scholarly journals Precision Improvement for the Detection of TGC via RBF Network

2020 ◽  
Vol 2020 ◽  
pp. 1-7
Author(s):  
Yue Yan

The approach of multipoint measurement, with increasing hardware cost, should no longer be adopted against the problem of low detection precision on the quality and concentration measurement of large-caliber or irregular pipeline gas with the single platinum film probe. Alternatively, the data correction and improvement can be carried out through establishing an RBF model to detect sample gas after preprocessing. Furthermore, the computer simulation and error analysis can be implemented by taking actual SO2 data emitted by one medium-sized coal-fired power plant in China as a training sample. Hence, it can be shown that this approach on improvement and analysis of continuous monitoring of the systematic integrated error against the instrument correction and flue gas emission has feasibility, and the comprehensive average error is less than 0.6%.

2014 ◽  
Vol 522-524 ◽  
pp. 638-642
Author(s):  
Helmut Neff ◽  
Elmar Uwe Kurt Melcher ◽  
Joseana Macêdo Fechine Régis de Araújo ◽  
Sergio de Brito Espinola ◽  
Adalberto Gomes Teixeira Júnior ◽  
...  

Total flue gas emission is a crucial quantity for control of environmental impact in thermal power plants. Direct gas flow measurements by Pitot tubes and other sensors are hampered by the very high temperature at the exhaust, high content of carbon soot and frequently turbulent flow conditions, which cause a non-parabolic flow profile across the exhaust cross section. We are developing an optical imaging method for gas flux measurements, using shadow video imaging of the dynamic hot gas emission profile at the power plant exhaust. All, high exhaust gas temperature, pressure increase and carbon soot content cause small variations of the refractive index. This deflects a considerable amount direct sunlight under inclined solar illumination conditions (at approx 38 deg inclination angle), and results in a rather sharp contrast and clear shadow image of the gas flow above the exhaust. This feature is not observable in direct transmission imaging. The distant flow shadow image pattern, as seen on the plant floor, is video monitored over a short time period and the dynamic image evolution digitally processed and analyzed. The presented method is similar to the well known optical so-called Schlieren imaging technique. Initial video processing algorithms and results are presented that provide the flue gas flow velocity directly at the exhaust exit, being close to the expected values, obtained from power plant process parameters.


2013 ◽  
Vol 846-847 ◽  
pp. 692-695
Author(s):  
Hai Ming Zheng ◽  
Tie Qiao Guo

Monitoring emissions of air pollution sources has become a complex and contentious issue. Regulations for continuous monitoring of these sources have expanded dramatically in scope over the past years. To demonstrate compliance with emission limits, and as required by Pollution Control Board, the power plant shall have a Continuous Emission Monitoring (CEM) System installed in each flue of the stack for each unit. This paper will mainly design a set of CEM system for flue gas from power plant. The measurement shall conform to EPA regulations.


2013 ◽  
Vol 807-809 ◽  
pp. 2753-2756 ◽  
Author(s):  
Chen Yu Cao ◽  
Zhen Li ◽  
Jian Xing Ren

PM2.5 has serious harm to human health and the environment, coal-fired power plant flue gas emission is one of the important sources of PM2.5, however dust removal equipment for PM2.5 and finer particulate collection efficiency is very low.Mixed dust removal technology have various problems such as cost increasing , complex operation, the material requirements and capture efficiency of fine particle is not obvious. Coagulation as an effective method of collecting sub-micron particles, has good prospects for development.Further study of the mechanism of coagulation and coagulation technology in practical application of industrial production became focus of future research.


ACS Omega ◽  
2020 ◽  
Vol 5 (50) ◽  
pp. 32551-32563
Author(s):  
Peiyuan Pan ◽  
Weijian Zhou ◽  
Heng Chen ◽  
Naiqiang Zhang
Keyword(s):  

Author(s):  
Akili D. Khawaji ◽  
Jong-Mihn Wie

The most popular method of controlling sulfur dioxide (SO2) emissions in a steam turbine power plant is a flue gas desulfurization (FGD) process that uses lime/limestone scrubbing. Another relatively newer FGD technology is to use seawater as a scrubbing medium to absorb SO2 by utilizing the alkalinity present in seawater. This seawater scrubbing FGD process is viable and attractive when a sufficient quantity of seawater is available as a spent cooling water within reasonable proximity to the FGD scrubber. In this process the SO2 gas in the flue gas is absorbed by seawater in an absorber and subsequently oxidized to sulfate by additional seawater. The benefits of the seawater FGD process over the lime/limestone process and other processes are; 1) The process does not require reagents for scrubbing as only seawater and air are needed, thereby reducing the plant operating cost significantly, and 2) No solid waste and sludge are generated, eliminating waste disposal, resulting in substantial cost savings and increasing plant operating reliability. This paper reviews the thermodynamic aspects of the SO2 and seawater system, basic process principles and chemistry, major unit operations consisting of absorption, oxidation and neutralization, plant operation and performance, cost estimates for a typical seawater FGD plant, and pertinent environmental issues and impacts. In addition, the paper presents the major design features of a seawater FGD scrubber for the 130 MW oil fired steam turbine power plant that is under construction in Madinat Yanbu Al-Sinaiyah, Saudi Arabia. The scrubber with the power plant designed for burning heavy fuel oil containing 4% sulfur by weight, is designed to reduce the SO2 level in flue gas to 425 ng/J from 1,957 ng/J.


2004 ◽  
Vol 30 (6) ◽  
pp. 758-761
Author(s):  
Tomio MIMURA ◽  
Yasuyuki YAGI ◽  
Masaki IIJIMA ◽  
Ryuji YOSIYAMA ◽  
Takahito YONEKAWA

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