yunong Li ◽  
Jie Yan
Keyword(s):  
Value Chain ◽  
Air Pollutants ◽  
Air Pollutant ◽  
Pollutant Emissions ◽  
Factors Affecting ◽  
Production And Consumption ◽  
Value Chain Accounting ◽  
High Pollution ◽  
Pollution Emissions ◽  
Air Pollution Emissions

The depth and breadth of China’s participation in global value chains have an important impact on the emissions of air pollutants from the production side, consumption side, and trade implications in China’s industries. Based on the global value chain accounting framework, this paper examines the path of China’s major air pollutant emissions in production and consumption during 1995–2009 and structurally decomposes the factors affecting air pollutant emissions. The results show that, firstly, both the air pollutant emissions on the production side and the air pollution emissions on the consumption side have increased significantly, and the production-side emissions have been higher than the consumption-side emissions. Secondly, the export of intermediate products shows a trend of “high pollution”, and this trend was more obvious after China’s accession to the world trade organization (WTO). Thirdly, the expansion of economic growth was the most important factor in the rapid emission of air pollutants in China and the reduction of pollution efficiency in Chinese industries depends on the increase in service inputs.

scholarly journals Uncovering the characteristics of air pollutants emission in industrial parks and analyzing emission reduction potential: case studies in Henan, China

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Gengyu Gao ◽  
Shanshan Wang ◽  
Ruoyu Xue ◽  
Donghui Liu ◽  
He Ren ◽  
...  
Keyword(s):  
Air Pollutants ◽  
Emission Reduction ◽  
Reduction Potential ◽  
Air Pollutant ◽  
Pollutant Emissions ◽  
Pollutant Emission ◽  
Particulate Emissions ◽  
Industrial Parks ◽  
Emission Reduction Potential ◽  
Energy Intensive Industries

AbstractIndustrial parks contribute greatly to China’s economic development while emitting huge air pollutants. It is necessary to study the characteristics of air pollutant emissions in industrial parks. In this study, emission inventories for 11 industrial parks were established. Meanwhile, the source emission and spatial distribution characteristics of the industrial park were analyzed. The cluster analysis was used to classify these parks into “4Hs”, “Mixed” and “4Ls” parks. “4Hs”, “Mixed” and “4Ls” represent that the levels of energy intensity, economic proportion of energy-intensive industries, coal proportion and pollution performance value are high, medium and low in turn. Then three emission reduction measures were set up to estimate the emission reduction potential and environmental impacts. The results show that: (1) the emissions of SO2, NOx, CO, PM10, PM2.5, VOCs and NH3 of 11 industrial parks in 2017 were 11.2, 23.1, 30.8, 8.3, 3.5, 5.1, and 1.1 kt, respectively. (2) Power plants were the largest source of SO2 and NOx emissions, and industrial processes were the largest emission source of CO, PM10, PM2.5, VOCs and NH3. (3) “4Hs” parks with traditional energy-intensive industries as the leading industries should be the emphasis of air pollutant emission reduction. (4) Through the optimal emission reduction measures, SO2, NOx, PM10, PM2.5 and VOCs were reduced by 81, 46, 51, 46 and 77%, respectively. Environmental impact reductions include 1.6 kt SO2eq acidified gas emissions, 1.4 kt PO43−eq eutrophication substances, 4.2 kt PM10eq atmospheric particulate emissions, 7.0 kt 1,4-DCEeq human toxic substances, and 5.2 kt PM2.5 eq breathing Inorganic. This study is helpful to understand the characteristics of air pollutants emissions in industrial parks and promotes the proposal and implementation of air pollutant emissions reduction strategies.

MITIGATION OF HAZARDOUS AIR POLLUTANT EMISSIONS: VACUUM vs. CONVENTIONAL SEWER SYSTEM

2017 ◽  
Vol 16 (4) ◽  
pp. 809-819 ◽  
Author(s):  
Gabriel Lazar ◽  
Iulia Carmen Ciobotici Terryn ◽  
Andreea Cocarcea
Keyword(s):  
Air Pollutant ◽  
Pollutant Emissions ◽  
Sewer System ◽  
Hazardous Air Pollutant

Destruction of water-in-oil emulsions in electromagnetic fields in a dynamic mode

2012 ◽  
Vol 9 (1) ◽  
pp. 110-115
Author(s):  
L.A. Kovaleva ◽  
R.R. Zinnatullin ◽  
V.N. Blagochinnov ◽  
A.A. Musin ◽  
Yu.I. Fatkhullina ◽  
...  
Keyword(s):  
Dielectric Properties ◽  
Radio Frequency ◽  
Electromagnetic Fields ◽  
Dynamic Mode ◽  
Droplet Dynamics ◽  
Oil Emulsion ◽  
Numerical Studies ◽  
Em Field ◽  
Oil Emulsions ◽  
Water In Oil Emulsion

Some results of experimental and numerical studies of the influence of radio-frequency (RF) and microwave (MW) electromagnetic (EM) fields on water-in-oil emulsions are presented. A detailed investigation of the dependence of the dielectric properties of emulsions on the frequency of the field makes it possible to establish the most effective frequency range of the EM influence. The results of water-in-oil emulsion stability in the RF EM field depending on their dielectric properties are presented. The effect of the MW EM field on the emulsion in a dynamic mode has been studied experimentally. In an attempt to understand the mechanism of emulsion destruction the mathematical model for a single emulsion droplet dynamics in radio-frequency (RF) and microwave (MW) electromagnetic fields is formulated.

Demulsification of a Water-in-crude Oil Emulsion with a Corn Oil BasedDemulsifier using the Response Surface Methodology: Modelling and Optimization

2021 ◽  
Vol 14 ◽  
Author(s):  
Abed Saad ◽  
Nour Abdurahman ◽  
Rosli Mohd Yunus
Keyword(s):  
Response Surface Methodology ◽  
Crude Oil ◽  
Water Content ◽  
Response Surface ◽  
Separation Efficiency ◽  
Corn Oil ◽  
Oil Emulsion ◽  
Optimal Values ◽  
Input Variables ◽  
Oil Emulsions

: In this study, the Sany-glass test was used to evaluate the performance of a new surfactant prepared from corn oil as a demulsifier for crude oil emulsions. Central composite design (CCD), based on the response surface methodology (RSM), was used to investigate the effect of four variables, including demulsifier dosage, water content, temperature, and pH, on the efficiency of water removal from the emulsion. As well, analysis of variance was applied to examine the precision of the CCD mathematical model. The results indicate that demulsifier dose and emulsion pH are two significant parameters determining demulsification. The maximum separation efficiency of 96% was attained at an alkaline pH and with 3500 ppm demulsifier. According to the RSM analysis, the optimal values for the input variables are 40% water content, 3500 ppm demulsifier, 60 °C, and pH 8.

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